P. Thévenet
Impact in
- Microbiology top 1%
- Antimicrobial Peptides and Activities
- Molecular Biology top 10%
- vaccines and immunoinformatics approaches
- Biochemical and Structural Characterization
- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
Papers in
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- Mechanical Behavior of Composites 9
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- Cellular and Composite Structures 6
- Co-authors
- Pierre Tufféry (6 shared papers)Philippe Derreumaux (2 shared papers)Julien Rey (3 shared papers)Alexis Lamiable (3 shared papers)Yimin Shen (1 shared paper)Frédéric Guyon (1 shared paper)Julien Maupetit (1 shared paper)Jean-Jacques Barrau (7 shared papers)
In The Last Decade
P. Thévenet
28 papers receiving 1.9k citations
P. Thévenet's Hit Papers
Peers
Comparison fields: 5 of 119
- Microbiology 313
- Molecular Biology 1.0k
- Mechanics of Materials 322
- Immunology 183
- Infectious Diseases 129
Countries citing papers authored by P. Thévenet
This map shows the geographic impact of P. Thévenet'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 P. Thévenet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Thévenet more than expected).
Fields of papers citing papers by P. Thévenet
This network shows the impact of papers produced by P. Thévenet. 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 P. Thévenet. The network helps show where P. Thévenet may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Thévenet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PEP-FOLD3: fasterde novostructure prediction for linear peptides in solution and in complex Hit paper breakdown → | 2016 | 785 |
| 2 | PEP-FOLD: an updated de novo structure prediction server for both linear and disulfide bonded cyclic peptides Hit paper breakdown → | 2012 | 511 |
| 3 | 2005 | 104 | |
| 4 | 2007 | 103 | |
| 5 | 2003 | 76 | |
| 6 | 2014 | 70 | |
| 7 | 1994 | 46 | |
| 8 | 2006 | 44 | |
| 9 | 2007 | 41 | |
| 10 | 1994 | 29 | |
| 11 | 1999 | 24 | |
| 12 | 1999 | 22 | |
| 13 | 2009 | 17 | |
| 14 | 2016 | 10 | |
| 15 | 2007 | 10 | |
| 16 | 2014 | 9 | |
| 17 | 1991 | 7 | |
| 18 | The thermal ion mass spectrometer on board AUREOL-3 - The DYCTION experiment | 1982 | 6 |
| 19 | 2005 | 6 | |
| 20 | 1992 | 5 |
About P. Thévenet
P. Thévenet is a scholar working on Mechanics of Materials, Mechanical Engineering, Materials Chemistry, Astronomy and Astrophysics and Nuclear and High Energy Physics, having authored 29 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mechanical Behavior of Composites (9 papers), High-Velocity Impact and Material Behavior (8 papers), Ionosphere and magnetosphere dynamics (7 papers), Magnetic confinement fusion research (7 papers), Cellular and Composite Structures (6 papers), Chemical Synthesis and Analysis (5 papers), RNA and protein synthesis mechanisms (4 papers) and Structural Response to Dynamic Loads (3 papers). The work is most often cited by research in Microbiology (313 citations), Molecular Biology (1.0k citations), Mechanics of Materials (322 citations), Immunology (183 citations) and Infectious Diseases (129 citations). P. Thévenet has collaborated with scholars based in France, Russia and Malaysia. Frequent co-authors include Pierre Tufféry, Philippe Derreumaux, Julien Rey, Alexis Lamiable, Yimin Shen, Frédéric Guyon, Julien Maupetit, Jean-Jacques Barrau, Bruno Castanié and Yulfian Aminanda. Their work appears in journals such as Physics of Plasmas, Nucleic Acids Research, Computers & Structures, Journal of Composite Materials and Journal of Computational 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.