Daniil Polykovskiy
Impact in
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- Computational Drug Discovery Methods
- Health Informatics top 10%
Papers in
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- Computational Drug Discovery Methods 8
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- Viral Infectious Diseases and Gene Expression in Insects 1
- Genetics, Bioinformatics, and Biomedical Research 1
- Co-authors
- Alex Zhavoronkov (8 shared papers)Alex Aliper (7 shared papers)Yan A. Ivanenkov (2 shared papers)Vladimir Aladinskiy (2 shared papers)Alexander Zhebrak (4 shared papers)Petrina Kamya (4 shared papers)Feng Ren (4 shared papers)Artur Kadurin (3 shared papers)
- Journals
- Journal of Chemical Information and Modeling (3 papers)Molecular Pharmaceutics (2 papers)Drug Discovery Today (1 paper)Clinical Pharmacology & Therapeutics (1 paper)Frontiers in Pharmacology (1 paper)
- Partner nations
- RussiaUnited StatesHong Kong
In The Last Decade
Daniil Polykovskiy
13 papers receiving 608 citations
Daniil Polykovskiy's Hit Papers
Peers
Comparison fields: 5 of 112
- Computational Theory and Mathematics 353
- Health Informatics 18
- Biophysics 41
- Materials Chemistry 239
- Aging 8
Countries citing papers authored by Daniil Polykovskiy
This map shows the geographic impact of Daniil Polykovskiy'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 Daniil Polykovskiy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniil Polykovskiy more than expected).
Fields of papers citing papers by Daniil Polykovskiy
This network shows the impact of papers produced by Daniil Polykovskiy. 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 Daniil Polykovskiy. The network helps show where Daniil Polykovskiy may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniil Polykovskiy, 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 | 2018 | 184 | |
| 2 | Chemistry42: An AI-Driven Platform for Molecular Design and Optimization Hit paper breakdown → | 2023 | 124 |
| 3 | PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery Hit paper breakdown → | 2024 | 77 |
| 4 | 2018 | 70 | |
| 5 | 2023 | 54 | |
| 6 | 2023 | 46 | |
| 7 | 2021 | 29 | |
| 8 | 2020 | 29 | |
| 9 | 2024 | 26 | |
| 10 | 2025 | 5 | |
| 11 | Extracting Invariant Features From Images Using An Equivariant Autoencoder. | 2018 | 3 |
| 12 | 2024 | 2 | |
| 13 | 2025 | 1 | |
| 14 | Concorde: Morphological Agreement in Conversational Models | 2018 | 0 |
About Daniil Polykovskiy
Daniil Polykovskiy is a scholar working on Computational Theory and Mathematics, Molecular Biology, Materials Chemistry, Artificial Intelligence and Pharmacology, having authored 14 papers that have together received 650 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Machine Learning in Materials Science (6 papers), Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers), Microbial Natural Products and Biosynthesis (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Computational Theory and Mathematics (353 citations), Health Informatics (18 citations), Biophysics (41 citations), Materials Chemistry (239 citations) and Aging (8 citations). Daniil Polykovskiy has collaborated with scholars based in Russia, United States and Hong Kong. Frequent co-authors include Alex Zhavoronkov, Alex Aliper, Yan A. Ivanenkov, Vladimir Aladinskiy, Alexander Zhebrak, Petrina Kamya, Feng Ren, Artur Kadurin, Alexander Aliper and Maksim Kuznetsov. Their work appears in journals such as Journal of Chemical Information and Modeling, Molecular Pharmaceutics, Drug Discovery Today, Clinical Pharmacology & Therapeutics and Frontiers in Pharmacology.
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.