Ping‐Hsun Wu
Impact in
- Nephrology top 2%
- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
- Nephrology 23
- Dialysis and Renal Disease Management 17
- Chronic Kidney Disease and Diabetes 7
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- Gut microbiota and health 11
- Co-authors
- Yi‐Ting Lin (42 shared papers)Mei‐Chuan Kuo (29 shared papers)Shang‐Jyh Hwang (23 shared papers)Yi‐Wen Chiu (31 shared papers)Ya‐Ling Hsu (12 shared papers)Po‐Lin Kuo (8 shared papers)Yi‐Chun Tsai (16 shared papers)Ming‐Yen Lin (20 shared papers)
- Journals
- Scientific Reports (9 papers)PLoS ONE (8 papers)Nephrology Dialysis Transplantation (5 papers)Journal of Personalized Medicine (5 papers)Journal of Clinical Medicine (4 papers)
- Partner nations
- TaiwanSwedenUnited States
In The Last Decade
Ping‐Hsun Wu
95 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 138
- Nephrology 306
- Biological Psychiatry 43
- Computational Mathematics 8
- Cardiology and Cardiovascular Medicine 113
- Physiology 126
Countries citing papers authored by Ping‐Hsun Wu
This map shows the geographic impact of Ping‐Hsun 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 Ping‐Hsun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping‐Hsun Wu more than expected).
Fields of papers citing papers by Ping‐Hsun Wu
This network shows the impact of papers produced by Ping‐Hsun 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 Ping‐Hsun Wu. The network helps show where Ping‐Hsun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping‐Hsun 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 67 | |
| 2 | 2020 | 56 | |
| 3 | 2019 | 51 | |
| 4 | 2016 | 46 | |
| 5 | 2013 | 46 | |
| 6 | 2019 | 45 | |
| 7 | 2019 | 43 | |
| 8 | 2016 | 41 | |
| 9 | 2021 | 40 | |
| 10 | 2019 | 38 | |
| 11 | 2018 | 37 | |
| 12 | 2023 | 37 | |
| 13 | 2015 | 32 | |
| 14 | 2018 | 32 | |
| 15 | 2014 | 30 | |
| 16 | 2013 | 30 | |
| 17 | 2021 | 28 | |
| 18 | 2012 | 28 | |
| 19 | 2016 | 28 | |
| 20 | 2013 | 26 |
About Ping‐Hsun Wu
Ping‐Hsun Wu is a scholar working on Nephrology, Molecular Biology, Surgery, Electrical and Electronic Engineering and Cardiology and Cardiovascular Medicine, having authored 103 papers that have together received 1.4k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (17 papers), Gut microbiota and health (11 papers), Radio Frequency Integrated Circuit Design (11 papers), Chronic Kidney Disease and Diabetes (7 papers), Advanced Power Amplifier Design (7 papers), Microwave Engineering and Waveguides (5 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Birth, Development, and Health (5 papers). The work is most often cited by research in Nephrology (306 citations), Biological Psychiatry (43 citations), Computational Mathematics (8 citations), Cardiology and Cardiovascular Medicine (113 citations) and Physiology (126 citations). Ping‐Hsun Wu has collaborated with scholars based in Taiwan, Sweden and United States. Frequent co-authors include Yi‐Ting Lin, Mei‐Chuan Kuo, Shang‐Jyh Hwang, Yi‐Wen Chiu, Ya‐Ling Hsu, Po‐Lin Kuo, Yi‐Chun Tsai, Ming‐Yen Lin, Wei‐An Chang and Yi‐Hsin Yang. Their work appears in journals such as Scientific Reports, PLoS ONE, Nephrology Dialysis Transplantation, Journal of Personalized Medicine and Journal of Clinical Medicine.
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.