Cang Chen
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
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- Nerve injury and regeneration
Papers in
-
- Parkinson's Disease Mechanisms and Treatments 5
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- Advanced biosensing and bioanalysis techniques 4
- Advanced Biosensing Techniques and Applications 4
- RNA Interference and Gene Delivery 3
- Co-authors
- Dike N. Kalu (4 shared papers)Senlin Li (13 shared papers)Hongchen Gu (9 shared papers)Yao Wang (8 shared papers)Hong Yan Xu (8 shared papers)Robert Alfred Clark (7 shared papers)Jason C. O’Connor (3 shared papers)Yanmao Wang (1 shared paper)
- Journals
- Mechanisms of Ageing and Development (2 papers)Frontiers in Microbiology (2 papers)Small (2 papers)Remote Sensing (2 papers)Sensors and Actuators B Chemical (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Cang Chen
53 papers receiving 964 citations
Peers
Comparison fields: 5 of 139
- Neurology 120
- Cellular and Molecular Neuroscience 138
- Neurology 48
- Orthopedics and Sports Medicine 45
- Developmental Neuroscience 22
Countries citing papers authored by Cang Chen
This map shows the geographic impact of Cang Chen'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 Cang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cang Chen more than expected).
Fields of papers citing papers by Cang Chen
This network shows the impact of papers produced by Cang Chen. 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 Cang Chen. The network helps show where Cang Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Cang Chen, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 87 | |
| 2 | 2022 | 82 | |
| 3 | 2016 | 58 | |
| 4 | 2013 | 57 | |
| 5 | 1999 | 50 | |
| 6 | 1997 | 47 | |
| 7 | 2021 | 45 | |
| 8 | 2018 | 39 | |
| 9 | 2013 | 39 | |
| 10 | 2021 | 37 | |
| 11 | 2021 | 32 | |
| 12 | 2022 | 30 | |
| 13 | 2020 | 26 | |
| 14 | 2020 | 25 | |
| 15 | 2019 | 25 | |
| 16 | 2017 | 21 | |
| 17 | 2016 | 20 | |
| 18 | 2023 | 20 | |
| 19 | 2021 | 18 | |
| 20 | 1998 | 17 |
About Cang Chen
Cang Chen is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Water Science and Technology and Biomedical Engineering, having authored 55 papers that have together received 993 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Biosensors and Analytical Detection (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Advanced Biosensing Techniques and Applications (4 papers), Nerve injury and regeneration (4 papers), RNA Interference and Gene Delivery (3 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Neurology (120 citations), Cellular and Molecular Neuroscience (138 citations), Neurology (48 citations), Orthopedics and Sports Medicine (45 citations) and Developmental Neuroscience (22 citations). Cang Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dike N. Kalu, Senlin Li, Hongchen Gu, Yao Wang, Hong Yan Xu, Robert Alfred Clark, Jason C. O’Connor, Yanmao Wang, Yu Mei Zhu and Yimin Chai. Their work appears in journals such as Mechanisms of Ageing and Development, Frontiers in Microbiology, Small, Remote Sensing and Sensors and Actuators B Chemical.
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.