Kuo Tang

404 citations
9 papers · 212 · 1 hit paper · h-index 7

Impact in

    • Frailty in Older Adults
    • Nutrition and Health in Aging
    • Body Composition Measurement Techniques
    • Diet and metabolism studies
    • Adipose Tissue and Metabolism

Papers in

    • Nutrition and Health in Aging 2
    • Body Composition Measurement Techniques 1
    • Ion channel regulation and function 1
    • Muscle Physiology and Disorders 1

Kuo Tang

9 papers receiving 210 citations

Kuo Tang's Hit Papers

Sarcopenia and cardiovascular diseases: A systematic review and meta‐analysis 2023 · 99 citations
990+1+2Years since publication255075

Peers

Kuo Tang
Comparison fields: 5 of 43
  • Geriatrics and Gerontology 14
  • Physiology 96
  • Endocrine and Autonomic Systems 10
  • Biological Psychiatry 2
  • Nephrology 5
Replace Siqian Gong with:
Siqian Gong China
Manthos G. Giannoulis United Kingdom
Thomas M. Cassimatis United States
A Makhlouf Switzerland
Yolanda Stewart United States
Chuan Qin China
Sergei Romashkan United States
Bahadir Simsek United States
Maude Dulac Canada
Mátyás Jókai Hungary
Kuo Tang relative to Siqian Gong China Siqian Gong's profile →
Citations per field
00.5×4.1×
Siqian Gong · 1×
Citations per year

Countries citing papers authored by Kuo Tang

Since Specialization
Citations

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

Fields of papers citing papers by Kuo Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Sarcopenia and cardiovascular diseases: A systematic review and meta‐analysis
Hit paper breakdown →
202399
2 202444
3 202521
4 202313
5 202211
6 202311
7 202210
8 20252
9 20251

About Kuo Tang

Kuo Tang is a scholar working on Physiology, Molecular Biology, Genetics, Cellular and Molecular Neuroscience and Rehabilitation, having authored 9 papers that have together received 212 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (2 papers), Body Composition Measurement Techniques (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Obesity, Physical Activity, Diet (1 paper), Muscle metabolism and nutrition (1 paper), High Altitude and Hypoxia (1 paper), Ion channel regulation and function (1 paper) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Geriatrics and Gerontology (14 citations), Physiology (96 citations), Endocrine and Autonomic Systems (10 citations), Biological Psychiatry (2 citations) and Nephrology (5 citations). Kuo Tang has collaborated with scholars based in China and United States. Frequent co-authors include Tao Li, Rui Zhao, Yang Wang, Xue Li, Peilin Lu, Maodi Xie, Yi Kang, Min Xie, Shisheng Wang and Kening Lu. Their work appears in journals such as Travel Medicine and Infectious Disease, British Journal of Anaesthesia, Diabetes, EMBO Reports and Cell Metabolism.

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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