Jacques Hamon
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
- Microbial Natural Products and Biosynthesis
Papers in
-
- Pharmacogenetics and Drug Metabolism 7
- Inflammatory mediators and NSAID effects 2
-
- Computational Drug Discovery Methods 10
- Co-authors
- Steven WhitebreadLászló UrbánJeremy L. JenkinsDejan BojanicД. А. МихайловKhalil AzzaouiWolfgang JarolimekAndrew J. Brown
- Journals
- ChemMedChem (3 papers)European Journal of Medicinal Chemistry (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Journal of Biological Chemistry (2 papers)Journal of Medicinal Chemistry (2 papers)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Jacques Hamon
24 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Computational Theory and Mathematics 1.6k
- Pharmacology 533
- Toxicology 154
- Molecular Biology 1.7k
- Pharmacology 406
Countries citing papers authored by Jacques Hamon
This map shows the geographic impact of Jacques Hamon'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 Hamon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques Hamon more than expected).
Fields of papers citing papers by Jacques Hamon
This network shows the impact of papers produced by Jacques Hamon. 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 Hamon. The network helps show where Jacques Hamon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jacques Hamon, 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 | 2024 | 13 | |
| 2 | 2014 | 12 | |
| 3 | 2014 | 38 | |
| 4 | 2013 | 79 | |
| 5 | 2013 | 350 | |
| 6 | 2013 | 15 | |
| 7 | Large-scale prediction and testing of drug activity on side-effect targets Hit paper breakdown → | 2012 | 656 |
| 8 | Reducing safety-related drug attrition: the use of in vitro pharmacological profiling Hit paper breakdown → | 2012 | 485 |
| 9 | 2011 | 1 | |
| 10 | 2009 | 125 | |
| 11 | 2009 | 36 | |
| 12 | 2008 | 27 | |
| 13 | 2007 | 127 | |
| 14 | 2007 | 247 | |
| 15 | 2006 | 208 | |
| 16 | 2005 | 295 | |
| 17 | 2005 | 60 | |
| 18 | 1999 | 34 | |
| 19 | 1996 | 7 | |
| 20 | [Anxiety states and potentialized barbiturates]. | 1952 | 1 |
About Jacques Hamon
Jacques Hamon is a scholar working on Pharmacology, Computational Theory and Mathematics, Pharmacology, Toxicology and Statistics and Probability, having authored 25 papers that have together received 3.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Receptor Mechanisms and Signaling (9 papers), Pharmacogenetics and Drug Metabolism (7 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Bioinformatics and Genomic Networks (2 papers), Ion channel regulation and function (2 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1.6k citations), Pharmacology (533 citations), Toxicology (154 citations), Molecular Biology (1.7k citations) and Pharmacology (406 citations). Jacques Hamon has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Steven Whitebread, László Urbán, Jeremy L. Jenkins, Dejan Bojanic, Д. А. Михайлов, Khalil Azzaoui, Wolfgang Jarolimek, Andrew J. Brown, Arun Sridhar and Joanne Bowes. Their work appears in journals such as ChemMedChem, European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry and Journal of Medicinal 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.