Jacques Hamon

4.3k citations
25 papers · 3.0k indexed · 2 hit papers · h-index 16

Impact in

Papers in

Jacques Hamon

24 papers receiving 2.9k citations

Hit Papers

Large-scale prediction and testing of drug activity on side-effect targets 2012 · 656 citations
6562012202620162021200400600

Peers

Jacques Hamon
Comparison fields: 5 of 134
  • Computational Theory and Mathematics 1.6k
  • Pharmacology 533
  • Toxicology 154
  • Molecular Biology 1.7k
  • Pharmacology 406
Replace Christian Laggner with:
Christian Laggner Austria
Xiaofeng Liu China
Mónica Campillos Germany
Vivian Law Canada
Yvonne Will United States
John W. Davies Switzerland
Oleg Ursu United States
Georgina A. Holloway Australia
Orazio Nicolotti Italy
Cristian Bologa United States
Jacques Hamon relative to Christian Laggner Austria Christian Laggner's profile →
Citations per field
00.5×1.5×1.8×
Christian Laggner · 1×
Citations per year

Countries citing papers authored by Jacques Hamon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jacques Hamon Line = papers co-authored together Jacques Hamon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202413
2 201412
3 201438
4 201379
5 2013350
6 201315
7
Large-scale prediction and testing of drug activity on side-effect targets
Hit paper breakdown →
2012656
8
Reducing safety-related drug attrition: the use of in vitro pharmacological profiling
Hit paper breakdown →
2012485
9 20111
10 2009125
11 200936
12 200827
13 2007127
14 2007247
15 2006208
16 2005295
17 200560
18 199934
19 19967
20
[Anxiety states and potentialized barbiturates].
19521

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.

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