Dian Chiang
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
- Liver physiology and pathology
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
Papers in
-
- Liver physiology and pathology 5
- Liver Disease and Transplantation 3
-
- Liver Disease Diagnosis and Treatment 8
- Co-authors
- Laura E. NagyMichele T. PritchardArthur J. McCulloughMegan R. McMullenSanjoy RoychowdhuryAriel E. FeldsteinSorana PisanoPalash Mandal
- Journals
- The American Journal of Gastroenterology (3 papers)American Journal of Physiology-Gastrointestinal and Liver Physiology (2 papers)Liver International (1 paper)JAMA Network Open (1 paper)Clinics in Liver Disease (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Dian Chiang
13 papers receiving 481 citations
Peers
Comparison fields: 5 of 74
- Hepatology 122
- Epidemiology 317
- Pathology and Forensic Medicine 144
- Endocrinology, Diabetes and Metabolism 108
- Physiology 22
Countries citing papers authored by Dian Chiang
This map shows the geographic impact of Dian Chiang'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 Dian Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dian Chiang more than expected).
Fields of papers citing papers by Dian Chiang
This network shows the impact of papers produced by Dian Chiang. 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 Dian Chiang. The network helps show where Dian Chiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dian Chiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2018 | 39 | |
| 4 | 2016 | 17 | |
| 5 | 2015 | 1 | |
| 6 | 2014 | 27 | |
| 7 | 2013 | 72 | |
| 8 | 2013 | 63 | |
| 9 | 2012 | 64 | |
| 10 | 2012 | 8 | |
| 11 | 2011 | 172 | |
| 12 | 2010 | 0 | |
| 13 | 2010 | 1 | |
| 14 | 2009 | 25 |
About Dian Chiang
Dian Chiang is a scholar working on Hepatology, Epidemiology, Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 14 papers that have together received 493 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Liver physiology and pathology (5 papers), Alcohol Consumption and Health Effects (4 papers), Liver Disease and Transplantation (3 papers), Complement system in diseases (2 papers), Diabetes Treatment and Management (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Hepatology (122 citations), Epidemiology (317 citations), Pathology and Forensic Medicine (144 citations), Endocrinology, Diabetes and Metabolism (108 citations) and Physiology (22 citations). Dian Chiang has collaborated with scholars based in United States and Spain. Frequent co-authors include Laura E. Nagy, Michele T. Pritchard, Arthur J. McCullough, Megan R. McMullen, Sanjoy Roychowdhury, Ariel E. Feldstein, Sorana Pisano, Palash Mandal, Jessica I. Cohen and John R. Pollard. Their work appears in journals such as The American Journal of Gastroenterology, American Journal of Physiology-Gastrointestinal and Liver Physiology, Liver International, JAMA Network Open and Clinics in Liver Disease.
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.