Simon Besson‐Girard

20 total papers · 1.1k total citations
8 papers, 473 citations indexed

About

Simon Besson‐Girard is a scholar working on Immunology, Neurology and Molecular Biology. According to data from OpenAlex, Simon Besson‐Girard has authored 8 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Neurology and 3 papers in Molecular Biology. Recurrent topics in Simon Besson‐Girard's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Immune cells in cancer (5 papers) and Single-cell and spatial transcriptomics (3 papers). Simon Besson‐Girard is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Immune cells in cancer (5 papers) and Single-cell and spatial transcriptomics (3 papers). Simon Besson‐Girard collaborates with scholars based in Germany, France and Slovakia. Simon Besson‐Girard's co-authors include Özgün Gökçe, Lu Liu, Mikael Simons, Martina Schifferer, Ludovico Cantuti‐Castelvetri, Tuğberk Kaya, Hao Ji, Garyfallia Gouna, Shima Safaiyan and Moritz J. Rossner and has published in prestigious journals such as Nature Communications, Neuron and Nature Neuroscience.

In The Last Decade

Simon Besson‐Girard

8 papers receiving 471 citations

Hit Papers

White matter aging drives... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Simon Besson‐Girard 362 213 125 90 69 8 473
Wiebke Mildenberger 334 0.9× 234 1.1× 119 1.0× 76 0.8× 39 0.6× 5 529
Paula R. Sola 419 1.2× 240 1.1× 129 1.0× 59 0.7× 135 2.0× 8 541
Jessica M. Crain 330 0.9× 151 0.7× 75 0.6× 58 0.6× 68 1.0× 6 512
Garyfallia Gouna 312 0.9× 197 0.9× 115 0.9× 80 0.9× 77 1.1× 6 451
Dylan H. Goldman 277 0.8× 208 1.0× 96 0.8× 57 0.6× 80 1.2× 5 476
Philippa Richardson 447 1.2× 270 1.3× 77 0.6× 93 1.0× 98 1.4× 4 527
Philipp Jordan 364 1.0× 145 0.7× 99 0.8× 95 1.1× 76 1.1× 5 508
Michael Frangieh 325 0.9× 220 1.0× 147 1.2× 40 0.4× 162 2.3× 7 526
Rachel D. Kim 364 1.0× 129 0.6× 205 1.6× 78 0.9× 118 1.7× 8 552
Huimin Yue 305 0.8× 112 0.5× 86 0.7× 63 0.7× 76 1.1× 8 475

Countries citing papers authored by Simon Besson‐Girard

Since Specialization
Citations

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

Fields of papers citing papers by Simon Besson‐Girard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Besson‐Girard. 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 Simon Besson‐Girard. The network helps show where Simon Besson‐Girard may publish in the future.

Co-authorship network of co-authors of Simon Besson‐Girard

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Besson‐Girard. A scholar is included among the top collaborators of Simon Besson‐Girard 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 Simon Besson‐Girard. Simon Besson‐Girard 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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