Thomas Gevaert

2.1k total citations
3 papers, 10 citations indexed

About

Thomas Gevaert is a scholar working on Oncology, Urology and Epidemiology. According to data from OpenAlex, Thomas Gevaert has authored 3 papers receiving a total of 10 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Oncology, 1 paper in Urology and 1 paper in Epidemiology. Recurrent topics in Thomas Gevaert's work include Cancer Immunotherapy and Biomarkers (2 papers), CAR-T cell therapy research (2 papers) and Urinary Tract Infections Management (1 paper). Thomas Gevaert is often cited by papers focused on Cancer Immunotherapy and Biomarkers (2 papers), CAR-T cell therapy research (2 papers) and Urinary Tract Infections Management (1 paper). Thomas Gevaert collaborates with scholars based in Belgium, Australia and Italy. Thomas Gevaert's co-authors include Marina Scarpelli, Francesca Giunchi, Michelangelo Fiorentino, Roberto Salgado, Thomas Voets, Ashlee Caldwell, Małgorzata Alicja Śliwińska and Wouter Everaerts and has published in prestigious journals such as Pain, Current Drug Targets and EClinicalMedicine.

In The Last Decade

Thomas Gevaert

2 papers receiving 10 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Gevaert Belgium	2	9	4	3	3	3	3	10
Tsvetomir Ivanov Bulgaria	2	6 0.7×	2 0.5×	3 1.0×	2 0.7×	2 0.7×	7	13
Eunice Spengler Argentina	2	9 1.0×	2 0.5×	5 1.7×	2 0.7×	6 2.0×	4	15
Michael R. Schoen Germany	2	12 1.3×	5 1.3×	3 1.0×	3 1.0×	1 0.3×	4	17
Francesca Ligori Malcolm United Kingdom	3	12 1.3×	4 1.0×	2 0.7×		3 1.0×	5	16
Susan Caird Australia	3	9 1.0×	6 1.5×	4 1.3×		2 0.7×	9	19
Matthew I. Miller United States	3	8 0.9×	2 0.5×	7 2.3×	2 0.7×	2 0.7×	4	16
Sara Ramos Lopes Portugal	3	6 0.7×	3 0.8×	5 1.7×	4 1.3×	2 0.7×	11	16
L. Pererva Ukraine	3	9 1.0×	4 1.0×	7 2.3×	3 1.0×	1 0.3×	9	10
Madhusoodhana Hebbar United Kingdom	3	6 0.7×	6 1.5×	4 1.3×	2 0.7×	1 0.3×	4	13
Alex Barrett United States	2	6 0.7×	3 0.8×	3 1.0×	1 0.3×	4 1.3×	10	11

Countries citing papers authored by Thomas Gevaert

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Gevaert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Gevaert

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

All Works

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3 of 3 papers shown

1.

Caldwell, Ashlee, et al.. (2025). A catheter-associated urinary tract infection mouse model to study bladder dysfunction and pain. Pain. 166(12). 2792–2803.

2.

Salgado, Roberto & Thomas Gevaert. (2021). Quantity of Immune Cells Predict Response to Immunotherapy in Cancer. EClinicalMedicine. 41. 101170–101170. 1 indexed citations

3.

Giunchi, Francesca, Thomas Gevaert, Marina Scarpelli, & Michelangelo Fiorentino. (2020). Status of Programmed Death Ligand 1 (PD-L1) by Immunohistochemistry and Scoring Algorithms. Current Drug Targets. 21(13). 1286–1292. 9 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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