Michael Yee
Impact in
- Geriatrics and Gerontology top 5%
- Pharmaceutical Practices and Patient Outcomes
- Hepatology top 10%
- Liver Disease and Transplantation
Papers in
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 10
- Surgery 4
- Co-authors
- Richard E. Sievers (4 shared papers)Pinelopi Manousou (10 shared papers)Mark Thursz (10 shared papers)Benjamin H. Mullish (9 shared papers)Roberta Forlano (9 shared papers)Qizhi Fang (3 shared papers)Randall J. Lee (3 shared papers)Robert Goldin (8 shared papers)
- Journals
- Journal of Hepatology (2 papers)PLoS ONE (2 papers)International Journal of Eating Disorders (1 paper)Journal of Lipid Research (1 paper)Blood (1 paper)
- Partner nations
- United KingdomUnited StatesGreece
In The Last Decade
Michael Yee
23 papers receiving 720 citations
Peers
Comparison fields: 5 of 89
- Geriatrics and Gerontology 55
- Hepatology 78
- Epidemiology 241
- Endocrinology, Diabetes and Metabolism 102
- Genetics 61
Countries citing papers authored by Michael Yee
This map shows the geographic impact of Michael Yee'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 Michael Yee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Yee more than expected).
Fields of papers citing papers by Michael Yee
This network shows the impact of papers produced by Michael Yee. 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 Michael Yee. The network helps show where Michael Yee may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Yee, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 107 | |
| 2 | 2019 | 101 | |
| 3 | 2006 | 74 | |
| 4 | 2004 | 70 | |
| 5 | 2005 | 67 | |
| 6 | 2017 | 42 | |
| 7 | 2019 | 38 | |
| 8 | 2019 | 31 | |
| 9 | 2008 | 30 | |
| 10 | 2023 | 28 | |
| 11 | 2016 | 25 | |
| 12 | 2013 | 24 | |
| 13 | 2009 | 23 | |
| 14 | 2009 | 21 | |
| 15 | 1981 | 17 | |
| 16 | 2020 | 11 | |
| 17 | 2023 | 11 | |
| 18 | 2021 | 8 | |
| 19 | 2015 | 4 | |
| 20 | 2023 | 3 |
About Michael Yee
Michael Yee is a scholar working on Epidemiology, Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 24 papers that have together received 739 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (10 papers), Cancer, Lipids, and Metabolism (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Liver Disease and Transplantation (2 papers), Mesenchymal stem cell research (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Telemedicine and Telehealth Implementation (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Geriatrics and Gerontology (55 citations), Hepatology (78 citations), Epidemiology (241 citations), Endocrinology, Diabetes and Metabolism (102 citations) and Genetics (61 citations). Michael Yee has collaborated with scholars based in United Kingdom, United States and Greece. Frequent co-authors include Richard E. Sievers, Pinelopi Manousou, Mark Thursz, Benjamin H. Mullish, Roberta Forlano, Qizhi Fang, Randall J. Lee, Robert Goldin, Cynthia M. Boyd and William Dale. Their work appears in journals such as Journal of Hepatology, PLoS ONE, International Journal of Eating Disorders, Journal of Lipid Research and Blood.
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.