Chuan‐Wei Yang

678 citations
31 papers · 460 indexed · h-index 15

Impact in

Papers in

Chuan‐Wei Yang

29 papers receiving 454 citations

Peers

Chuan‐Wei Yang
Comparison fields: 5 of 77
  • Geriatrics and Gerontology 88
  • Physiology 188
  • Endocrinology, Diabetes and Metabolism 63
  • Nephrology 26
  • Orthopedics and Sports Medicine 29
Replace Chiara Cattabiani with:
Chiara Cattabiani Italy
Ji Yeon Baek South Korea
Philip Chun-Ming Au Hong Kong
Chunxiu Wang China
Robert Kob Germany
Chen‐Jung Wu Taiwan
Е. N. Dudinskaya Russia
Fang‐Yih Liaw Taiwan
Wambui G. Gathirua‐Mwangi United States
Huanmin Du China
Chuan‐Wei Yang relative to Chiara Cattabiani Italy Chiara Cattabiani's profile →
Citations per field
00.5×1.5×2.3×
Chiara Cattabiani · 1×
Citations per year

Countries citing papers authored by Chuan‐Wei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chuan‐Wei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202312
3 20222
4 20205
5 202021
6 20205
7 20203
8 202016
9 20193
10 20194
11 201948
12 20173
13 201622
14 201549
15 201527
16 201414
17 201417
18 201227
19 201218
20 200924

About Chuan‐Wei Yang

Chuan‐Wei Yang is a scholar working on Geriatrics and Gerontology, Nephrology, Physiology, Endocrine and Autonomic Systems and Epidemiology, having authored 31 papers that have together received 460 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (12 papers), Body Composition Measurement Techniques (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Frailty in Older Adults (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Chronic Kidney Disease and Diabetes (5 papers), Obesity, Physical Activity, Diet (4 papers) and Cardiovascular Health and Disease Prevention (4 papers). The work is most often cited by research in Geriatrics and Gerontology (88 citations), Physiology (188 citations), Endocrinology, Diabetes and Metabolism (63 citations), Nephrology (26 citations) and Orthopedics and Sports Medicine (29 citations). Chuan‐Wei Yang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Cheng‐Chieh Lin, Tsai‐Chung Li, Wen‐Yuan Lin, Chiu-Shong Liu, Chia-Ing Li, Chih-Hsueh Lin, Chia‐Ing Li, Chiu-Shong Liu, Chih‐Hsueh Lin and Fang-Yang Wu. Their work appears in journals such as PLoS ONE, Scientific Reports, Geriatrics and gerontology international, BMC Public Health and Experimental Gerontology.

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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