Kuo‐Chin Huang

11.7k citations
255 papers · 8.6k indexed · 1 hit paper · h-index 52

Kuo‐Chin Huang

248 papers receiving 8.3k citations

Hit Papers

Association Between Sarcopenia and Cognitive Impairment: ...3412016202620192022100200300

Peers

Kuo‐Chin Huang
Comparison fields: 5 of 178
  • Geriatrics and Gerontology 529
  • Physiology 2.5k
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Hepatology 434
  • Epidemiology 1.7k
Replace Cheng‐Chieh Lin with:
Cheng‐Chieh Lin Taiwan
Richard Woodman Australia
Richard N. Pierson United States
Lindsay D. Plank New Zealand
Jack Wang United States
Hideki Ito Japan
Guy D. Eslick Australia
Johann Willeit Austria
Μaria Dalamaga Greece
Akira Okayama Japan
Kuo‐Chin Huang relative to Cheng‐Chieh Lin Taiwan Cheng‐Chieh Lin's profile →
Citations per field
00.5×1.5×
Cheng‐Chieh Lin · 1×
Citations per year

Countries citing papers authored by Kuo‐Chin Huang

Since Specialization
Citations

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

Fields of papers citing papers by Kuo‐Chin Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo‐Chin Huang. 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 Kuo‐Chin Huang. The network helps show where Kuo‐Chin Huang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20242
3 20241
4 20241
5 20246
6 20247
7 20242
8 20240
9 202311
10 202312
11 20211
12 202116
13 20195
14 20162
15 201516
16 201522
17 201345
18 201324
19
Development of a food composition database of refined monosaccharides and disaccharides in snacks, desserts, and beverages.
20105
20 20067

About Kuo‐Chin Huang

Kuo‐Chin Huang is a scholar working on Geriatrics and Gerontology, Physiology and Epidemiology, having authored 255 papers that have together received 8.6k indexed citations. Recurring topics across this work include Nutrition and Health in Aging (37 papers), Liver Disease Diagnosis and Treatment (26 papers), Adipokines, Inflammation, and Metabolic Diseases (20 papers), Body Composition Measurement Techniques (15 papers), Adipose Tissue and Metabolism (13 papers), Frailty in Older Adults (13 papers), GaN-based semiconductor devices and materials (10 papers) and Obesity, Physical Activity, Diet (10 papers). The work is most often cited by research in Geriatrics and Gerontology (529 citations), Physiology (2.5k citations) and Endocrinology, Diabetes and Metabolism (1.0k citations). Kuo‐Chin Huang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Long‐Teng Lee, Der‐Sheng Han, Ke‐Vin Chang, Wei‐Ting Wu, Ching‐Yu Chen, Kuen‐Cheh Yang, Wan‐Wan Lin, Chia‐Wen Lu, Wen‐Yuan Lin and Hao Chang. Their work appears in journals such as Circulation, Applied Physics Letters and Journal of the American College of Cardiology.

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

Rankless by CCL
2026