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Research companion · Out now on iOS

Keep up with the literature, one swipe at a time.

JClub reads the firehose — 103 journals and the preprint servers — and hands you the papers worth your attention: one card at a time, each with a four-part AI summary and a link to the source of record. Where your library is on LibKey, the full text is one tap away.

Download JClub on the App Store

Free, and it works without an account. On Android? Get an email the day it lands.

103journals10fields
2preprint servers
4-partAI summary
What moved · week to 10 Oct 2026

This week on JClub

New citations, press coverage and Bluesky conversation, measured nightly across every paper JClub indexes — with the app’s AI summary on each.

Where it fits

Built for the minutes between experiments.

Keeping up is rarely a reading block you schedule. It’s a few minutes between the bench and the next meeting, working out whether anything published since you last looked is worth opening. JClub is built for that session, not for a seated hour.

A researcher reading on her phone at a lab bench in early morning light.
How it works

From firehose to feed in four steps.

  1. Choose your journals

    Pick from 103 titles across 10 fields — or start with three interests and let the ranking work from those.

  2. Swipe through what’s new

    The newest papers arrive as focused cards, one at a time. Swipe up when you’re done — the deck remembers where you left off.

  3. Read the way you want

    Lead with the four-part AI summary, read the abstract where its licence allows, or open the full text — through your own library where it holds the paper. Every card links to the source of record.

  4. Let the signals find you

    Follow authors and papers, set alert keywords, and get a push when a new paper cites your work.

Inside JClub

A feed that reads the way you do.

One paper at a time

No infinite scroll, no wall of tabs. Each new paper is a single card — swipe up when you’re done, and the deck remembers exactly where you left off.

Summaries you can scan in seconds

Every paper with an abstract opens with a four-part AI summary: the finding, why it matters, what they did, and the result — the headline marked in blue, the rest in reading order. The paper itself is one tap away — and the abstract too, where its licence allows.

NatureHighly accurate protein structure prediction with AlphaFold

AlphaFold predicts a protein's 3D structure from its sequence alone with near-experimental accuracy — a median backbone error of about 1 Å across the CASP14 blind assessment.

  • Solving one protein structure experimentally can take years, so most known protein sequences have never had a structure.
  • The team trained a neural network on known structures and evolutionary information, then submitted blind predictions to the CASP14 assessment.
  • Predictions were competitive with experimental structures for most targets — accurate enough to power structural biology at proteome scale.
Headline picked out, the rest neutral — the app’s own rail colours.

Alerts with a reason

Every notification answers three questions at a glance: which paper, why you, why now. Citations to your work lead; keyword matches, followed authors and papers, and your digest follow — every kind is laid out in Tuned to you below.

Tuned to you

Every control, in plain sight.

JClub personalises on three things you set yourself — the interests you name, the papers you’ve published, and the journals and people you follow. Here they are, with the controls around them, drawn the way they look in the app.

Ranked by what you publish, not just what you tap

Home is ranked inside the journals you track by the interests you name and, once you’ve connected ORCID, by your own publication record. Signed in, it also learns quietly from what you save, open and skip. One switch decides the balance.

Example

Personalize Home by

Choose what shapes your Home feed. Publications only apply once you’ve connected your author profile.

Papers that match you always come before the rest, whichever mode you pick.

Interests rank. Keywords filter.

Name three or more interests and they shape Home, the Discover rails, News for you, search shortcuts and your digest — matched on topics, not just the literal word. Keyword filters are the strict cousin: only papers containing that exact term, DOI or trial ID reach the deck.

Each interest is matched on topics — see the ones moving this week →

Example

Every alert says which paper, why you, why now

Up to five alert keywords are checked against every new title and abstract — real-time, hourly or daily. Add citation alerts for your own papers and for any paper you follow, a push when a followed author publishes, and a note if a saved paper is retracted or a preprint you follow is published. Usually within a few hours of a paper appearing online.

One push a week with the papers that matched you

The weekly digest leads with any new citations to your work — otherwise with your top interest — then your strongest match, its one-line finding and journal, with the rest a tap away. It holds one to five papers and skips a week rather than pad one. A daily digest is there if you want it.

Get a daily summary of new papers.

Get a weekly summary of top papers.

Follow journals, authors, papers — and your institution

Star a journal and its newest papers become stories at the top of Discover. Follow an author for a rail of their newest work and a push when they publish — for profiles JClub can verify. Follow a paper to be told when it’s cited. Claim your institution for its newest papers in Discover.

