Tsan Yang
- Nephrology top 2%
- Gout, Hyperuricemia, Uric Acid 5
- Pathology and Forensic Medicine top 10%
- Genetic factors in colorectal cancer 6
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- Diabetes, Cardiovascular Risks, and Lipoproteins 8
- Rheumatology top 10%
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- Colorectal Cancer Screening and Detection 11
- Cancer Risks and Factors 4
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- Epigenetics and DNA Methylation 9
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- Liver Disease Diagnosis and Treatment 6
- Adipokines, Inflammation, and Metabolic Diseases 5
- Co-authors
- Chien‐An SunYu‐Ching ChouSan‐Lin YouMei-Hsuan WuChyi‐Huey BaiCheng‐Ping YuLee‐Ching HwangJyh‐Cherng Yu
- Journals
- Scientific Reports (3 papers)Breast Cancer Research and Treatment (3 papers)World Journal of Gastroenterology (3 papers)
- Partner nations
- TaiwanJapanUnited States
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2021 | 19 | |
| 3 | 2021 | 10 | |
| 4 | 2021 | 1 | |
| 5 | 2020 | 1 | |
| 6 | 2020 | 4 | |
| 7 | 2020 | 5 | |
| 8 | 2015 | 17 | |
| 9 | 2015 | 29 | |
| 10 | 2014 | 25 | |
| 11 | 2014 | 6 | |
| 12 | IMPACT OF PERSONAL CHARACTERISTICS AND WORK STRESS ON JOB BURNOUT AMONG PSYCHIATRIC NURSES | 2013 | 1 |
| 13 | 2012 | 27 | |
| 14 | 2010 | 18 | |
| 15 | 2008 | 12 | |
| 16 | 2008 | 20 | |
| 17 | 2007 | 1 | |
| 18 | 2006 | 39 | |
| 19 | 2002 | 23 | |
| 20 | 2002 | 11 |
About Tsan Yang
Tsan Yang is a scholar working on Leadership and Management, Research and Theory, Nephrology, Endocrinology, Diabetes and Metabolism and Oncology, 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), Liver Disease Diagnosis and Treatment (6 papers), Genetic factors in colorectal cancer (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Gout, Hyperuricemia, Uric Acid (5 papers) and Cancer Risks and Factors (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 United States. Frequent co-authors include Chien‐An Sun, Yu‐Ching Chou, San‐Lin You, Mei-Hsuan Wu, Chyi‐Huey Bai, Cheng‐Ping Yu, Lee‐Ching Hwang, Jyh‐Cherng Yu, Chi‐Hong Chu and Giu‐Cheng Hsu. 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.