Philippe Valadon

2.0k citations
26 papers · 1.6k · h-index 21

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
    • Antifungal resistance and susceptibility

Papers in

Philippe Valadon

26 papers receiving 1.5k citations

Peers

Philippe Valadon
Comparison fields: 5 of 93
  • Pharmacology 287
  • Infectious Diseases 364
  • Radiology, Nuclear Medicine and Imaging 409
  • Epidemiology 497
  • Immunology 308
Replace Mary W. Davey with:
Mary W. Davey Australia
Kaoru Onoue Japan
Kaoru Shimada Japan
Maurizio Cianfriglia Italy
Henri Moereels Belgium
Mika Okamoto Japan
Noriyuki Habuka Japan
Lata Ramanathan United States
Ted Fox United States
Alan J. Bitonti United States
Philippe Valadon relative to Mary W. Davey Australia Mary W. Davey's profile →
Citations per field
00.5×4.4×
Mary W. Davey · 1×
Citations per year

Countries citing papers authored by Philippe Valadon

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Valadon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998242
2 1997152
3 1996116
4 1999106
5 200591
6 199490
7 199782
8 199172
9 199369
10 199769
11 199662
12 199157
13 200255
14 199846
15 201041
16 199941
17 198740
18 201932
19 199631
20 200124

About Philippe Valadon

Philippe Valadon is a scholar working on Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Immunology and Organic Chemistry, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fungal Infections and Studies (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (6 papers), Toxin Mechanisms and Immunotoxins (4 papers), Antifungal resistance and susceptibility (3 papers), Organic Chemistry Cycloaddition Reactions (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Pharmacology (287 citations), Infectious Diseases (364 citations), Radiology, Nuclear Medicine and Imaging (409 citations), Epidemiology (497 citations) and Immunology (308 citations). Philippe Valadon has collaborated with scholars based in United States, France and Mexico. Frequent co-authors include Matthew D. Scharff, Arturo Casadevall, Daniel Mansuy, Patrick M. Dansette, Gabriel Nussbaum, Claudine Amar, Marta Feldmesser, Wendy Cleare, Joshua D. Nosanchuk and Philippe Beaune. Their work appears in journals such as Chemical Research in Toxicology, Proceedings of the National Academy of Sciences, Journal of Molecular Biology, mAbs and Journal of Immunological Methods.

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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