J. E. Kravchenko
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
-
- RNA modifications and cancer 3
- DNA Repair Mechanisms 2
- Cell death mechanisms and regulation 2
- RNA Interference and Gene Delivery 2
- Oncology 8
- Cancer-related Molecular Pathways 5
- Co-authors
- Peter M. Chumakov (9 shared papers)G. V. Ilyinskaya (3 shared papers)Larissa S. Agapova (2 shared papers)Andrei V. Budanov (1 shared paper)Anna Sablina (1 shared paper)Ivan Olovnikov (1 shared paper)Д. В. Кочетков (2 shared papers)Elena I. Frolova (2 shared papers)
- Journals
- Oncogene (2 papers)Nature Medicine (1 paper)Nature (1 paper)The Journal of Urology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- RussiaUnited StatesIndia
In The Last Decade
J. E. Kravchenko
17 papers receiving 1.5k citations
J. E. Kravchenko's Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 339
- Oncology 554
- Aging 30
- Biotechnology 140
- Molecular Biology 1.0k
Countries citing papers authored by J. E. Kravchenko
This map shows the geographic impact of J. E. Kravchenko'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 J. E. Kravchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. E. Kravchenko more than expected).
Fields of papers citing papers by J. E. Kravchenko
This network shows the impact of papers produced by J. E. Kravchenko. 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 J. E. Kravchenko. The network helps show where J. E. Kravchenko may publish in the future.
Co-authors
The 25 scholars most cited alongside J. E. Kravchenko, 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 | The antioxidant function of the p53 tumor suppressor Hit paper breakdown → | 2005 | 957 |
| 2 | 2008 | 164 | |
| 3 | 2008 | 133 | |
| 4 | 2002 | 86 | |
| 5 | 2005 | 70 | |
| 6 | 2005 | 48 | |
| 7 | 2015 | 46 | |
| 8 | 2014 | 18 | |
| 9 | 2010 | 15 | |
| 10 | 2017 | 12 | |
| 11 | 2016 | 5 | |
| 12 | 2016 | 4 | |
| 13 | 2006 | 4 | |
| 14 | 2008 | 3 | |
| 15 | 2023 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2023 | 1 |
About J. E. Kravchenko
J. E. Kravchenko is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Biotechnology and Infectious Diseases, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer Research and Treatments (3 papers), RNA modifications and cancer (3 papers), DNA Repair Mechanisms (2 papers), Cell death mechanisms and regulation (2 papers), RNA Interference and Gene Delivery (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Cancer Research (339 citations), Oncology (554 citations), Aging (30 citations), Biotechnology (140 citations) and Molecular Biology (1.0k citations). J. E. Kravchenko has collaborated with scholars based in Russia, United States and India. Frequent co-authors include Peter M. Chumakov, G. V. Ilyinskaya, Larissa S. Agapova, Andrei V. Budanov, Anna Sablina, Ivan Olovnikov, Д. В. Кочетков, Elena I. Frolova, Elena Feinstein and Evguenia Strom. Their work appears in journals such as Oncogene, Nature Medicine, Nature, The Journal of Urology and Proceedings of the National Academy of Sciences.
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.