Dev Samarasinghe
- Epidemiology top 1%
- Hepatology top 0.5%
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Geoffrey C. FarrellRita LinChristopher LiddleShivakumar ChitturiJacob GeorgeMartin WeltmanJason M. HuiShehan Abeygunasekera
- Topics
- Liver Disease Diagnosis and Treatment (12 papers)Hepatitis C virus research (11 papers)Hepatitis B Virus Studies (6 papers)
- Partner nations
- AustraliaNew ZealandSri Lanka
In The Last Decade
Dev Samarasinghe
20 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Epidemiology 2.0k
- Hepatology 1.0k
- Endocrinology, Diabetes and Metabolism 706
- Surgery 339
- Pathology and Forensic Medicine 248
Countries citing papers authored by Dev Samarasinghe
This map shows the geographic impact of Dev Samarasinghe'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 Dev Samarasinghe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dev Samarasinghe more than expected).
Fields of papers citing papers by Dev Samarasinghe
This network shows the impact of papers produced by Dev Samarasinghe. 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 Dev Samarasinghe. The network helps show where Dev Samarasinghe may publish in the future.
Co-authorship network of co-authors of Dev Samarasinghe
This figure shows the co-authorship network connecting the top 25 collaborators of Dev Samarasinghe. A scholar is included among the top collaborators of Dev Samarasinghe 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 Dev Samarasinghe. Dev Samarasinghe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 125 | |
| 3 | 82 | |
| 4 | 139 | |
| 5 | 46 | |
| 6 | 23 | |
| 7 | 18 | |
| 8 | 140 | |
| 9 | NASH and insulin resistance: Insulin hypersecretion and specific association with the insulin resistance syndromebreakdown → | 936 |
| 10 | 184 | |
| 11 | 293 | |
| 12 | 12 | |
| 13 | 135 | |
| 14 | 42 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 40 | |
| 18 | 9 | |
| 19 | The clinical associations with hepatic steatosis: a retrospective study. | 15 |
| 20 | 3 |
About Dev Samarasinghe
Dev Samarasinghe is a scholar working on Hepatology, Epidemiology and Biochemistry, having authored 22 papers that have together received 2.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (12 papers), Hepatitis C virus research (11 papers) and Hepatitis B Virus Studies (6 papers). The work is most often cited by research in Hepatology (1.0k citations), Epidemiology (2.0k citations) and Endocrinology, Diabetes and Metabolism (706 citations). Dev Samarasinghe has collaborated with scholars based in Australia, New Zealand and Sri Lanka. Frequent co-authors include Geoffrey C. Farrell, Rita Lin, Christopher Liddle, Shivakumar Chitturi, Jacob George, Martin Weltman, Jason M. Hui, Shehan Abeygunasekera, Rooshdiya Z. Karim and Caroline Fung. Their work appears in journals such as Hepatology, Journal of Hepatology and The American Journal of Gastroenterology.
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.