🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Robert Leaman

National Institutes of Health

ORCID: 0000-0003-3296-5766

Also affiliated with United States National Library of Medicine, National Institute of Nursing Research

Biochemistry, Genetics and Molecular BiologyComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 1%percentile
6.8Author DataRank

Indexed papers

5in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 5 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

PubTator 3.0: an AI-powered literature resource for unlocking biomedical knowledge

Nucleic Acids Research(2024)10.1093/nar/gkae235
Top 6%
3.8DataRank
Top 6%167 citations

Alexis Allot, Po‐Ting Lai, Robert Leaman, Shubo Tian, Ling Luo +5 more

Papers

Driven by 23 papers — median percentile 78. Top paper: “PubTator 3.0: an AI-powered literature resource for unlocking biomedical knowledge”.

PubTator 3.0: an AI-powered literature resource for unlocking biomedical knowledge

Nucleic Acids Research(2024)10.1093/nar/gkae235
Top 6%
3.8DataRank
Top 6%167 citations

Alexis Allot, Po‐Ting Lai, Robert Leaman, Shubo Tian, Ling Luo +5 more

PubMed and beyond: biomedical literature search in the age of artificial intelligence

EBioMedicine(2024)10.1016/j.ebiom.2024.104988
N/A
2.8DataRank · unranked
119 citations

Robert Leaman, ZHIYONG LU, Qiao Jin

Artificial Intelligence in Action: Addressing the COVID-19 Pandemic with Natural Language Processing

Annual Review of Biomedical Data Science(2021)10.1146/annurev-biodatasci-021821-061045
N/A
2.6DataRank · unranked
65 citations

Robert Leaman, Alexis Allot, Ling Luo, Chih-Hsuan Wei, Shankai Yan +2 more

EnzChemRED, a rich enzyme chemistry relation extraction dataset

Scientific Data(2024)10.1038/s41597-024-03835-7
Top 21%
0.945DataRank
Top 21%11 citations

Elisabeth Coudert, Lucila Aimo, Kristian B. Axelsen, Lionel Breuza, Edouard de Castro +14 more

LitCovid in 2022: an information resource for the COVID-19 literature

Nucleic Acids Research(2022)10.1093/nar/gkac1005
Top 22%
0.909DataRank
Top 22%31 citations

Alexis Allot, Robert Leaman, Chih-Hsuan Wei, Elaheh Aghaarabi, John J. Guerrerio +3 more

Archive of PubTator 3.0 source code and trained models

PubMed(2024)10.48550/arxiv.2401.11048
Top 32%
0.613DataRank
Top 32%3 citations

Alexis Allot, Po‐Ting Lai, Robert Leaman, Shubo Tian, Ling Luo +5 more

GeneAgent: self-verification language agent for gene-set analysis using domain databases

Nature Methods(2025)10.1038/s41592-025-02748-6
N/A
0.581DataRank · unranked
47 citations

Qiao Jin, Chih-Hsuan Wei, Shubo Tian, Po‐Ting Lai, Qingqing Zhu +5 more

A Comprehensive Dictionary and Term Variation Analysis for COVID-19 and SARS-CoV-2

(2020)10.18653/v1/2020.nlpcovid19-2.32
Top 35%
0.559DataRank
Top 35%7 citations

ZHIYONG LU, Robert Leaman

Enhancing biomedical relation extraction with directionality

Bioinformatics(2025)10.1093/bioinformatics/btaf226
N/A
0.309DataRank · unranked
5 citations

Chih-Hsuan Wei, Shubo Tian, Robert Leaman, ZHIYONG LU, Po‐Ting Lai

TEXT AND DATA MINING FOR BIOMEDICAL DISCOVERY- SESSION INTRODUCTION

Biocomputing 2014(2013)10.1142/9789814583220_0030
N/A
0.241DataRank · unranked
4 citations

Kevin Bretonnel Cohen, Casey S. Greene, Maricel G. Kann, Robert Leaman, Nigam Shah +4 more

