Pascal Kessler

2.1k citations
32 papers · 1.6k · h-index 21

Impact in

Papers in

Pascal Kessler

32 papers receiving 1.6k citations

Peers

Pascal Kessler
Comparison fields: 5 of 106
  • Structural Biology 36
  • Cellular and Molecular Neuroscience 353
  • Cell Biology 274
  • Physiology 60
  • Molecular Biology 883
Replace Ning Huang with:
Ning Huang China
Henrik Martens Germany
Christian Vannier France
Lydia Danglot France
Henry L. Puhl United States
Karl Bellvé United States
Gregor Dernick Switzerland
Kyung‐Min Noh United States
Eugenio F. Fornasiero Germany
Jeremy Leitz United States
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Citations per field
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Citations per year

Countries citing papers authored by Pascal Kessler

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Kessler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pascal Kessler, 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 Pascal Kessler Line = papers co-authored together Pascal Kessler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014214
2 2013194
3 2014156
4 2015124
5 201077
6 200765
7 201065
8 201662
9 201254
10 200752
11 201848
12 200746
13 201244
14 201841
15 201234
16 201933
17 197929
18 201527
19 201324
20 200723

About Pascal Kessler

Pascal Kessler is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Genetics and Biophysics, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Hormonal and reproductive studies (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Receptor Mechanisms and Signaling (3 papers), RNA Research and Splicing (3 papers), Prostate Cancer Treatment and Research (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Structural Biology (36 citations), Cellular and Molecular Neuroscience (353 citations), Cell Biology (274 citations), Physiology (60 citations) and Molecular Biology (883 citations). Pascal Kessler has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Coralie Spiegelhalter, Yannick Schwab, Didier Hentsch, Eric Erbs, Jean‐Luc Vonesch, Marie‐Christine Rio, Corinne Wendling, Catherine Tomasetto, Marc Koch and Dominique Massotte. Their work appears in journals such as PLoS ONE, Journal of Neuroscience, Human Molecular Genetics, Journal of Cell Science and Molecular Biology of the Cell.

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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