Chin-Pyng Wu
- Pulmonary and Respiratory Medicine top 10%
- Critical Care and Intensive Care Medicine top 1%
- Radiological and Ultrasound Technology top 2%
- Molecular Biology
- Oncology
- Co-authors
- Ling-Ling ChiangLiying WangHuey‐Dong WuYing-Tai WuWann-Cherng PerngChou-Chin LanChien-Ling SuShi-Jye Chu
- Topics
- Respiratory Support and Mechanisms (8 papers)Intensive Care Unit Cognitive Disorders (4 papers)Family and Patient Care in Intensive Care Units (4 papers)
- Cited by
- Critical Care and Intensive Care MedicineRadiological and Ultrasound TechnologyPulmonary and Respiratory Medicine
- Partner nations
- TaiwanUnited StatesItaly
In The Last Decade
Chin-Pyng Wu
17 papers receiving 749 citations
Peers
Comparison fields: 5 of 94
- Pulmonary and Respiratory Medicine 388
- Critical Care and Intensive Care Medicine 290
- Radiological and Ultrasound Technology 152
- Molecular Biology 115
- Oncology 104
Countries citing papers authored by Chin-Pyng Wu
This map shows the geographic impact of Chin-Pyng 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 Chin-Pyng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin-Pyng Wu more than expected).
Fields of papers citing papers by Chin-Pyng Wu
This network shows the impact of papers produced by Chin-Pyng 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 Chin-Pyng Wu. The network helps show where Chin-Pyng Wu may publish in the future.
Co-authorship network of co-authors of Chin-Pyng Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Chin-Pyng Wu. A scholar is included among the top collaborators of Chin-Pyng Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chin-Pyng Wu. Chin-Pyng Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 37 | |
| 4 | 53 | |
| 5 | 50 | |
| 6 | 146 | |
| 7 | 11 | |
| 8 | 32 | |
| 9 | 74 | |
| 10 | 36 | |
| 11 | 7 | |
| 12 | 33 | |
| 13 | 23 | |
| 14 | 184 | |
| 15 | 32 | |
| 16 | 23 | |
| 17 | 30 |
About Chin-Pyng Wu
Chin-Pyng Wu is a scholar working on Critical Care and Intensive Care Medicine, Radiological and Ultrasound Technology and Emergency Medicine, having authored 17 papers that have together received 779 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (8 papers), Intensive Care Unit Cognitive Disorders (4 papers) and Family and Patient Care in Intensive Care Units (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (290 citations), Radiological and Ultrasound Technology (152 citations) and Pulmonary and Respiratory Medicine (388 citations). Chin-Pyng Wu has collaborated with scholars based in Taiwan, United States and Italy. Frequent co-authors include Ling-Ling Chiang, Liying Wang, Huey‐Dong Wu, Ying-Tai Wu, Wann-Cherng Perng, Chou-Chin Lan, Chien-Ling Su, Shi-Jye Chu, Chien-Ling Su and Shih‐Hung Tsai. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Scientific Reports and CHEST Journal.
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.