Pei‐Chen Wu
- Nephrology top 1%
- Acute Kidney Injury Research 10
- Chronic Kidney Disease and Diabetes 6
- Dialysis and Renal Disease Management 5
- Ophthalmology top 2%
- Retinal Diseases and Treatments 5
- Epidemiology top 10%
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- Prenatal Screening and Diagnostics 10
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- Genomic variations and chromosomal abnormalities 7
- Genetic Syndromes and Imprinting 3
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- Cardiac, Anesthesia and Surgical Outcomes 6
- Co-authors
- Vin‐Cent WuChih‐Jen WuCheng‐Jui LinChien-Neng KuoTao‐Min HuangKwan‐Dun WuChau-Yin ChenChe‐Hsiung Wu
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Pei‐Chen Wu
56 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Nephrology 566
- Ophthalmology 319
- Critical Care and Intensive Care Medicine 94
- Radiology, Nuclear Medicine and Imaging 369
- Epidemiology 452
Countries citing papers authored by Pei‐Chen Wu
This map shows the geographic impact of Pei‐Chen 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 Pei‐Chen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei‐Chen Wu more than expected).
Fields of papers citing papers by Pei‐Chen Wu
This network shows the impact of papers produced by Pei‐Chen 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 Pei‐Chen Wu. The network helps show where Pei‐Chen Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pei‐Chen 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 14 | |
| 2 | 2023 | 2 | |
| 3 | 2019 | 91 | |
| 4 | 2018 | 6 | |
| 5 | 2018 | 41 | |
| 6 | Myopia Prevention and Outdoor Light Intensity in a School-Based Cluster Randomized Trialbreakdown → | 2018 | 356 |
| 7 | 2018 | 24 | |
| 8 | 2017 | 7 | |
| 9 | 2017 | 4 | |
| 10 | 2015 | 206 | |
| 11 | 2014 | 39 | |
| 12 | 2014 | 10 | |
| 13 | 2012 | 22 | |
| 14 | 2012 | 5 | |
| 15 | 2011 | 6 | |
| 16 | 2011 | 1 | |
| 17 | 2011 | 5 | |
| 18 | 2011 | 24 | |
| 19 | 2011 | 62 | |
| 20 | 2011 | 1 |
About Pei‐Chen Wu
Pei‐Chen Wu is a scholar working on Nephrology, Ophthalmology, Pediatrics, Perinatology and Child Health, Cardiology and Cardiovascular Medicine and Biological Psychiatry, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Acute Kidney Injury Research (10 papers), Prenatal Screening and Diagnostics (10 papers), Genomic variations and chromosomal abnormalities (7 papers), Chronic Kidney Disease and Diabetes (6 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers), Retinal Diseases and Treatments (5 papers), Dialysis and Renal Disease Management (5 papers) and Genetic Syndromes and Imprinting (3 papers). The work is most often cited by research in Nephrology (566 citations), Ophthalmology (319 citations), Critical Care and Intensive Care Medicine (94 citations), Radiology, Nuclear Medicine and Imaging (369 citations) and Epidemiology (452 citations). Pei‐Chen Wu has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Vin‐Cent Wu, Chih‐Jen Wu, Cheng‐Jui Lin, Chien-Neng Kuo, Tao‐Min Huang, Kwan‐Dun Wu, Chau-Yin Chen, Che‐Hsiung Wu, Hung‐Bin Tsai and Chi‐Feng Pan. Their work appears in journals such as PLoS ONE, Scientific Reports, Plants, Taiwanese Journal of Obstetrics and Gynecology and Clinical Journal of the American Society of Nephrology.
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.