Alla Verlinsky
Impact in
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- Alcohol Consumption and Health Effects
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- Cancer Cells and Metastasis
Papers in
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- Protein purification and stability 1
- Ubiquitin and proteasome pathways 1
- 14-3-3 protein interactions 1
- Cancer therapeutics and mechanisms 1
- Oncology 5
- Pancreatic and Hepatic Oncology Research 1
- Co-authors
- Hidekazu Tsukamoto (1 shared paper)Cheng Ji (1 shared paper)Keane K. Y. Lai (1 shared paper)Aurelia Lugea (1 shared paper)Samuel W. French (1 shared paper)Marcus P. Cooper (1 shared paper)Jun Xu (1 shared paper)David R. Stover (6 shared papers)
- Journals
- Cancer Research (3 papers)Journal of Hepatology (1 paper)Journal of Pharmaceutical Sciences (1 paper)Neoplasia (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Alla Verlinsky
9 papers receiving 364 citations
Peers
Comparison fields: 5 of 65
- Pathology and Forensic Medicine 73
- Oncology 101
- Endocrinology, Diabetes and Metabolism 46
- Immunology and Allergy 16
- Cancer Research 38
Countries citing papers authored by Alla Verlinsky
This map shows the geographic impact of Alla Verlinsky'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 Alla Verlinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alla Verlinsky more than expected).
Fields of papers citing papers by Alla Verlinsky
This network shows the impact of papers produced by Alla Verlinsky. 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 Alla Verlinsky. The network helps show where Alla Verlinsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Alla Verlinsky, 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 | 2011 | 126 | |
| 2 | 2013 | 74 | |
| 3 | 2016 | 55 | |
| 4 | 2020 | 33 | |
| 5 | 2016 | 29 | |
| 6 | 2019 | 25 | |
| 7 | 2014 | 23 | |
| 8 | 2014 | 1 | |
| 9 | 2012 | 1 |
About Alla Verlinsky
Alla Verlinsky is a scholar working on Molecular Biology, Oncology, Biotechnology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 367 indexed citations. Recurring topics across this work include Cancer Research and Treatments (2 papers), Protein purification and stability (1 paper), Cancer Genomics and Diagnostics (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Ubiquitin and proteasome pathways (1 paper), 14-3-3 protein interactions (1 paper), Biosimilars and Bioanalytical Methods (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (73 citations), Oncology (101 citations), Endocrinology, Diabetes and Metabolism (46 citations), Immunology and Allergy (16 citations) and Cancer Research (38 citations). Alla Verlinsky has collaborated with scholars based in United States and Japan. Frequent co-authors include Hidekazu Tsukamoto, Cheng Ji, Keane K. Y. Lai, Aurelia Lugea, Samuel W. French, Marcus P. Cooper, Jun Xu, David R. Stover, Ingrid B.J. Joseph and Zili An. Their work appears in journals such as Cancer Research, Journal of Hepatology, Journal of Pharmaceutical Sciences, Neoplasia and Molecular Cancer Therapeutics.
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.