Example
  • All
  • First
  • Co-first
  • Senior
  • Corresponding

Read an author’s record by role.

Reading, the way you want it

Prefer papers with abstracts? One switch hides the rest. Motion is optional, so is the summary highlighting, and the daily science brief is one switch — on iOS it may start as a quiet trial you can turn off. No permission dialog at launch, only when you switch something on. Library access has its own switch once you’ve claimed your institution — where your library is on LibKey, JClub checks the holding before it promises full text — with an advanced field for a custom proxy.

Example

App

Turn this off to keep abstract-missing articles out of the feed.

Disable swipe animations in the feed.

Mark the summary’s headline with a blue rail. Also toggleable on each card.

One notification each morning with the day’s biggest science stories. Works signed out.

Library access

Your library is on LibKey: JClub checks whether your library has each article, so a “Full text” label means it’s really there. You sign in on your library’s own page — JClub never sees your password.

Custom proxy URL (advanced)The same setting Zotero uses.
Not set

Defaults shown — on iOS the science brief may start as a quiet trial; the switches here are a preview.

News, grants, meetings and jobs — each with a reason

A one-paragraph morning read on the day’s biggest science stories, research news with our own brief and a link out, funding calls sorted by what closes next, meetings soonest-first by region, and research jobs with closing dates up front. Every For You rail says why: “Because you follow …”.

Discover

An editorial layer over your fields.

Home is what’s new in the journals you track, ranked for you. Discover is what that feed would miss — one question per rail, named in the title.

Methods

Technique-heavy papers worth scanning when you need a methods refresh.

See these 8 papers
  1. Interactive Tree of Life (iTOL) v6: recent updates to the phylogenetic tree display and annotation tool — Nucleic Acids Res, 4/2024, Ivica Letunic et al. · 4,796 cites
  2. A new framework for developing and evaluating complex interventions: update of Medical Research Council guidance — BMJ, 9/2021, Kathryn Skivington et al. · 4,611 cites
  3. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods — BMJ, 4/2024, Gary S Collins et al. · 3,723 cites
  4. YaHS: yet another Hi-C scaffolding tool — Bioinformatics, 12/2022, Chenxi Zhou et al. · 2,528 cites
  5. MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation — Nucleic Acids Res, 4/2024, Zhiqiang Pang et al. · 2,353 cites
  6. TimeTree 5: An Expanded Resource for Species Divergence Times — Mol Biol Evol, 8/2022, Sudhir Kumar et al. · 1,552 cites
  7. Methods and applications for single-cell and spatial multi-omics — Nat Rev Genet, 3/2023, Katy Vandereyken et al. · 1,223 cites
  8. A Python library for probabilistic analysis of single-cell omics data — Nat Biotechnol, 2/2022, Adam Gayoso et al. · 847 cites

High impact

Papers punching above field average by normalized citation impact (FWCI).

See these 8 papers
  1. DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning — Nature, 9/2025, Daya Guo et al. · 1,166 cites
  2. Phase 3 Trial of Semaglutide in Metabolic Dysfunction–Associated Steatohepatitis — NEJM, 6/2025, Arun J. Sanyal et al. · 1,021 cites
  3. Tirzepatide as Compared with Semaglutide for the Treatment of Obesity — NEJM, 7/2025, Louis J. Aronne et al. · 585 cites
  4. Global burden of 292 causes of death in 204 countries and territories and 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023 — Lancet, 10/2025, Mohsen Naghavi et al. · 510 cites
  5. NF-κB in inflammation and cancer — Cell Mol Immunol, 6/2025, Hongmei Mao et al. · 493 cites
  6. The intestinal barrier: a pivotal role in health, inflammation, and cancer — Lancet Gastroenterol Hepatol, 6/2025, Markus F Neurath et al. · 481 cites
  7. The EAT–Lancet Commission on healthy, sustainable, and just food systems — Lancet, 10/2025, Johan Rockström et al. · 466 cites
  8. Homogenized chlorine distribution for >27% power conversion efficiency in perovskite solar cells — Science, 11/2025, Zhuang Xiong et al. · 451 cites

Foundational

Long-horizon papers that still define the conversation. Filter by 1, 5, 10, or 20 years.

