François Pognan

2.9k citations
32 papers · 1.9k indexed · 2 hit papers · h-index 18

François Pognan

32 papers receiving 1.8k citations

Hit Papers

The evol...1322001202620092017200400600

Peers

François Pognan
Comparison fields: 5 of 128
  • Pharmacology 269
  • Spectroscopy 449
  • Molecular Biology 1.1k
  • Computational Theory and Mathematics 207
  • Biophysics 58
Replace Laura Suter‐Dick with:
Laura Suter‐Dick Switzerland
Tatiana Nikolskaya United States
William D. Pennie United States
Rozbeh Jafari Sweden
Marina Ignatushchenko United States
Adam Yasgar United States
Yoshinobu Igarashi Japan
Ðắc-Trung Nguyễn United States
Owen B. Wallace United States
Claudia Escher Germany
François Pognan relative to Laura Suter‐Dick Switzerland Laura Suter‐Dick's profile →
Citations per field
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Laura Suter‐Dick · 1×
Citations per year

Countries citing papers authored by François Pognan

Since Specialization
Citations

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

Fields of papers citing papers by François Pognan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
The evolving role of investigative toxicology in the pharmaceutical industrybreakdown →
2023132
2 20227
3 201917
4 20183
5
The eTOX Consortium: To Improve the Safety Assessment of New Drug Candidates
20172
6 201617
7 201665
8 201644
9 201512
10 201420
11 201280
12 201236
13 201213
14 20116
15 201058
16 201016
17 200913
18 200710
19 200690
20
Validation and development of fluorescence two-dimensional differential gel electrophoresis proteomics technologybreakdown →
2001706

About François Pognan

François Pognan is a scholar working on Pharmacology, Small Animals and Computational Theory and Mathematics, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Drug-Induced Hepatotoxicity and Protection (6 papers), Animal testing and alternatives (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Liver physiology and pathology (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Biosimilars and Bioanalytical Methods (3 papers) and Sphingolipid Metabolism and Signaling (3 papers). The work is most often cited by research in Pharmacology (269 citations), Spectroscopy (449 citations) and Molecular Biology (1.1k citations). François Pognan has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Matt Davison, Robert Tonge, Brian Middleton, Rachel Rowlinson, J. Young, Joanne Shaw, Edward Hawkins, John C. Lindon, Jeremy K. Nicholson and Muireann Coen. Their work appears in journals such as Leukemia Research, International Journal of Molecular Sciences, Toxicology in Vitro, PROTEOMICS and Toxicologic Pathology.

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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