Benoı̂t Gigant

114 total papers · 6.4k total citations
63 papers, 5.1k citations indexed

About

Benoı̂t Gigant is a scholar working on Molecular Biology, Cell Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Benoı̂t Gigant has authored 63 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 39 papers in Cell Biology and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Benoı̂t Gigant's work include Microtubule and mitosis dynamics (39 papers), 14-3-3 protein interactions (20 papers) and Photosynthetic Processes and Mechanisms (15 papers). Benoı̂t Gigant is often cited by papers focused on Microtubule and mitosis dynamics (39 papers), 14-3-3 protein interactions (20 papers) and Photosynthetic Processes and Mechanisms (15 papers). Benoı̂t Gigant collaborates with scholars based in France, China and Switzerland. Benoı̂t Gigant's co-authors include M. Knossow, Raimond B. G. Ravelli, Patrick A. Curmi, André Sobel, Sylvie Lachkar, Isabelle Jourdain, Chunguang Wang, Michel O. Steinmetz, Fanny Roussi and J.J. Skehel and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Benoı̂t Gigant

63 papers receiving 5.0k citations

Hit Papers

Insight into tubulin regu... 2004 2026 2011 2018 2004 2005 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Benoı̂t Gigant 3.2k 2.0k 1.5k 626 476 63 5.1k
M. Knossow 3.8k 1.2× 2.0k 1.0× 1.4k 0.9× 630 1.0× 1.4k 2.9× 81 6.6k
Kirill Alexandrov 5.5k 1.7× 2.7k 1.4× 845 0.6× 540 0.9× 415 0.9× 177 7.3k
Janet Finer-Moore 4.6k 1.4× 1.1k 0.6× 426 0.3× 842 1.3× 720 1.5× 97 6.4k
Akira Takatsuki 4.1k 1.3× 1.7k 0.8× 1.0k 0.7× 379 0.6× 590 1.2× 151 6.6k
Elliott Shaw 3.8k 1.2× 731 0.4× 725 0.5× 1.3k 2.0× 386 0.8× 97 6.8k
Marcus Bantscheff 6.3k 2.0× 655 0.3× 546 0.4× 746 1.2× 304 0.6× 88 8.2k
Irving S. Sigal 7.9k 2.5× 924 0.5× 694 0.5× 973 1.6× 342 0.7× 58 10.9k
Thomas J. Wandless 5.9k 1.8× 1.3k 0.6× 887 0.6× 1.2k 1.9× 493 1.0× 76 7.9k
Brent R. Martin 2.7k 0.9× 756 0.4× 785 0.5× 569 0.9× 189 0.4× 51 3.7k
Doron C. Greenbaum 3.4k 1.1× 632 0.3× 934 0.6× 1.6k 2.5× 691 1.5× 44 6.3k

Countries citing papers authored by Benoı̂t Gigant

Since Specialization
Citations

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

Fields of papers citing papers by Benoı̂t Gigant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoı̂t Gigant

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