Eva Pebay‐Peyroula

7.6k citations
86 papers · 6.1k indexed · 2 hit papers · h-index 36

Eva Pebay‐Peyroula

85 papers receiving 6.0k citations

Hit Papers

Structure of mitochondrial ADP/ATP carrier in complex wit...8121997202620062016250500750

Peers

Eva Pebay‐Peyroula
Comparison fields: 5 of 121
  • Cellular and Molecular Neuroscience 1.9k
  • Molecular Biology 4.6k
  • Clinical Biochemistry 414
  • Structural Biology 65
  • Spectroscopy 570
Replace Marcus Fändrich with:
Marcus Fändrich Germany
Carola Hunte Germany
Jacqueline M. Gulbis Australia
Shohei Koide United States
Bernd Ludwig Germany
William A. Cramer United States
Dimitrios Fotiadis Switzerland
Jean‐Luc Popot France
Da‐Neng Wang United States
Hiroshi Aoyama Japan
Eva Pebay‐Peyroula relative to Marcus Fändrich Germany Marcus Fändrich's profile →
Citations per field
00.5×2.8×
Marcus Fändrich · 1×
Citations per year

Countries citing papers authored by Eva Pebay‐Peyroula

Since Specialization
Citations

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

Fields of papers citing papers by Eva Pebay‐Peyroula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Pebay‐Peyroula. 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 Eva Pebay‐Peyroula. The network helps show where Eva Pebay‐Peyroula may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202250
2 20172
3 20126
4 20129
5 201247
6 2011102
7 201035
8 201032
9
Biophysical analysis of membrane proteins : investigating structure and function
200821
10 20058
11 200470
12 200328
13 200226
14 2002162
15 20027
16 200029
17 1999118
18 1999276
19 199586
20 199375

About Eva Pebay‐Peyroula

Eva Pebay‐Peyroula is a scholar working on Cellular and Molecular Neuroscience, Clinical Biochemistry and Molecular Biology, having authored 86 papers that have together received 6.1k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (26 papers), Photoreceptor and optogenetics research (19 papers), Mitochondrial Function and Pathology (18 papers), Photosynthetic Processes and Mechanisms (18 papers), Enzyme Structure and Function (14 papers), ATP Synthase and ATPases Research (14 papers), Neuroscience and Neuropharmacology Research (14 papers) and Protein Structure and Dynamics (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Molecular Biology (4.6k citations) and Clinical Biochemistry (414 citations). Eva Pebay‐Peyroula has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Ehud M. Landau, Antoine Royant, Gérard Brandolin, Jürg P. Rosenbusch, Gabriele Rummel, Cécile Dahout-Gonzalez, Guy J.‐M. Lauquin, Véronique Trézéguet, Richard Neutze and Peter Nollert.

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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