Chaoran Wu
Impact in
- Sensory Systems top 10%
- Ion Channels and Receptors
- Physiology top 10%
- Pain Mechanisms and Treatments
Papers in
-
- Pain Mechanisms and Treatments 7
- Surgery 6
- Anesthesia and Pain Management 4
- Co-authors
- Timothy J. Brennan (5 shared papers)Ratan K. Banik (2 shared papers)Alberto Subieta (1 shared paper)Leila M. Boustany (1 shared paper)Liang Hong (1 shared paper)Li Song (2 shared papers)Fei Yu (4 shared papers)Narender R. Gavva (1 shared paper)
- Journals
- Anesthesiology (4 papers)Journal of Clinical Anesthesia (2 papers)Pain (2 papers)Nonlinear Dynamics (2 papers)Experimental Neurology (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Chaoran Wu
23 papers receiving 567 citations
Peers
Comparison fields: 5 of 80
- Sensory Systems 55
- Physiology 287
- Cellular and Molecular Neuroscience 122
- Neurology 47
- Anesthesiology and Pain Medicine 29
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 85 | |
| 2 | 2007 | 72 | |
| 3 | 2008 | 61 | |
| 4 | 2008 | 41 | |
| 5 | 2015 | 39 | |
| 6 | 2020 | 39 | |
| 7 | 2009 | 34 | |
| 8 | 2022 | 31 | |
| 9 | 2019 | 30 | |
| 10 | 2024 | 29 | |
| 11 | 2023 | 26 | |
| 12 | 2024 | 20 | |
| 13 | 2024 | 19 | |
| 14 | 2019 | 18 | |
| 15 | 2016 | 6 | |
| 16 | 2016 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2015 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2020 | 3 |
About Chaoran Wu
Chaoran Wu is a scholar working on Physiology, Surgery, Cellular and Molecular Neuroscience, Neurology and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 574 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (7 papers), Anesthesia and Pain Management (4 papers), Nerve injury and regeneration (3 papers), Chaos-based Image/Signal Encryption (3 papers), Chaos control and synchronization (3 papers), Ion Channels and Receptors (3 papers), Long-Term Effects of COVID-19 (2 papers) and Spine and Intervertebral Disc Pathology (2 papers). The work is most often cited by research in Sensory Systems (55 citations), Physiology (287 citations), Cellular and Molecular Neuroscience (122 citations), Neurology (47 citations) and Anesthesiology and Pain Medicine (29 citations). Chaoran Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Timothy J. Brennan, Ratan K. Banik, Alberto Subieta, Leila M. Boustany, Liang Hong, Li Song, Fei Yu, Narender R. Gavva, Yunxia Zuo and Kenneth D. Wild. Their work appears in journals such as Anesthesiology, Journal of Clinical Anesthesia, Pain, Nonlinear Dynamics and Experimental Neurology.
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.