Simon Besson‐Girard

1.1k total citations · 1 hit paper
8 papers, 490 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 490 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 Immune cells in cancer (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Single-cell and spatial transcriptomics (3 papers). Simon Besson‐Girard is often cited by papers focused on Immune cells in cancer (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Single-cell and spatial transcriptomics (3 papers). Simon Besson‐Girard collaborates with scholars based in Germany, Slovakia and France. Simon Besson‐Girard's co-authors include Özgün Gökçe, Lu Liu, Mikael Simons, Martina Schifferer, Ludovico Cantuti‐Castelvetri, Tuğberk Kaya, Hao Ji, Garyfallia Gouna, Xianyuan Xiang and Dirk Fitzner and has published in prestigious journals such as Nature Communications, Neuron and Nature Neuroscience.

In The Last Decade

Simon Besson‐Girard

8 papers receiving 488 citations

Hit Papers

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

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Besson‐Girard Germany 7 375 215 127 91 73 8 490
Guanglei Hu China 9 347 0.9× 213 1.0× 157 1.2× 87 1.0× 56 0.8× 21 600
Philippa Richardson United Kingdom 3 451 1.2× 271 1.3× 77 0.6× 93 1.0× 99 1.4× 4 529
Paula R. Sola Brazil 5 423 1.1× 240 1.1× 130 1.0× 59 0.6× 136 1.9× 8 545
Thais Fernanda de Almeida Galatro Brazil 7 454 1.2× 281 1.3× 158 1.2× 66 0.7× 143 2.0× 8 634
Elisa Faggiani Italy 5 242 0.6× 139 0.6× 86 0.7× 50 0.5× 77 1.1× 7 392
Tanja Zöller Germany 8 271 0.7× 180 0.8× 106 0.8× 44 0.5× 42 0.6× 8 385
Jelkje J. de Boer-Bergsma Netherlands 4 325 0.9× 186 0.9× 68 0.5× 104 1.1× 33 0.5× 4 424
Suzanne S. M. Miedema Netherlands 8 302 0.8× 139 0.6× 162 1.3× 70 0.8× 133 1.8× 12 535
Jillian C. Nissen United States 12 277 0.7× 180 0.8× 139 1.1× 52 0.6× 62 0.8× 16 497
Giedre Miskinyte Sweden 5 255 0.7× 135 0.6× 216 1.7× 90 1.0× 41 0.6× 5 492

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

8 of 8 papers shown
1.
Ji, Hao, Simon Besson‐Girard, Peter Androvic, et al.. (2023). High-Resolution RNA Sequencing from PFA-Fixed Microscopy Sections. Methods in molecular biology. 2616. 205–212. 1 indexed citations
2.
Androvic, Peter, Martina Schifferer, Ludovico Cantuti‐Castelvetri, et al.. (2023). Spatial Transcriptomics-correlated Electron Microscopy maps transcriptional and ultrastructural responses to brain injury. Nature Communications. 14(1). 4115–4115. 34 indexed citations
3.
Filser, Severin, Dániel Péter Varga, Simon Besson‐Girard, et al.. (2023). Continued dysfunction of capillary pericytes promotes no-reflow after experimental stroke in vivo. Brain. 147(3). 1057–1074. 18 indexed citations
4.
Besson‐Girard, Simon, Hao Ji, Heidi Noels, et al.. (2023). Pathways linking aging and atheroprotection in Mif ‐deficient atherosclerotic mice. The FASEB Journal. 37(3). e22752–e22752. 8 indexed citations
5.
Kaya, Tuğberk, Nicola Mattugini, Lu Liu, et al.. (2022). CD8+ T cells induce interferon-responsive oligodendrocytes and microglia in white matter aging. Nature Neuroscience. 25(11). 1446–1457. 109 indexed citations
6.
Benakis, Corinne, Alba Simats, Sophie Tritschler, et al.. (2022). T cells modulate the microglial response to brain ischemia. eLife. 11. 36 indexed citations
7.
Liu, Lu, Simon Besson‐Girard, Hao Ji, et al.. (2021). Dissociation of microdissected mouse brain tissue for artifact free single-cell RNA sequencing. STAR Protocols. 2(2). 100590–100590. 13 indexed citations
8.
Safaiyan, Shima, Simon Besson‐Girard, Tuğberk Kaya, et al.. (2021). White matter aging drives microglial diversity. Neuron. 109(7). 1100–1117.e10. 271 indexed citations breakdown →

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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