Jean Peccoud
Impact in
- Molecular Biology top 5%
- Gene Regulatory Network Analysis
- CRISPR and Genetic Engineering
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Biophysics top 2%
Papers in
-
- Gene Regulatory Network Analysis 28
- CRISPR and Genetic Engineering 11
- Fungal and yeast genetics research 9
- RNA and protein synthesis mechanisms 9
- Bioinformatics and Genomic Networks 9
- Microbial Metabolic Engineering and Bioproduction 6
- Genetics 9
- Bacterial Genetics and Biotechnology 7
- Co-authors
- Bernard Ycart (1 shared paper)Diane Mathis (6 shared papers)Yizhi Cai (6 shared papers)Paolo Dellabona (3 shared papers)Christophe Jacob (3 shared papers)Christophe Benoıst (5 shared papers)Michael J. Czar (2 shared papers)Philippa Marrack (1 shared paper)
- Journals
- Trends in biotechnology (8 papers)Bioinformatics (7 papers)PLoS ONE (6 papers)Nucleic Acids Research (5 papers)PLoS Computational Biology (4 papers)
- Partner nations
- United StatesFranceNiger
In The Last Decade
Jean Peccoud
69 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 147
- Molecular Biology 1.6k
- Biophysics 112
- Immunology 388
- Genetics 438
- Modeling and Simulation 28
Countries citing papers authored by Jean Peccoud
This map shows the geographic impact of Jean Peccoud'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 Jean Peccoud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Peccoud more than expected).
Fields of papers citing papers by Jean Peccoud
This network shows the impact of papers produced by Jean Peccoud. 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 Jean Peccoud. The network helps show where Jean Peccoud may publish in the future.
Co-authors
The 25 scholars most cited alongside Jean Peccoud, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 452 | |
| 2 | 1990 | 377 | |
| 3 | 1998 | 238 | |
| 4 | 1996 | 126 | |
| 5 | 2009 | 117 | |
| 6 | 2008 | 112 | |
| 7 | 2018 | 62 | |
| 8 | 2017 | 61 | |
| 9 | 2007 | 58 | |
| 10 | 2008 | 58 | |
| 11 | 1990 | 55 | |
| 12 | 2011 | 45 | |
| 13 | 2010 | 45 | |
| 14 | 2006 | 41 | |
| 15 | 2004 | 36 | |
| 16 | 2009 | 31 | |
| 17 | 2016 | 29 | |
| 18 | 1989 | 27 | |
| 19 | 2018 | 26 | |
| 20 | 1998 | 25 |
About Jean Peccoud
Jean Peccoud is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Immunology and Plant Science, having authored 72 papers that have together received 2.4k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (28 papers), CRISPR and Genetic Engineering (11 papers), Fungal and yeast genetics research (9 papers), RNA and protein synthesis mechanisms (9 papers), Bioinformatics and Genomic Networks (9 papers), Bacterial Genetics and Biotechnology (7 papers), T-cell and B-cell Immunology (6 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Biophysics (112 citations), Immunology (388 citations), Genetics (438 citations) and Modeling and Simulation (28 citations). Jean Peccoud has collaborated with scholars based in United States, France and Niger. Frequent co-authors include Bernard Ycart, Diane Mathis, Yizhi Cai, Paolo Dellabona, Christophe Jacob, Christophe Benoıst, Michael J. Czar, Philippa Marrack, John W. Kappler and Jenna Gallegos. Their work appears in journals such as Trends in biotechnology, Bioinformatics, PLoS ONE, Nucleic Acids Research and PLoS Computational Biology.
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.