Deepa Waghray
Impact in
- Molecular Biology top 10%
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Receptor Mechanisms and Signaling
- Epigenetics and DNA Methylation
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- Neuropeptides and Animal Physiology
Papers in
- Oncology 8
- CAR-T cell therapy research 4
- Chemokine receptors and signaling 2
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- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 2
- Co-authors
- K. Christopher García (17 shared papers)Claudia Y. Janda (3 shared papers)Aron M. Levin (1 shared paper)Christoph Thomas (1 shared paper)Abhiram Dukkipati (3 shared papers)Kevin M. Jude (7 shared papers)John S. Burg (3 shared papers)Suzanne Fischer (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Protein Expression and Purification (2 papers)eLife (2 papers)Immunity (2 papers)Science (2 papers)
- Partner nations
- United StatesNetherlandsDenmark
In The Last Decade
Deepa Waghray
16 papers receiving 1.6k citations
Deepa Waghray's Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 274
- Immunology 268
- Oncology 324
- Structural Biology 15
Countries citing papers authored by Deepa Waghray
This map shows the geographic impact of Deepa Waghray'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 Deepa Waghray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepa Waghray more than expected).
Fields of papers citing papers by Deepa Waghray
This network shows the impact of papers produced by Deepa Waghray. 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 Deepa Waghray. The network helps show where Deepa Waghray may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepa Waghray, 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 | Structural Basis of Wnt Recognition by Frizzled Hit paper breakdown → | 2012 | 666 |
| 2 | 2015 | 242 | |
| 3 | 2013 | 172 | |
| 4 | 2008 | 117 | |
| 5 | 2014 | 101 | |
| 6 | 2020 | 100 | |
| 7 | 2018 | 46 | |
| 8 | 2023 | 34 | |
| 9 | 2021 | 28 | |
| 10 | 2023 | 28 | |
| 11 | 2022 | 23 | |
| 12 | 2006 | 9 | |
| 13 | 2024 | 6 | |
| 14 | 2025 | 5 | |
| 15 | Molecular architecture of the alpha beta T cell receptor-CD3 complex | 2014 | 3 |
| 16 | 2025 | 2 | |
| 17 | 2025 | 0 |
About Deepa Waghray
Deepa Waghray is a scholar working on Oncology, Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), CAR-T cell therapy research (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Immunotherapy and Immune Responses (2 papers), Chemokine receptors and signaling (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Cellular and Molecular Neuroscience (274 citations), Immunology (268 citations), Oncology (324 citations) and Structural Biology (15 citations). Deepa Waghray has collaborated with scholars based in United States, Netherlands and Denmark. Frequent co-authors include K. Christopher García, Claudia Y. Janda, Aron M. Levin, Christoph Thomas, Abhiram Dukkipati, Kevin M. Jude, John S. Burg, Suzanne Fischer, Hidde L. Ploegh and Jessica R. Ingram. Their work appears in journals such as Proceedings of the National Academy of Sciences, Protein Expression and Purification, eLife, Immunity and Science.
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.