Chenli Li
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
-
- Metabolism, Diabetes, and Cancer 2
- Receptor Mechanisms and Signaling 2
-
- Neuropeptides and Animal Physiology 2
- Co-authors
- Chuang Wang (7 shared papers)Mengmeng Li (3 shared papers)Jinting Wang (2 shared papers)Xin Sun (2 shared papers)Yanhua Zhang (1 shared paper)Qinwen Wang (4 shared papers)Xiaowan Chen (3 shared papers)Qing H. Meng (3 shared papers)
- Journals
- Cancer Biology & Therapy (2 papers)ACS Chemical Neuroscience (1 paper)iScience (1 paper)Science Advances (1 paper)Journal of Neuroinflammation (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Chenli Li
16 papers receiving 549 citations
Peers
Comparison fields: 5 of 85
- Biological Psychiatry 198
- Behavioral Neuroscience 128
- Neurology 109
- Cancer Research 93
- Developmental Neuroscience 23
Countries citing papers authored by Chenli Li
This map shows the geographic impact of Chenli 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 Chenli Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenli Li more than expected).
Fields of papers citing papers by Chenli Li
This network shows the impact of papers produced by Chenli 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 Chenli Li. The network helps show where Chenli Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenli 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 185 | |
| 2 | 2015 | 63 | |
| 3 | 2016 | 62 | |
| 4 | 2016 | 49 | |
| 5 | 2017 | 34 | |
| 6 | 2016 | 26 | |
| 7 | 2017 | 26 | |
| 8 | 2018 | 22 | |
| 9 | 2015 | 20 | |
| 10 | 2016 | 18 | |
| 11 | 2016 | 17 | |
| 12 | 2024 | 15 | |
| 13 | 2022 | 10 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2014 | 1 | |
| 17 | 2013 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2023 | 0 |
About Chenli Li
Chenli Li is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Pharmacology and Behavioral Neuroscience, having authored 19 papers that have together received 557 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Stress Responses and Cortisol (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Neuropeptides and Animal Physiology (2 papers), Tryptophan and brain disorders (2 papers), Cancer-related molecular mechanisms research (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Biological Psychiatry (198 citations), Behavioral Neuroscience (128 citations), Neurology (109 citations), Cancer Research (93 citations) and Developmental Neuroscience (23 citations). Chenli Li has collaborated with scholars based in China and United States. Frequent co-authors include Chuang Wang, Mengmeng Li, Jinting Wang, Xin Sun, Yanhua Zhang, Qinwen Wang, Xiaowan Chen, Qing H. Meng, Jianxin Lyu and Tiantian He. Their work appears in journals such as Cancer Biology & Therapy, ACS Chemical Neuroscience, iScience, Science Advances and Journal of Neuroinflammation.
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.