See these 8 papers
  1. Global burden of 292 causes of death in 204 countries and territories and 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023 — Lancet, 10/2025, Mohsen Naghavi et al. · 510 cites
  2. The EAT–Lancet Commission on healthy, sustainable, and just food systems — Lancet, 10/2025, Johan Rockström et al. · 466 cites
  3. Homogenized chlorine distribution for >27% power conversion efficiency in perovskite solar cells — Science, 11/2025, Zhuang Xiong et al. · 451 cites
  4. Advancing regulatory variant effect prediction with AlphaGenome — Nature, 1/2026, Žiga Avsec et al. · 319 cites
  5. Endoscopist deskilling risk after exposure to artificial intelligence in colonoscopy: a multicentre, observational study — Lancet Gastroenterol Hepatol, 10/2025, Krzysztof Budzyń et al. · 277 cites
  6. Transparent Reporting of Observational Studies Emulating a Target Trial—The TARGET Statement — JAMA, 9/2025, Aidan G. Cashin et al. · 240 cites
  7. Hallmarks of cancer—Then and now, and beyond — Cell, 4/2026, Douglas Hanahan · 227 cites
  8. 2026 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association — Circulation, 3/2026, Latha P. Palaniappan et al. · 212 cites
See these 8 papers
  1. Accurate structure prediction of biomolecular interactions with AlphaFold 3 — Nature, 5/2024, Josh Abramson et al. · 16,653 cites
  2. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis — Lancet, 2/2022, Christopher J L Murray et al. · 14,518 cites
  3. The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest — Nucleic Acids Res, 11/2022, Damian Szklarczyk et al. · 9,639 cites
  4. ColabFold: making protein folding accessible to all — Nat Methods, 5/2022, Milot Mirdita et al. · 9,455 cites
  5. Hallmarks of Cancer: New Dimensions — Cancer Discov, 1/2022, Douglas Hanahan · 9,158 cites
  6. AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models — Nucleic Acids Res, 11/2021, Mihaly Varadi et al. · 8,089 cites
  7. Hallmarks of aging: An expanding universe — Cell, 1/2023, Carlos López-Otín et al. · 6,442 cites
  8. Evolutionary-scale prediction of atomic-level protein structure with a language model — Science, 3/2023, Zeming Lin et al. · 5,759 cites
See these 8 papers
  1. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews — BMJ, 3/2021, Matthew J Page et al. · 90,698 cites
  2. Highly accurate protein structure prediction with AlphaFold — Nature, 7/2021, John Jumper et al. · 45,068 cites
  3. SciPy 1.0: fundamental algorithms for scientific computing in Python — Nat Methods, 2/2020, Pauli Virtanen et al. · 38,146 cites
  4. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation — Ann Intern Med, 10/2018, Andrea C. Tricco et al. · 38,115 cites
  5. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China — Lancet, 2/2020, Chaolin Huang et al. · 36,729 cites
  6. MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms — Mol Biol Evol, 5/2018, Sudhir Kumar et al. · 34,133 cites
  7. fastp: an ultra-fast all-in-one FASTQ preprocessor — Bioinformatics, 9/2018, Shifu Chen et al. · 28,870 cites
  8. RoB 2: a revised tool for assessing risk of bias in randomised trials — BMJ, 8/2019, Jonathan A C Sterne et al. · 26,861 cites
See these 8 papers
  1. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 — Genome Biol, 12/2014, Michael I Love et al. · 90,778 cites
  2. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews — BMJ, 3/2021, Matthew J Page et al. · 90,698 cites
  3. Fiji: an open-source platform for biological-image analysis — Nat Methods, 6/2012, Johannes Schindelin et al. · 68,231 cites
  4. Trimmomatic: a flexible trimmer for Illumina sequence data — Bioinformatics, 4/2014, Anthony M. Bolger et al. · 63,081 cites
  5. NIH Image to ImageJ: 25 years of image analysis — Nat Methods, 6/2012, Caroline A Schneider et al. · 61,504 cites
  6. The Sequence Alignment/Map format and SAMtools — Bioinformatics, 6/2009, Heng Li et al. · 60,211 cites
  7. Hallmarks of Cancer: The Next Generation — Cell, 3/2011, Douglas Hanahan et al. · 57,337 cites
  8. Highly accurate protein structure prediction with AlphaFold — Nature, 7/2021, John Jumper et al. · 45,068 cites

A one-year window has few true classics, so the app tops it up from High impact, Rising and New — this list does the same.

