Fangang Meng
- Neurology top 1%
- Neurological disorders and treatments 73
- Parkinson's Disease Mechanisms and Treatments 47
- Transcranial Magnetic Stimulation Studies 14
- Botulinum Toxin and Related Neurological Disorders 12
- Neurology top 2%
- Neurological disorders and treatments 73
- Parkinson's Disease Mechanisms and Treatments 47
- Transcranial Magnetic Stimulation Studies 14
- Botulinum Toxin and Related Neurological Disorders 12
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- Neuroscience and Neural Engineering 15
- Genetic Neurodegenerative Diseases 14
- Cancer Research top 5%
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 25
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- Epilepsy research and treatment 19
- Journals
- Nature Communications (3 papers)SHILAP Revista de lepidopterología (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Fangang Meng
153 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 143
- Neurology 810
- Neurology 337
- Cellular and Molecular Neuroscience 635
- Cancer Research 519
- Cognitive Neuroscience 568
Countries citing papers authored by Fangang Meng
This map shows the geographic impact of Fangang Meng'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 Fangang Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangang Meng more than expected).
Fields of papers citing papers by Fangang Meng
This network shows the impact of papers produced by Fangang Meng. 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 Fangang Meng. The network helps show where Fangang Meng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fangang Meng, 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 | 2024 | 26 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 10 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 44 | |
| 11 | 2023 | 2 | |
| 12 | 2021 | 111 | |
| 13 | 2019 | 9 | |
| 14 | 2017 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2016 | 118 | |
| 17 | 2013 | 13 | |
| 18 | 2013 | 3 | |
| 19 | 2013 | 1 | |
| 20 | 2010 | 1 |
About Fangang Meng
Fangang Meng is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 163 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neurological disorders and treatments (73 papers), Parkinson's Disease Mechanisms and Treatments (47 papers), EEG and Brain-Computer Interfaces (25 papers), Epilepsy research and treatment (19 papers), Neuroscience and Neural Engineering (15 papers), Genetic Neurodegenerative Diseases (14 papers), Transcranial Magnetic Stimulation Studies (14 papers) and Botulinum Toxin and Related Neurological Disorders (12 papers). The work is most often cited by research in Neurology (810 citations), Neurology (337 citations) and Cellular and Molecular Neuroscience (635 citations). Fangang Meng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jianguo Zhang, Kai Zhang, Chunlei Han, Kailiang Wang, Ning Chen, Wenhan Hu, Ming Ge, Anchao Yang, Chao Zhang and Yin Jiang. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Neuroscience.
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.