Alexei Y. Savinov
- Genetics top 5%
- Molecular Biology
- Oncology top 5%
- Immunology top 5%
- Cancer Research top 5%
- Co-authors
- Alex Y. StronginAlexander V. ChervonskyF. Susan WongDmitri V. RozanovVladislav S. GolubkovWei YueAngela BrodieAlbert G. Remacle
- Topics
- Diabetes and associated disorders (14 papers)Peptidase Inhibition and Analysis (13 papers)Protease and Inhibitor Mechanisms (13 papers)
- Cited by
- Cancer ResearchGeneticsImmunology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Alexei Y. Savinov
45 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 100
- Genetics 687
- Molecular Biology 667
- Oncology 518
- Immunology 437
- Cancer Research 419
Countries citing papers authored by Alexei Y. Savinov
This map shows the geographic impact of Alexei Y. Savinov'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 Alexei Y. Savinov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexei Y. Savinov more than expected).
Fields of papers citing papers by Alexei Y. Savinov
This network shows the impact of papers produced by Alexei Y. Savinov. 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 Alexei Y. Savinov. The network helps show where Alexei Y. Savinov may publish in the future.
Co-authorship network of co-authors of Alexei Y. Savinov
This figure shows the co-authorship network connecting the top 25 collaborators of Alexei Y. Savinov. A scholar is included among the top collaborators of Alexei Y. Savinov 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 Alexei Y. Savinov. Alexei Y. Savinov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 8 | |
| 3 | 38 | |
| 4 | 7 | |
| 5 | 7 | |
| 6 | 14 | |
| 7 | 41 | |
| 8 | 82 | |
| 9 | 11 | |
| 10 | 54 | |
| 11 | 48 | |
| 12 | 82 | |
| 13 | 49 | |
| 14 | 81 | |
| 15 | 8 | |
| 16 | 36 | |
| 17 | 82 | |
| 18 | 175 | |
| 19 | 85 | |
| 20 | 152 |
About Alexei Y. Savinov
Alexei Y. Savinov is a scholar working on Cancer Research, Genetics and Oncology, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes and associated disorders (14 papers), Peptidase Inhibition and Analysis (13 papers) and Protease and Inhibitor Mechanisms (13 papers). The work is most often cited by research in Cancer Research (419 citations), Genetics (687 citations) and Immunology (437 citations). Alexei Y. Savinov has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Alex Y. Strongin, Alexander V. Chervonsky, F. Susan Wong, Dmitri V. Rozanov, Vladislav S. Golubkov, Wei Yue, Angela Brodie, Albert G. Remacle, Ilian Radichev and Jeffrey W. Smith. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.