Matthew M. Yeh
- Hepatology top 0.05%
- Hepatitis C virus research 22
- Liver Disease and Transplantation 19
- Hepatocellular Carcinoma Treatment and Prognosis 15
- Liver Diseases and Immunity 13
- Epidemiology top 0.02%
- Liver Disease Diagnosis and Treatment 89
- Hepatitis B Virus Studies 15
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- Diet, Metabolism, and Disease 24
- Cell Biology top 0.5%
- Pathology and Forensic Medicine top 0.5%
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- Pancreatitis Pathology and Treatment 11
- Co-authors
- Elizabeth M. BruntAynur Ünalp–AridaMichael TorbensonArun J. SanyalOscar W. CummingsDavid E. KleinerLinda D. FerrellCynthia Behling
- Journals
- Hepatology (10 papers)Human Pathology (9 papers)The American Journal of Surgical Pathology (8 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Matthew M. Yeh
128 papers receiving 16.9k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Hepatology 5.9k
- Epidemiology 13.4k
- Endocrinology, Diabetes and Metabolism 4.5k
- Cell Biology 1.6k
- Pathology and Forensic Medicine 1.4k
Countries citing papers authored by Matthew M. Yeh
This map shows the geographic impact of Matthew M. Yeh'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 Matthew M. Yeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew M. Yeh more than expected).
Fields of papers citing papers by Matthew M. Yeh
This network shows the impact of papers produced by Matthew M. Yeh. 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 Matthew M. Yeh. The network helps show where Matthew M. Yeh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew M. Yeh, 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 | 2024 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 12 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 4 | |
| 8 | 2020 | 2 | |
| 9 | 2019 | 29 | |
| 10 | 2019 | 4 | |
| 11 | 2018 | 2 | |
| 12 | 2015 | 38 | |
| 13 | 2014 | 74 | |
| 14 | 2013 | 97 | |
| 15 | 2012 | 63 | |
| 16 | 2011 | 80 | |
| 17 | 2007 | 8 | |
| 18 | 2007 | 382 | |
| 19 | 2006 | 149 | |
| 20 | 2005 | 3 |
About Matthew M. Yeh
Matthew M. Yeh is a scholar working on Hepatology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 129 papers that have together received 17.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (89 papers), Diet, Metabolism, and Disease (24 papers), Hepatitis C virus research (22 papers), Liver Disease and Transplantation (19 papers), Hepatitis B Virus Studies (15 papers), Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Liver Diseases and Immunity (13 papers) and Pancreatitis Pathology and Treatment (11 papers). The work is most often cited by research in Hepatology (5.9k citations), Epidemiology (13.4k citations) and Endocrinology, Diabetes and Metabolism (4.5k citations). Matthew M. Yeh has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Elizabeth M. Brunt, Aynur Ünalp–Arida, Michael Torbenson, Arun J. Sanyal, Oscar W. Cummings, David E. Kleiner, Linda D. Ferrell, Cynthia Behling, Melissa J. Contos and Mark L. Van Natta. Their work appears in journals such as Hepatology, Human Pathology, The American Journal of Surgical Pathology, Journal of Gastroenterology and Hepatology and Hepatology Communications.
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.