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
- Oncology 5
- HER2/EGFR in Cancer Research 2
-
- Radiopharmaceutical Chemistry and Applications 2
- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Rushika M. Perera (3 shared papers)Grace Kim (2 shared papers)Kwun Wah Wen (2 shared papers)Jayanta Debnath (1 shared paper)Douglas T. Fearon (1 shared paper)Miwako Kakiuchi (1 shared paper)Subhadip Mukhopadhyay (1 shared paper)Robert S. Banh (1 shared paper)
- Journals
- Oncotarget (2 papers)Cancer Letters (2 papers)Neoplasia (1 paper)Cancer Biotherapy and Radiopharmaceuticals (1 paper)Developmental Cell (1 paper)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Suprit Gupta
12 papers receiving 1.4k citations
Suprit Gupta's Hit Papers
Peers
Comparison fields: 5 of 85
- Physiology 97
- Immunology 409
- Oncology 491
- Cancer Research 197
- Epidemiology 381
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 | 980 |
| 2 | 2013 | 78 | |
| 3 | 2016 | 65 | |
| 4 | 2021 | 58 | |
| 5 | 2021 | 53 | |
| 6 | 2017 | 43 | |
| 7 | 2015 | 31 | |
| 8 | 2014 | 24 | |
| 9 | 2020 | 22 | |
| 10 | 2013 | 18 | |
| 11 | Mechanism of chemical carcinogenesis | 1992 | 9 |
| 12 | 2022 | 9 |
About Suprit Gupta
Suprit Gupta is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Immunology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (2 papers), Glycosylation and Glycoproteins Research (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), HER2/EGFR in Cancer Research (2 papers), Phagocytosis and Immune Regulation (1 paper), Immune Cell Function and Interaction (1 paper) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Physiology (97 citations), Immunology (409 citations), Oncology (491 citations), Cancer Research (197 citations) and Epidemiology (381 citations). Suprit Gupta has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Rushika M. Perera, Grace Kim, Kwun Wah Wen, Jayanta Debnath, Douglas T. Fearon, Miwako Kakiuchi, Subhadip Mukhopadhyay, Robert S. Banh, Seth J. Parker and Douglas E. Biancur. Their work appears in journals such as Oncotarget, Cancer Letters, Neoplasia, Cancer Biotherapy and Radiopharmaceuticals and Developmental Cell.
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.