Suprit Gupta
Impact in
- Physiology top 5%
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Extracellular vesicles in disease 1
- Oncology 5
- Co-authors
- Rushika M. Perera (3 shared papers)Kwun Wah Wen (2 shared papers)Grace Kim (2 shared papers)Alec C. Kimmelman (1 shared paper)Jayanta Debnath (1 shared paper)Elaine Y. Lin (1 shared paper)Subhadip Mukhopadhyay (1 shared paper)Keisuke Yamamoto (1 shared paper)
- Journals
- Cancer Letters (2 papers)Developmental Cell (1 paper)Journal of Clinical Oncology (1 paper)Nature (1 paper)Genes & Cancer (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Suprit Gupta
12 papers receiving 1.2k citations
Suprit Gupta's Hit Papers
Peers
Comparison fields: 5 of 83
- Physiology 90
- Immunology 369
- Oncology 421
- Cancer Research 190
- Epidemiology 338
Countries citing papers authored by Suprit Gupta
This map shows the geographic impact of Suprit Gupta'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 Suprit Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suprit Gupta more than expected).
Fields of papers citing papers by Suprit Gupta
This network shows the impact of papers produced by Suprit Gupta. 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 Suprit Gupta. The network helps show where Suprit Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Suprit Gupta, 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 | Autophagy promotes immune evasion of pancreatic cancer by degrading MHC-I Hit paper breakdown → | 2020 | 882 |
| 2 | 2013 | 70 | |
| 3 | 2016 | 59 | |
| 4 | 2021 | 51 | |
| 5 | 2021 | 50 | |
| 6 | 2015 | 29 | |
| 7 | 2020 | 22 | |
| 8 | 2014 | 21 | |
| 9 | 2013 | 16 | |
| 10 | 2022 | 8 | |
| 11 | Mechanism of chemical carcinogenesis | 1992 | 7 |
| 12 | 2016 | 3 | |
| 13 | 2022 | 1 |
About Suprit Gupta
Suprit Gupta is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Epidemiology and Immunology, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), Autophagy in Disease and Therapy (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Nanoplatforms for cancer theranostics (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Extracellular vesicles in disease (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Physiology (90 citations), Immunology (369 citations), Oncology (421 citations), Cancer Research (190 citations) and Epidemiology (338 citations). Suprit Gupta has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Rushika M. Perera, Kwun Wah Wen, Grace Kim, Alec C. Kimmelman, Jayanta Debnath, Elaine Y. Lin, Subhadip Mukhopadhyay, Keisuke Yamamoto, Robert S. Banh and Anthony Venida. Their work appears in journals such as Cancer Letters, Developmental Cell, Journal of Clinical Oncology, Nature and Genes & Cancer.
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.