Alexander V. Statsyuk
- Molecular Biology
- Organic Chemistry top 10%
- Oncology
- Computational Theory and Mathematics top 10%
- Epidemiology
- Co-authors
- Stefan G. KathmanHeeseon AnZiyang XuDavid T. KristSung Jin ParkIngrid SpanAmy C. RosenzweigAaron T. Smith
- Topics
- Ubiquitin and proteasome pathways (12 papers)Protein Degradation and Inhibitors (12 papers)Peptidase Inhibition and Analysis (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Alexander V. Statsyuk
24 papers receiving 643 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 535
- Organic Chemistry 215
- Oncology 175
- Computational Theory and Mathematics 65
- Epidemiology 62
Countries citing papers authored by Alexander V. Statsyuk
This map shows the geographic impact of Alexander V. Statsyuk'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 Alexander V. Statsyuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander V. Statsyuk more than expected).
Fields of papers citing papers by Alexander V. Statsyuk
This network shows the impact of papers produced by Alexander V. Statsyuk. 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 Alexander V. Statsyuk. The network helps show where Alexander V. Statsyuk may publish in the future.
Co-authorship network of co-authors of Alexander V. Statsyuk
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander V. Statsyuk. A scholar is included among the top collaborators of Alexander V. Statsyuk 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 Alexander V. Statsyuk. Alexander V. Statsyuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 18 | |
| 3 | 15 | |
| 4 | 7 | |
| 5 | 30 | |
| 6 | 4 | |
| 7 | 25 | |
| 8 | 24 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 17 | |
| 12 | 62 | |
| 13 | 15 | |
| 14 | 73 | |
| 15 | 41 | |
| 16 | 22 | |
| 17 | 26 | |
| 18 | 23 | |
| 19 | 6 | |
| 20 | 45 |
About Alexander V. Statsyuk
Alexander V. Statsyuk is a scholar working on Oncology, Molecular Biology and Organic Chemistry, having authored 24 papers that have together received 655 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (12 papers), Protein Degradation and Inhibitors (12 papers) and Peptidase Inhibition and Analysis (9 papers). The work is most often cited by research in Molecular Biology (535 citations), Organic Chemistry (215 citations) and Oncology (175 citations). Alexander V. Statsyuk has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Stefan G. Kathman, Heeseon An, Ziyang Xu, David T. Krist, Sung Jin Park, Ingrid Span, Amy C. Rosenzweig, Aaron T. Smith, Sarah E. Rice and Christoph Sotriffer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.