Olga Chernova
Impact in
Papers in
-
- DNA Repair Mechanisms 6
- Epigenetics and DNA Methylation 6
- Genomics and Chromatin Dynamics 5
- RNA modifications and cancer 4
- Biochemical and Molecular Research 3
- Oncology 16
- Cancer-related Molecular Pathways 12
- Co-authors
- George R. Stark (8 shared papers)Munna L. Agarwal (6 shared papers)William R. Taylor (2 shared papers)Andrei V. Gudkov (13 shared papers)John K. Cowell (11 shared papers)Gene H. Barnett (5 shared papers)Evguenia Strom (6 shared papers)Robert Somerville (3 shared papers)
- Journals
- Aging (5 papers)Proceedings of the National Academy of Sciences (4 papers)Oncogene (3 papers)Gene (1 paper)Genes Chromosomes and Cancer (1 paper)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Olga Chernova
42 papers receiving 3.6k citations
Olga Chernova's Hit Papers
Peers
Comparison fields: 5 of 120
- Aging 217
- Oncology 1.1k
- Cancer Research 514
- Molecular Biology 2.0k
- Physiology 636
Countries citing papers authored by Olga Chernova
This map shows the geographic impact of Olga Chernova'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 Chernova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga Chernova more than expected).
Fields of papers citing papers by Olga Chernova
This network shows the impact of papers produced by Olga Chernova. 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 Chernova. The network helps show where Olga Chernova may publish in the future.
Co-authors
The 25 scholars most cited alongside Olga Chernova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The p53 Network Hit paper breakdown → | 1998 | 644 |
| 2 | 2002 | 318 | |
| 3 | 2017 | 297 | |
| 4 | 2004 | 294 | |
| 5 | 2016 | 280 | |
| 6 | 2006 | 278 | |
| 7 | 1996 | 158 | |
| 8 | 1998 | 153 | |
| 9 | 2012 | 121 | |
| 10 | 2017 | 108 | |
| 11 | 1998 | 96 | |
| 12 | 2012 | 96 | |
| 13 | 2000 | 77 | |
| 14 | 1998 | 60 | |
| 15 | 1995 | 57 | |
| 16 | 1998 | 54 | |
| 17 | 2017 | 48 | |
| 18 | 2001 | 44 | |
| 19 | 2002 | 44 | |
| 20 | 1997 | 39 |
About Olga Chernova
Olga Chernova is a scholar working on Molecular Biology, Oncology, Immunology, Cell Biology and Physiology, having authored 42 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (12 papers), DNA Repair Mechanisms (6 papers), Epigenetics and DNA Methylation (6 papers), Genomics and Chromatin Dynamics (5 papers), Immune cells in cancer (4 papers), Telomeres, Telomerase, and Senescence (4 papers), RNA modifications and cancer (4 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Aging (217 citations), Oncology (1.1k citations), Cancer Research (514 citations), Molecular Biology (2.0k citations) and Physiology (636 citations). Olga Chernova has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include George R. Stark, Munna L. Agarwal, William R. Taylor, Andrei V. Gudkov, John K. Cowell, Gene H. Barnett, Evguenia Strom, Robert Somerville, Anatoli S. Gleiberman and Michael A. Vogelbaum. Their work appears in journals such as Aging, Proceedings of the National Academy of Sciences, Oncogene, Gene and Genes Chromosomes and Cancer.
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.