---
title: "ISMB (A): papers and universities"
description: "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)."
url: https://scholar4ai.com/proceedings/ismb
markdown_url: https://scholar4ai.com/proceedings/ismb.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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). (as of 2026-11-02)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-02T12:20:52+09:00
window: 2026-10-04 to 2026-11-02
source: OpenAlex (CC0)
---

# 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.

All conferences: https://scholar4ai.com/proceedings.md

## 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](https://openalex.org/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](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 6 |
| 7 | [Seoul National University](https://scholar4ai.com/institutions/seoul-national-university.md) | 6 |
| 8 | [Central South University](https://scholar4ai.com/institutions/central-south-university.md) | 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](https://scholar4ai.com/keywords/large-language-models.md) | 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](https://doi.org/10.1093/bioinformatics/btae238) | 2024-04-22 | Minbyul Jeong, Jiwoong Sohn, Mujeen Sung et al. |
| 2 | 55 | [DNABERT-S: pioneering species differentiation with species-aware DNA embeddings](https://doi.org/10.1093/bioinformatics/btaf188) | 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](https://doi.org/10.1093/bioinformatics/btaf240) | 2025-07-01 | Zahra Zare Jousheghani, Noor Singh, Rob Patro |
| 4 | 32 | [Automated assignment grading with large language models: insights from a bioinformatics course](https://doi.org/10.1093/bioinformatics/btaf196) | 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](https://doi.org/10.1093/bioinformatics/btae230) | 2024-04-12 | Xiangru Tang, Bill Qian, Rick Gao et al. |
| 6 | 30 | [RiboDiffusion: tertiary structure-based RNA inverse folding with generative diffusion models](https://doi.org/10.1093/bioinformatics/btae259) | 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](https://doi.org/10.1093/bioinformatics/btae264) | 2024-06-28 | Mohammad Al Olaimat, Serdar Bozdag, Alzheimer’s Disease Neuroimaging Initiative |
| 8 | 24 | [Accurate PROTAC-targeted degradation prediction with DegradeMaster](https://doi.org/10.1093/bioinformatics/btaf191) | 2025-04-26 | Jie Liu, Michael J. Roy, Luke Isbel et al. |
| 9 | 23 | [Sigmoni: classification of nanopore signal with a compressed pangenome index](https://doi.org/10.1093/bioinformatics/btae213) | 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](https://doi.org/10.1093/bioinformatics/btae260) | 2024-05-09 | Xiangru Tang, Andrew Tran, Jeffrey Too Chuan Tan et al. |

## 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).