Anna Sablina
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Oncology top 2%
- Cancer-related Molecular Pathways
Papers in
-
- Ubiquitin and proteasome pathways 19
- RNA modifications and cancer 7
- DNA Repair Mechanisms 6
- Epigenetics and DNA Methylation 5
- PI3K/AKT/mTOR signaling in cancer 5
- Protein Tyrosine Phosphatases 4
- Oncology 19
- Cancer-related Molecular Pathways 15
- Co-authors
- Peter M. Chumakov (9 shared papers)Andrei V. Budanov (2 shared papers)Larissa S. Agapova (4 shared papers)G. V. Ilyinskaya (2 shared papers)J. E. Kravchenko (1 shared paper)William C. Hahn (7 shared papers)Eugene V. Koonin (1 shared paper)Elena Feinstein (1 shared paper)
- Journals
- Cancer Research (7 papers)Oncogene (3 papers)Nature Communications (2 papers)Oncotarget (2 papers)Cell Death and Differentiation (1 paper)
- Partner nations
- BelgiumUnited StatesRussia
In The Last Decade
Anna Sablina
51 papers receiving 3.7k citations
Anna Sablina's Hit Papers
Peers
Comparison fields: 5 of 110
- Cancer Research 657
- Oncology 1.1k
- Molecular Biology 2.6k
- Aging 58
- Cell Biology 455
Countries citing papers authored by Anna Sablina
This map shows the geographic impact of Anna Sablina'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 Anna Sablina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Sablina more than expected).
Fields of papers citing papers by Anna Sablina
This network shows the impact of papers produced by Anna Sablina. 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 Anna Sablina. The network helps show where Anna Sablina may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Sablina, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The antioxidant function of the p53 tumor suppressor Hit paper breakdown → | 2005 | 957 |
| 2 | Regeneration of Peroxiredoxins by p53-Regulated Sestrins, Homologs of Bacterial AhpD Hit paper breakdown → | 2004 | 639 |
| 3 | 2007 | 168 | |
| 4 | 2010 | 152 | |
| 5 | 2016 | 131 | |
| 6 | 2012 | 105 | |
| 7 | 2007 | 105 | |
| 8 | 2014 | 102 | |
| 9 | 2012 | 98 | |
| 10 | 2016 | 89 | |
| 11 | 2016 | 85 | |
| 12 | 2009 | 82 | |
| 13 | 2013 | 79 | |
| 14 | 2008 | 77 | |
| 15 | 1998 | 57 | |
| 16 | 2001 | 55 | |
| 17 | 2011 | 53 | |
| 18 | 2014 | 53 | |
| 19 | 2002 | 48 | |
| 20 | 2017 | 43 |
About Anna Sablina
Anna Sablina is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Immunology, having authored 51 papers that have together received 3.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (19 papers), Cancer-related Molecular Pathways (15 papers), RNA modifications and cancer (7 papers), DNA Repair Mechanisms (6 papers), Microtubule and mitosis dynamics (6 papers), Epigenetics and DNA Methylation (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Protein Tyrosine Phosphatases (4 papers). The work is most often cited by research in Cancer Research (657 citations), Oncology (1.1k citations), Molecular Biology (2.6k citations), Aging (58 citations) and Cell Biology (455 citations). Anna Sablina has collaborated with scholars based in Belgium, United States and Russia. Frequent co-authors include Peter M. Chumakov, Andrei V. Budanov, Larissa S. Agapova, G. V. Ilyinskaya, J. E. Kravchenko, William C. Hahn, Eugene V. Koonin, Elena Feinstein, Melissa Hector-Greene and Peter Kalev. Their work appears in journals such as Cancer Research, Oncogene, Nature Communications, Oncotarget and Cell Death and Differentiation.
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.