Tsan Yang

1.2k citations
54 papers · 972 · h-index 19

Impact in

Papers in

    • Gout, Hyperuricemia, Uric Acid 5
    • Chronic Kidney Disease and Diabetes 3
    • Colorectal Cancer Screening and Detection 8

Tsan Yang

53 papers receiving 945 citations

Peers

Tsan Yang
Comparison fields: 5 of 110
  • Nephrology 220
  • Rheumatology 91
  • Oncology 148
  • Endocrinology, Diabetes and Metabolism 92
  • Epidemiology 171
Replace Chia‐Chang Hsu with:
Chia‐Chang Hsu Taiwan
Göran Berglund Sweden
E Cacès France
Scott R. Bauer United States
Jae‐Hong Ryoo South Korea
Min Nie China
David Siscovick United States
Kazuhiko Hirobe Russia
Yung‐Chuan Lu Taiwan
Xianlin Xu China
Tsan Yang relative to Chia‐Chang Hsu Taiwan Chia‐Chang Hsu's profile →
Citations per field
00.5×2×3×3.8×
Chia‐Chang Hsu · 1×
Citations per year

Countries citing papers authored by Tsan Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tsan Yang Line = papers co-authored together Tsan Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011123
2 200787
3 201058
4 201553
5 201251
6 200541
7 200639
8 201637
9 201437
10
Breast cancer risk associated with multigenotypic polymorphisms in folate-metabolizing genes: a nested case-control study in Taiwan.
200736
11 201230
12 201530
13 201427
14 201227
15 202126
16 200225
17 201122
18 201520
19 200819
20 201018

About Tsan Yang

Tsan Yang is a scholar working on Nephrology, Oncology, Endocrinology, Diabetes and Metabolism, Rheumatology and Pathology and Forensic Medicine, having authored 54 papers that have together received 972 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Epigenetics and DNA Methylation (6 papers), Gout, Hyperuricemia, Uric Acid (5 papers), Genetic factors in colorectal cancer (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Healthcare professionals’ stress and burnout (4 papers) and Chronic Kidney Disease and Diabetes (3 papers). The work is most often cited by research in Nephrology (220 citations), Rheumatology (91 citations), Oncology (148 citations), Endocrinology, Diabetes and Metabolism (92 citations) and Epidemiology (171 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, 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 World Journal of Gastroenterology, Breast Cancer Research and Treatment, Scientific Reports, Journal of Nephrology and Applied Nursing Research.

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.

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