Tom Gillespie

1.0k total citations
10 papers, 71 citations indexed

About

Tom Gillespie is a scholar working on Molecular Biology, Biophysics and Information Systems and Management. According to data from OpenAlex, Tom Gillespie has authored 10 papers receiving a total of 71 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Biophysics and 3 papers in Information Systems and Management. Recurrent topics in Tom Gillespie's work include Biomedical Text Mining and Ontologies (9 papers), Cell Image Analysis Techniques (4 papers) and Scientific Computing and Data Management (3 papers). Tom Gillespie is often cited by papers focused on Biomedical Text Mining and Ontologies (9 papers), Cell Image Analysis Techniques (4 papers) and Scientific Computing and Data Management (3 papers). Tom Gillespie collaborates with scholars based in United States, New Zealand and Switzerland. Tom Gillespie's co-authors include Maryann E. Martone, Amos Bairoch, Amanda Capes‐Davis, İbrahim Burak Özyurt, Anita Bandrowski, Jeffrey S. Grethe, Shreejoy J. Tripathy, Sean Hill, Monique C. Surles-Zeigler and Bernard de Bono and has published in prestigious journals such as Diabetes, eLife and Frontiers in Physiology.

In The Last Decade

Tom Gillespie

10 papers receiving 71 citations

Peers

Tom Gillespie

MB

IS

ISM

BIOPH

AI

Karen Kennedy United Kingdom

Matthew Roberts United Kingdom

Ahmad Zyoud United Kingdom

Ashley Xavier United Kingdom

Sven Fillinger Germany

Sarubini Kananathan United Kingdom

Melissa Harrison United Kingdom

Erik Gafni United States

Varuni Sarwal United States

Florent Yvon United Kingdom

Karen Kennedy United Kingdom

Tom Gillespie

63 ×2.1

MB

14 ×0.8

IS

15 ×1.0

ISM

5 ×0.4

BIOPH

11 ×1.1

AI

Citations per year, relative to Tom Gillespie Tom Gillespie (= 1×) peers Karen Kennedy

Countries citing papers authored by Tom Gillespie

Since Specialization

Citations

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

Fields of papers citing papers by Tom Gillespie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Gillespie. 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 Tom Gillespie. The network helps show where Tom Gillespie may publish in the future.

Co-authorship network of co-authors of Tom Gillespie

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

All Works

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10 of 10 papers shown

1.

Gillespie, Tom, Monique C. Surles-Zeigler, Susan Tappan, et al.. (2025). Developing a multiscale neural connectivity knowledgebase of the autonomic nervous system. Frontiers in Neuroinformatics. 19. 1541184–1541184. 1 indexed citations

2.

Gillespie, Tom, Lyuba Zehl, Timo Dickscheid, et al.. (2023). AtOM, an ontology model to standardize use of brain atlases in tools, workflows, and data infrastructures. Scientific Data. 10(1). 486–486. 7 indexed citations

3.

Tan, Shawn Zheng Kai, Brian D. Aevermann, Tom Gillespie, et al.. (2023). Brain Data Standards - A method for building data-driven cell-type ontologies. Scientific Data. 10(1). 50–50. 7 indexed citations

4.

Gillespie, Tom, et al.. (2022). The Neuron Phenotype Ontology: A FAIR Approach to Proposing and Classifying Neuronal Types. Neuroinformatics. 20(3). 793–809. 9 indexed citations

5.

Bono, Bernard de, Tom Gillespie, Monique C. Surles-Zeigler, et al.. (2022). Representing Normal and Abnormal Physiology as Routes of Flow in ApiNATOMY. Frontiers in Physiology. 13. 795303–795303. 7 indexed citations

6.

Surles-Zeigler, Monique C., Troy Sincomb, Tom Gillespie, et al.. (2022). Extending and using anatomical vocabularies in the stimulating peripheral activity to relieve conditions project. Frontiers in Neuroinformatics. 16. 819198–819198. 7 indexed citations

7.

Capes‐Davis, Amanda, Maryann E. Martone, Amos Bairoch, et al.. (2019). Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines. eLife. 8. 25 indexed citations

8.

Hsu, Chun‐Nan, Anita Bandrowski, Tom Gillespie, et al.. (2019). Comparing the Use of Research Resource Identifiers and Natural Language Processing for Citation of Databases, Software, and Other Digital Artifacts. Computing in Science & Engineering. 22(2). 22–32. 5 indexed citations

9.

Bandrowski, Anita, James Go, İbrahim Burak Özyurt, et al.. (2018). Discover and Track Obesity Relevant Research Resources Using dkNET (NIDDK Information Network). Diabetes. 67(Supplement_1). 1 indexed citations

10.

Gillespie, Tom, et al.. (2009). Modelling and testing of an in-house prototype twin-tube semi-active damper. International Journal of Heavy Vehicle Systems. 16(4). 431–431. 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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