Alexandre Varnek
Impact in
- Computational Theory and Mathematics top 0.02%
- Computational Drug Discovery Methods
- Filtration and Separation top 2%
Papers in
-
- Computational Drug Discovery Methods 150
- Spectroscopy 50
- Analytical Chemistry and Chromatography 39
- Co-authors
- Igor I. BaskinGilles MarcouDragos HorvathDenis FourchesVitaly P. Solov’evTimur MadzhidovAlexander TropshaArtem Cherkasov
In The Last Decade
Alexandre Varnek
211 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Computational Theory and Mathematics 5.1k
- Filtration and Separation 128
- Spectroscopy 936
- Materials Chemistry 2.6k
- Molecular Biology 3.1k
Countries citing papers authored by Alexandre Varnek
This map shows the geographic impact of Alexandre Varnek'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 Alexandre Varnek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Varnek more than expected).
Fields of papers citing papers by Alexandre Varnek
This network shows the impact of papers produced by Alexandre Varnek. 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 Alexandre Varnek. The network helps show where Alexandre Varnek may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexandre Varnek, 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 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 24 | |
| 5 | 2023 | 9 | |
| 6 | Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR Hit paper breakdown → | 2023 | 145 |
| 7 | 2022 | 0 | |
| 8 | 2021 | 2 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 21 | |
| 11 | 2021 | 10 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 17 | |
| 14 | QSAR without borders Hit paper breakdown → | 2020 | 547 |
| 15 | 2019 | 99 | |
| 16 | 2019 | 22 | |
| 17 | 2019 | 49 | |
| 18 | 2018 | 54 | |
| 19 | 2017 | 13 | |
| 20 | 1993 | 6 |
About Alexandre Varnek
Alexandre Varnek is a scholar working on Computational Theory and Mathematics, Spectroscopy, Filtration and Separation, Physical and Theoretical Chemistry and Chemical Health and Safety, having authored 221 papers that have together received 7.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (150 papers), Machine Learning in Materials Science (56 papers), Analytical Chemistry and Chromatography (39 papers), Metabolomics and Mass Spectrometry Studies (21 papers), Microbial Natural Products and Biosynthesis (20 papers), Protein Structure and Dynamics (17 papers), Chemical Synthesis and Analysis (16 papers) and Chemical Thermodynamics and Molecular Structure (11 papers). The work is most often cited by research in Computational Theory and Mathematics (5.1k citations), Filtration and Separation (128 citations), Spectroscopy (936 citations), Materials Chemistry (2.6k citations) and Molecular Biology (3.1k citations). Alexandre Varnek has collaborated with scholars based in France, Russia and Japan. Frequent co-authors include Igor I. Baskin, Gilles Marcou, Dragos Horvath, Denis Fourches, Vitaly P. Solov’ev, Timur Madzhidov, Alexander Tropsha, Artem Cherkasov, Pavel Polishchuk and Igor V. Tetko. Their work appears in journals such as Journal of Chemical Information and Modeling, Molecular Informatics, Journal of Computer-Aided Molecular Design, SAR and QSAR in environmental research and Molecules.
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.