Frédéric Villard
Impact in
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- NF-κB Signaling Pathways
- Genetics top 10%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
Papers in
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- NF-κB Signaling Pathways 3
- Protease and Inhibitor Mechanisms 2
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- Hippo pathway signaling and YAP/TAZ 3
- Co-authors
- Allan D'Arcy (5 shared papers)Christian Wiesmann (3 shared papers)Nikolaus Schiering (3 shared papers)Paul J. A. Erbel (3 shared papers)Jutta Blank (2 shared papers)Martin Renatus (2 shared papers)Frédéric Bornancin (2 shared papers)Jörg Eder (2 shared papers)
- Journals
- Protein Science (2 papers)Blood (1 paper)Nature Communications (1 paper)ACS Medicinal Chemistry Letters (1 paper)Organic Process Research & Development (1 paper)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Frédéric Villard
17 papers receiving 633 citations
Peers
Comparison fields: 5 of 64
- Cancer Research 108
- Genetics 66
- Internal Medicine 22
- Hematology 61
- Materials Chemistry 151
Countries citing papers authored by Frédéric Villard
This map shows the geographic impact of Frédéric Villard'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 Frédéric Villard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Villard more than expected).
Fields of papers citing papers by Frédéric Villard
This network shows the impact of papers produced by Frédéric Villard. 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 Frédéric Villard. The network helps show where Frédéric Villard may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Villard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 180 | |
| 2 | 2019 | 102 | |
| 3 | 2012 | 84 | |
| 4 | 2019 | 56 | |
| 5 | 2016 | 54 | |
| 6 | 2011 | 51 | |
| 7 | 2019 | 31 | |
| 8 | 2020 | 26 | |
| 9 | 2006 | 17 | |
| 10 | 2023 | 14 | |
| 11 | 2018 | 12 | |
| 12 | 2018 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2020 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2025 | 1 |
About Frédéric Villard
Frédéric Villard is a scholar working on Cancer Research, Cell Biology, Computational Theory and Mathematics, Materials Chemistry and Oncology, having authored 17 papers that have together received 660 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (3 papers), Enzyme Structure and Function (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Computational Drug Discovery Methods (3 papers), Protease and Inhibitor Mechanisms (2 papers), Crystallization and Solubility Studies (2 papers), Peptidase Inhibition and Analysis (2 papers) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Cancer Research (108 citations), Genetics (66 citations), Internal Medicine (22 citations), Hematology (61 citations) and Materials Chemistry (151 citations). Frédéric Villard has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Allan D'Arcy, Christian Wiesmann, Nikolaus Schiering, Paul J. A. Erbel, Jutta Blank, Martin Renatus, Frédéric Bornancin, Jörg Eder, Samu Melkko and Lukas Leder. Their work appears in journals such as Protein Science, Blood, Nature Communications, ACS Medicinal Chemistry Letters and Organic Process Research & Development.
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.