Daniel Picot

35 papers receiving 3.9k citations

Daniel Picot's Hit Papers

The X-ray crystal structure of the membrane protein prostaglandin H2 synthase-1 1994 · 1.1k citations
1.1k0+10+21Years since publication2505007501k

Peers

Daniel Picot
Comparison fields: 5 of 119
  • Pharmacology 924
  • Biochemistry 206
  • Molecular Biology 2.1k
  • Structural Biology 43
  • Inorganic Chemistry 190
Replace Aditi Das with:
Aditi Das United States
Tatsuro Shimamura Japan
Akio Ito Japan
William M. Atkins United States
Betty Jean Gaffney United States
Syed Tasadaque Ali Shah Germany
J. J. Kim United States
Matthew D. Lloyd United Kingdom
Debashis Ghosh United States
Ian J. Clifton United Kingdom
Daniel Picot relative to Aditi Das United States Aditi Das's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Picot

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Picot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The X-ray crystal structure of the membrane protein prostaglandin H2 synthase-1
Hit paper breakdown →
19941084
2 2003569
3 1995409
4 2010382
5 1999273
6 1992164
7 1996150
8 2019112
9 1988110
10 1996109
11 200585
12 198780
13 201076
14 199066
15 199462
16 199150
17 201649
18 200744
19 201144
20 199539

About Daniel Picot

Daniel Picot is a scholar working on Materials Chemistry, Molecular Biology, Pharmacology, Biochemistry and Renewable Energy, Sustainability and the Environment, having authored 35 papers that have together received 4.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (22 papers), Photosynthetic Processes and Mechanisms (8 papers), Protein Structure and Dynamics (7 papers), Inflammatory mediators and NSAID effects (6 papers), Amino Acid Enzymes and Metabolism (4 papers), Lipid Membrane Structure and Behavior (3 papers), Metalloenzymes and iron-sulfur proteins (3 papers) and Electron Spin Resonance Studies (2 papers). The work is most often cited by research in Pharmacology (924 citations), Biochemistry (206 citations), Molecular Biology (2.1k citations), Structural Biology (43 citations) and Inorganic Chemistry (190 citations). Daniel Picot has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include R. Michael Garavito, Patrick J. Loll, Jean‐Luc Popot, Yves Choquet, David Stroebel, Wolfgang Nitschke, Françis-André Wollman, Johan N. Jansonius, Giovanni Finazzi and René Delosme. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Bioenergetics, Proceedings of the National Academy of Sciences, Nature, The EMBO Journal and Journal of Molecular Biology.

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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