Pascal Villa

2.4k citations
52 papers · 2.0k · h-index 19

Impact in

    • Cell death mechanisms and regulation
    • RNA Interference and Gene Delivery
    • Mitochondrial Function and Pathology
  • Hepatology top 10%
    • Hepatitis C virus research

Papers in

Pascal Villa

49 papers receiving 1.9k citations

Peers

Pascal Villa
Comparison fields: 5 of 120
  • Molecular Biology 1.1k
  • Hepatology 95
  • Cellular and Molecular Neuroscience 216
  • Cell Biology 185
  • Immunology 197
Replace Jian Xu with:
Jian Xu China
Oliver H. Weiergräber Germany
Gary K. Smith United States
Mohinder K. Sardana United States
Xiaohong Xu China
Tohru Ichimura Japan
Ling Tong China
Frank Erdmann Germany
Takayoshi Okabe Japan
Lars Kuerschner Germany
Pascal Villa relative to Jian Xu China Jian Xu's profile →
Citations per field
00.5×1.7×
Jian Xu · 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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997519
2 2002228
3 1998141
4 2015122
5 2012111
6 2014103
7 201550
8 201449
9 200944
10 201842
11 199933
12 200533
13 201832
14 202029
15 199427
16 201026
17 202124
18 201524
19 201623
20 200618

About Pascal Villa

Pascal Villa is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology, Pharmacology and Cell Biology, having authored 52 papers that have together received 2.0k 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), Computational Drug Discovery Methods (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Hepatology (95 citations), Cellular and Molecular Neuroscience (216 citations), Cell Biology (185 citations) and Immunology (197 citations). Pascal Villa has collaborated with scholars based in France, United Kingdom and Switzerland. Frequent co-authors include William C. Earnshaw, Scott H. Kaufmann, Marcel Hibert, Brigitte Pettmann, Monique Sensenbrenner, Dominique Bonnet, Sandrine Ruchaud, Timothy J. Kottke, Colin Dingwall and Nadia Korfali. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Ethnopharmacology, ACS Chemical Biology, European Journal of Pharmacology and Bioconjugate Chemistry.

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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