Viktor S. Stroylov
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Protein Structure and Dynamics 9
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- Computational Drug Discovery Methods 10
- Co-authors
- Fedor N. Novikov (23 shared papers)Ghermes G. Chilov (20 shared papers)Oleg V. Stroganov (19 shared papers)Alexey A. Zeifman (12 shared papers)Vladimir I. Muronetz (5 shared papers)Maria V. Panova (3 shared papers)Tatiana V. Rakitina (5 shared papers)Thomas Haertlé (2 shared papers)
In The Last Decade
Viktor S. Stroylov
33 papers receiving 549 citations
Peers
Comparison fields: 5 of 86
- Computational Theory and Mathematics 157
- Toxicology 16
- Hematology 50
- Molecular Biology 286
- Organic Chemistry 103
Countries citing papers authored by Viktor S. Stroylov
This map shows the geographic impact of Viktor S. Stroylov'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 Viktor S. Stroylov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktor S. Stroylov more than expected).
Fields of papers citing papers by Viktor S. Stroylov
This network shows the impact of papers produced by Viktor S. Stroylov. 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 Viktor S. Stroylov. The network helps show where Viktor S. Stroylov may publish in the future.
Co-authors
The 25 scholars most cited alongside Viktor S. Stroylov, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 175 | |
| 2 | 2014 | 50 | |
| 3 | 2020 | 43 | |
| 4 | 2012 | 37 | |
| 5 | 2011 | 27 | |
| 6 | 2017 | 23 | |
| 7 | 2011 | 22 | |
| 8 | 2009 | 20 | |
| 9 | 2009 | 15 | |
| 10 | 2020 | 15 | |
| 11 | 2021 | 14 | |
| 12 | 2020 | 13 | |
| 13 | 2020 | 12 | |
| 14 | 2020 | 11 | |
| 15 | 2010 | 10 | |
| 16 | 2012 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2011 | 7 | |
| 19 | 2011 | 7 | |
| 20 | 2017 | 7 |
About Viktor S. Stroylov
Viktor S. Stroylov is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Oncology and Materials Chemistry, having authored 33 papers that have together received 571 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (9 papers), PARP inhibition in cancer therapy (4 papers), Enzyme Structure and Function (4 papers), Alzheimer's disease research and treatments (3 papers), Integrated Circuits and Semiconductor Failure Analysis (3 papers), Synthesis and Biological Evaluation (3 papers) and Click Chemistry and Applications (2 papers). The work is most often cited by research in Computational Theory and Mathematics (157 citations), Toxicology (16 citations), Hematology (50 citations), Molecular Biology (286 citations) and Organic Chemistry (103 citations). Viktor S. Stroylov has collaborated with scholars based in Russia, France and Iran. Frequent co-authors include Fedor N. Novikov, Ghermes G. Chilov, Oleg V. Stroganov, Alexey A. Zeifman, Vladimir I. Muronetz, Maria V. Panova, Tatiana V. Rakitina, Thomas Haertlé, Alireza Rafiei and Аlexander А. Shtil. Their work appears in journals such as Journal of Molecular Modeling, Russian Chemical Reviews, Journal of Chemical Information and Modeling, Scientific Reports and Mendeleev Communications.
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.