Pascal Savy
Impact in
- Molecular Biology top 1%
- Protein Structure and Dynamics
- Enzyme Catalysis and Immobilization
- RNA and protein synthesis mechanisms
- vaccines and immunoinformatics approaches
- Machine Learning in Bioinformatics
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 2
- Protein Structure and Dynamics 2
- DNA and Nucleic Acid Chemistry 2
- Melanoma and MAPK Pathways 2
-
- Computational Drug Discovery Methods 3
- Co-authors
- Charles M. Marson (2 shared papers)Rebecca Hong (1 shared paper)Peng Yue (1 shared paper)Karen R. Williams (1 shared paper)Steve Price (3 shared papers)Nguyen Tan (1 shared paper)Lisa D. Belmont (1 shared paper)Wayne J. Fairbrother (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (6 papers)Journal of Medicinal Chemistry (5 papers)Nature (2 papers)Molecular Cancer Therapeutics (1 paper)Journal of Carbohydrate Chemistry (1 paper)
- Partner nations
- United KingdomFranceBelgium
In The Last Decade
Pascal Savy
15 papers receiving 8.3k citations
Pascal Savy's Hit Papers
Peers
Comparison fields: 5 of 162
- Molecular Biology 4.4k
- Computational Theory and Mathematics 732
- Structural Biology 82
- Health Informatics 79
- Cell Biology 314
Countries citing papers authored by Pascal Savy
This map shows the geographic impact of Pascal Savy'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 Savy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Savy more than expected).
Fields of papers citing papers by Pascal Savy
This network shows the impact of papers produced by Pascal Savy. 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 Savy. The network helps show where Pascal Savy may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Savy, 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 | Accurate structure prediction of biomolecular interactions with AlphaFold 3 Hit paper breakdown → | 2024 | 7923 |
| 2 | Addendum: Accurate structure prediction of biomolecular interactions with AlphaFold 3 Hit paper breakdown → | 2024 | 165 |
| 3 | 2013 | 69 | |
| 4 | 2012 | 62 | |
| 5 | 2012 | 58 | |
| 6 | 2012 | 36 | |
| 7 | 2014 | 35 | |
| 8 | 2010 | 24 | |
| 9 | 2001 | 21 | |
| 10 | 2005 | 18 | |
| 11 | 1995 | 17 | |
| 12 | 2015 | 10 | |
| 13 | 2000 | 8 | |
| 14 | 2000 | 8 | |
| 15 | 2002 | 1 | |
| 16 | 2026 | 0 |
About Pascal Savy
Pascal Savy is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Immunology and Epidemiology, having authored 16 papers that have together received 8.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Protein Structure and Dynamics (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Melanoma and MAPK Pathways (2 papers), Hepatitis B Virus Studies (1 paper), Nuclear Receptors and Signaling (1 paper) and Carbohydrate Chemistry and Synthesis (1 paper). The work is most often cited by research in Molecular Biology (4.4k citations), Computational Theory and Mathematics (732 citations), Structural Biology (82 citations), Health Informatics (79 citations) and Cell Biology (314 citations). Pascal Savy has collaborated with scholars based in United Kingdom, France and Belgium. Frequent co-authors include Charles M. Marson, Rebecca Hong, Peng Yue, Karen R. Williams, Steve Price, Nguyen Tan, Lisa D. Belmont, Wayne J. Fairbrother, Deepak Sampath and Brenda Burton. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Nature, Molecular Cancer Therapeutics and Journal of Carbohydrate 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.