Denis Fourches
Impact in
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Computational Drug Discovery Methods 55
- Co-authors
- Alexander TropshaEugene MuratovAlexandre VarnekArtem CherkasovIgor V. TetkoRoberto TodeschiniHao ZhuIgor I. Baskin
- Journals
- Journal of Chemical Information and Modeling (13 papers)Journal of Cheminformatics (7 papers)Molecular Informatics (7 papers)Chemical Research in Toxicology (5 papers)Bioinformatics (3 papers)
- Partner nations
- United StatesFranceUkraine
In The Last Decade
Denis Fourches
87 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Computational Theory and Mathematics 4.2k
- Pharmacology 472
- Materials Chemistry 2.1k
- Molecular Biology 2.8k
- Small Animals 288
Countries citing papers authored by Denis Fourches
This map shows the geographic impact of Denis Fourches'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 Denis Fourches with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denis Fourches more than expected).
Fields of papers citing papers by Denis Fourches
This network shows the impact of papers produced by Denis Fourches. 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 Denis Fourches. The network helps show where Denis Fourches may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Denis Fourches, 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 | 2020 | 23 | |
| 2 | 2020 | 17 | |
| 3 | QSAR without borders Hit paper breakdown → | 2020 | 547 |
| 4 | 2020 | 31 | |
| 5 | 2020 | 13 | |
| 6 | 2020 | 7 | |
| 7 | 2020 | 100 | |
| 8 | 2020 | 38 | |
| 9 | 2020 | 5 | |
| 10 | 2019 | 89 | |
| 11 | 2018 | 3 | |
| 12 | 2017 | 35 | |
| 13 | 2017 | 52 | |
| 14 | 2017 | 20 | |
| 15 | 2015 | 184 | |
| 16 | 2015 | 56 | |
| 17 | 2014 | 12 | |
| 18 | 2014 | 83 | |
| 19 | 2012 | 68 | |
| 20 | 2004 | 31 |
About Denis Fourches
Denis Fourches is a scholar working on Computational Theory and Mathematics, Toxicology, Pharmacology, Spectroscopy and Molecular Biology, having authored 91 papers that have together received 7.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (55 papers), Machine Learning in Materials Science (15 papers), Metabolomics and Mass Spectrometry Studies (13 papers), Analytical Chemistry and Chromatography (10 papers), Protein Structure and Dynamics (7 papers), Bioinformatics and Genomic Networks (6 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Microbial Natural Products and Biosynthesis (5 papers). The work is most often cited by research in Computational Theory and Mathematics (4.2k citations), Pharmacology (472 citations), Materials Chemistry (2.1k citations), Molecular Biology (2.8k citations) and Small Animals (288 citations). Denis Fourches has collaborated with scholars based in United States, France and Ukraine. Frequent co-authors include Alexander Tropsha, Eugene Muratov, Alexandre Varnek, Artem Cherkasov, Igor V. Tetko, Roberto Todeschini, Hao Zhu, Igor I. Baskin, Paola Gramatica and V. Е. Kuz’min. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Cheminformatics, Molecular Informatics, Chemical Research in Toxicology and Bioinformatics.
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.