Chaoran Wu
Impact in
- Physiology top 10%
- Pain Mechanisms and Treatments
- Sensory Systems top 10%
- Ion Channels and Receptors
Papers in
-
- Pain Mechanisms and Treatments 5
- Co-authors
- Timothy J. Brennan (6 shared papers)Ratan K. Banik (2 shared papers)Alberto R. Subieta (1 shared paper)Leila M. Boustany (1 shared paper)Liang Hong (1 shared paper)Fei Yu (4 shared papers)Narender R. Gavva (1 shared paper)Li Song (2 shared papers)
- Journals
- Anesthesiology (4 papers)Journal of Clinical Anesthesia (2 papers)Nonlinear Dynamics (2 papers)Pain (2 papers)Progress in Neuro-Psychopharmacology and Biological Psychiatry (1 paper)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Chaoran Wu
24 papers receiving 632 citations
Peers
Comparison fields: 5 of 80
- Physiology 235
- Sensory Systems 37
- Anesthesiology and Pain Medicine 28
- Statistical and Nonlinear Physics 69
- Neurology 39
Countries citing papers authored by Chaoran Wu
This map shows the geographic impact of Chaoran 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 Chaoran Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaoran Wu more than expected).
Fields of papers citing papers by Chaoran Wu
This network shows the impact of papers produced by Chaoran 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 Chaoran Wu. The network helps show where Chaoran Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaoran 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 90 | |
| 2 | 2007 | 79 | |
| 3 | 2008 | 64 | |
| 4 | 2008 | 44 | |
| 5 | 2024 | 44 | |
| 6 | 2020 | 41 | |
| 7 | 2015 | 41 | |
| 8 | 2023 | 37 | |
| 9 | 2022 | 34 | |
| 10 | 2009 | 34 | |
| 11 | 2019 | 31 | |
| 12 | 2024 | 24 | |
| 13 | 2019 | 20 | |
| 14 | 2024 | 20 | |
| 15 | 2016 | 9 | |
| 16 | 2016 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2015 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2010 | 3 |
About Chaoran Wu
Chaoran Wu is a scholar working on Developmental Neuroscience, Physiology, Statistical and Nonlinear Physics, Nephrology and Pediatrics, Perinatology and Child Health, having authored 29 papers that have together received 643 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (5 papers), Pediatric Pain Management Techniques (3 papers), Chaos-based Image/Signal Encryption (3 papers), Chaos control and synchronization (3 papers), Anesthesia and Pain Management (3 papers), COVID-19 Clinical Research Studies (2 papers), Congenital Diaphragmatic Hernia Studies (2 papers) and Pain Management and Placebo Effect (2 papers). The work is most often cited by research in Physiology (235 citations), Sensory Systems (37 citations), Anesthesiology and Pain Medicine (28 citations), Statistical and Nonlinear Physics (69 citations) and Neurology (39 citations). Chaoran Wu has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Timothy J. Brennan, Ratan K. Banik, Alberto R. Subieta, Leila M. Boustany, Liang Hong, Fei Yu, Narender R. Gavva, Li Song, Yunxia Zuo and Wei Yao. Their work appears in journals such as Anesthesiology, Journal of Clinical Anesthesia, Nonlinear Dynamics, Pain and Progress in Neuro-Psychopharmacology and Biological Psychiatry.
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.