Chun‐Ping Chu
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
- Neurology top 5%
- Vestibular and auditory disorders
Papers in
-
- Neuroscience and Neuropharmacology Research 43
- Neurology 23
- Vestibular and auditory disorders 21
- Co-authors
- De‐Lai Qiu (61 shared papers)Hiroshi Kannan (11 shared papers)Kazuo Kato (7 shared papers)Ri Jin (7 shared papers)Lei Sun (4 shared papers)Heng Liu (6 shared papers)Takato Kunitake (5 shared papers)Shōichi Watanabe (4 shared papers)
- Journals
- Frontiers in Cellular Neuroscience (7 papers)Brain Research (5 papers)Pharmacology (4 papers)European Journal of Pharmacology (4 papers)Neuroreport (3 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Chun‐Ping Chu
59 papers receiving 446 citations
Peers
Comparison fields: 5 of 63
- Behavioral Neuroscience 79
- Neurology 135
- Cellular and Molecular Neuroscience 291
- Endocrine and Autonomic Systems 99
- Sensory Systems 57
Countries citing papers authored by Chun‐Ping Chu
This map shows the geographic impact of Chun‐Ping Chu'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 Chun‐Ping Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Ping Chu more than expected).
Fields of papers citing papers by Chun‐Ping Chu
This network shows the impact of papers produced by Chun‐Ping Chu. 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 Chun‐Ping Chu. The network helps show where Chun‐Ping Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun‐Ping Chu, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 30 | |
| 2 | 2006 | 30 | |
| 3 | 2011 | 29 | |
| 4 | 2004 | 26 | |
| 5 | 2014 | 18 | |
| 6 | 2015 | 16 | |
| 7 | 2014 | 15 | |
| 8 | 2016 | 14 | |
| 9 | 2014 | 14 | |
| 10 | 2014 | 12 | |
| 11 | 2018 | 12 | |
| 12 | 2013 | 10 | |
| 13 | 2003 | 10 | |
| 14 | 2003 | 10 | |
| 15 | 2016 | 10 | |
| 16 | 2008 | 10 | |
| 17 | 2016 | 9 | |
| 18 | 2019 | 9 | |
| 19 | 2014 | 9 | |
| 20 | 2019 | 8 |
About Chun‐Ping Chu
Chun‐Ping Chu is a scholar working on Cellular and Molecular Neuroscience, Neurology, Cognitive Neuroscience, Molecular Biology and Endocrine and Autonomic Systems, having authored 63 papers that have together received 450 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (43 papers), Vestibular and auditory disorders (21 papers), Neuroscience of respiration and sleep (14 papers), Neural dynamics and brain function (14 papers), Stress Responses and Cortisol (12 papers), Neuroendocrine regulation and behavior (11 papers), Ion channel regulation and function (8 papers) and Hormonal Regulation and Hypertension (5 papers). The work is most often cited by research in Behavioral Neuroscience (79 citations), Neurology (135 citations), Cellular and Molecular Neuroscience (291 citations), Endocrine and Autonomic Systems (99 citations) and Sensory Systems (57 citations). Chun‐Ping Chu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include De‐Lai Qiu, Hiroshi Kannan, Kazuo Kato, Ri Jin, Lei Sun, Heng Liu, Takato Kunitake, Shōichi Watanabe, Qinghua Jin and Guoyan Zhao. Their work appears in journals such as Frontiers in Cellular Neuroscience, Brain Research, Pharmacology, European Journal of Pharmacology and Neuroreport.
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.