Cang Chen
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
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- Nerve injury and regeneration
Papers in
-
- Advanced biosensing and bioanalysis techniques 4
- Advanced Biosensing Techniques and Applications 4
- RNA Interference and Gene Delivery 3
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- Biosensors and Analytical Detection 5
- Co-authors
- Dike N. Kalu (4 shared papers)Senlin Li (13 shared papers)Hongchen Gu (9 shared papers)Yao Wang (8 shared papers)Hong Xu (9 shared papers)Robert A. Clark (7 shared papers)Jason C. O’Connor (3 shared papers)Yanmao Wang (1 shared paper)
- Journals
- PLoS ONE (2 papers)Frontiers in Microbiology (2 papers)Construction and Building Materials (2 papers)Remote Sensing (2 papers)Small (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Cang Chen
51 papers receiving 861 citations
Peers
Comparison fields: 5 of 137
- Neurology 112
- Cellular and Molecular Neuroscience 134
- Developmental Neuroscience 22
- Biological Psychiatry 13
- Neurology 44
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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 79 | |
| 2 | 2022 | 66 | |
| 3 | 2013 | 55 | |
| 4 | 2016 | 53 | |
| 5 | 1999 | 46 | |
| 6 | 2021 | 44 | |
| 7 | 2018 | 38 | |
| 8 | 1997 | 38 | |
| 9 | 2013 | 37 | |
| 10 | 2021 | 36 | |
| 11 | 2021 | 31 | |
| 12 | 2020 | 26 | |
| 13 | 2019 | 24 | |
| 14 | 2020 | 21 | |
| 15 | 2016 | 20 | |
| 16 | 2023 | 19 | |
| 17 | 2017 | 18 | |
| 18 | 2021 | 16 | |
| 19 | 1998 | 16 | |
| 20 | 2019 | 14 |
About Cang Chen
Cang Chen is a scholar working on Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience, Neurology and Genetics, having authored 51 papers that have together received 875 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Nerve injury and regeneration (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Advanced Biosensing Techniques and Applications (4 papers), RNA Interference and Gene Delivery (3 papers), Renal cell carcinoma treatment (2 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Neurology (112 citations), Cellular and Molecular Neuroscience (134 citations), Developmental Neuroscience (22 citations), Biological Psychiatry (13 citations) and Neurology (44 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 Xu, Robert A. Clark, Jason C. O’Connor, Yanmao Wang, Yu Zhu and Yimin Chai. Their work appears in journals such as PLoS ONE, Frontiers in Microbiology, Construction and Building Materials, Remote Sensing and Small.
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.