Dai Li
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Physiology top 5%
- Pain Mechanisms and Treatments
Papers in
-
- Signaling Pathways in Disease 4
- Histone Deacetylase Inhibitors Research 3
- Physiology 27
- Pain Mechanisms and Treatments 23
- Co-authors
- Wen‐Jun Xin (11 shared papers)Xian‐Guo Liu (7 shared papers)Zhenzhen Huang (6 shared papers)Ting Xu (7 shared papers)Li‐Jun Zhou (4 shared papers)Yu Cui (3 shared papers)Yong Liu (3 shared papers)Yuan‐Jian Li (4 shared papers)
- Journals
- Neurochemical Research (7 papers)Anesthesiology (3 papers)Journal of Neuroscience (3 papers)Cancers (2 papers)World Journal of Surgical Oncology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Dai Li
74 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 134
- Neurology 226
- Physiology 618
- Cancer Research 309
- Biological Psychiatry 48
- Pharmacology 164
Countries citing papers authored by Dai Li
This map shows the geographic impact of Dai 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 Dai Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Li more than expected).
Fields of papers citing papers by Dai Li
This network shows the impact of papers produced by Dai 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 Dai Li. The network helps show where Dai Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Dai 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 296 | |
| 2 | 2020 | 136 | |
| 3 | 2019 | 108 | |
| 4 | 2014 | 106 | |
| 5 | 2019 | 78 | |
| 6 | 2009 | 72 | |
| 7 | 2014 | 71 | |
| 8 | 2014 | 61 | |
| 9 | 2013 | 60 | |
| 10 | 2017 | 48 | |
| 11 | 2010 | 44 | |
| 12 | 2013 | 40 | |
| 13 | 2016 | 40 | |
| 14 | 2016 | 38 | |
| 15 | 2014 | 36 | |
| 16 | 2017 | 35 | |
| 17 | 2020 | 34 | |
| 18 | 2019 | 34 | |
| 19 | 2017 | 29 | |
| 20 | 2007 | 27 |
About Dai Li
Dai Li is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Oncology and Surgery, having authored 79 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (23 papers), Cancer Treatment and Pharmacology (7 papers), Neuropeptides and Animal Physiology (6 papers), Nerve injury and regeneration (5 papers), Pharmacological Effects of Natural Compounds (4 papers), Signaling Pathways in Disease (4 papers), Histone Deacetylase Inhibitors Research (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Neurology (226 citations), Physiology (618 citations), Cancer Research (309 citations), Biological Psychiatry (48 citations) and Pharmacology (164 citations). Dai Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Wen‐Jun Xin, Xian‐Guo Liu, Zhenzhen Huang, Ting Xu, Li‐Jun Zhou, Yu Cui, Yong Liu, Yuan‐Jian Li, Jia‐You Wei and Shishuang Zhang. Their work appears in journals such as Neurochemical Research, Anesthesiology, Journal of Neuroscience, Cancers and World Journal of Surgical Oncology.
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.