Robert Leaman

6.7k total citations · 2 hit papers
46 papers, 3.8k citations indexed

About

Robert Leaman is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Robert Leaman has authored 46 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 35 papers in Artificial Intelligence and 4 papers in Genetics. Recurrent topics in Robert Leaman's work include Biomedical Text Mining and Ontologies (39 papers), Topic Modeling (24 papers) and Semantic Web and Ontologies (12 papers). Robert Leaman is often cited by papers focused on Biomedical Text Mining and Ontologies (39 papers), Topic Modeling (24 papers) and Semantic Web and Ontologies (12 papers). Robert Leaman collaborates with scholars based in United States, Germany and China. Robert Leaman's co-authors include Zhiyong Lu, Rezarta Islamaj, Chih-Hsuan Wei, Graciela Gonzalez‐Hernandez, Ritu Khare, Alexis Allot, Zhiyong Lu, Carolyn Mattingly, Thomas C. Wiegers and Jiao Li and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Bioinformatics.

In The Last Decade

Robert Leaman

45 papers receiving 3.6k citations

Hit Papers

NCBI disease corpus: A resource for disease name recognit... 2014 2026 2018 2022 2014 2016 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. NCBI disease corpus: A resource for disease name recognition and concept normalization
    2014 522 citations Rezarta Islamaj, Robert Leaman et al. Journal of Biomedical Informatics profile →
  2. BioCreative V CDR task corpus: a resource for chemical disease relation extraction
    2016 506 citations Chih-Hsuan Wei, Robert Leaman et al. Database profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert Leaman United States 25 2.8k 2.6k 345 185 143 46 3.8k
Alan R. Aronson United States 28 3.8k 1.3× 3.6k 1.3× 240 0.7× 225 1.2× 103 0.7× 96 4.8k
Thomas C. Rindflesch United States 36 3.4k 1.2× 2.9k 1.1× 488 1.4× 191 1.0× 133 0.9× 127 4.2k
Marcelo Fiszman United States 27 1.9k 0.7× 1.7k 0.6× 316 0.9× 125 0.7× 60 0.4× 72 2.6k
Olivier Bodenreider United States 34 5.4k 1.9× 4.4k 1.7× 533 1.5× 510 2.8× 192 1.3× 216 7.0k
Donghyeon Kim South Korea 8 1.7k 0.6× 3.0k 1.1× 248 0.7× 85 0.5× 44 0.3× 24 4.0k
Chih-Hsuan Wei United States 26 2.4k 0.8× 1.8k 0.7× 258 0.7× 324 1.8× 19 0.1× 60 3.0k
Wonjin Yoon South Korea 6 1.6k 0.6× 2.9k 1.1× 220 0.6× 65 0.4× 44 0.3× 13 3.8k
Halil Kilicoglu United States 23 1.4k 0.5× 1.3k 0.5× 263 0.8× 84 0.5× 39 0.3× 90 1.9k
Erik M. van Mulligen Netherlands 29 1.2k 0.4× 986 0.4× 254 0.7× 72 0.4× 109 0.8× 107 1.9k
Buzhou Tang China 30 1.2k 0.4× 2.0k 0.7× 267 0.8× 24 0.1× 48 0.3× 127 2.7k

Countries citing papers authored by Robert Leaman

Since Specialization
Citations

This map shows the geographic impact of Robert Leaman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robert Leaman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Leaman more than expected).

Fields of papers citing papers by Robert Leaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Leaman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robert Leaman. The network helps show where Robert Leaman may publish in the future.

