Gaëlle Perrin

11 total papers · 803 total citations
8 papers, 630 citations indexed

About

Gaëlle Perrin is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Gaëlle Perrin has authored 8 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Gaëlle Perrin's work include Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Gaëlle Perrin is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Gaëlle Perrin collaborates with scholars based in Switzerland and France. Gaëlle Perrin's co-authors include Pierre‐Yves Dietrich, Paul R. Walker, Anne‐Lise Quiquerez, Valérie Schnüriger, Philippe Saas, Nicolas de Tribolet, Michael Hahne, Lars E. French, J Tschopp and Erwin G. Van Meir and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and Vaccine.

In The Last Decade

Gaëlle Perrin

8 papers receiving 619 citations

Author Peers

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

Author Last Decade Papers Cites
Gaëlle Perrin 389 297 227 64 54 8 630
Arianna Capucetti 437 1.1× 191 0.6× 328 1.4× 38 0.6× 77 1.4× 7 727
J. A. Gutierrez 199 0.5× 172 0.6× 264 1.2× 44 0.7× 67 1.2× 9 560
Tim Kees 385 1.0× 282 0.9× 302 1.3× 66 1.0× 114 2.1× 8 774
Kevin Hestir 445 1.1× 285 1.0× 165 0.7× 122 1.9× 49 0.9× 8 784
Samia Q. Khan 316 0.8× 208 0.7× 193 0.9× 29 0.5× 82 1.5× 11 639
Colleen S. Netherby 525 1.3× 130 0.4× 334 1.5× 66 1.0× 55 1.0× 16 726
Valeria Mollica Poeta 388 1.0× 240 0.8× 391 1.7× 36 0.6× 84 1.6× 7 746
Peter Mercado 247 0.6× 289 1.0× 227 1.0× 25 0.4× 134 2.5× 8 667
Renu Kakar 371 1.0× 284 1.0× 159 0.7× 29 0.5× 65 1.2× 9 606
Mor Zada 315 0.8× 301 1.0× 148 0.7× 45 0.7× 58 1.1× 10 621

Countries citing papers authored by Gaëlle Perrin

Since Specialization
Citations

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

Fields of papers citing papers by Gaëlle Perrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaëlle Perrin

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