Hsin‐Yi Yang

1.2k citations
50 papers · 927 · h-index 18

Impact in

Papers in

Hsin‐Yi Yang

49 papers receiving 886 citations

Peers

Hsin‐Yi Yang
Comparison fields: 5 of 103
  • Food Science 225
  • Nutrition and Dietetics 164
  • Pathology and Forensic Medicine 180
  • Endocrinology, Diabetes and Metabolism 117
  • Biotechnology 61
Replace Jinjie Wu with:
Jinjie Wu China
Sandeep B. Subramanya United Arab Emirates
Daniel M. Commane United Kingdom
Yu‐Ling Tsai Taiwan
Jianming Luo China
Kumiko Makino Japan
Erik Schneider United States
Jinxin Liu China
Elvira Bailón Spain
Ryan Simon Canada
Hsin‐Yi Yang relative to Jinjie Wu China Jinjie Wu's profile →
Citations per field
00.5×3.6×
Jinjie Wu · 1×
Citations per year

Countries citing papers authored by Hsin‐Yi Yang

Since Specialization
Citations

This map shows the geographic impact of Hsin‐Yi 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 Hsin‐Yi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin‐Yi Yang more than expected).

Fields of papers citing papers by Hsin‐Yi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin‐Yi 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 Hsin‐Yi Yang. The network helps show where Hsin‐Yi Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Hsin‐Yi 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 Hsin‐Yi Yang Line = papers co-authored together Hsin‐Yi Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003175
2 200452
3 201151
4 201146
5 201644
6 200235
7 201434
8 200831
9 201126
10 202023
11 201123
12 201122
13 200322
14 201521
15 200820
16 201220
17 202219
18 201517
19 201317
20 200615

About Hsin‐Yi Yang

Hsin‐Yi Yang is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism, Physiology and Epidemiology, having authored 50 papers that have together received 927 indexed citations. Recurring topics across this work include Phytoestrogen effects and research (9 papers), Protein Hydrolysis and Bioactive Peptides (7 papers), Diet, Metabolism, and Disease (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Advanced Glycation End Products research (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Renin-Angiotensin System Studies (4 papers) and Alcohol Consumption and Health Effects (4 papers). The work is most often cited by research in Food Science (225 citations), Nutrition and Dietetics (164 citations), Pathology and Forensic Medicine (180 citations), Endocrinology, Diabetes and Metabolism (117 citations) and Biotechnology (61 citations). Hsin‐Yi Yang has collaborated with scholars based in Taiwan, Japan and United Kingdom. Frequent co-authors include Cheng‐Chun Chou, Jiun-Rong Chen, Roch‐Chui Yu, Suh‐Ching Yang, Wan-Ju Yeh, Jiun‐Rong Chen, Sui‐Lung Su, Yuh‐Feng Lin, Kuo‐Cheng Lu and Jane C.-J. Chao. Their work appears in journals such as Nutrients, British Journal Of Nutrition, The Journal of Nutritional Biochemistry, PLoS ONE and Nutrition.

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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