Nai‐Wen Kan
- Rehabilitation top 2%
- Exercise and Physiological Responses 9
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine 4
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- Cardiovascular and exercise physiology 11
- Physiology top 10%
- Adipose Tissue and Metabolism 4
- Physical Activity and Health 4
- Cell Biology top 10%
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- Sports Performance and Training 6
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- Heart Rate Variability and Autonomic Control 6
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- Muscle Physiology and Disorders 2
- Co-authors
- Chi‐Chang HuangWen-Ching HuangChin-Shan HoChen-Chung LiaoYu‐Kai ChangYi-Ju HsuMon-Chien LeeYu‐Tang Tung
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (1 paper)Molecules (4 papers)
In The Last Decade
Nai‐Wen Kan
25 papers receiving 545 citations
Peers
Comparison fields: 5 of 89
- Rehabilitation 197
- Geriatrics and Gerontology 94
- Complementary and alternative medicine 86
- Physiology 235
- Cell Biology 129
Countries citing papers authored by Nai‐Wen Kan
This map shows the geographic impact of Nai‐Wen Kan'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 Nai‐Wen Kan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nai‐Wen Kan more than expected).
Fields of papers citing papers by Nai‐Wen Kan
This network shows the impact of papers produced by Nai‐Wen Kan. 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 Nai‐Wen Kan. The network helps show where Nai‐Wen Kan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nai‐Wen Kan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 0 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 19 | |
| 9 | 2020 | 8 | |
| 10 | 2020 | 29 | |
| 11 | 2020 | 3 | |
| 12 | 2017 | 53 | |
| 13 | 2017 | 41 | |
| 14 | 2017 | 3 | |
| 15 | 2016 | 7 | |
| 16 | JUMPS IN DIFFERENT LEVELS OF WATER: AN OPTIMAL ENVIRONMENT TO JUMP ON LAND | 2015 | 1 |
| 17 | 2015 | 36 | |
| 18 | Responses of blood pressure and lactate levels to various aquatic exercise movements in postmenopausal women. | 2015 | 3 |
| 19 | 2014 | 20 | |
| 20 | 2013 | 21 |
About Nai‐Wen Kan
Nai‐Wen Kan is a scholar working on Complementary and alternative medicine, Rehabilitation and Geriatrics and Gerontology, having authored 28 papers that have together received 561 indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (11 papers), Exercise and Physiological Responses (9 papers), Sports Performance and Training (6 papers), Heart Rate Variability and Autonomic Control (6 papers), Sirtuins and Resveratrol in Medicine (4 papers), Adipose Tissue and Metabolism (4 papers), Physical Activity and Health (4 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Rehabilitation (197 citations), Geriatrics and Gerontology (94 citations) and Complementary and alternative medicine (86 citations). Nai‐Wen Kan has collaborated with scholars based in Taiwan, China and Peru. Frequent co-authors include Chi‐Chang Huang, Wen-Ching Huang, Chin-Shan Ho, Chen-Chung Liao, Yu‐Kai Chang, Yi-Ju Hsu, Mon-Chien Lee, Yu‐Tang Tung, Yi‐Ming Chen and Chien‐Chang Ho. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Molecules.
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.