Séverine Trannoy

62 total papers · 3.2k total citations
18 papers, 936 citations indexed

About

Séverine Trannoy is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Séverine Trannoy has authored 18 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 11 papers in Ecology, Evolution, Behavior and Systematics and 9 papers in Genetics. Recurrent topics in Séverine Trannoy's work include Neurobiology and Insect Physiology Research (14 papers), Insect and Arachnid Ecology and Behavior (9 papers) and Animal Behavior and Reproduction (7 papers). Séverine Trannoy is often cited by papers focused on Neurobiology and Insect Physiology Research (14 papers), Insect and Arachnid Ecology and Behavior (9 papers) and Animal Behavior and Reproduction (7 papers). Séverine Trannoy collaborates with scholars based in United States, France and Germany. Séverine Trannoy's co-authors include Thomas Préat, Pierre-Yves Plaçais, Guillaume Isabel, Hiromu Tanimoto, Lisa Scheunemann, Edward A. Kravitz, Igor Siwanowicz, Yoshinori Aso, Valentine Battisti and Anne‐Marie Pret and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Neuroscience.

In The Last Decade

Séverine Trannoy

18 papers receiving 933 citations

Author Peers

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

Author						Papers	Cites
Séverine Trannoy	781	368	264	185	175	18	936
Dennis Pauls	944 1.2×	401 1.1×	284 1.1×	235 1.3×	193 1.1×	25	1.0k
Mareike Selcho	840 1.1×	424 1.2×	257 1.0×	239 1.3×	112 0.6×	22	936
Sarah J. Certel	887 1.1×	476 1.3×	346 1.3×	288 1.6×	225 1.3×	23	1.1k
Tsai‐Feng Fu	769 1.0×	305 0.8×	179 0.7×	164 0.9×	278 1.6×	34	1.1k
Ronald Booker	783 1.0×	351 1.0×	338 1.3×	320 1.7×	326 1.9×	28	1.2k
Paola Cognigni	604 0.8×	253 0.7×	168 0.6×	227 1.2×	103 0.6×	14	830
Nilay Yapici	797 1.0×	519 1.4×	495 1.9×	256 1.4×	159 0.9×	18	1.1k
Dinghui Yu	755 1.0×	347 0.9×	150 0.6×	159 0.9×	272 1.6×	13	930
Ariane Ramaekers	754 1.0×	315 0.9×	181 0.7×	155 0.8×	212 1.2×	16	854
Fengqiu Diao	699 0.9×	245 0.7×	187 0.7×	133 0.7×	358 2.0×	24	963

Countries citing papers authored by Séverine Trannoy

Since Specialization

Citations

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

Fields of papers citing papers by Séverine Trannoy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Séverine Trannoy

This figure shows the co-authorship network connecting the top 25 collaborators of Séverine Trannoy. A scholar is included among the top collaborators of Séverine Trannoy 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 Séverine Trannoy. Séverine Trannoy 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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