Shing-Yu Yang

440 citations
32 papers · 274 · h-index 11

Impact in

Papers in

Shing-Yu Yang

29 papers receiving 271 citations

Peers

Shing-Yu Yang
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 103
  • Geriatrics and Gerontology 22
  • Nephrology 20
  • Cardiology and Cardiovascular Medicine 63
  • Physiology 55
Replace Lu Zhai with:
Lu Zhai China
Tae Yeon Kwon South Korea
Cancan Cui China
Jiun‐Lu Lin Taiwan
Mohammed A. Farooqi Canada
Nayeon Ahn Germany
Jingxian Ni China
Kongyong Cui China
Qiligeer Bao China
Young Jun Won South Korea
Shing-Yu Yang relative to Lu Zhai China Lu Zhai's profile →
Citations per field
00.5×2.7×
Lu Zhai · 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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202041
2 202127
3 202023
4 202021
5 202016
6 202215
7 202213
8 202213
9 202312
10 202212
11 202011
12 20239
13 20217
14 20207
15 20206
16 20206
17 20216
18 20225
19 20225
20 20203

About Shing-Yu Yang

Shing-Yu Yang is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Epidemiology, Nephrology and Public Health, Environmental and Occupational Health, having authored 32 papers that have together received 274 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Diabetes Management and Research (6 papers), Cardiovascular Health and Disease Prevention (6 papers), Blood Pressure and Hypertension Studies (5 papers), Sleep and related disorders (4 papers), Frailty in Older Adults (4 papers), Nutrition and Health in Aging (4 papers) and Chronic Kidney Disease and Diabetes (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (103 citations), Geriatrics and Gerontology (22 citations), Nephrology (20 citations), Cardiology and Cardiovascular Medicine (63 citations) and Physiology (55 citations). Shing-Yu Yang has collaborated with scholars based in Taiwan, United Kingdom and Australia. Frequent co-authors include Tsai‐Chung Li, Cheng‐Chieh Lin, Chia‐Ing Li, Chiu-Shong Liu, Chih‐Hsueh Lin, Chih‐Hsueh Lin, Wen‐Yuan Lin, Chuan‐Wei Yang, Peter Hanlon and Frances S Mair. Their work appears in journals such as Scientific Reports, Cardiovascular Diabetology, BMC Psychiatry, BMJ Open Diabetes Research & Care and Acta Diabetologica.

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