Chen‐Jung Wu
Impact in
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
- Parathyroid Disorders and Treatments
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- Nutrition and Health in Aging
- Body Composition Measurement Techniques
Papers in
- Physiology 15
- Nutrition and Health in Aging 9
- Body Composition Measurement Techniques 5
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- Cardiovascular Disease and Adiposity 5
- Co-authors
- Tung‐Wei Kao (35 shared papers)Wei‐Liang Chen (35 shared papers)Yuan‐Yuei Chen (24 shared papers)Chung‐Ching Wang (22 shared papers)Hui‐Fang Yang (21 shared papers)Yaw‐Wen Chang (17 shared papers)Yu‐Shan Sun (13 shared papers)Wen‐Hui Fang (14 shared papers)
In The Last Decade
Chen‐Jung Wu
37 papers receiving 476 citations
Peers
Comparison fields: 5 of 94
- Nephrology 69
- Physiology 160
- Geriatrics and Gerontology 19
- Aging 8
- Orthopedics and Sports Medicine 37
Countries citing papers authored by Chen‐Jung Wu
This map shows the geographic impact of Chen‐Jung Wu'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 Chen‐Jung Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen‐Jung Wu more than expected).
Fields of papers citing papers by Chen‐Jung Wu
This network shows the impact of papers produced by Chen‐Jung Wu. 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 Chen‐Jung Wu. The network helps show where Chen‐Jung Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen‐Jung Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 41 | |
| 2 | 2016 | 36 | |
| 3 | 2017 | 34 | |
| 4 | 2017 | 33 | |
| 5 | 2019 | 33 | |
| 6 | 2019 | 24 | |
| 7 | 2018 | 23 | |
| 8 | 2019 | 22 | |
| 9 | 2019 | 18 | |
| 10 | 2019 | 17 | |
| 11 | 2020 | 16 | |
| 12 | 2018 | 15 | |
| 13 | 2019 | 15 | |
| 14 | 2019 | 13 | |
| 15 | 2018 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2017 | 10 | |
| 18 | 2019 | 9 | |
| 19 | 2016 | 9 | |
| 20 | 2018 | 8 |
About Chen‐Jung Wu
Chen‐Jung Wu is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism and Health, Toxicology and Mutagenesis, having authored 38 papers that have together received 481 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (9 papers), Body Composition Measurement Techniques (5 papers), Nutritional Studies and Diet (5 papers), Cardiovascular Disease and Adiposity (5 papers), Air Quality and Health Impacts (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Bone health and osteoporosis research (3 papers) and Toxic Organic Pollutants Impact (3 papers). The work is most often cited by research in Nephrology (69 citations), Physiology (160 citations), Geriatrics and Gerontology (19 citations), Aging (8 citations) and Orthopedics and Sports Medicine (37 citations). Chen‐Jung Wu has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Tung‐Wei Kao, Wei‐Liang Chen, Yuan‐Yuei Chen, Chung‐Ching Wang, Hui‐Fang Yang, Yaw‐Wen Chang, Yu‐Shan Sun, Wen‐Hui Fang, Tao‐Chun Peng and Ching‐Huang Lai. Their work appears in journals such as Scientific Reports, PLoS ONE, Environmental Science and Pollution Research, Geriatrics and gerontology international and Clinica Chimica Acta.
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.