Kuo‐Chen Liao

17 papers receiving 348 citations

Peers

Kuo‐Chen Liao
Comparison fields: 5 of 68
  • Family Practice 22
  • Geriatrics and Gerontology 33
  • Physical Therapy, Sports Therapy and Rehabilitation 37
  • Psychiatry and Mental health 58
  • Physiology 68
Replace Francesca Remelli with:
Francesca Remelli Italy
R. Griebenow Germany
Chika Tanimura Japan
Joana Mendes Portugal
Adriana Netto Parentoni Brazil
Shih‐Yin Chen United States
Anette Ekmann Denmark
Chu‐Sheng Lin Taiwan
Raimunda Beserra da Silva Brazil
Jiaojiao Jiang China
Kuo‐Chen Liao relative to Francesca Remelli Italy Francesca Remelli's profile →
Citations per field
00.5×7.4×
Francesca Remelli · 1×
Citations per year

Countries citing papers authored by Kuo‐Chen Liao

Since Specialization
Citations

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

Fields of papers citing papers by Kuo‐Chen Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200774
2 201153
3 201346
4
Associations between body mass index and serum levels of C-reactive protein.
200941
5 201729
6 202126
7 202024
8 201219
9 202112
10 202310
11 20226
12 20215
13 20194
14 20212
15 20232
16 20251
17 20251
18 20250

About Kuo‐Chen Liao

Kuo‐Chen Liao is a scholar working on Psychiatry and Mental health, Public Health, Environmental and Occupational Health, Physiology, Physical Therapy, Sports Therapy and Rehabilitation and Plant Science, having authored 18 papers that have together received 355 indexed citations. Recurring topics across this work include Innovations in Medical Education (3 papers), Empathy and Medical Education (3 papers), Cynara cardunculus studies (2 papers), Balance, Gait, and Falls Prevention (2 papers), Nutrition and Health in Aging (2 papers), Pomegranate: compositions and health benefits (1 paper), Frailty in Older Adults (1 paper) and Biochemical Acid Research Studies (1 paper). The work is most often cited by research in Family Practice (22 citations), Geriatrics and Gerontology (33 citations), Physical Therapy, Sports Therapy and Rehabilitation (37 citations), Psychiatry and Mental health (58 citations) and Physiology (68 citations). Kuo‐Chen Liao has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Yung‐Chang Chen, Yau‐Hua Yu, Chih‐Wei Yang, H.-K. Kuo, T Y Tai, Han-Pin Kuo, Jonathan F. Bean, Chung‐Jen Yen, Suzanne G. Leveille and Chien‐Da Huang. Their work appears in journals such as BMC Medical Education, Aging Clinical and Experimental Research, Medical Education, Biomedical Journal and The Journals of Gerontology Series A.

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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