Co-authorship network of co-authors of Robert Leaman

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Leaman. A scholar is included among the top collaborators of Robert Leaman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert Leaman. Robert Leaman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jin, Qiao, Chih-Hsuan Wei, Shubo Tian, et al.. (2025). GeneAgent: self-verification language agent for gene-set analysis using domain databases. Nature Methods. 22(8). 1677–1685. 9 indexed citations
2.
Wei, Chih-Hsuan, Alexis Allot, Po‐Ting Lai, et al.. (2024). PubTator 3.0: an AI-powered literature resource for unlocking biomedical knowledge. Nucleic Acids Research. 52(W1). W540–W546. 45 indexed citations
3.
Lai, Po‐Ting, Elisabeth Coudert, Lucila Aimo, et al.. (2024). EnzChemRED, a rich enzyme chemistry relation extraction dataset. Scientific Data. 11(1). 982–982. 3 indexed citations
4.
Luo, Ling, Chih-Hsuan Wei, Po‐Ting Lai, et al.. (2023). AIONER: all-in-one scheme-based biomedical named entity recognition using deep learning. Bioinformatics. 39(5). 21 indexed citations
5.
Jin, Qiao, Robert Leaman, & Zhiyong Lu. (2023). Retrieve, Summarize, and Verify: How Will ChatGPT Affect Information Seeking from the Medical Literature?. Journal of the American Society of Nephrology. 34(8). 1302–1304. 41 indexed citations
6.
Chen, Qingyu, Alexis Allot, Robert Leaman, et al.. (2022). LitCovid in 2022: an information resource for the COVID-19 literature. Nucleic Acids Research. 51(D1). D1512–D1518. 12 indexed citations
7.
Islamaj, Rezarta, Robert Leaman, David S. Cissel, et al.. (2022). NLM-Chem-BC7: manually annotated full-text resources for chemical entity annotation and indexing in biomedical articles. Database. 2022. 5 indexed citations
8.
Leaman, Robert, Rezarta Islamaj, Alexis Allot, et al.. (2022). Comprehensively identifying Long Covid articles with human-in-the-loop machine learning. Patterns. 4(1). 100659–100659. 3 indexed citations
9.
Islamaj, Rezarta, Robert Leaman, Sun Kim, et al.. (2021). NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature. Scientific Data. 8(1). 91–91. 39 indexed citations
10.
Leaman, Robert, Chih-Hsuan Wei, Alexis Allot, & Zhiyong Lu. (2020). Ten tips for a text-mining-ready article: How to improve automated discoverability and interpretability. PLoS Biology. 18(6). e3000716–e3000716. 9 indexed citations
11.
Khare, Ritu, Benjamin M. Good, Robert Leaman, Andrew I. Su, & Zhiyong Lu. (2015). Crowdsourcing in biomedicine: challenges and opportunities. Briefings in Bioinformatics. 17(1). 23–32. 68 indexed citations
12.
Wei, Chih-Hsuan, Robert Leaman, & Zhiyong Lu. (2014). SimConcept. PubMed. 2014. 138–146. 12 indexed citations
13.
Islamaj, Rezarta, Robert Leaman, & Zhiyong Lu. (2014). NCBI disease corpus: A resource for disease name recognition and concept normalization. Journal of Biomedical Informatics. 47. 1–10. 522 indexed citations breakdown →
14.
Leaman, Robert, Benjamin M. Good, Andrew I. Su, & Zhiyong Lu. (2014). CROWDSOURCING AND MINING CROWD DATA. PubMed. 267–269. 4 indexed citations
15.
Hakenberg, Jörg, D. A. Voronov, Shanshan Liang, et al.. (2012). A SNPshot of PubMed to associate genetic variants with drugs, diseases, and adverse reactions. Journal of Biomedical Informatics. 45(5). 842–850. 35 indexed citations
16.
Hakenberg, Jörg, Robert Leaman, Nguyen Vo, et al.. (2010). Efficient Extraction of Protein-Protein Interactions from Full-Text Articles. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 7(3). 481–494. 30 indexed citations
17.
Leaman, Robert, et al.. (2010). Towards Internet-Age Pharmacovigilance: Extracting Adverse Drug Reactions from User Posts in Health-Related Social Networks. Meeting of the Association for Computational Linguistics. 117–125. 183 indexed citations
18.
Morgan, Alexander A., Zhiyong Lu, Xinglong Wang, et al.. (2008). Overview of BioCreative II gene normalization. Genome biology. 9(S2). S3–S3. 241 indexed citations
19.
Tari, Luis, et al.. (2007). Passage Relevancy Through Semantic Relatedness.. Text REtrieval Conference. 5 indexed citations
20.
Tari, Luis, et al.. (2006). ASU at TREC 2006 genomics track. Text REtrieval Conference. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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