Suhas Darekar
Impact in
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- Cancer, Hypoxia, and Metabolism
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- Viral-associated cancers and disorders
Papers in
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- Pluripotent Stem Cells Research 4
- Biochemical and Molecular Research 4
- CRISPR and Genetic Engineering 2
- Genomics and Chromatin Dynamics 2
- Genetics 6
- Virus-based gene therapy research 3
- Animal Genetics and Reproduction 2
- Co-authors
- Elena Kashuba (11 shared papers)George Klein (6 shared papers)Surya Pavan Yenamandra (4 shared papers)Maria Yurchenko (3 shared papers)Georgia Chachami (1 shared paper)George Simos (1 shared paper)Κωνσταντίνος Γεωργίου (1 shared paper)В. И. Кашуба (4 shared papers)
In The Last Decade
Suhas Darekar
15 papers receiving 264 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 61
- Oncology 59
- Molecular Biology 138
- Pathology and Forensic Medicine 33
- Immunology 40
Countries citing papers authored by Suhas Darekar
This map shows the geographic impact of Suhas Darekar'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 Suhas Darekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suhas Darekar more than expected).
Fields of papers citing papers by Suhas Darekar
This network shows the impact of papers produced by Suhas Darekar. 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 Suhas Darekar. The network helps show where Suhas Darekar may publish in the future.
Co-authors
The 25 scholars most cited alongside Suhas Darekar, 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 | 2012 | 78 | |
| 2 | 2010 | 35 | |
| 3 | 2015 | 29 | |
| 4 | 2016 | 21 | |
| 5 | 2020 | 20 | |
| 6 | 2009 | 20 | |
| 7 | 2021 | 16 | |
| 8 | 2012 | 14 | |
| 9 | 2015 | 14 | |
| 10 | 2012 | 8 | |
| 11 | Seroprevalence of caprine and ovine brucellosis in Mehsana and Patan districts of Gujarat. | 2006 | 4 |
| 12 | 2013 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2017 | 1 | |
| 16 | 2023 | 0 |
About Suhas Darekar
Suhas Darekar is a scholar working on Molecular Biology, Genetics, Epidemiology, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 269 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Biochemical and Molecular Research (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Virus-based gene therapy research (3 papers), CRISPR and Genetic Engineering (2 papers), Animal Genetics and Reproduction (2 papers), Genomics and Chromatin Dynamics (2 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Cancer Research (61 citations), Oncology (59 citations), Molecular Biology (138 citations), Pathology and Forensic Medicine (33 citations) and Immunology (40 citations). Suhas Darekar has collaborated with scholars based in Sweden, Ukraine and Norway. Frequent co-authors include Elena Kashuba, George Klein, Surya Pavan Yenamandra, Maria Yurchenko, Georgia Chachami, George Simos, Κωνσταντίνος Γεωργίου, В. И. Кашуба, Tom Sculley and Bettina Kempkes. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Oncotarget, iScience and Oxidative Medicine and Cellular Longevity.
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.