Pawan Gupta
Impact in
- Molecular Biology top 5%
- DNA Repair Mechanisms
- Retinoids in leukemia and cellular processes
- Epigenetics and DNA Methylation
- Immunology top 10%
Papers in
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- Pineapple and bromelain studies 10
- DNA Repair Mechanisms 8
- Cancer-related gene regulation 8
- Oncology 22
- Co-authors
- Michael A. Sirover (6 shared papers)Ravikanth Nanduri (20 shared papers)Li‐Na Wei (14 shared papers)Sahil Mahajan (18 shared papers)Vemika Chandra (13 shared papers)Sandeep Dave (9 shared papers)Ella Bhagyaraj (18 shared papers)Nien‐Pei Tsai (8 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)PLoS ONE (6 papers)Journal of Nuclear Medicine (5 papers)Autophagy (3 papers)The Journal of Immunology (3 papers)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Pawan Gupta
140 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 144
- Molecular Biology 1.3k
- Immunology 409
- Infectious Diseases 358
- Hematology 199
- Cancer Research 229
Countries citing papers authored by Pawan Gupta
This map shows the geographic impact of Pawan 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 Pawan Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pawan Gupta more than expected).
Fields of papers citing papers by Pawan Gupta
This network shows the impact of papers produced by Pawan 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 Pawan Gupta. The network helps show where Pawan Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Pawan 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
Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 162 | |
| 2 | 2017 | 118 | |
| 3 | 2015 | 106 | |
| 4 | 2006 | 85 | |
| 5 | 2004 | 66 | |
| 6 | 2012 | 65 | |
| 7 | 2015 | 64 | |
| 8 | 2008 | 63 | |
| 9 | Stimulation of the nuclear uracil DNA glycosylase in proliferating human fibroblasts. | 1981 | 60 |
| 10 | 2012 | 58 | |
| 11 | 2014 | 58 | |
| 12 | 2020 | 55 | |
| 13 | 2014 | 54 | |
| 14 | 1980 | 53 | |
| 15 | 2019 | 53 | |
| 16 | 2012 | 50 | |
| 17 | 2009 | 48 | |
| 18 | 2006 | 46 | |
| 19 | 2013 | 45 | |
| 20 | 2006 | 44 |
About Pawan Gupta
Pawan Gupta is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Epidemiology and Hematology, having authored 147 papers that have together received 3.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), Prostate Cancer Treatment and Research (10 papers), Pineapple and bromelain studies (10 papers), Radiopharmaceutical Chemistry and Applications (9 papers), Platelet Disorders and Treatments (9 papers), DNA Repair Mechanisms (8 papers), Nuclear Receptors and Signaling (8 papers) and Cancer-related gene regulation (8 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Immunology (409 citations), Infectious Diseases (358 citations), Hematology (199 citations) and Cancer Research (229 citations). Pawan Gupta has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Michael A. Sirover, Ravikanth Nanduri, Li‐Na Wei, Sahil Mahajan, Vemika Chandra, Sandeep Dave, Ella Bhagyaraj, Nien‐Pei Tsai, M. Saleemuddin and M. D. Mostaqul Huq. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Journal of Nuclear Medicine, Autophagy and The Journal of Immunology.
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.