Sergey Apasov
- Physiology top 0.05%
- Immunology top 1%
- Molecular Biology top 10%
- Oncology top 5%
- Epidemiology top 10%
- Co-authors
- Michail V. SitkovskyM. KoshibaDmitriy LukashevAkio OhtaHidefumi KojimaSteve HuangCharles C. CaldwellPatrick Smith
- Topics
- Adenosine and Purinergic Signaling (23 papers)Immune Cell Function and Interaction (12 papers)Cytomegalovirus and herpesvirus research (6 papers)
- Cited by
- PhysiologyImmunologyNeurology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Sergey Apasov
29 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Physiology 2.1k
- Immunology 1.6k
- Molecular Biology 902
- Oncology 758
- Epidemiology 366
Countries citing papers authored by Sergey Apasov
This map shows the geographic impact of Sergey Apasov'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 Sergey Apasov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Apasov more than expected).
Fields of papers citing papers by Sergey Apasov
This network shows the impact of papers produced by Sergey Apasov. 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 Sergey Apasov. The network helps show where Sergey Apasov may publish in the future.
Co-authorship network of co-authors of Sergey Apasov
This figure shows the co-authorship network connecting the top 25 collaborators of Sergey Apasov. A scholar is included among the top collaborators of Sergey Apasov 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 Sergey Apasov. Sergey Apasov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | A2A adenosine receptor protects tumors from antitumor T cellsbreakdown → | 817 |
| 3 | 132 | |
| 4 | P | 597 |
| 5 | 64 | |
| 6 | 1 | |
| 7 | 336 | |
| 8 | 88 | |
| 9 | 70 | |
| 10 | 28 | |
| 11 | 52 | |
| 12 | 48 | |
| 13 | 34 | |
| 14 | 165 | |
| 15 | 73 | |
| 16 | 78 | |
| 17 | 36 | |
| 18 | 68 | |
| 19 | 38 | |
| 20 | 93 |
About Sergey Apasov
Sergey Apasov is a scholar working on Physiology, Immunology and Biological Psychiatry, having authored 29 papers that have together received 3.6k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (23 papers), Immune Cell Function and Interaction (12 papers) and Cytomegalovirus and herpesvirus research (6 papers). The work is most often cited by research in Physiology (2.1k citations), Immunology (1.6k citations) and Neurology (320 citations). Sergey Apasov has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Michail V. Sitkovsky, M. Koshiba, Dmitriy Lukashev, Akio Ohta, Hidefumi Kojima, Steve Huang, Charles C. Caldwell, Patrick Smith, Jiang‐Fan Chen and Manfred Thiel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.