Dan Li
Impact in
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments
- Physiology top 1%
- Alzheimer's disease research and treatments
Papers in
-
- RNA Research and Splicing 19
- Protein Structure and Dynamics 14
- Heat shock proteins research 11
- Prion Diseases and Protein Misfolding 9
- Physiology 55
- Alzheimer's disease research and treatments 48
- Co-authors
- Cong Liu (81 shared papers)Zhenying Liu (16 shared papers)Chunyu Zhao (11 shared papers)Xinrui Gui (6 shared papers)Feng Luo (6 shared papers)Shengnan Zhang (27 shared papers)Jinge Gu (18 shared papers)Xueming Li (5 shared papers)
- Journals
- Nature Communications (12 papers)Proceedings of the National Academy of Sciences (11 papers)Journal of Biological Chemistry (5 papers)Nature Chemical Biology (4 papers)Nature Structural & Molecular Biology (4 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Dan Li
209 papers receiving 5.9k citations
Dan Li's Hit Papers
Peers
Comparison fields: 5 of 157
- Neurology 1.1k
- Physiology 1.3k
- Biomaterials 616
- Molecular Biology 2.6k
- Neurology 277
Countries citing papers authored by Dan Li
This map shows the geographic impact of Dan 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 Dan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Li more than expected).
Fields of papers citing papers by Dan Li
This network shows the impact of papers produced by Dan 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 Dan Li. The network helps show where Dan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 220 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Amyloid fibril structure of α-synuclein determined by cryo-electron microscopy Hit paper breakdown → | 2018 | 357 |
| 2 | 2018 | 185 | |
| 3 | 2019 | 164 | |
| 4 | 2020 | 158 | |
| 5 | 2011 | 138 | |
| 6 | 2015 | 132 | |
| 7 | 2020 | 126 | |
| 8 | 2020 | 114 | |
| 9 | 2020 | 112 | |
| 10 | 2019 | 106 | |
| 11 | 2014 | 97 | |
| 12 | 2013 | 96 | |
| 13 | 2016 | 90 | |
| 14 | 2022 | 88 | |
| 15 | 2020 | 88 | |
| 16 | 2022 | 86 | |
| 17 | 2018 | 78 | |
| 18 | 2021 | 77 | |
| 19 | 2017 | 72 | |
| 20 | 2020 | 72 |
About Dan Li
Dan Li is a scholar working on Molecular Biology, Physiology, Neurology, Biomaterials and Cell Biology, having authored 220 papers that have together received 5.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (48 papers), Parkinson's Disease Mechanisms and Treatments (37 papers), RNA Research and Splicing (19 papers), Neurological disorders and treatments (17 papers), Protein Structure and Dynamics (14 papers), Heat shock proteins research (11 papers), Supramolecular Self-Assembly in Materials (10 papers) and Prion Diseases and Protein Misfolding (9 papers). The work is most often cited by research in Neurology (1.1k citations), Physiology (1.3k citations), Biomaterials (616 citations), Molecular Biology (2.6k citations) and Neurology (277 citations). Dan Li has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Cong Liu, Zhenying Liu, Chunyu Zhao, Xinrui Gui, Feng Luo, Shengnan Zhang, Jinge Gu, Xueming Li, Yunpeng Sun and Kun Zhao. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Nature Chemical Biology and Nature Structural & Molecular Biology.
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.