Pascal Villa

2.3k citations
46 papers · 1.8k · 1 hit paper · h-index 19

Impact in

Papers in

    • Receptor Mechanisms and Signaling 8
    • Cell death mechanisms and regulation 4
    • Phosphodiesterase function and regulation 2
    • RNA Interference and Gene Delivery 2
    • Nuclear Receptors and Signaling 3
    • Neuropeptides and Animal Physiology 3

Pascal Villa

45 papers receiving 1.7k citations

Pascal Villa's Hit Papers

Caspases and caspase inhibitors 1997 · 520 citations
5200+9+19Years since publication100200300400500

Peers

Pascal Villa
Comparison fields: 5 of 115
  • Molecular Biology 1.0k
  • Cellular and Molecular Neuroscience 215
  • Cell Biology 181
  • Immunology 187
  • Developmental Neuroscience 35
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Pascal Villa relative to Yuhong Du United States Yuhong Du's profile →
Citations per field
00.5×2.9×
Yuhong Du · 1×
Citations per year

Countries citing papers authored by Pascal Villa

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Villa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Caspases and caspase inhibitors
Hit paper breakdown →
1997520
2 2002228
3 1998140
4 2012110
5 2014101
6 201549
7 201449
8 200942
9 201839
10 199933
11 200532
12 201832
13 202029
14 199427
15 201027
16 201624
17 201524
18 202122
19 201519
20 201518

About Pascal Villa

Pascal Villa is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Physiology and Organic Chemistry, having authored 46 papers that have together received 1.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Cell death mechanisms and regulation (4 papers), Neuroendocrine regulation and behavior (3 papers), Nuclear Receptors and Signaling (3 papers), Neuropeptides and Animal Physiology (3 papers), Apelin-related biomedical research (3 papers), Phosphodiesterase function and regulation (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Cellular and Molecular Neuroscience (215 citations), Cell Biology (181 citations), Immunology (187 citations) and Developmental Neuroscience (35 citations). Pascal Villa has collaborated with scholars based in France, United Kingdom and French Guiana. Frequent co-authors include William C. Earnshaw, Scott H. Kaufmann, Marcel Hibert, Brigitte Pettmann, M. Sensenbrenner, Dominique Bonnet, Nadia Korfali, Colin Dingwall, Sandrine Ruchaud and Timothy Kottke. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Ethnopharmacology, ACS Chemical Biology, Biomolecules and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

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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