Every rail in the app
For you
Papers matched to what you read and publish. (signed in)
In your interests
One rail per interest: the newest papers in it from the last 30–180 days.
New from authors you follow
The latest work from researchers you follow.
From your institution
The newest papers affiliated with your institution.
Starred journals
Fresh and high-signal picks from journals you starred.
Rising
Fast-moving papers gaining unusually strong recent attention.
Methods
Technique-heavy papers worth scanning when you need a methods refresh. — shown above
New
The newest additions, biased toward recency rather than signal.
Preprints
Early signals from bioRxiv and medRxiv before formal publication.
Open access
Open papers you can read immediately without leaving the thread cold.
High impact
Papers punching above field average by normalized citation impact (FWCI). — shown above
Foundational
Long-horizon papers that still define the conversation. Filter by 1, 5, 10, or 20 years. — shown above

On this page the rails glide so you can see more of them. In the app you scroll each rail yourself and page it ten cards at a time.

Real papers from the app’s Discover rails, a snapshot taken 20 September 2026 · citation counts via Crossref · field percentiles via OpenAlex · titles link to doi.org. In the app the rails refresh hourly and rotate daily.

Full textWorks with LibKey

Full text from your library, one tap away.

Claim your institution once. Where your library is on LibKey — most Australian universities and around 1,800 libraries worldwide — JClub asks your library before it promises anything, so when a card says Full text, it’s really there.

  • Checked, not guessed. Every paper is checked against your library’s own holdings before you tap. No landing on a paywall you were told was open.
  • Your library’s sign-in, never ours. You sign in on your library’s own page. JClub never sees your password and never handles your credentials.
  • Not on LibKey? No worries. Claim your institution anyway and tell us with one tap — we set up your library’s own access route for you.
LibKey
Works with LibKey
The same service your library already runs — JClub simply asks it first.

LibKey is a trademark of Third Iron LLC.

Connected appsNew

Save it in JClub. Cite it from Zotero or Mendeley.

Connect Zotero or Mendeley once, and every paper you save lands in a “JClub” collection or folder in your own library — ready in your reference manager when you sit down to write. Nothing to export, nothing to remember.

  • Add-only, by design. JClub only ever adds papers — it never edits or deletes anything in your library.
  • Metadata, nothing else. Titles, authors, journals and identifiers — never PDFs, never your reading activity.
  • Lists and tags stay in JClub. Your saved papers keep their lists and tags in the app — and if you use another reference manager, a one-tap BibTeX export of your whole library covers it.
  • Yours to revoke. Disconnect in Settings and JClub’s copy of your credentials is deleted on our side — for Zotero we also ask it to revoke the key, so you can verify it’s gone on your own Zotero keys page.

Zotero is a registered trademark of the Corporation for Digital Scholarship; Mendeley is a trademark of Elsevier. JClub is an independent app and is not affiliated with or endorsed by either.

Also built in

Everything else a researcher actually needs.

Search your whole corpus

One search across every paper JClub tracks — journals, preprints, and research news — ranked by relevance and recency.

Journals

The journals that matter to your field.

JClub tracks 103 journals across 10 fields and both preprint servers. Every journal has its own page — in the app, the list is My Journals.

General Science & Medicine13
Cytometry Part A · eLife · JAMA
Clinical Medicine10
Ann Intern Med · Blood · BMJ
Cell & Molecular Biology16
Cell · Cell Metab · Cell Rep
Immunology & Inflammation4
Immunity · J Exp Med · Nat Immunol
Neuroscience2
Nat Neurosci · Neuron
Genomics & Bioinformatics20
Bioinformatics · Brief Bioinform · Cell Genom
Microbiology & Mycology22
Applied & Environ Microbio · Biotech Adv · Cell Host Microbe
Oncology5
Cancer Cell · Cancer Discov · Cancer Res
Protected Cropping & Horticultural Science4
Acta Hortic · Hortic Res · HortScience
Plant Physiology & Photobiology7
Environ Exp Bot · Funct Plant Biol · J Exp Bot
Preprints2
bioRxiv · medRxiv — the newest work, first

All 103 journals →

Your data, plainly

Built value-first, private by default.

Guest-first

Everything works without an account. Your choices stay on your device until you decide to sign in.

No data sales, no tracking

No data brokers, no tracking across apps, no third-party ad SDKs. Sponsored items, where they appear, are clearly labelled, sold by us directly, and never influence your ranking — advertisers get no data about you.

Source of record

Every card links to the publisher or repository of record. AI summaries assist — they never replace the paper.

Questions

Fair questions, straight answers.

