ISMB: Intelligent Systems in Molecular Biology — papers and institutions, 2024–2026

Papers of ISMB, Intelligent Systems in Molecular Biology (CORE rank A; field: Applied computing), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02. Also as Markdown.

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Key findings#

ISMB (Intelligent Systems in Molecular Biology) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 203 of its papers from 2024–2026 (63 in 2024, 71 in 2025, 69 in 2026).
By the countries of the authors' institutions, the most papers come from the United States (115), China (32) and Germany (22).
The institutions with the most papers are Carnegie Mellon University (13), International Society for Computational Biology (12) and SIB Swiss Institute of Bioinformatics (11).
Its most-cited paper of these years is “Improving medical reasoning through retrieval and self-reflection with retrieval-augmented large language models” (2024), with 133 citations.

Papers per year#

ISMB papers per publication year in OpenAlex (–: not in OpenAlex yet)
Year	Papers	With affiliations
2024	63	63
2025	71	71
2026	69	69

Sources#

Where OpenAlex lists the papers
OpenAlex source	Which papers
S52395412	Conference-linked journal (issue Supplement_1)

Who publishes there#

Institutions with the most ISMB papers, 2024–2026
#	Institution	Papers
1	Carnegie Mellon University	13
2	International Society for Computational Biology	12
3	SIB Swiss Institute of Bioinformatics	11
4	Princeton University	9
5	ETH Zurich	8
6	Centre National de la Recherche Scientifique	6
7	Seoul National University	6
8	Central South University	6
9	University of California San Diego	6
10	Technical University of Munich	6

Countries with the most ISMB papers, 2024–2026
#	Country	Papers
1	United States	115
2	China	32
3	Germany	22
4	South Korea	14
5	Switzerland	12
6	France	9
7	United Kingdom	8
8	Canada	6
9	Finland	6
10	Hong Kong	6

Keywords with the most ISMB papers, 2024–2026
#	Keyword	Papers
1	spatial transcriptomics	17
2	single-cell RNA sequencing	12
3	large language models	10
4	computational biology	9
5	drug discovery	9
6	International Society for Computational Biology	7
7	interpretability	7
8	protein language models	7
9	RNA secondary structure	4
10	attention mechanism	4

Most-cited papers#

Most-cited ISMB papers of 2024–2026 (citations counted by OpenAlex)
#	Citations	Title	Published	Authors
1	133	Improving medical reasoning through retrieval and self-reflection with retrieval-augmented large language models	2024-04-22	Minbyul Jeong, Jiwoong Sohn, Mujeen Sung et al.
2	55	DNABERT-S: pioneering species differentiation with species-aware DNA embeddings	2025-04-26	Zhihan Zhou, Weimin Wu, Harrison Ho et al.
3	45	Oarfish: enhanced probabilistic modeling leads to improved accuracy in long read transcriptome quantification	2025-07-01	Zahra Zare Jousheghani, Noor Singh, Rob Patro
4	32	Automated assignment grading with large language models: insights from a bioinformatics course	2025-04-24	Pavlin G. Poličar, Martin Špendl, Tomaž Curk et al.
5	30	BioCoder: a benchmark for bioinformatics code generation with large language models	2024-04-12	Xiangru Tang, Bill Qian, Rick Gao et al.
6	30	RiboDiffusion: tertiary structure-based RNA inverse folding with generative diffusion models	2024-04-12	Han Huang, Ziqian Lin, Dongchen He et al.
7	30	TA-RNN: an attention-based time-aware recurrent neural network architecture for electronic health records	2024-06-28	Mohammad Al Olaimat, Serdar Bozdag, Alzheimer’s Disease Neuroimaging Initiative
8	24	Accurate PROTAC-targeted degradation prediction with DegradeMaster	2025-04-26	Jie Liu, Michael J. Roy, Luke Isbel et al.
9	23	Sigmoni: classification of nanopore signal with a compressed pangenome index	2024-06-28	Vikram S. Shivakumar, Omar Y. Ahmed, Sam Kovaka et al.
10	23	MolLM : a unified language model for integrating biomedical text with 2D and 3D molecular representations	2024-05-09	Xiangru Tang, Andrew Tran, Jeffrey Too Chuan Tan et al.

Conferences in the same field#

MICCAI · AIED · ICWSM · SIGSPATIAL · LAK · ISLPED

Cite this page

Scholar4AI. (2026). ISMB: Intelligent Systems in Molecular Biology — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/ismb

@misc{scholar4ai-proceedings-ismb,
  author = {{Scholar4AI}},
  title = {ISMB: Intelligent Systems in Molecular Biology — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/ismb}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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