Pierre Tufféry
Impact in
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
Papers in
-
- Computational Drug Discovery Methods 25
-
- Protein Structure and Dynamics 54
- RNA and protein synthesis mechanisms 23
- Chemical Synthesis and Analysis 20
- Machine Learning in Bioinformatics 19
- Genomics and Phylogenetic Studies 14
- Glycosylation and Glycoproteins Research 9
- Co-authors
- Philippe DerreumauxJulien MaupetitVincent Le GuillouxPeter SchmidtkeJulien ReyP. ThévenetYimin ShenFrédéric Guyon
- Journals
- Nucleic Acids Research (26 papers)Proteins Structure Function and Bioinformatics (6 papers)Bioinformatics (5 papers)Journal of Computational Chemistry (5 papers)Theoretical Chemistry Accounts (4 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Pierre Tufféry
111 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Microbiology 646
- Computational Theory and Mathematics 1.5k
- Molecular Biology 5.8k
- Virology 147
- Immunology 577
Countries citing papers authored by Pierre Tufféry
This map shows the geographic impact of Pierre Tufféry'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 Pierre Tufféry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Tufféry more than expected).
Fields of papers citing papers by Pierre Tufféry
This network shows the impact of papers produced by Pierre Tufféry. 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 Pierre Tufféry. The network helps show where Pierre Tufféry may publish in the future.
Co-authors
The 25 scholars most cited alongside Pierre Tufféry, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2023 | 7 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 2 | |
| 6 | 2017 | 110 | |
| 7 | 2017 | 4 | |
| 8 | PEP-FOLD3: fasterde novostructure prediction for linear peptides in solution and in complex Hit paper breakdown → | 2016 | 759 |
| 9 | 2015 | 182 | |
| 10 | 2013 | 94 | |
| 11 | 2010 | 215 | |
| 12 | 2009 | 324 | |
| 13 | 2009 | 186 | |
| 14 | 2007 | 6 | |
| 15 | 2005 | 48 | |
| 16 | 2004 | 130 | |
| 17 | 2004 | 25 | |
| 18 | 1995 | 27 | |
| 19 | 1993 | 12 | |
| 20 | 1991 | 273 |
About Pierre Tufféry
Pierre Tufféry is a scholar working on Computational Theory and Mathematics, Molecular Biology, Information Systems and Management, Materials Chemistry and Microbiology, having authored 113 papers that have together received 7.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (54 papers), Computational Drug Discovery Methods (25 papers), RNA and protein synthesis mechanisms (23 papers), Enzyme Structure and Function (23 papers), Chemical Synthesis and Analysis (20 papers), Machine Learning in Bioinformatics (19 papers), Genomics and Phylogenetic Studies (14 papers) and Glycosylation and Glycoproteins Research (9 papers). The work is most often cited by research in Microbiology (646 citations), Computational Theory and Mathematics (1.5k citations), Molecular Biology (5.8k citations), Virology (147 citations) and Immunology (577 citations). Pierre Tufféry has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Philippe Derreumaux, Julien Maupetit, Vincent Le Guilloux, Peter Schmidtke, Julien Rey, P. Thévenet, Yimin Shen, Frédéric Guyon, Maria A. Miteva and S. Hazout. Their work appears in journals such as Nucleic Acids Research, Proteins Structure Function and Bioinformatics, Bioinformatics, Journal of Computational Chemistry and Theoretical Chemistry Accounts.
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.