Shing-Yu Yang

451 citations
35 papers · 330 · h-index 11

Impact in

Papers in

Shing-Yu Yang

33 papers receiving 324 citations

Peers

Shing-Yu Yang
Comparison fields: 5 of 58
  • Endocrinology, Diabetes and Metabolism 120
  • Nephrology 23
  • Physiology 47
  • Cardiology and Cardiovascular Medicine 41
  • Geriatrics and Gerontology 6
Replace Xinlei Miao with:
Xinlei Miao China
Jee Hee Yoo South Korea
Shuaiwei Song China
Nobuo Katoh Japan
Sung-Chen Liu Taiwan
Rustom Guzder United Kingdom
Christoph Terkamp Germany
Pernille Høyem Denmark
Junichi Ohata Japan
Shing-Yu Yang relative to Xinlei Miao China Xinlei Miao's profile →
Citations per field
00.5×5×10×15×18.5×
Xinlei Miao · 1×
Citations per year

Countries citing papers authored by Shing-Yu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shing-Yu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shing-Yu 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 Shing-Yu Yang. The network helps show where Shing-Yu Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202047
2 202129
3 201925
4 202025
5 202220
6 202317
7 202315
8 201913
9 202213
10 202213
11 202012
12 201910
13 20219
14 20229
15 20208
16 20207
17 20217
18 20227
19 20206
20 20216

About Shing-Yu Yang

Shing-Yu Yang is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Nephrology, Experimental and Cognitive Psychology and Physiology, having authored 35 papers that have together received 330 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Cardiovascular Health and Disease Prevention (5 papers), Sleep and related disorders (4 papers), Blood Pressure and Hypertension Studies (4 papers), Chronic Kidney Disease and Diabetes (4 papers), Diabetes Treatment and Management (4 papers), Genetic Associations and Epidemiology (3 papers) and Diabetes Management and Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (120 citations), Nephrology (23 citations), Physiology (47 citations), Cardiology and Cardiovascular Medicine (41 citations) and Geriatrics and Gerontology (6 citations). Shing-Yu Yang has collaborated with scholars based in Taiwan, Australia and United Kingdom. Frequent co-authors include Cheng‐Chieh Lin, Chiu-Shong Liu, Chia‐Ing Li, Chih‐Hsueh Lin, Tsai‐Chung Li, Jason Chiang, John Furler, Jo-Anne Elizabeth Manski-Nankervis, Bhautesh Jani and Peter Hanlon. Their work appears in journals such as Cardiovascular Diabetology, BMC Geriatrics, Scientific Reports, Acta Diabetologica and Diabetes Research and Clinical Practice.

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.

Explore authors with similar magnitude of impact