Debottam Sinha
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer-related Molecular Pathways
Papers in
- Oncology 15
- Cancer-related Molecular Pathways 5
- CAR-T cell therapy research 4
- Cancer Treatment and Pharmacology 2
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- Ubiquitin and proteasome pathways 4
- Melanoma and MAPK Pathways 2
- Co-authors
- Kum Kum Khanna (13 shared papers)Murugan Kalimutho (12 shared papers)Pascal H. G. Duijf (3 shared papers)Sriganesh Srihari (5 shared papers)Jessie Jeffery (2 shared papers)Deepak Mittal (5 shared papers)Prahlad V. Raninga (6 shared papers)Amanda L. Bain (5 shared papers)
- Journals
- Annals of Oncology (3 papers)Journal of Clinical Oncology (2 papers)Journal for ImmunoTherapy of Cancer (2 papers)Molecular Oncology (1 paper)Trends in Molecular Medicine (1 paper)
- Partner nations
- AustraliaTaiwanUnited Kingdom
In The Last Decade
Debottam Sinha
27 papers receiving 771 citations
Peers
Comparison fields: 5 of 77
- Physiology 100
- Oncology 296
- Cancer Research 120
- Cell Biology 128
- Immunology 137
Countries citing papers authored by Debottam Sinha
This map shows the geographic impact of Debottam Sinha'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 Debottam Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debottam Sinha more than expected).
Fields of papers citing papers by Debottam Sinha
This network shows the impact of papers produced by Debottam Sinha. 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 Debottam Sinha. The network helps show where Debottam Sinha may publish in the future.
Co-authors
The 25 scholars most cited alongside Debottam Sinha, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 142 | |
| 2 | 2015 | 108 | |
| 3 | 2019 | 97 | |
| 4 | 2019 | 70 | |
| 5 | 2018 | 63 | |
| 6 | 2020 | 52 | |
| 7 | 2018 | 40 | |
| 8 | 2017 | 29 | |
| 9 | 2019 | 26 | |
| 10 | 2020 | 24 | |
| 11 | 1999 | 18 | |
| 12 | 2023 | 16 | |
| 13 | 2019 | 14 | |
| 14 | 2021 | 13 | |
| 15 | Carboplatin and paclitaxel, alone and in combination: dose escalation, measurement of renal function, and role of the p53 tumor suppressor gene. | 1999 | 13 |
| 16 | 1996 | 11 | |
| 17 | 2020 | 10 | |
| 18 | 1984 | 8 | |
| 19 | 1973 | 7 | |
| 20 | 2022 | 4 |
About Debottam Sinha
Debottam Sinha is a scholar working on Oncology, Molecular Biology, Cell Biology, Pulmonary and Respiratory Medicine and Reproductive Medicine, having authored 28 papers that have together received 783 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (5 papers), Cancer-related Molecular Pathways (5 papers), CAR-T cell therapy research (4 papers), Ubiquitin and proteasome pathways (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Cancer Treatment and Pharmacology (2 papers), Nanoplatforms for cancer theranostics (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Physiology (100 citations), Oncology (296 citations), Cancer Research (120 citations), Cell Biology (128 citations) and Immunology (137 citations). Debottam Sinha has collaborated with scholars based in Australia, Taiwan and United Kingdom. Frequent co-authors include Kum Kum Khanna, Murugan Kalimutho, Pascal H. G. Duijf, Sriganesh Srihari, Jessie Jeffery, Deepak Mittal, Prahlad V. Raninga, Amanda L. Bain, Mark J. Smyth and Franco Caramia. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Journal for ImmunoTherapy of Cancer, Molecular Oncology and Trends in Molecular 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.