Jean‐Luc Popot

7.9k citations
96 papers · 6.1k indexed · h-index 44

Jean‐Luc Popot

96 papers receiving 6.0k citations

Peers

Jean‐Luc Popot
Comparison fields: 5 of 118
  • Structural Biology 148
  • Molecular Biology 5.3k
  • Cellular and Molecular Neuroscience 1.2k
  • Spectroscopy 886
  • Sensory Systems 138
Replace Dimitrios Fotiadis with:
Dimitrios Fotiadis Switzerland
Timothy H. Bayburt United States
Takashi Kumasaka Japan
Phillip J. Stansfeld United Kingdom
Richard A. Pfuetzner United States
Joseph J. Falke United States
Ronald E. Stenkamp United States
Marc le Maire France
Joseph A. Mindell United States
Jürg P. Rosenbusch Switzerland
Jean‐Luc Popot relative to Dimitrios Fotiadis Switzerland Dimitrios Fotiadis's profile →
Citations per field
00.5×3.8×
Dimitrios Fotiadis · 1×
Citations per year

Countries citing papers authored by Jean‐Luc Popot

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Luc Popot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Luc Popot. 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 Jean‐Luc Popot. The network helps show where Jean‐Luc Popot may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20182
2 20147
3 201432
4 201417
5 201423
6 201353
7 2011261
8 201115
9 200855
10 200880
11 20077
12 200727
13 200480
14 200252
15 200230
16 2001132
17 199520
18 1995133
19 199412
20 19802

About Jean‐Luc Popot

Jean‐Luc Popot is a scholar working on Structural Biology, Cellular and Molecular Neuroscience and Spectroscopy, having authored 96 papers that have together received 6.1k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (47 papers), Photoreceptor and optogenetics research (24 papers), Photosynthetic Processes and Mechanisms (21 papers), Protein Structure and Dynamics (12 papers), Mass Spectrometry Techniques and Applications (12 papers), RNA and protein synthesis mechanisms (10 papers), Receptor Mechanisms and Signaling (9 papers) and Ion channel regulation and function (8 papers). The work is most often cited by research in Structural Biology (148 citations), Molecular Biology (5.3k citations) and Cellular and Molecular Neuroscience (1.2k citations). Jean‐Luc Popot has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Donald M. Engelman, Christophe Tribet, Jean‐Pierre Changeux, R. Audebert, Manuela Zoonens, David Stroebel, Daniel Picot, Yves Choquet, Fabrice Giusti and Yann Gohon. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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