Rajan Dhingra
Impact in
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
- Surgery top 5%
- Pancreatitis Pathology and Treatment
- Diagnosis and treatment of tuberculosis
- Gastrointestinal disorders and treatments
Papers in
- Co-authors
- Saurabh Kedia (19 shared papers)Govind Makharia (16 shared papers)Venigalla Pratap Mouli (9 shared papers)Vineet Ahuja (10 shared papers)Pramod Kumar Garg (11 shared papers)Sawan Bopanna (12 shared papers)S. Shalimar (5 shared papers)Veena Tiwari (4 shared papers)
- Journals
- Journal of Gastroenterology and Hepatology (4 papers)Intestinal Research (4 papers)Gastroenterology (4 papers)Gastrointestinal Endoscopy (3 papers)Digestive Diseases and Sciences (2 papers)
- Partner nations
- IndiaUnited StatesVietnam
In The Last Decade
Rajan Dhingra
33 papers receiving 822 citations
Peers
Comparison fields: 5 of 72
- Molecular Medicine 60
- Surgery 454
- Gastroenterology 34
- Genetics 162
- Hepatology 34
Countries citing papers authored by Rajan Dhingra
This map shows the geographic impact of Rajan Dhingra'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 Rajan Dhingra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajan Dhingra more than expected).
Fields of papers citing papers by Rajan Dhingra
This network shows the impact of papers produced by Rajan Dhingra. 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 Rajan Dhingra. The network helps show where Rajan Dhingra may publish in the future.
Co-authors
The 25 scholars most cited alongside Rajan Dhingra, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 147 | |
| 2 | 2014 | 51 | |
| 3 | 2019 | 50 | |
| 4 | 2013 | 45 | |
| 5 | 2018 | 37 | |
| 6 | 2017 | 37 | |
| 7 | 2019 | 37 | |
| 8 | 2015 | 36 | |
| 9 | 2016 | 34 | |
| 10 | 2018 | 34 | |
| 11 | 2015 | 33 | |
| 12 | 2015 | 30 | |
| 13 | 2016 | 28 | |
| 14 | 2017 | 27 | |
| 15 | 2016 | 26 | |
| 16 | 2019 | 24 | |
| 17 | 2016 | 22 | |
| 18 | 2016 | 21 | |
| 19 | 2016 | 17 | |
| 20 | 2015 | 17 |
About Rajan Dhingra
Rajan Dhingra is a scholar working on Surgery, Oncology, Genetics, Pulmonary and Respiratory Medicine and Epidemiology, having authored 33 papers that have together received 833 indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (12 papers), Diagnosis and treatment of tuberculosis (10 papers), Inflammatory Bowel Disease (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Gastrointestinal disorders and treatments (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Dermatological and COVID-19 studies (1 paper). The work is most often cited by research in Molecular Medicine (60 citations), Surgery (454 citations), Gastroenterology (34 citations), Genetics (162 citations) and Hepatology (34 citations). Rajan Dhingra has collaborated with scholars based in India, United States and Vietnam. Frequent co-authors include Saurabh Kedia, Govind Makharia, Venigalla Pratap Mouli, Vineet Ahuja, Pramod Kumar Garg, Sawan Bopanna, S. Shalimar, Veena Tiwari, Saurabh Srivastava and Vineet Ahuja. Their work appears in journals such as Journal of Gastroenterology and Hepatology, Intestinal Research, Gastroenterology, Gastrointestinal Endoscopy and Digestive Diseases and Sciences.
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.