Jacques Haiech
- Molecular Biology top 2%
- Protein Structure and Dynamics 23
- Gene Regulatory Network Analysis 17
- Microbial Metabolic Engineering and Bioproduction 15
- RNA and protein synthesis mechanisms 13
- Ion channel regulation and function 11
- Protein Kinase Regulation and GTPase Signaling 10
- Cell Biology top 2%
- Biophysics top 2%
- Immunology and Allergy top 5%
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- Enzyme Structure and Function 17
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- Computational Drug Discovery Methods 11
- Co-authors
- Jacques DemailleMarie‐Claude KilhofferJean DerancourtChristian J. Le PeuchD. Martin WattersonClaude B. KleeMaria ZeniouJihu Dong
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Journal of Biological Chemistry (12 papers)PLoS ONE (5 papers)
- Partner nations
- FranceUnited StatesRussia
In The Last Decade
Jacques Haiech
173 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 158
- Molecular Biology 3.9k
- Cell Biology 728
- Cellular and Molecular Neuroscience 690
- Biophysics 158
- Immunology and Allergy 153
Countries citing papers authored by Jacques Haiech
This map shows the geographic impact of Jacques Haiech'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 Jacques Haiech with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques Haiech more than expected).
Fields of papers citing papers by Jacques Haiech
This network shows the impact of papers produced by Jacques Haiech. 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 Jacques Haiech. The network helps show where Jacques Haiech may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jacques Haiech, 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 | 2023 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 18 | |
| 4 | 2020 | 0 | |
| 5 | 2018 | 2 | |
| 6 | 2017 | 16 | |
| 7 | 2017 | 17 | |
| 8 | 2017 | 1 | |
| 9 | 2015 | 3 | |
| 10 | 2014 | 29 | |
| 11 | 2014 | 28 | |
| 12 | 2012 | 5 | |
| 13 | 2010 | 77 | |
| 14 | 2007 | 36 | |
| 15 | 2006 | 15 | |
| 16 | 2003 | 5 | |
| 17 | 2003 | 34 | |
| 18 | 2000 | 40 | |
| 19 | 1998 | 84 | |
| 20 | 1990 | 11 |
About Jacques Haiech
Jacques Haiech is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience, having authored 178 papers that have together received 5.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (23 papers), Enzyme Structure and Function (17 papers), Gene Regulatory Network Analysis (17 papers), Microbial Metabolic Engineering and Bioproduction (15 papers), RNA and protein synthesis mechanisms (13 papers), Computational Drug Discovery Methods (11 papers), Ion channel regulation and function (11 papers) and Protein Kinase Regulation and GTPase Signaling (10 papers). The work is most often cited by research in Molecular Biology (3.9k citations), Cell Biology (728 citations) and Cellular and Molecular Neuroscience (690 citations). Jacques Haiech has collaborated with scholars based in France, United States and Russia. Frequent co-authors include Jacques Demaille, Marie‐Claude Kilhoffer, Jean Derancourt, Christian J. Le Peuch, D. Martin Watterson, Claude B. Klee, Maria Zeniou, Jihu Dong, Wanyin Chen and Jean-François Péchère. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.
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.