Ashwin Dhanda
- Epidemiology top 10%
- Pathology and Forensic Medicine top 5%
- Molecular Biology
- Hepatology top 5%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Prebashan MoodleyKeith PohlHuey TanMatthew CrampMark ThurszDoyo Gragn EnkiTom CreedBruce E. Sands
- Topics
- Liver Disease Diagnosis and Treatment (26 papers)Alcohol Consumption and Health Effects (24 papers)Liver Disease and Transplantation (11 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaThe Journal of Immunology
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Ashwin Dhanda
44 papers receiving 666 citations
Peers
Comparison fields: 5 of 89
- Epidemiology 368
- Pathology and Forensic Medicine 306
- Molecular Biology 136
- Hepatology 123
- Endocrinology, Diabetes and Metabolism 96
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-authorship network of co-authors of Ashwin Dhanda
This figure shows the co-authorship network connecting the top 25 collaborators of Ashwin Dhanda. A scholar is included among the top collaborators of Ashwin Dhanda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ashwin Dhanda. Ashwin Dhanda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 15 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 22 | |
| 10 | 12 | |
| 11 | 48 | |
| 12 | 31 | |
| 13 | 49 | |
| 14 | 38 | |
| 15 | Human monocyte subsets differentially drive T helper cell polarization: implications for the pathogenesis and treatment of autoimmune uveitis | 1 |
| 16 | Towards live assessment of human leukocyte dynamics in retinal disease with fluorescein-labeled peripheral blood mononuclear cells | 1 |
| 17 | 1 | |
| 18 | 32 | |
| 19 | 26 | |
| 20 | 1 |
About Ashwin Dhanda
Ashwin Dhanda is a scholar working on Hepatology, Pathology and Forensic Medicine and Epidemiology, having authored 54 papers that have together received 678 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (26 papers), Alcohol Consumption and Health Effects (24 papers) and Liver Disease and Transplantation (11 papers). The work is most often cited by research in Pathology and Forensic Medicine (306 citations), Hepatology (123 citations) and Epidemiology (368 citations). Ashwin Dhanda has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Prebashan Moodley, Keith Pohl, Huey Tan, Matthew Cramp, Mark Thursz, Doyo Gragn Enki, Tom Creed, Bruce E. Sands, C Probert and Stephen R. Atkinson. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología 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.