Anna Azvolinsky
Impact in
- Hepatology top 10%
- Hepatitis C virus research
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- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- DNA and Nucleic Acid Chemistry
Papers in
- Oncology 14
- Cancer Cells and Metastasis 2
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- CRISPR and Genetic Engineering 4
- DNA Repair Mechanisms 3
- Co-authors
- Virginia A. Zakian (2 shared papers)Jason D. Lieb (1 shared paper)Paul G. Giresi (1 shared paper)Jorge Z. Torres (1 shared paper)Stephen Dunaway (1 shared paper)Jessica B. Bessler (1 shared paper)Severin O. Gudima (1 shared paper)John M. Taylor (1 shared paper)
- Journals
- JNCI Journal of the National Cancer Institute (21 papers)Nature Medicine (7 papers)Nature Biotechnology (7 papers)Molecular Cell (2 papers)Genes & Development (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Anna Azvolinsky
52 papers receiving 770 citations
Peers
Comparison fields: 5 of 81
- Hepatology 73
- Molecular Biology 584
- Cell Biology 89
- Cancer Research 70
- Aging 7
Countries citing papers authored by Anna Azvolinsky
This map shows the geographic impact of Anna Azvolinsky'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 Azvolinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Azvolinsky more than expected).
Fields of papers citing papers by Anna Azvolinsky
This network shows the impact of papers produced by Anna Azvolinsky. 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 Azvolinsky. The network helps show where Anna Azvolinsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Azvolinsky, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 233 | |
| 2 | 2006 | 138 | |
| 3 | 2010 | 118 | |
| 4 | 2002 | 78 | |
| 5 | 2007 | 35 | |
| 6 | 2014 | 21 | |
| 7 | 2015 | 18 | |
| 8 | 2014 | 17 | |
| 9 | 2014 | 15 | |
| 10 | 2013 | 13 | |
| 11 | 2013 | 7 | |
| 12 | 2017 | 6 | |
| 13 | 2016 | 6 | |
| 14 | 2013 | 6 | |
| 15 | 2015 | 6 | |
| 16 | 2013 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2016 | 3 | |
| 19 | 2012 | 3 | |
| 20 | 2014 | 3 |
About Anna Azvolinsky
Anna Azvolinsky is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Physiology, having authored 55 papers that have together received 781 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (5 papers), CRISPR and Genetic Engineering (4 papers), DNA Repair Mechanisms (3 papers), Cervical Cancer and HPV Research (3 papers), Palliative Care and End-of-Life Issues (3 papers), Biomedical Ethics and Regulation (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Hepatology (73 citations), Molecular Biology (584 citations), Cell Biology (89 citations), Cancer Research (70 citations) and Aging (7 citations). Anna Azvolinsky has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Virginia A. Zakian, Jason D. Lieb, Paul G. Giresi, Jorge Z. Torres, Stephen Dunaway, Jessica B. Bessler, Severin O. Gudima, John M. Taylor, Jinhong Chang and Gloria Moraleda. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Nature Medicine, Nature Biotechnology, Molecular Cell and Genes & Development.
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.