Ashwin Dhanda
Impact in
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- Alcohol Consumption and Health Effects
- Hepatology top 10%
- Liver Disease and Transplantation
Papers in
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- Alcohol Consumption and Health Effects 21
- Epidemiology 19
- Liver Disease Diagnosis and Treatment 16
- Co-authors
- Keith Pohl (2 shared papers)Prebashan Moodley (3 shared papers)Huey Tan (6 shared papers)Matthew Cramp (13 shared papers)Mark Thursz (5 shared papers)Doyo Gragn Enki (3 shared papers)Bruce E. Sands (3 shared papers)C Probert (4 shared papers)
- Journals
- Journal of Hepatology (7 papers)Alimentary Pharmacology & Therapeutics (4 papers)World Journal of Gastroenterology (4 papers)Nature Reviews Gastroenterology & Hepatology (2 papers)HPB (2 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Ashwin Dhanda
45 papers receiving 705 citations
Peers
Comparison fields: 5 of 82
- Pathology and Forensic Medicine 280
- Hepatology 77
- Epidemiology 251
- Endocrinology, Diabetes and Metabolism 80
- Biochemistry 31
Countries citing papers authored by Ashwin Dhanda
This map shows the geographic impact of Ashwin Dhanda'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 Ashwin Dhanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin Dhanda more than expected).
Fields of papers citing papers by Ashwin Dhanda
This network shows the impact of papers produced by Ashwin Dhanda. 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 Ashwin Dhanda. The network helps show where Ashwin Dhanda may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashwin Dhanda, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 131 | |
| 2 | 2021 | 74 | |
| 3 | 2017 | 53 | |
| 4 | 2019 | 47 | |
| 5 | 2022 | 46 | |
| 6 | 2015 | 38 | |
| 7 | 2012 | 33 | |
| 8 | 2019 | 32 | |
| 9 | 2012 | 26 | |
| 10 | 2013 | 24 | |
| 11 | 2020 | 22 | |
| 12 | 2013 | 22 | |
| 13 | 2012 | 19 | |
| 14 | 2024 | 19 | |
| 15 | 2020 | 14 | |
| 16 | 2022 | 12 | |
| 17 | 2011 | 12 | |
| 18 | 2020 | 11 | |
| 19 | 2019 | 8 | |
| 20 | 2022 | 8 |
About Ashwin Dhanda
Ashwin Dhanda is a scholar working on Pathology and Forensic Medicine, Epidemiology, Hepatology, Genetics and Pulmonary and Respiratory Medicine, having authored 53 papers that have together received 718 indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (21 papers), Liver Disease Diagnosis and Treatment (16 papers), Liver Disease and Transplantation (6 papers), Gallbladder and Bile Duct Disorders (4 papers), Diet, Metabolism, and Disease (4 papers), Inflammatory Bowel Disease (4 papers), Pediatric Hepatobiliary Diseases and Treatments (3 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (280 citations), Hepatology (77 citations), Epidemiology (251 citations), Endocrinology, Diabetes and Metabolism (80 citations) and Biochemistry (31 citations). Ashwin Dhanda has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Keith Pohl, Prebashan Moodley, Huey Tan, Matthew Cramp, Mark Thursz, Doyo Gragn Enki, Bruce E. Sands, C Probert, Tom Creed and Stephen R. Atkinson. Their work appears in journals such as Journal of Hepatology, Alimentary Pharmacology & Therapeutics, World Journal of Gastroenterology, Nature Reviews Gastroenterology & Hepatology and HPB.
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.