Gaspard Gerschenfeld

32 total papers · 835 total citations
11 papers, 435 citations indexed

About

Gaspard Gerschenfeld is a scholar working on Epidemiology, Neurology and Rehabilitation. According to data from OpenAlex, Gaspard Gerschenfeld has authored 11 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 3 papers in Neurology and 3 papers in Rehabilitation. Recurrent topics in Gaspard Gerschenfeld's work include Acute Ischemic Stroke Management (5 papers), Stroke Rehabilitation and Recovery (3 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). Gaspard Gerschenfeld is often cited by papers focused on Acute Ischemic Stroke Management (5 papers), Stroke Rehabilitation and Recovery (3 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). Gaspard Gerschenfeld collaborates with scholars based in France, United States and Egypt. Gaspard Gerschenfeld's co-authors include Piotr Topilko, Thomas Topilko, Sophie Skriabine, Nicolas Renier, Marc Tessier‐Lavigne, Christoph Kirst, Nicolas Michalski, Alba Vieites‐Prado, Sonia Alamowitch and Michel Piotin and has published in prestigious journals such as Cell, International Journal of Molecular Sciences and Acta Neuropathologica.

In The Last Decade

Gaspard Gerschenfeld

10 papers receiving 430 citations

Author Peers

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

Author Last Decade Papers Cites
Gaspard Gerschenfeld 133 85 84 70 69 11 435
Mallikarjunarao Kasam 129 1.0× 101 1.2× 59 0.7× 29 0.4× 102 1.5× 8 434
Annemarie D. Wijnhoud 124 0.9× 87 1.0× 33 0.4× 13 0.2× 146 2.1× 9 406
Judit Haász 134 1.0× 41 0.5× 8 0.1× 37 0.5× 48 0.7× 14 415
Sebastián Capurro 116 0.9× 40 0.5× 89 1.1× 32 0.5× 114 1.7× 9 404
John E. Brooks 230 1.7× 61 0.7× 36 0.4× 63 0.9× 136 2.0× 11 456
N. Amberger 126 0.9× 63 0.7× 42 0.5× 50 0.7× 132 1.9× 8 425
Yutaro Komuro 65 0.5× 145 1.7× 116 1.4× 18 0.3× 64 0.9× 17 426
Isabel Keller 95 0.7× 41 0.5× 33 0.4× 30 0.4× 95 1.4× 9 376
Maria Àngels Font 96 0.7× 105 1.2× 47 0.6× 8 0.1× 45 0.7× 20 388
G Fassetta 103 0.8× 82 1.0× 114 1.4× 9 0.1× 253 3.7× 9 458

Countries citing papers authored by Gaspard Gerschenfeld

Since Specialization
Citations

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

Fields of papers citing papers by Gaspard Gerschenfeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaspard Gerschenfeld

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