Dzmitry Padhorny
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Immunology top 10%
- Infectious Diseases top 5%
- Epidemiology
- Co-authors
- Dima KozakovSándor VajdaDavid R. HallKathryn A. PorterChristine YuehDmitri BeglovBing XiaSergei Kotelnikov
- Topics
- Protein Structure and Dynamics (15 papers)Computational Drug Discovery Methods (8 papers)Enzyme Structure and Function (8 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Molecular Biology
- Partner nations
- United StatesRussiaAustria
In The Last Decade
Dzmitry Padhorny
19 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 1.8k
- Radiology, Nuclear Medicine and Imaging 381
- Immunology 374
- Infectious Diseases 349
- Epidemiology 244
Countries citing papers authored by Dzmitry Padhorny
This map shows the geographic impact of Dzmitry Padhorny'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 Dzmitry Padhorny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dzmitry Padhorny more than expected).
Fields of papers citing papers by Dzmitry Padhorny
This network shows the impact of papers produced by Dzmitry Padhorny. 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 Dzmitry Padhorny. The network helps show where Dzmitry Padhorny may publish in the future.
Co-authorship network of co-authors of Dzmitry Padhorny
This figure shows the co-authorship network connecting the top 25 collaborators of Dzmitry Padhorny. A scholar is included among the top collaborators of Dzmitry Padhorny based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dzmitry Padhorny. Dzmitry Padhorny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 48 | |
| 7 | 29 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 12 | |
| 12 | 7 | |
| 13 | 15 | |
| 14 | 2 | |
| 15 | 10 | |
| 16 | 11 | |
| 17 | The ClusPro web server for protein–protein dockingbreakdown → | 2162 |
| 18 | 44 | |
| 19 | 34 | |
| 20 | 1 |
About Dzmitry Padhorny
Dzmitry Padhorny is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry, having authored 20 papers that have together received 2.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (15 papers), Computational Drug Discovery Methods (8 papers) and Enzyme Structure and Function (8 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Infectious Diseases (349 citations) and Biotechnology (158 citations). Dzmitry Padhorny has collaborated with scholars based in United States, Russia and Austria. Frequent co-authors include Dima Kozakov, Sándor Vajda, David R. Hall, Kathryn A. Porter, Christine Yueh, Dmitri Beglov, Bing Xia, Sergei Kotelnikov, Sadhna Phanse and Andrew Emili. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Molecular Biology.
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.