Tania Benatar
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
-
- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 6
- Cancer, Hypoxia, and Metabolism 5
- Immunology 12
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 4
- Co-authors
- Arun SethYutaka AmemiyaMichael J. H. RatcliffeWen‐Yi YangValentina EvdokimovaRobert K. NamPeter W. ZandstraSowmya Viswanathan
- Journals
- Cancer Research (4 papers)Cancer Immunology Immunotherapy (3 papers)The Prostate (2 papers)Anticancer Research (2 papers)The Journal of Experimental Medicine (2 papers)
- Partner nations
- CanadaUnited StatesRussia
In The Last Decade
Tania Benatar
29 papers receiving 881 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 260
- Immunology 289
- Molecular Biology 465
- Oncology 174
- Endocrinology, Diabetes and Metabolism 95
Countries citing papers authored by Tania Benatar
This map shows the geographic impact of Tania Benatar'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 Tania Benatar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tania Benatar more than expected).
Fields of papers citing papers by Tania Benatar
This network shows the impact of papers produced by Tania Benatar. 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 Tania Benatar. The network helps show where Tania Benatar may publish in the future.
Co-authors
The 25 scholars most cited alongside Tania Benatar, 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 16 | |
| 5 | 2020 | 14 | |
| 6 | 2018 | 15 | |
| 7 | 2018 | 1 | |
| 8 | 2016 | 66 | |
| 9 | 2015 | 28 | |
| 10 | 2011 | 74 | |
| 11 | 2010 | 31 | |
| 12 | 2009 | 83 | |
| 13 | 2008 | 43 | |
| 14 | 2007 | 9 | |
| 15 | 2005 | 11 | |
| 16 | 2003 | 42 | |
| 17 | 1996 | 78 | |
| 18 | 1993 | 11 | |
| 19 | 1993 | 13 | |
| 20 | 1991 | 27 |
About Tania Benatar
Tania Benatar is a scholar working on Cancer Research, Immunology, Endocrinology, Diabetes and Metabolism, Dermatology and Oncology, having authored 29 papers that have together received 897 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Circular RNAs in diseases (5 papers), CAR-T cell therapy research (4 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). The work is most often cited by research in Cancer Research (260 citations), Immunology (289 citations), Molecular Biology (465 citations), Oncology (174 citations) and Endocrinology, Diabetes and Metabolism (95 citations). Tania Benatar has collaborated with scholars based in Canada, United States and Russia. Frequent co-authors include Arun Seth, Yutaka Amemiya, Michael J. H. Ratcliffe, Wen‐Yi Yang, Valentina Evdokimova, Robert K. Nam, Peter W. Zandstra, Sowmya Viswanathan, Christopher J.D. Wallis and Christopher Sherman. Their work appears in journals such as Cancer Research, Cancer Immunology Immunotherapy, The Prostate, Anticancer Research and The Journal of Experimental Medicine.
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.