Yaping Chu
- Neurology top 0.1%
- Parkinson's Disease Mechanisms and Treatments 29
- Neurological disorders and treatments 16
- Cellular and Molecular Neuroscience top 0.2%
- Nerve injury and regeneration 29
- Genetic Neurodegenerative Diseases 10
- Nuclear Receptors and Signaling 10
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms 7
- Neurology top 0.5%
- Parkinson's Disease Mechanisms and Treatments 29
- Neurological disorders and treatments 16
- Physiology top 1%
- Alzheimer's disease research and treatments 12
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- RNA Interference and Gene Delivery 6
- Co-authors
- Jeffrey H. KordowerC. Warren OlanowThomas B. FreemanRobert A. HauserHemraj B. DodiyaRaymond T. BartusPatrick AebischerGlenda M. Halliday
- Partner nations
- United StatesChinaFrance
In The Last Decade
Yaping Chu
70 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Neurology 4.1k
- Cellular and Molecular Neuroscience 4.1k
- Developmental Neuroscience 800
- Neurology 1.2k
- Physiology 1.7k
Countries citing papers authored by Yaping Chu
This map shows the geographic impact of Yaping 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 Yaping Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaping Chu more than expected).
Fields of papers citing papers by Yaping Chu
This network shows the impact of papers produced by Yaping 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 Yaping Chu. The network helps show where Yaping Chu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yaping 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 10 | |
| 2 | 2023 | 61 | |
| 3 | 2023 | 15 | |
| 4 | 2023 | 11 | |
| 5 | 2019 | 14 | |
| 6 | 2017 | 26 | |
| 7 | 2017 | 37 | |
| 8 | 2017 | 196 | |
| 9 | 2016 | 7 | |
| 10 | 2015 | 53 | |
| 11 | 2015 | 102 | |
| 12 | 2014 | 56 | |
| 13 | 2009 | 142 | |
| 14 | 2009 | 76 | |
| 15 | Lewy body–like pathology in long-term embryonic nigral transplants in Parkinson's diseasebreakdown → | 2008 | 1240 |
| 16 | 2008 | 28 | |
| 17 | 2007 | 131 | |
| 18 | 2006 | 333 | |
| 19 | 2005 | 16 | |
| 20 | 2005 | 177 |
About Yaping Chu
Yaping Chu is a scholar working on Cellular and Molecular Neuroscience, Neurology and Developmental Neuroscience, having authored 70 papers that have together received 8.2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (29 papers), Nerve injury and regeneration (29 papers), Neurological disorders and treatments (16 papers), Alzheimer's disease research and treatments (12 papers), Genetic Neurodegenerative Diseases (10 papers), Nuclear Receptors and Signaling (10 papers), Neurogenesis and neuroplasticity mechanisms (7 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Neurology (4.1k citations), Cellular and Molecular Neuroscience (4.1k citations) and Developmental Neuroscience (800 citations). Yaping Chu has collaborated with scholars based in United States, China and France. Frequent co-authors include Jeffrey H. Kordower, C. Warren Olanow, Thomas B. Freeman, Robert A. Hauser, Hemraj B. Dodiya, Raymond T. Bartus, Patrick Aebischer, Glenda M. Halliday, Charles H. Adler and Thomas G. Beach. Their work appears in journals such as Neurobiology of Disease, Brain, Experimental Neurology, The Journal of Comparative Neurology and Movement Disorders.
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.