Dan Li
Impact in
- Drug Discovery top 1%
-
- Traditional Chinese Medicine Analysis
Papers in
-
- Traditional Chinese Medicine Analysis 11
- Neurology 28
- Neuroinflammation and Neurodegeneration Mechanisms 14
- Co-authors
- Yongsheng Wang (3 shared papers)Cheng Yun Peng (18 shared papers)Benxia Zhang (1 shared paper)Houhui Shi (1 shared paper)Kai Li (1 shared paper)Xuejin Ou (1 shared paper)Qizhi Ma (1 shared paper)Yue Chen (1 shared paper)
- Journals
- Frontiers in Immunology (14 papers)Frontiers in Pharmacology (9 papers)Phytomedicine (7 papers)Toxicology and Applied Pharmacology (6 papers)Fitoterapia (5 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Dan Li
376 papers receiving 10.4k citations
Dan Li's Hit Papers
Peers
Comparison fields: 5 of 150
- Drug Discovery 30
- Complementary and alternative medicine 700
- Biological Psychiatry 93
- Immunology 1.1k
- Cancer Research 750
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 385 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Myeloid-derived suppressor cells as immunosuppressive regulators and therapeutic targets in cancer Hit paper breakdown → | 2021 | 746 |
| 2 | Ferulic acid: A review of its pharmacology, pharmacokinetics and derivatives Hit paper breakdown → | 2021 | 397 |
| 3 | 2015 | 312 | |
| 4 | 2017 | 256 | |
| 5 | 2021 | 220 | |
| 6 | 2014 | 195 | |
| 7 | 2020 | 180 | |
| 8 | 2008 | 173 | |
| 9 | 2016 | 152 | |
| 10 | 2008 | 145 | |
| 11 | 2017 | 139 | |
| 12 | 2013 | 132 | |
| 13 | 2018 | 116 | |
| 14 | 2010 | 105 | |
| 15 | 2009 | 103 | |
| 16 | 2009 | 92 | |
| 17 | 2022 | 91 | |
| 18 | 2016 | 89 | |
| 19 | 2022 | 89 | |
| 20 | 2018 | 87 |
About Dan Li
Dan Li is a scholar working on Complementary and alternative medicine, Neurology, Immunology, Molecular Biology and Epidemiology, having authored 385 papers that have together received 10.6k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (21 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Cancer, Hypoxia, and Metabolism (12 papers), Traditional Chinese Medicine Analysis (11 papers), Wound Healing and Treatments (10 papers), Sirtuins and Resveratrol in Medicine (10 papers), Phytochemistry and Biological Activities (9 papers) and Epigenetics and DNA Methylation (9 papers). The work is most often cited by research in Drug Discovery (30 citations), Complementary and alternative medicine (700 citations), Biological Psychiatry (93 citations), Immunology (1.1k citations) and Cancer Research (750 citations). Dan Li has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Yongsheng Wang, Cheng Yun Peng, Benxia Zhang, Houhui Shi, Kai Li, Xuejin Ou, Qizhi Ma, Yue Chen, Pei Shu and Ligen Lin. Their work appears in journals such as Frontiers in Immunology, Frontiers in Pharmacology, Phytomedicine, Toxicology and Applied Pharmacology and Fitoterapia.
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.