Rita Lin
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Liver Disease and Transplantation
- Epidemiology top 1%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
- Epidemiology 13
- Liver Disease Diagnosis and Treatment 12
- Hepatitis B Virus Studies 5
- Hepatology 13
- Hepatitis C virus research 12
- Liver Disease and Transplantation 2
- Co-authors
- Dev Samarasinghe (10 shared papers)Geoffrey C. Farrell (12 shared papers)Christopher Liddle (11 shared papers)Shivakumar Chitturi (4 shared papers)Jacob George (10 shared papers)Martin Weltman (5 shared papers)Jason M. Hui (4 shared papers)Shehan Abeygunasekera (2 shared papers)
In The Last Decade
Rita Lin
22 papers receiving 2.2k citations
Rita Lin's Hit Papers
Peers
Comparison fields: 5 of 73
- Hepatology 769
- Epidemiology 1.6k
- Endocrinology, Diabetes and Metabolism 500
- Pathology and Forensic Medicine 168
- Endocrine and Autonomic Systems 56
Countries citing papers authored by Rita Lin
This map shows the geographic impact of Rita Lin'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 Rita Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Lin more than expected).
Fields of papers citing papers by Rita Lin
This network shows the impact of papers produced by Rita Lin. 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 Rita Lin. The network helps show where Rita Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Rita Lin, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | NASH and insulin resistance: Insulin hypersecretion and specific association with the insulin resistance syndrome Hit paper breakdown → | 2002 | 958 |
| 2 | 2002 | 303 | |
| 3 | 2002 | 199 | |
| 4 | 2002 | 146 | |
| 5 | 2004 | 144 | |
| 6 | 2000 | 140 | |
| 7 | 1995 | 109 | |
| 8 | 2019 | 47 | |
| 9 | 2004 | 46 | |
| 10 | 2020 | 42 | |
| 11 | 1998 | 35 | |
| 12 | 2003 | 23 | |
| 13 | 1995 | 18 | |
| 14 | 2003 | 18 | |
| 15 | 2020 | 16 | |
| 16 | 2021 | 15 | |
| 17 | 1993 | 15 | |
| 18 | 2002 | 12 | |
| 19 | 1991 | 11 | |
| 20 | 2003 | 8 |
About Rita Lin
Rita Lin is a scholar working on Epidemiology, Hepatology, Rheumatology, Surgery and Genetics, having authored 22 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hepatitis C virus research (12 papers), Liver Disease Diagnosis and Treatment (12 papers), Hepatitis B Virus Studies (5 papers), Systemic Lupus Erythematosus Research (3 papers), Liver Disease and Transplantation (2 papers), Regulation of Appetite and Obesity (1 paper), Adipose Tissue and Metabolism (1 paper) and Iron Metabolism and Disorders (1 paper). The work is most often cited by research in Hepatology (769 citations), Epidemiology (1.6k citations), Endocrinology, Diabetes and Metabolism (500 citations), Pathology and Forensic Medicine (168 citations) and Endocrine and Autonomic Systems (56 citations). Rita Lin has collaborated with scholars based in Australia, Brazil and Indonesia. Frequent co-authors include Dev Samarasinghe, Geoffrey C. Farrell, 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, The American Journal of Gastroenterology, Journal of Hepatology, The journal of nutrition health & aging and Journal of Gastroenterology and Hepatology.
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.