Deepika Watts
Impact in
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- Cancer, Hypoxia, and Metabolism
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
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- Cancer, Hypoxia, and Metabolism 7
- Co-authors
- Ben Wielockx (11 shared papers)Amy Patel (1 shared paper)Sundary Sormendi (3 shared papers)Diego A. Rodríguez (3 shared papers)Karsten Kretschmer (4 shared papers)Martina Rauner (2 shared papers)Cathleen Petzold (3 shared papers)David Hoogewijs (1 shared paper)
- Journals
- International Journal of Molecular Sciences (3 papers)Frontiers in Immunology (2 papers)Hormone and Metabolic Research (1 paper)Hypertension (1 paper)Journal of Molecular Medicine (1 paper)
- Partner nations
- GermanyUnited StatesIsrael
In The Last Decade
Deepika Watts
17 papers receiving 382 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 94
- Immunology 92
- Biochemistry 27
- Physiology 79
- Endocrinology, Diabetes and Metabolism 47
Countries citing papers authored by Deepika Watts
This map shows the geographic impact of Deepika Watts'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 Deepika Watts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepika Watts more than expected).
Fields of papers citing papers by Deepika Watts
This network shows the impact of papers produced by Deepika Watts. 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 Deepika Watts. The network helps show where Deepika Watts may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepika Watts, 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 | 1993 | 80 | |
| 2 | 2021 | 46 | |
| 3 | 2020 | 44 | |
| 4 | 2018 | 34 | |
| 5 | 2014 | 34 | |
| 6 | 2013 | 26 | |
| 7 | 2021 | 24 | |
| 8 | 2021 | 22 | |
| 9 | 2021 | 17 | |
| 10 | 2021 | 15 | |
| 11 | 2023 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 10 | |
| 14 | 2022 | 7 | |
| 15 | Growth hormone-like factor produced by the tapeworm, Spirometra mansonoides, displaces human growth hormone (hGH) from its receptors on cultured human lymphocytes | 1986 | 3 |
| 16 | 2023 | 2 | |
| 17 | 2025 | 1 |
About Deepika Watts
Deepika Watts is a scholar working on Cancer Research, Molecular Biology, Endocrinology, Diabetes and Metabolism, Immunology and Hematology, having authored 17 papers that have together received 386 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (7 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Erythropoietin and Anemia Treatment (3 papers), Hormonal Regulation and Hypertension (3 papers), Diabetes and associated disorders (2 papers), Immunotherapy and Immune Responses (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Cancer Research (94 citations), Immunology (92 citations), Biochemistry (27 citations), Physiology (79 citations) and Endocrinology, Diabetes and Metabolism (47 citations). Deepika Watts has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Ben Wielockx, Amy Patel, Sundary Sormendi, Diego A. Rodríguez, Karsten Kretschmer, Martina Rauner, Cathleen Petzold, David Hoogewijs, Nicole Bechmann and Triantafyllos Chavakis. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Immunology, Hormone and Metabolic Research, Hypertension and Journal of 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.