Ge Li
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
- Alzheimer's disease research and treatments
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Inflammasome and immune disorders 5
- Neurology 11
- Neuroinflammation and Neurodegeneration Mechanisms 8
- Vagus Nerve Stimulation Research 3
- Traumatic Brain Injury and Neurovascular Disturbances 2
- Co-authors
- Fengyin Liang (10 shared papers)Xiaofei He (11 shared papers)Zhong Pei (12 shared papers)Zhong Pei (4 shared papers)Xiquan Hu (4 shared papers)Ke‐Fu Wu (2 shared papers)Mingyue Li (3 shared papers)Guoguang Zheng (2 shared papers)
- Journals
- Cell Death and Disease (2 papers)Experimental Dermatology (1 paper)Archives of Oral Biology (1 paper)Journal of Neuroinflammation (1 paper)Stem Cell Research & Therapy (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ge Li
41 papers receiving 839 citations
Peers
Comparison fields: 5 of 98
- Physiology 99
- Neurology 125
- Biological Psychiatry 29
- Periodontics 30
- Cellular and Molecular Neuroscience 124
Countries citing papers authored by Ge Li
This map shows the geographic impact of Ge 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 Ge Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Li more than expected).
Fields of papers citing papers by Ge Li
This network shows the impact of papers produced by Ge 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 Ge Li. The network helps show where Ge Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ge 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 81 | |
| 2 | 2021 | 74 | |
| 3 | 2020 | 73 | |
| 4 | 2018 | 69 | |
| 5 | 2019 | 50 | |
| 6 | 2020 | 43 | |
| 7 | 2019 | 38 | |
| 8 | 2019 | 37 | |
| 9 | 2017 | 37 | |
| 10 | 2021 | 32 | |
| 11 | 2018 | 31 | |
| 12 | 2024 | 27 | |
| 13 | 2020 | 27 | |
| 14 | 2020 | 22 | |
| 15 | 2020 | 21 | |
| 16 | 2024 | 15 | |
| 17 | 2018 | 15 | |
| 18 | 2022 | 14 | |
| 19 | 2022 | 14 | |
| 20 | 2018 | 13 |
About Ge Li
Ge Li is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Neurology and Immunology, having authored 41 papers that have together received 848 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Inflammasome and immune disorders (5 papers), Cerebrospinal fluid and hydrocephalus (4 papers), Adenosine and Purinergic Signaling (4 papers), Immune cells in cancer (3 papers), Vagus Nerve Stimulation Research (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). The work is most often cited by research in Physiology (99 citations), Neurology (125 citations), Biological Psychiatry (29 citations), Periodontics (30 citations) and Cellular and Molecular Neuroscience (124 citations). Ge Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fengyin Liang, Xiaofei He, Zhong Pei, Zhong Pei, Xiquan Hu, Ke‐Fu Wu, Mingyue Li, Guoguang Zheng, Qing Rao and Yukun Feng. Their work appears in journals such as Cell Death and Disease, Experimental Dermatology, Archives of Oral Biology, Journal of Neuroinflammation and Stem Cell Research & Therapy.
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.