Sergey Sikora
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
-
- Ubiquitin and proteasome pathways 1
- Genetics 3
- Mesenchymal stem cell research 3
- Bacterial Genetics and Biotechnology 2
- Co-authors
- Stephen E. Epstein (6 shared papers)Alex Y. Strongin (5 shared papers)Michael J. Lipinski (2 shared papers)Adam Godzik (4 shared papers)Arshed A. Quyyumi (5 shared papers)Dror Luger (1 shared paper)Julien Dimastromatteo (1 shared paper)David K. Glover (1 shared paper)
- Journals
- Circulation Research (2 papers)Trends in Microbiology (1 paper)Circulation Cardiovascular Quality and Outcomes (1 paper)Journal of the American College of Cardiology (1 paper)Archives of Biochemistry and Biophysics (1 paper)
- Partner nations
- United StatesUnited KingdomGreece
In The Last Decade
Sergey Sikora
12 papers receiving 563 citations
Peers
Comparison fields: 5 of 70
- Genetics 158
- Virology 30
- Biomaterials 64
- Surgery 167
- Cancer Research 56
Countries citing papers authored by Sergey Sikora
This map shows the geographic impact of Sergey Sikora'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 Sikora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Sikora more than expected).
Fields of papers citing papers by Sergey Sikora
This network shows the impact of papers produced by Sergey Sikora. 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 Sikora. The network helps show where Sergey Sikora may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergey Sikora, 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 | 2016 | 135 | |
| 2 | 2017 | 132 | |
| 3 | 2005 | 78 | |
| 4 | 2013 | 71 | |
| 5 | 2004 | 55 | |
| 6 | 2017 | 26 | |
| 7 | 2005 | 21 | |
| 8 | 2004 | 14 | |
| 9 | 2017 | 11 | |
| 10 | 2004 | 10 | |
| 11 | 2005 | 8 | |
| 12 | 2015 | 6 |
About Sergey Sikora
Sergey Sikora is a scholar working on Molecular Biology, Genetics, Cancer Research, Hematology and Genetics, having authored 12 papers that have together received 567 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (3 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Protease and Inhibitor Mechanisms (2 papers), Bacterial Genetics and Biotechnology (2 papers), Blood properties and coagulation (1 paper), Ubiquitin and proteasome pathways (1 paper), Microbial Inactivation Methods (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Genetics (158 citations), Virology (30 citations), Biomaterials (64 citations), Surgery (167 citations) and Cancer Research (56 citations). Sergey Sikora has collaborated with scholars based in United States, United Kingdom and Greece. Frequent co-authors include Stephen E. Epstein, Alex Y. Strongin, Michael J. Lipinski, Adam Godzik, Arshed A. Quyyumi, Dror Luger, Julien Dimastromatteo, David K. Glover, M. Teresa Albelda and Juan C. Frías. Their work appears in journals such as Circulation Research, Trends in Microbiology, Circulation Cardiovascular Quality and Outcomes, Journal of the American College of Cardiology and Archives of Biochemistry and Biophysics.
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.