Tsan Yang
Impact in
- Nephrology top 2%
- Gout, Hyperuricemia, Uric Acid
- Pathology and Forensic Medicine top 10%
- Alcohol Consumption and Health Effects
Papers in
- Oncology 16
- Colorectal Cancer Screening and Detection 11
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- Epigenetics and DNA Methylation 9
- Co-authors
- Chien‐An Sun (34 shared papers)Yu‐Ching Chou (37 shared papers)San‐Lin You (11 shared papers)Chyi‐Huey Bai (8 shared papers)Mei-Hsuan Wu (7 shared papers)Cheng‐Ping Yu (6 shared papers)Lee‐Ching Hwang (6 shared papers)Jyh‐Cherng Yu (5 shared papers)
In The Last Decade
Tsan Yang
52 papers receiving 891 citations
Peers
Comparison fields: 5 of 117
- Nephrology 223
- Pathology and Forensic Medicine 149
- Endocrinology, Diabetes and Metabolism 134
- Rheumatology 110
- Oncology 197
Countries citing papers authored by Tsan Yang
This map shows the geographic impact of Tsan Yang'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 Tsan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsan Yang more than expected).
Fields of papers citing papers by Tsan Yang
This network shows the impact of papers produced by Tsan Yang. 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 Tsan Yang. The network helps show where Tsan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Tsan Yang, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 120 | |
| 2 | 2007 | 83 | |
| 3 | 2010 | 55 | |
| 4 | 2015 | 51 | |
| 5 | 2012 | 50 | |
| 6 | 2006 | 39 | |
| 7 | 2005 | 39 | |
| 8 | Breast cancer risk associated with multigenotypic polymorphisms in folate-metabolizing genes: a nested case-control study in Taiwan. | 2007 | 36 |
| 9 | 2016 | 35 | |
| 10 | 2014 | 34 | |
| 11 | 2015 | 29 | |
| 12 | 2012 | 28 | |
| 13 | 2012 | 27 | |
| 14 | 2014 | 25 | |
| 15 | 2002 | 23 | |
| 16 | 2011 | 22 | |
| 17 | 2008 | 20 | |
| 18 | 2021 | 19 | |
| 19 | 2010 | 18 | |
| 20 | 2015 | 17 |
About Tsan Yang
Tsan Yang is a scholar working on Oncology, Molecular Biology, Epidemiology, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 53 papers that have together received 916 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (11 papers), Epigenetics and DNA Methylation (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Genetic factors in colorectal cancer (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Gout, Hyperuricemia, Uric Acid (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Alcohol Consumption and Health Effects (4 papers). The work is most often cited by research in Nephrology (223 citations), Pathology and Forensic Medicine (149 citations), Endocrinology, Diabetes and Metabolism (134 citations), Rheumatology (110 citations) and Oncology (197 citations). Tsan Yang has collaborated with scholars based in Taiwan, Japan and India. Frequent co-authors include Chien‐An Sun, Yu‐Ching Chou, San‐Lin You, Chyi‐Huey Bai, Mei-Hsuan Wu, Cheng‐Ping Yu, Lee‐Ching Hwang, Jyh‐Cherng Yu, Chi‐Hong Chu and Chi-Hong Chu. Their work appears in journals such as Scientific Reports, Breast Cancer Research and Treatment, World Journal of Gastroenterology, The Science of The Total Environment and International Archives of Occupational and Environmental Health.
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.