Deepa Patel
Impact in
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus
-
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
Papers in
- Oncology 7
- CAR-T cell therapy research 5
- Viral-associated cancers and disorders 2
- Co-authors
- Ries J. Langley (2 shared papers)John D. Fraser (2 shared papers)Bruce D. Wines (1 shared paper)D. H. LEWIS (1 shared paper)Kevin M. Davies (1 shared paper)Gayle Marshall (1 shared paper)Simon Deroles (1 shared paper)Murray R. Boase (1 shared paper)
- Journals
- Human Gene Therapy (2 papers)Journal of Reproductive Immunology (1 paper)The Journal of Experimental Medicine (1 paper)Critical Reviews in Immunology (1 paper)The Lancet Haematology (1 paper)
- Partner nations
- United StatesNew ZealandAustralia
In The Last Decade
Deepa Patel
18 papers receiving 492 citations
Deepa Patel's Hit Papers
Peers
Comparison fields: 5 of 74
- Infectious Diseases 136
- Immunology 135
- Virology 25
- Parasitology 30
- Biochemistry 27
Countries citing papers authored by Deepa Patel
This map shows the geographic impact of Deepa Patel'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 Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepa Patel more than expected).
Fields of papers citing papers by Deepa Patel
This network shows the impact of papers produced by Deepa Patel. 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 Patel. The network helps show where Deepa Patel may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepa Patel, 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 | 2010 | 74 | |
| 2 | 2004 | 64 | |
| 3 | 2010 | 61 | |
| 4 | 2016 | 57 | |
| 5 | Induced pluripotent stem-cell-derived CD19-directed chimeric antigen receptor natural killer cells in B-cell lymphoma: a phase 1, first-in-human trial Hit paper breakdown → | 2025 | 42 |
| 6 | 2010 | 37 | |
| 7 | 2018 | 28 | |
| 8 | 1998 | 21 | |
| 9 | 2006 | 20 | |
| 10 | 2014 | 20 | |
| 11 | 2013 | 17 | |
| 12 | 2007 | 16 | |
| 13 | 2013 | 14 | |
| 14 | 2008 | 9 | |
| 15 | 2015 | 8 | |
| 16 | 2003 | 7 | |
| 17 | 2024 | 5 | |
| 18 | 2025 | 2 |
About Deepa Patel
Deepa Patel is a scholar working on Molecular Biology, Oncology, Immunology, Infectious Diseases and Genetics, having authored 18 papers that have together received 502 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Viral-associated cancers and disorders (2 papers), Virus-based gene therapy research (2 papers), T-cell and B-cell Immunology (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Infectious Diseases (136 citations), Immunology (135 citations), Virology (25 citations), Parasitology (30 citations) and Biochemistry (27 citations). Deepa Patel has collaborated with scholars based in United States, New Zealand and Australia. Frequent co-authors include Ries J. Langley, John D. Fraser, Bruce D. Wines, D. H. LEWIS, Kevin M. Davies, Gayle Marshall, Simon Deroles, Murray R. Boase, Kathy E. Schwinn and Fiona Clow. Their work appears in journals such as Human Gene Therapy, Journal of Reproductive Immunology, The Journal of Experimental Medicine, Critical Reviews in Immunology and The Lancet Haematology.
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.