Chunyu Li
Impact in
Papers in
- Neurology 79
- Parkinson's Disease Mechanisms and Treatments 47
- Amyotrophic Lateral Sclerosis Research 38
- Neurological diseases and metabolism 12
- Neurological disorders and treatments 9
- Neuroinflammation and Neurodegeneration Mechanisms 9
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- RNA regulation and disease 11
- Co-authors
- Huifang Shang (90 shared papers)Yiting Feng (1 shared paper)Xikun Zhou (1 shared paper)Jiawei Zhou (1 shared paper)Ziwei Tang (1 shared paper)Siyang Gao (1 shared paper)Bruce Friedman (2 shared papers)Yeates Conwell (1 shared paper)
- Journals
- Neurobiology of Aging (10 papers)Journal of Neurology (8 papers)Molecular Neurobiology (7 papers)Movement Disorders (6 papers)Frontiers in Neurology (6 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Chunyu Li
186 papers receiving 3.6k citations
Chunyu Li's Hit Papers
Peers
Comparison fields: 5 of 170
- Genetics 472
- Neurology 596
- Neurology 291
- Cancer Research 317
- Biological Psychiatry 50
Countries citing papers authored by Chunyu Li
This map shows the geographic impact of Chunyu Li'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 Chunyu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunyu Li more than expected).
Fields of papers citing papers by Chunyu Li
This network shows the impact of papers produced by Chunyu Li. 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 Chunyu Li. The network helps show where Chunyu Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunyu Li, 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 203 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tumor-Associated Macrophages: Recent Insights and Therapies Hit paper breakdown → | 2020 | 472 |
| 2 | 2015 | 308 | |
| 3 | 2007 | 261 | |
| 4 | 2017 | 88 | |
| 5 | 2022 | 83 | |
| 6 | 2015 | 77 | |
| 7 | 2018 | 76 | |
| 8 | 2016 | 68 | |
| 9 | 2015 | 64 | |
| 10 | 2016 | 58 | |
| 11 | 2004 | 56 | |
| 12 | 2021 | 54 | |
| 13 | 2017 | 54 | |
| 14 | 2017 | 54 | |
| 15 | 2020 | 44 | |
| 16 | 2004 | 40 | |
| 17 | 2013 | 38 | |
| 18 | 2017 | 38 | |
| 19 | 2019 | 36 | |
| 20 | 2021 | 36 |
About Chunyu Li
Chunyu Li is a scholar working on Neurology, Molecular Biology, Genetics, Physiology and Cellular and Molecular Neuroscience, having authored 203 papers that have together received 3.7k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (47 papers), Amyotrophic Lateral Sclerosis Research (38 papers), Neurogenetic and Muscular Disorders Research (26 papers), Neurological diseases and metabolism (12 papers), RNA regulation and disease (11 papers), Alzheimer's disease research and treatments (10 papers), Neurological disorders and treatments (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). The work is most often cited by research in Genetics (472 citations), Neurology (596 citations), Neurology (291 citations), Cancer Research (317 citations) and Biological Psychiatry (50 citations). Chunyu Li has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Huifang Shang, Yiting Feng, Xikun Zhou, Jiawei Zhou, Ziwei Tang, Siyang Gao, Bruce Friedman, Yeates Conwell, Kevin Fiscella and Qianqian Wei. Their work appears in journals such as Neurobiology of Aging, Journal of Neurology, Molecular Neurobiology, Movement Disorders and Frontiers in Neurology.
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.