Huimin Chen
- Neurology top 5%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Pulmonary and Respiratory Medicine
- Cancer Research top 10%
- Co-authors
- Zhaoying ChenTao FengYan WangJiaqi ChenHuizi MaLingyan MaJing‐Yuan FangXuan Kong
- Topics
- Parkinson's Disease Mechanisms and Treatments (20 papers)Neurological disorders and treatments (18 papers)Genetic Neurodegenerative Diseases (8 papers)
- Cited by
- NeurologyCognitive Neuroscience
- Journals
- Journal of Agricultural and Food ChemistryScientific ReportsBiochemical and Biophysical Research Communications
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Huimin Chen
83 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 114
- Neurology 401
- Molecular Biology 287
- Cognitive Neuroscience 215
- Pulmonary and Respiratory Medicine 165
- Cancer Research 164
Countries citing papers authored by Huimin Chen
This map shows the geographic impact of Huimin 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 Huimin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huimin Chen more than expected).
Fields of papers citing papers by Huimin Chen
This network shows the impact of papers produced by Huimin 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 Huimin Chen. The network helps show where Huimin Chen may publish in the future.
Co-authorship network of co-authors of Huimin Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Huimin Chen. A scholar is included among the top collaborators of Huimin Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huimin Chen. Huimin Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | Correlation Between Lacunae and the Wearing-off Phenomenon in Parkinson’s Disease | 2 |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 8 | |
| 13 | 8 | |
| 14 | 21 | |
| 15 | 22 | |
| 16 | BMP2 promotes the differentiation of neural stem cells into dopaminergic neurons in vitro via miR-145-mediated upregulation of Nurr1 expression. | 18 |
| 17 | 34 | |
| 18 | 12 | |
| 19 | 24 | |
| 20 | 12 |
About Huimin Chen
Huimin Chen is a scholar working on Neurology, Complementary and Manual Therapy and Cellular and Molecular Neuroscience, having authored 90 papers that have together received 1.4k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (20 papers), Neurological disorders and treatments (18 papers) and Genetic Neurodegenerative Diseases (8 papers). The work is most often cited by research in Neurology (401 citations), Neurology (143 citations) and Cognitive Neuroscience (215 citations). Huimin Chen has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Zhaoying Chen, Tao Feng, Yan Wang, Jiaqi Chen, Huizi Ma, Lingyan Ma, Jing‐Yuan Fang, Tao Feng, Xuan Kong and Fang Jingyuan. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Biochemical and Biophysical Research Communications.
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.