Lev M. Berstein
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 2%
- Breast Cancer Treatment Studies
Papers in
- Co-authors
- Irina G. Kovalenko (12 shared papers)Richard J. Santen (12 shared papers)Vladimir Nikolaevich Anisimov (7 shared papers)Irina G. Popovich (7 shared papers)Mark A. Zabezhinski (6 shared papers)Peter A. Egormin (5 shared papers)Anna V. Semenchenko (5 shared papers)Tatiana S. Piskunova (4 shared papers)
- Journals
- Future Oncology (9 papers)The Journal of Steroid Biochemistry and Molecular Biology (8 papers)Cancer Letters (6 papers)Endocrine Related Cancer (4 papers)Aging (3 papers)
- Partner nations
- RussiaUnited StatesNetherlands
In The Last Decade
Lev M. Berstein
94 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 111
- Aging 345
- Cancer Research 811
- Geriatrics and Gerontology 112
- Oncology 853
- Genetics 888
Countries citing papers authored by Lev M. Berstein
This map shows the geographic impact of Lev M. Berstein'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 Lev M. Berstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lev M. Berstein more than expected).
Fields of papers citing papers by Lev M. Berstein
This network shows the impact of papers produced by Lev M. Berstein. 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 Lev M. Berstein. The network helps show where Lev M. Berstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Lev M. Berstein, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 354 | |
| 2 | 2008 | 288 | |
| 3 | 2007 | 258 | |
| 4 | 2011 | 244 | |
| 5 | 2000 | 229 | |
| 6 | 2015 | 171 | |
| 7 | 2010 | 110 | |
| 8 | 2005 | 106 | |
| 9 | 2016 | 99 | |
| 10 | 1989 | 95 | |
| 11 | 2012 | 72 | |
| 12 | 2003 | 70 | |
| 13 | 1999 | 69 | |
| 14 | 2005 | 67 | |
| 15 | 2015 | 66 | |
| 16 | 2002 | 65 | |
| 17 | 2004 | 63 | |
| 18 | 2004 | 55 | |
| 19 | 2015 | 53 | |
| 20 | 2016 | 52 |
About Lev M. Berstein
Lev M. Berstein is a scholar working on Oncology, Genetics, Obstetrics and Gynecology, Cancer Research and Molecular Biology, having authored 100 papers that have together received 3.7k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (36 papers), Cancer Risks and Factors (28 papers), Metabolism, Diabetes, and Cancer (26 papers), Endometrial and Cervical Cancer Treatments (10 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Cancer-related Molecular Pathways (6 papers), Pancreatic function and diabetes (5 papers) and Effects and risks of endocrine disrupting chemicals (5 papers). The work is most often cited by research in Aging (345 citations), Cancer Research (811 citations), Geriatrics and Gerontology (112 citations), Oncology (853 citations) and Genetics (888 citations). Lev M. Berstein has collaborated with scholars based in Russia, United States and Netherlands. Frequent co-authors include Irina G. Kovalenko, Richard J. Santen, Vladimir Nikolaevich Anisimov, Irina G. Popovich, Mark A. Zabezhinski, Peter A. Egormin, Anna V. Semenchenko, Tatiana S. Piskunova, Evgenia V. Tsyrlina and Маргарита Леонидовна Тындык. Their work appears in journals such as Future Oncology, The Journal of Steroid Biochemistry and Molecular Biology, Cancer Letters, Endocrine Related Cancer and Aging.
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.