Ming‐Yen Lin
Impact in
- Nephrology top 0.5%
- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
- Gout, Hyperuricemia, Uric Acid
- Hepatology top 5%
- Hepatitis C virus research
Papers in
- Nephrology 40
- Dialysis and Renal Disease Management 24
- Chronic Kidney Disease and Diabetes 22
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- Blood Pressure and Hypertension Studies 5
- Co-authors
- Shang‐Jyh Hwang (66 shared papers)Hung‐Chun Chen (28 shared papers)Yi‐Wen Chiu (39 shared papers)Chi‐Chih Hung (16 shared papers)Jer‐Ming Chang (23 shared papers)Yi‐Chun Tsai (12 shared papers)Szu‐Chia Chen (16 shared papers)Jer‐Chia Tsai (11 shared papers)
- Journals
- PLoS ONE (19 papers)Scientific Reports (10 papers)Nephrology Dialysis Transplantation (9 papers)Journal of Personalized Medicine (6 papers)Clinical Journal of the American Society of Nephrology (5 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Ming‐Yen Lin
111 papers receiving 2.8k citations
Ming‐Yen Lin's Hit Papers
Peers
Comparison fields: 5 of 142
- Nephrology 989
- Hepatology 202
- Cardiology and Cardiovascular Medicine 327
- Transplantation 28
- Family Practice 19
Countries citing papers authored by Ming‐Yen Lin
This map shows the geographic impact of Ming‐Yen 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 Ming‐Yen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Yen Lin more than expected).
Fields of papers citing papers by Ming‐Yen Lin
This network shows the impact of papers produced by Ming‐Yen 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 Ming‐Yen Lin. The network helps show where Ming‐Yen Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Yen 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prevalence of chronic kidney disease in Asia: a systematic review and analysis Hit paper breakdown → | 2022 | 190 |
| 2 | 2012 | 152 | |
| 3 | 2010 | 124 | |
| 4 | 2012 | 113 | |
| 5 | 2009 | 100 | |
| 6 | 2011 | 95 | |
| 7 | 2018 | 92 | |
| 8 | 2010 | 86 | |
| 9 | 2015 | 84 | |
| 10 | 2011 | 84 | |
| 11 | 2014 | 83 | |
| 12 | 2020 | 78 | |
| 13 | 2008 | 72 | |
| 14 | 2009 | 68 | |
| 15 | 2015 | 66 | |
| 16 | 2011 | 61 | |
| 17 | 2015 | 59 | |
| 18 | 2012 | 59 | |
| 19 | 2017 | 47 | |
| 20 | 2008 | 44 |
About Ming‐Yen Lin
Ming‐Yen Lin is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology and Surgery, having authored 116 papers that have together received 2.9k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (24 papers), Chronic Kidney Disease and Diabetes (22 papers), Blood Pressure and Hypertension Studies (5 papers), Renal and Vascular Pathologies (5 papers), Central Venous Catheters and Hemodialysis (4 papers), Hepatitis C virus research (3 papers), Erythropoietin and Anemia Treatment (3 papers) and Cardiac Imaging and Diagnostics (3 papers). The work is most often cited by research in Nephrology (989 citations), Hepatology (202 citations), Cardiology and Cardiovascular Medicine (327 citations), Transplantation (28 citations) and Family Practice (19 citations). Ming‐Yen Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shang‐Jyh Hwang, Hung‐Chun Chen, Yi‐Wen Chiu, Chi‐Chih Hung, Jer‐Ming Chang, Yi‐Chun Tsai, Szu‐Chia Chen, Jer‐Chia Tsai, Jer‐Chia Tsai and H.-C. Chen. Their work appears in journals such as PLoS ONE, Scientific Reports, Nephrology Dialysis Transplantation, Journal of Personalized Medicine and Clinical Journal of the American Society of Nephrology.
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.