Prajna Guha
- Oncology top 5%
- CAR-T cell therapy research 13
- Cancer Immunotherapy and Biomarkers 6
- Immunology top 5%
- Immune cells in cancer 8
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 7
- Immune Response and Inflammation 6
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- Nanoplatforms for cancer theranostics 3
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- Cancer Research and Treatments 2
- Co-authors
- Steven C. KatzRichard P. JunghansN. Joseph EspatNeil P. RodriguesAshleigh S. BoydJohn MorganGustavo MostoslavskyMarissa Cunetta
- Cited by
- OncologyImmunologyMolecular Biology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Investigation (1 paper)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Prajna Guha
32 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 82
- Oncology 734
- Immunology 550
- Molecular Biology 631
- Genetics 154
- Genetics 57
Countries citing papers authored by Prajna Guha
This map shows the geographic impact of Prajna Guha'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 Prajna Guha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prajna Guha more than expected).
Fields of papers citing papers by Prajna Guha
This network shows the impact of papers produced by Prajna Guha. 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 Prajna Guha. The network helps show where Prajna Guha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Prajna Guha, 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 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 8 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 25 | |
| 8 | 2019 | 86 | |
| 9 | 2019 | 1 | |
| 10 | 2018 | 114 | |
| 11 | 2017 | 7 | |
| 12 | 2017 | 36 | |
| 13 | 2016 | 137 | |
| 14 | 2016 | 87 | |
| 15 | 2016 | 16 | |
| 16 | 2015 | 186 | |
| 17 | 2013 | 288 | |
| 18 | 2011 | 207 | |
| 19 | 2007 | 7 | |
| 20 | Prolactin and cortisol in hypoalbuminemia. | 1980 | 1 |
About Prajna Guha
Prajna Guha is a scholar working on Immunology, Oncology and Transplantation, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include CAR-T cell therapy research (13 papers), Immune cells in cancer (8 papers), Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Immune Response and Inflammation (6 papers), Nanoplatforms for cancer theranostics (3 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Oncology (734 citations), Immunology (550 citations) and Molecular Biology (631 citations). Prajna Guha has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Steven C. Katz, Richard P. Junghans, N. Joseph Espat, Neil P. Rodrigues, Ashleigh S. Boyd, John Morgan, Gustavo Mostoslavsky, Marissa Cunetta, Mitchell Thorn and Gary R. Point. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.
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.