James A. Overton

5.1k total citations · 2 hit papers
32 papers, 2.5k citations indexed

About

James A. Overton is a scholar working on Molecular Biology, Artificial Intelligence and History and Philosophy of Science. According to data from OpenAlex, James A. Overton has authored 32 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Artificial Intelligence and 3 papers in History and Philosophy of Science. Recurrent topics in James A. Overton's work include Biomedical Text Mining and Ontologies (18 papers), vaccines and immunoinformatics approaches (10 papers) and Semantic Web and Ontologies (9 papers). James A. Overton is often cited by papers focused on Biomedical Text Mining and Ontologies (18 papers), vaccines and immunoinformatics approaches (10 papers) and Semantic Web and Ontologies (9 papers). James A. Overton collaborates with scholars based in United States, Canada and United Kingdom. James A. Overton's co-authors include Bjoern Peters, Randi Vita, Alessandro Sette, Swapnil Mahajan, Sandeep Kumar Dhanda, Jason Greenbaum, Deborah Hix, Julia Ponomarenko, Jason D. Clark and Joseph L. Gabbard and has published in prestigious journals such as Nucleic Acids Research, The Journal of Immunology and BMC Bioinformatics.

In The Last Decade

James A. Overton

29 papers receiving 2.4k citations

Hit Papers

align trajectories

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.

The Immune Epitope Database (IEDB): 2018 update

2018 1.3k citations Randi Vita, Swapnil Mahajan et al. Nucleic Acids Research profile →
The immune epitope database (IEDB) 3.0

2014 803 citations Randi Vita, James A. Overton et al. Nucleic Acids Research profile →

Peers

James A. Overton

MB

IMMUN

RNMI

ID

EPIDE

Filippo Castiglione Italy

Chris Bailey‐Kellogg United States

Vanessa Jurtz Denmark

Randi Vita United States

Massimo Andreatta Denmark

Drena Dobbs United States

Tim Hunkapiller United States

Rahul Kumar India

Swapnil Mahajan United States

Can Keşmir Netherlands

Filippo Castiglione Italy

James A. Overton

2.1k ×1.1

MB

966 ×1.0

IMMUN

730 ×1.2

RNMI

610 ×1.3

ID

415 ×1.4

EPIDE

Citations per year, relative to James A. Overton James A. Overton (= 1×) peers Filippo Castiglione

Countries citing papers authored by James A. Overton

Since Specialization

Citations

This map shows the geographic impact of James A. Overton'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 James A. Overton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James A. Overton more than expected).

Fields of papers citing papers by James A. Overton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Overton. 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 James A. Overton. The network helps show where James A. Overton may publish in the future.

Co-authorship network of co-authors of James A. Overton

This figure shows the co-authorship network connecting the top 25 collaborators of James A. Overton. A scholar is included among the top collaborators of James A. Overton 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 James A. Overton. James A. Overton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Cowell, Lindsay G., Scott Christley, Felix Breden, et al.. (2025). The Adaptive Immune Receptor Repertoire Knowledge Commons: An invitation to the community. Cell Systems. 16(9). 101401–101401. 1 indexed citations

2.

Hegde, Harshad, Jennifer Vendetti, Damien Goutte-Gattat, et al.. (2025). A change language for ontologies and knowledge graphs. Database. 2025. 4 indexed citations

3.

Willemsen, Lisa, Joaquin Reyna, Brendan Ha, et al.. (2024). A systems vaccinology resource to develop and test computational models of immunity. The Journal of Immunology. 212(1_Supplement). 1571_5604–1571_5604.

4.

Vita, Randi, James A. Overton, Søren Buus, et al.. (2022). Minimal Information about MHC Multimers (MIAMM). The Journal of Immunology. 208(3). 531–537. 1 indexed citations

5.

Soldevila, Ferran, James A. Overton, Brendan Ha, et al.. (2021). Computational models of Immunity – Pertussis Boost (CMI-PB): Engaging the broader scientific community to develop predictive models of Tdap booster vaccination.. The Journal of Immunology. 206(1_Supplement). 59.22–59.22. 1 indexed citations

6.

Vita, Randi, James A. Overton, Patrick Dunn, et al.. (2020). A structured model for immune exposures. Database. 2020. 1 indexed citations

7.

Jackson, Rebecca, James P. Balhoff, Eric Douglass, et al.. (2019). ROBOT: A Tool for Automating Ontology Workflows. BMC Bioinformatics. 20(1). 407–407. 89 indexed citations

8.

Overton, James A., Randi Vita, Patrick Dunn, et al.. (2019). Reporting and connecting cell type names and gating definitions through ontologies. BMC Bioinformatics. 20(S5). 182–182. 7 indexed citations

9.

Overton, James A., et al.. (2019). String of PURLs – frugal migration and maintenance of persistent identifiers. 3(1). 3–13. 3 indexed citations

10.

Balhoff, James P., et al.. (2018). Standardizing Ontology Workflows Using ROBOT.. 1 indexed citations

11.

He, Yongqun, Zuoshuang Xiang, Jie Zheng, et al.. (2018). The eXtensible ontology development (XOD) principles and tool implementation to support ontology interoperability. Journal of Biomedical Semantics. 9(1). 3–3. 47 indexed citations

12.

Vita, Randi, Swapnil Mahajan, James A. Overton, et al.. (2018). The Immune Epitope Database (IEDB): 2018 update. Nucleic Acids Research. 47(D1). D339–D343. 1349 indexed citations breakdown →

13.

Burns, Gully, Randi Vita, James A. Overton, Ward Fleri, & Bjoern Peters. (2017). Semantic Modeling for Accelerated Immune Epitope Database (IEDB) Biocuration.. 7–12.

14.

Vita, Randi, James A. Overton, Alessandro Sette, & Bjoern Peters. (2017). Better living through ontologies at the Immune Epitope Database. Database. 2017(1). 8 indexed citations

15.

Gürcan, Metin N., John Tomaszewski, James A. Overton, et al.. (2016). Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem. Journal of Biomedical Informatics. 66. 129–135. 14 indexed citations

16.

Vita, Randi, James A. Overton, John Sidney, et al.. (2016). An ontology for major histocompatibility restriction. Journal of Biomedical Semantics. 7(1). 1–1. 38 indexed citations

17.

Zillner, Sonja, James A. Overton, Bernhard Bauer, et al.. (2015). Semantic representation of reported measurements in radiology. BMC Medical Informatics and Decision Making. 16(1). 5–5. 4 indexed citations

18.

Vita, Randi, James A. Overton, Jason Greenbaum, et al.. (2014). The immune epitope database (IEDB) 3.0. Nucleic Acids Research. 43(D1). D405–D412. 803 indexed citations breakdown →

19.

Overton, James A.. (2012). Explanation in Science. Scholarship@Western (Western University). 33(9). 1159–64. 3 indexed citations

20.

Overton, James A.. (2011). Scientific Explanation and Computation.. 41–50. 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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