Vladimir Potemkin
Impact in
-
- Computational Drug Discovery Methods
-
- Crystallography and molecular interactions
Papers in
-
- Synthesis and biological activity 13
- Synthesis and Biological Evaluation 10
- Free Radicals and Antioxidants 9
- Synthesis and Characterization of Heterocyclic Compounds 9
-
- Computational Drug Discovery Methods 40
- Co-authors
- Maria Grishina (80 shared papers)E.S. Salmina (5 shared papers)Iurii Sushko (1 shared paper)Gennadiy Poda (1 shared paper)Igor V. Tetko (1 shared paper)Hrvoje Rimac (12 shared papers)A.I. Stash (4 shared papers)Vladimir G. Tsirelson (4 shared papers)
In The Last Decade
Vladimir Potemkin
111 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 114
- Computational Theory and Mathematics 469
- Physical and Theoretical Chemistry 183
- Organic Chemistry 581
- Toxicology 43
- Materials Chemistry 425
Countries citing papers authored by Vladimir Potemkin
This map shows the geographic impact of Vladimir Potemkin'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 Vladimir Potemkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Potemkin more than expected).
Fields of papers citing papers by Vladimir Potemkin
This network shows the impact of papers produced by Vladimir Potemkin. 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 Vladimir Potemkin. The network helps show where Vladimir Potemkin may publish in the future.
Co-authors
The 25 scholars most cited alongside Vladimir Potemkin, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 190 | |
| 2 | 2006 | 115 | |
| 3 | 2008 | 57 | |
| 4 | 2008 | 56 | |
| 5 | 2007 | 46 | |
| 6 | 2009 | 46 | |
| 7 | 2006 | 42 | |
| 8 | 2018 | 37 | |
| 9 | 2018 | 36 | |
| 10 | 2011 | 34 | |
| 11 | 2022 | 31 | |
| 12 | 2018 | 30 | |
| 13 | 2017 | 30 | |
| 14 | 2009 | 26 | |
| 15 | 2002 | 26 | |
| 16 | 2019 | 23 | |
| 17 | 2000 | 23 | |
| 18 | 2021 | 21 | |
| 19 | 2021 | 20 | |
| 20 | 2006 | 20 |
About Vladimir Potemkin
Vladimir Potemkin is a scholar working on Organic Chemistry, Computational Theory and Mathematics, Molecular Biology, Spectroscopy and Materials Chemistry, having authored 113 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (40 papers), Synthesis and biological activity (13 papers), Crystallography and molecular interactions (10 papers), Analytical Chemistry and Chromatography (10 papers), Synthesis and Biological Evaluation (10 papers), Free Radicals and Antioxidants (9 papers), Synthesis and Characterization of Heterocyclic Compounds (9 papers) and Metal complexes synthesis and properties (7 papers). The work is most often cited by research in Computational Theory and Mathematics (469 citations), Physical and Theoretical Chemistry (183 citations), Organic Chemistry (581 citations), Toxicology (43 citations) and Materials Chemistry (425 citations). Vladimir Potemkin has collaborated with scholars based in Russia, India and Croatia. Frequent co-authors include Maria Grishina, E.S. Salmina, Iurii Sushko, Gennadiy Poda, Igor V. Tetko, Hrvoje Rimac, A.I. Stash, Vladimir G. Tsirelson, A. V. Potemkin and Prateek Pathak. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Future Medicinal Chemistry, Biocatalysis and Agricultural Biotechnology, Journal of Computer-Aided Molecular Design and Archiv der Pharmazie.
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.