Valery Tkachenko
Impact in
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- Computational Drug Discovery Methods
- Spectroscopy top 10%
- Analytical Chemistry and Chromatography
Papers in ⓘ
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- Computational Drug Discovery Methods 11
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- Biomedical Text Mining and Ontologies 5
- Metabolomics and Mass Spectrometry Studies 4
- Co-authors
- Antony Williams (12 shared papers)Sean Ekins (4 shared papers)Alexandru Korotcov (4 shared papers)Daniel P. Russo (2 shared papers)James L. Little (1 shared paper)Kamel Mansouri (2 shared papers)Nicole Kleinstreuer (2 shared papers)Chris Grulke (1 shared paper)
- Journals
- Journal of Cheminformatics (7 papers)Molecular Pharmaceutics (3 papers)Journal of the American Society for Mass Spectrometry (1 paper)Materials Horizons (1 paper)Chemistry of Materials (1 paper)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Valery Tkachenko
18 papers receiving 969 citations
Peers
Comparison fields: 5 of 133
- Computational Theory and Mathematics 450
- Spectroscopy 124
- Health Informatics 10
- Molecular Biology 470
- Chemical Health and Safety 4
Countries citing papers authored by Valery Tkachenko
This map shows the geographic impact of Valery Tkachenko'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 Valery Tkachenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valery Tkachenko more than expected).
Fields of papers citing papers by Valery Tkachenko
This network shows the impact of papers produced by Valery Tkachenko. 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 Valery Tkachenko. The network helps show where Valery Tkachenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Valery Tkachenko, 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 | 2017 | 245 | |
| 2 | 2011 | 134 | |
| 3 | 2019 | 119 | |
| 4 | 2012 | 90 | |
| 5 | 2018 | 82 | |
| 6 | 2013 | 78 | |
| 7 | 2020 | 42 | |
| 8 | 2014 | 37 | |
| 9 | 2010 | 37 | |
| 10 | 2016 | 27 | |
| 11 | 2024 | 21 | |
| 12 | 2010 | 21 | |
| 13 | 2015 | 20 | |
| 14 | 2020 | 17 | |
| 15 | 2021 | 13 | |
| 16 | 2015 | 10 | |
| 17 | 2025 | 5 | |
| 18 | 2021 | 3 |
About Valery Tkachenko
Valery Tkachenko is a scholar working on Computational Theory and Mathematics, Molecular Biology, Materials Chemistry, Artificial Intelligence and Physical and Theoretical Chemistry, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Biomedical Text Mining and Ontologies (5 papers), Machine Learning in Materials Science (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Advanced Text Analysis Techniques (2 papers), Cell Image Analysis Techniques (2 papers), Various Chemistry Research Topics (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Computational Theory and Mathematics (450 citations), Spectroscopy (124 citations), Health Informatics (10 citations), Molecular Biology (470 citations) and Chemical Health and Safety (4 citations). Valery Tkachenko has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Antony Williams, Sean Ekins, Alexandru Korotcov, Daniel P. Russo, James L. Little, Kamel Mansouri, Nicole Kleinstreuer, Chris Grulke, David Allen and Artem Mitrofanov. Their work appears in journals such as Journal of Cheminformatics, Molecular Pharmaceutics, Journal of the American Society for Mass Spectrometry, Materials Horizons and Chemistry of Materials.
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.