Ran Li
Impact in
- Neurology top 5%
- Intracerebral and Subarachnoid Hemorrhage Research
- Neuroinflammation and Neurodegeneration Mechanisms
- Intracranial Aneurysms: Treatment and Complications
- Geriatrics and Gerontology top 10%
Papers in
- Epidemiology 19
- Adipokines, Inflammation, and Metabolic Diseases 7
- Autophagy in Disease and Therapy 7
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- Cardiac Fibrosis and Remodeling 6
- Co-authors
- Junling Gao (6 shared papers)Yanxia Tian (6 shared papers)Lu Gao (5 shared papers)Yingguang Shan (9 shared papers)Ying Cui (4 shared papers)Richard C. Wang (4 shared papers)Yuan Liu (5 shared papers)Xiaohua Jiang (4 shared papers)
- Journals
- Frontiers in Immunology (3 papers)Frontiers in Pharmacology (3 papers)Cellular Physiology and Biochemistry (2 papers)International Journal of Biological Sciences (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ran Li
80 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 132
- Neurology 222
- Neurology 111
- Geriatrics and Gerontology 40
- Epidemiology 339
- Developmental Neuroscience 41
Countries citing papers authored by Ran Li
This map shows the geographic impact of Ran 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 Ran Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Li more than expected).
Fields of papers citing papers by Ran Li
This network shows the impact of papers produced by Ran 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 Ran Li. The network helps show where Ran Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 178 | |
| 2 | 2016 | 77 | |
| 3 | 2019 | 75 | |
| 4 | 2013 | 62 | |
| 5 | 2020 | 61 | |
| 6 | 2013 | 55 | |
| 7 | 2015 | 48 | |
| 8 | 2017 | 47 | |
| 9 | 2024 | 46 | |
| 10 | 2018 | 45 | |
| 11 | 2017 | 43 | |
| 12 | 2019 | 39 | |
| 13 | 2016 | 37 | |
| 14 | 2020 | 36 | |
| 15 | 2019 | 36 | |
| 16 | 2021 | 35 | |
| 17 | 2018 | 34 | |
| 18 | 2018 | 34 | |
| 19 | 2019 | 33 | |
| 20 | 2020 | 30 |
About Ran Li
Ran Li is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery and Neurology, having authored 83 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Autophagy in Disease and Therapy (7 papers), Cardiac Fibrosis and Remodeling (6 papers), Coronary Interventions and Diagnostics (6 papers), Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Adipose Tissue and Metabolism (4 papers), Signaling Pathways in Disease (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). The work is most often cited by research in Neurology (222 citations), Neurology (111 citations), Geriatrics and Gerontology (40 citations), Epidemiology (339 citations) and Developmental Neuroscience (41 citations). Ran Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Junling Gao, Yanxia Tian, Lu Gao, Yingguang Shan, Ying Cui, Richard C. Wang, Yuan Liu, Xiaohua Jiang, Ke Ma and Xue Li. Their work appears in journals such as Frontiers in Immunology, Frontiers in Pharmacology, Cellular Physiology and Biochemistry, International Journal of Biological Sciences and Scientific Reports.
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.