Bénédicte Dargent

2.8k citations
42 papers · 2.2k · h-index 27

Impact in

Papers in

Bénédicte Dargent

42 papers receiving 2.2k citations

Peers

Bénédicte Dargent
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 1.1k
  • Developmental Neuroscience 205
  • Cell Biology 606
  • Structural Biology 40
  • Molecular Biology 1.4k
Replace Walter A. Kaufmann with:
Walter A. Kaufmann Austria
Scott Naisbitt United States
Makoto Itakura Japan
Kazuhiko Yamaguchi Japan
W. Bryan Smith United States
Alaa El‐Husseini Canada
Matthew J. Kennedy United States
Ling‐Gang Wu United States
Cristina Guatimosim Brazil
Jorge E. Moreira United States
Bénédicte Dargent relative to Walter A. Kaufmann Austria Walter A. Kaufmann's profile →
Citations per field
00.5×1.5×2.4×
Walter A. Kaufmann · 1×
Citations per year

Countries citing papers authored by Bénédicte Dargent

Since Specialization
Citations

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

Fields of papers citing papers by Bénédicte Dargent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bénédicte Dargent, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bénédicte Dargent Line = papers co-authored together Bénédicte Dargent links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003285
2 2015168
3 2008138
4 2015132
5 2011123
6 200484
7 201078
8 198672
9 201372
10 199070
11 199770
12 198367
13 201064
14 201156
15 199455
16 199947
17 200046
18 201744
19 199643
20 200343

About Bénédicte Dargent

Bénédicte Dargent is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Genetics and Biophysics, having authored 42 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (23 papers), Ion channel regulation and function (23 papers), Cellular transport and secretion (11 papers), Nicotinic Acetylcholine Receptors Study (6 papers), Lipid Membrane Structure and Behavior (6 papers), Microtubule and mitosis dynamics (4 papers), Bacterial Genetics and Biotechnology (4 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Developmental Neuroscience (205 citations), Cell Biology (606 citations), Structural Biology (40 citations) and Molecular Biology (1.4k citations). Bénédicte Dargent has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Christophe Leterrier, Marie‐Pierre Fache, François Couraud, Edmond Carlier, Juan José Garrido, Pierre Giraud, Fanny Fernandes, F. Pattus, Anna Brachet and Hélène Vacher. Their work appears in journals such as The Journal of Cell Biology, Journal of Neurochemistry, Proceedings of the National Academy of Sciences, European Journal of Neuroscience and The EMBO Journal.

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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