Which devices can I use JClub on?
JClub is out now on the App Store for iPhone, and it’s free. The Android app is with Google for review — leave your email under Get JClub and we’ll send one message the day it goes live. There’s no browser version: the reading experience is built around the swipe.
Do I need an account to use JClub?
No. JClub works as a guest from the first launch — browse the feed, read papers, and personalise by interests without signing up. Anything you do as a guest stays on your device until you choose to sign in.
What data does JClub store about me?
Two things, and nothing more than we need. Your account basics (name, email, profile photo) once you sign in, and the things you create in the app — saved papers and lists, followed journals and authors, keyword alerts, and notification preferences. To rank your feed we also keep the interests, keyword filters and alert keywords you choose and your in-app activity. As a guest, all of this lives only on your device.
Do you sell my data or run ads?
We never sell your personal data. JClub may show clearly labelled sponsored cards from organisations we work with directly — there are no third-party ad networks or trackers in the app, advertisers receive no data about you, and sponsored items never influence how your papers are ranked. We share data only with the infrastructure providers needed to run the service — never with data brokers or advertisers.
How accurate are the AI summaries?
AI summaries are a convenience generated from the paper's abstract — a fast way to scan, not a substitute for the source. They can miss nuance, so for anything that matters rely on the original paper, which every card links to.
Will I get the full text of papers?
Every card links to the paper at its source. If you claim your institution in the app, paywalled papers open through your library. Where your library is on LibKey — most Australian universities and around 1,800 libraries worldwide — JClub first checks that your library actually has the paper, so the card's full-text label means it's really there; libraries not on LibKey are supported through their own proxy addresses (39 Australian university libraries today). Either way you sign in at your library's own page: JClub never sees your credentials. Where a free open-access copy exists, the card offers that too.
Does JClub work with Zotero or Mendeley?
Yes, both. Connect your Zotero or Mendeley account once and every paper you save in JClub is automatically added to a “JClub” collection (Zotero) or folder (Mendeley) in your library — no exports, no .bib files. The sync is one-way and add-only: JClub sends bibliographic metadata (never PDFs or your reading activity), never edits or deletes anything in your library, and disconnecting deletes JClub’s access on our side (for Zotero we also ask it to revoke the key). Zotero is a registered trademark of the Corporation for Digital Scholarship and Mendeley is a trademark of Elsevier; JClub is independent and not affiliated with either.
Do you show the full paper abstract?
Every paper with an abstract leads with a concise AI summary. For open-access papers whose licence permits it, the full original abstract is one tap away; for others we show the summary and link out to the publisher. Either way, every card links back to the source of record.
Is connecting my ORCID required?
No. Connected, it lets JClub rank by similarity to your own papers, switches on ‘Your work was cited’ alerts, and shows your works, funding and peer-review record on your profile. JClub reads public profile data only.
What’s the difference between interests, keyword filters and alert keywords?
Three lists, three jobs. Interests rank your feed, keyword filters narrow your Home deck to exact matches, and alert keywords (up to five, signed in) never touch the feed at all — they send you a push when a new title or abstract matches. Each one is drawn in Tuned to you above.
What is Discover, and are the papers on this page real?
Home is the newest papers from the journals you track, ranked for you. Discover is the editorial layer over the same corpus: rails that each answer one question — For you, In your interests, Rising, Methods, New, Preprints, Open access, High impact, and Foundational papers from the last 1, 5, 10 or 20 years. The rails on this page are real papers from the app’s Methods, High impact and Foundational rails on the date shown — the same titles, journals, dates, lead authors and citation counts the app displays, metadata only. In the app you scroll each rail yourself; here they glide so you can see more of them.
How quickly do alerts arrive?
Usually within a few hours of a paper appearing online. JClub checks its index every few minutes, but PubMed, the preprint servers and OpenAlex each add their own lag, so we don’t promise minutes. Keyword alerts can be real-time, hourly or bundled daily; every kind is deduplicated, so you never get the same paper twice or a flood of old ones when you first follow someone. Author alerts fire for profiles JClub could verify.
Which notifications are on by default, and do any come by email?
Only the weekly digest is on by default and the daily digest is opt-in. On iOS the daily science brief may start as a quiet trial — delivered silently to Notification Center, no sound or banner, and iOS itself later asks whether to keep it — which you can switch off in Settings. JClub never shows a permission dialog at launch — only when you switch something on. Alerts are push notifications and an in-app inbox, not email; the only email the app itself sends is a welcome note when you first sign in.
Can I delete my account and data?
Yes. In the app, Settings → Delete account permanently removes your account and associated data, or email support@jclub.com.au at any time.

More detail in the privacy policy.

Get JClub

Be reading in one swipe.

JClub is free on the App Store, and you can start reading without an account.

Download JClub on the App Store

On Android? The app is with Google for review. Leave your email and we'll tell you the day it goes live.

One email the day it lands, nothing else.