PSB 2019 Workshop on Text Mining and Visualization for Precision Medicine

Biocomputing 2019(2018)10.1142/9789813279827_0042
N/A
0.104DataRank · unranked
1 citations

ZHIYONG LU, Robert Leaman, Davy Weissenbacher, Mary Regina Boland, Yong Chen +14 more

TEXT AND DATA MINING FOR BIOMEDICAL DISCOVERY

Biocomputing 2013(2012)10.1142/9789814447973_0036
N/A
0.104DataRank · unranked
1 citations

Kevin Bretonnel Cohen, Casey S. Greene, UDO HAHN, Maricel G. Kann, Robert Leaman +4 more

FAIR-SMART expands access to supplementary materials for research transparency

PLoS Biology(2025)10.1371/journal.pbio.3003428
N/A
0DataRank · unranked
0 citations

Robert Leaman, Po-Ting Lai, D. C. Comeau, Shubo Tian, ZHIYONG LU +1 more

Ten tips for a text-mining-ready article: How to improve automated discoverability and interpretability

PLoS Biology(2020)10.1371/journal.pbio.3000716
N/A
0DataRank · unranked
13 citations

Chih-Hsuan Wei, Alexis Allot, ZHIYONG LU, Robert Leaman

NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature

Scientific Data(2021)10.1038/s41597-021-00875-1
N/A
0DataRank · unranked
70 citations

Robert Leaman, Sun Kim, Dongseop Kwon, Chih-Hsuan Wei, Donald C. Comeau +14 more

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations

Database(2022)10.1093/database/baac069
N/A
0DataRank · unranked
41 citations

Alexis Allot, Robert Leaman, Rezarta Islamaj, Jingcheng Du, Fang Li +34 more

Comprehensively identifying Long Covid articles with human-in-the-loop machine learning

Patterns(2022)10.1016/j.patter.2022.100659
N/A
0DataRank · unranked
5 citations

Rezarta Islamaj, Alexis Allot, Qingyu Chen, W. John Wilbur, ZHIYONG LU +1 more

AIONER: all-in-one scheme-based biomedical named entity recognition using deep learning

Bioinformatics(2023)10.1093/bioinformatics/btad310
N/A
0DataRank · unranked
70 citations

Chih-Hsuan Wei, Po‐Ting Lai, Robert Leaman, Qingyu Chen, ZHIYONG LU +1 more

Chemical identification and indexing in full-text articles: an overview of the NLM-Chem track at BioCreative VII

Database(2023)10.1093/database/baad005
N/A
0DataRank · unranked
15 citations

Rezarta Islamaj, Virginia Adams, Mohammed Alliheedi, João Rafael Almeida, Rui Antunes +16 more

PubMed and Beyond: Biomedical Literature Search in the Age of Artificial Intelligence

arXiv (Cornell University)(2023)10.48550/arxiv.2307.09683
N/A
0DataRank · unranked
4 citations

Robert Leaman, ZHIYONG LU, Qiao Jin

Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine

arXiv (Cornell University)(2024)10.48550/arxiv.2411.14487
N/A
0DataRank · unranked
3 citations

Qiao Jin, Robert Leaman, Xiaoyu Liu, Guangzhi Xiong, Maame Sarfo-Gyamfi +13 more

Entry-level guide to the use of large language models for medical research

PubMed(2024)10.48550/arxiv.2410.18856
N/A
0DataRank · unranked
2 citations

Nicholas Wan, Robert Leaman, Shubo Tian, Zhizheng Wang, Yifan Yang +18 more

Enhancing Biomedical Relation Extraction with Directionality

arXiv (Cornell University)(2025)10.48550/arxiv.2501.14079
N/A
0DataRank · unranked
0 citations

Chih-Hsuan Wei, Shubo Tian, Robert Leaman, ZHIYONG LU, Po‐Ting Lai