Olga A. Cherepanova
- Molecular Biology top 10%
- Immunology top 5%
- Cancer Research top 5%
- Surgery
- Epidemiology
- Co-authors
- Gary K. OwensLaura S. ShankmanAlexandra NewmanGabriel F. AlencarRyan M. HaskinsDelphine GomezElizabeth S. GreeneBrant E. Isakson
- Topics
- Atherosclerosis and Cardiovascular Diseases (8 papers)Cell Adhesion Molecules Research (6 papers)Kruppel-like factors research (5 papers)
- Partner nations
- United StatesRussiaNorway
In The Last Decade
Olga A. Cherepanova
24 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Molecular Biology 905
- Immunology 635
- Cancer Research 334
- Surgery 209
- Epidemiology 178
Countries citing papers authored by Olga A. Cherepanova
This map shows the geographic impact of Olga A. Cherepanova'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 Olga A. Cherepanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga A. Cherepanova more than expected).
Fields of papers citing papers by Olga A. Cherepanova
This network shows the impact of papers produced by Olga A. Cherepanova. 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 Olga A. Cherepanova. The network helps show where Olga A. Cherepanova may publish in the future.
Co-authorship network of co-authors of Olga A. Cherepanova
This figure shows the co-authorship network connecting the top 25 collaborators of Olga A. Cherepanova. A scholar is included among the top collaborators of Olga A. Cherepanova 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 Olga A. Cherepanova. Olga A. Cherepanova 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 | 0 | |
| 3 | 17 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 18 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 14 | |
| 10 | 22 | |
| 11 | 100 | |
| 12 | 18 | |
| 13 | 20 | |
| 14 | 185 | |
| 15 | KLF4-dependent phenotypic modulation of smooth muscle cells has a key role in atherosclerotic plaque pathogenesisbreakdown → | 843 |
| 16 | 192 | |
| 17 | 5 | |
| 18 | 24 | |
| 19 | [Beta-1 and beta-4 integrins, and laminin 67 kDa receptors in interaction between A431 cells and laminin isoforms ]. | 2 |
| 20 | [Differences in the character of interaction of normal and transformed human keratinocytes with laminin isoforms]. | 2 |
About Olga A. Cherepanova
Olga A. Cherepanova is a scholar working on Immunology and Allergy, Immunology and Cell Biology, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (8 papers), Cell Adhesion Molecules Research (6 papers) and Kruppel-like factors research (5 papers). The work is most often cited by research in Immunology (635 citations), Immunology and Allergy (148 citations) and Cancer Research (334 citations). Olga A. Cherepanova has collaborated with scholars based in United States, Russia and Norway. Frequent co-authors include Gary K. Owens, Laura S. Shankman, Alexandra Newman, Gabriel F. Alencar, Ryan M. Haskins, Delphine Gomez, Elizabeth S. Greene, Brant E. Isakson, Pamela Swiatlowska and Morgan Salmon. Their work appears in journals such as Nature Medicine, The Journal of Immunology 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.