Valery Tkachenko
Impact in
-
- Computational Drug Discovery Methods
- Health Informatics top 10%
Papers in
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- Computational Drug Discovery Methods 10
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- Biomedical Text Mining and Ontologies 5
- Metabolomics and Mass Spectrometry Studies 4
- Co-authors
- Antony Williams (14 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)Warren Casey (1 shared paper)
- Journals
- Journal of Cheminformatics (7 papers)Molecular Pharmaceutics (3 papers)Drug Discovery Today (1 paper)Materials Horizons (1 paper)Chemistry of Materials (1 paper)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Valery Tkachenko
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 134
- Computational Theory and Mathematics 494
- Health Informatics 11
- Spectroscopy 128
- Molecular Biology 495
- 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 268 | |
| 2 | 2011 | 146 | |
| 3 | 2019 | 131 | |
| 4 | 2012 | 100 | |
| 5 | 2013 | 92 | |
| 6 | 2018 | 86 | |
| 7 | 2020 | 49 | |
| 8 | 2014 | 44 | |
| 9 | 2010 | 43 | |
| 10 | 2016 | 28 | |
| 11 | 2024 | 27 | |
| 12 | 2010 | 22 | |
| 13 | 2015 | 20 | |
| 14 | 2020 | 17 | |
| 15 | 2021 | 15 | |
| 16 | 2015 | 10 | |
| 17 | 2013 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2012 | 2 |
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 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Biomedical Text Mining and Ontologies (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Machine Learning in Materials Science (4 papers), Tuberculosis Research and Epidemiology (2 papers), Various Chemistry Research Topics (2 papers), Scientific Computing and Data Management (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Computational Theory and Mathematics (494 citations), Health Informatics (11 citations), Spectroscopy (128 citations), Molecular Biology (495 citations) and Chemical Health and Safety (4 citations). Valery Tkachenko has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Antony Williams, Sean Ekins, Alexandru Korotcov, Daniel P. Russo, James L. Little, Kamel Mansouri, Nicole Kleinstreuer, Warren Casey, David Allen and Artem Mitrofanov. Their work appears in journals such as Journal of Cheminformatics, Molecular Pharmaceutics, Drug Discovery Today, 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.