Jean‐Stéphane Gatot

42 total papers · 1.3k total citations
16 papers, 704 citations indexed

About

Jean‐Stéphane Gatot is a scholar working on Immunology, Agronomy and Crop Science and Virology. According to data from OpenAlex, Jean‐Stéphane Gatot has authored 16 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 5 papers in Agronomy and Crop Science and 4 papers in Virology. Recurrent topics in Jean‐Stéphane Gatot's work include T-cell and Retrovirus Studies (6 papers), Animal Disease Management and Epidemiology (5 papers) and Vector-Borne Animal Diseases (4 papers). Jean‐Stéphane Gatot is often cited by papers focused on T-cell and Retrovirus Studies (6 papers), Animal Disease Management and Epidemiology (5 papers) and Vector-Borne Animal Diseases (4 papers). Jean‐Stéphane Gatot collaborates with scholars based in Belgium, France and Russia. Jean‐Stéphane Gatot's co-authors include Tieu‐Lan Chau, Alain Chariot, Jacques Piette, Romain Gioia, Pierre Kerkhofs, Daniel Portetelle, Luc Willems, Isabelle Carpentier, Jean-Paul Chapelle and Rudi Beyaert and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Oncogene.

In The Last Decade

Jean‐Stéphane Gatot

16 papers receiving 692 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jean‐Stéphane Gatot 467 272 165 132 120 16 704
E Jaworski 280 0.6× 447 1.6× 107 0.6× 124 0.9× 123 1.0× 22 724
Venkat R. K. Yedavalli 332 0.7× 357 1.3× 100 0.6× 95 0.7× 349 2.9× 25 857
S. Mehdi Belgnaoui 552 1.2× 477 1.8× 92 0.6× 83 0.6× 38 0.3× 11 894
Sandrine Alais 274 0.6× 441 1.6× 169 1.0× 153 1.2× 41 0.3× 25 716
Mohamed Nejmeddine 365 0.8× 155 0.6× 221 1.3× 191 1.4× 43 0.4× 23 724
Noreen Sheehy 394 0.8× 173 0.6× 307 1.9× 287 2.2× 143 1.2× 33 675
Naomi Taylor 507 1.1× 273 1.0× 197 1.2× 182 1.4× 22 0.2× 15 825
Sandesh Subramanya 179 0.4× 474 1.7× 58 0.4× 48 0.4× 104 0.9× 19 818
Thi Lien-Anh Nguyên 405 0.9× 340 1.3× 97 0.6× 90 0.7× 31 0.3× 23 864
Maria Artesi 235 0.5× 222 0.8× 182 1.1× 137 1.0× 18 0.1× 25 683

Countries citing papers authored by Jean‐Stéphane Gatot

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Stéphane Gatot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Stéphane Gatot. 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 Jean‐Stéphane Gatot. The network helps show where Jean‐Stéphane Gatot may publish in the future.

Co-authorship network of co-authors of Jean‐Stéphane Gatot

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

All Works

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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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