Dinesh Gupta
Impact in
- Hepatology top 2%
- Hepatitis Viruses Studies and Epidemiology
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Computational Drug Discovery Methods 25
- Co-authors
- Aarti GargShahzaib AhamadSP SharmaRahila SardarSubrat Kumar PandaShipra AgrawalD. SatishKanipakam Hema
- Journals
- Journal of Biomolecular Structure and Dynamics (15 papers)Pediatric Surgery International (10 papers)PLoS ONE (8 papers)Scientific Reports (6 papers)Journal of Pediatric Surgery (5 papers)
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Dinesh Gupta
196 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 160
- Hepatology 322
- Infectious Diseases 656
- Molecular Biology 1.3k
- Computational Theory and Mathematics 274
- Urology 110
Countries citing papers authored by Dinesh Gupta
This map shows the geographic impact of Dinesh 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 Dinesh Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dinesh Gupta more than expected).
Fields of papers citing papers by Dinesh Gupta
This network shows the impact of papers produced by Dinesh 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 Dinesh Gupta. The network helps show where Dinesh Gupta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dinesh 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 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 20 | |
| 7 | 2021 | 8 | |
| 8 | 2020 | 9 | |
| 9 | 2019 | 3 | |
| 10 | Sutureless, Glue-free Conjunctival-Limbal Autograft in the Management of Primary Pterygium | 2019 | 0 |
| 11 | 2019 | 2 | |
| 12 | 2018 | 3 | |
| 13 | 2016 | 16 | |
| 14 | 2012 | 23 | |
| 15 | 2010 | 16 | |
| 16 | 2009 | 22 | |
| 17 | 2008 | 56 | |
| 18 | 2007 | 26 | |
| 19 | 2007 | 11 | |
| 20 | 2006 | 33 |
About Dinesh Gupta
Dinesh Gupta is a scholar working on Computational Theory and Mathematics, Ophthalmology, Infectious Diseases, Parasitology and Molecular Biology, having authored 211 papers that have together received 3.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (25 papers), Malaria Research and Control (20 papers), Machine Learning in Bioinformatics (11 papers), Protein Structure and Dynamics (10 papers), RNA and protein synthesis mechanisms (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Drug Transport and Resistance Mechanisms (9 papers) and Mosquito-borne diseases and control (9 papers). The work is most often cited by research in Hepatology (322 citations), Infectious Diseases (656 citations), Molecular Biology (1.3k citations), Computational Theory and Mathematics (274 citations) and Urology (110 citations). Dinesh Gupta has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Aarti Garg, Shahzaib Ahamad, SP Sharma, Rahila Sardar, Subrat Kumar Panda, Shipra Agrawal, D. Satish, Kanipakam Hema, Ajay Narayan Gangopadhyay and Loris Nanni. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Pediatric Surgery International, PLoS ONE, Scientific Reports and Journal of Pediatric Surgery.
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.