Yu‐I Li
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Intracerebral and Subarachnoid Hemorrhage Research
- Intracranial Aneurysms: Treatment and Complications
- Clinical Biochemistry top 10%
- Advanced Glycation End Products research
Papers in
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- Microbial metabolism and enzyme function 2
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- Neuroinflammation and Neurodegeneration Mechanisms 3
- Co-authors
- Thiruma V. Arumugam (6 shared papers)Renee Leboeuf (2 shared papers)Sung‐Chun Tang (6 shared papers)Gary W. Elmer (1 shared paper)Jiann‐Shing Jeng (3 shared papers)Silvia Manzanero (4 shared papers)Mark P. Mattson (2 shared papers)Wei‐Shiung Yang (2 shared papers)
- Journals
- Journal of Cerebral Blood Flow & Metabolism (2 papers)Experimental Neurology (1 paper)Life Sciences (1 paper)Brain Pathology (1 paper)Translational research (1 paper)
- Partner nations
- TaiwanAustraliaUnited States
In The Last Decade
Yu‐I Li
11 papers receiving 325 citations
Peers
Comparison fields: 5 of 64
- Neurology 98
- Clinical Biochemistry 53
- Complementary and alternative medicine 31
- Neurology 55
- Immunology 62
Countries citing papers authored by Yu‐I Li
This map shows the geographic impact of Yu‐I 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 Yu‐I Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐I Li more than expected).
Fields of papers citing papers by Yu‐I Li
This network shows the impact of papers produced by Yu‐I 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 Yu‐I Li. The network helps show where Yu‐I Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐I 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 | 2013 | 77 | |
| 2 | 2008 | 49 | |
| 3 | 2010 | 44 | |
| 4 | 2016 | 39 | |
| 5 | 2016 | 35 | |
| 6 | 2013 | 27 | |
| 7 | 2018 | 22 | |
| 8 | 2009 | 15 | |
| 9 | 2013 | 13 | |
| 10 | 2012 | 12 | |
| 11 | 2015 | 1 | |
| 12 | 2016 | 0 |
About Yu‐I Li
Yu‐I Li is a scholar working on Molecular Biology, Neurology, Immunology, Surgery and Pathology and Forensic Medicine, having authored 12 papers that have together received 334 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Microbial metabolism and enzyme function (2 papers), Immune Response and Inflammation (2 papers), Pancreatic function and diabetes (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Alzheimer's disease research and treatments (1 paper) and Alcohol Consumption and Health Effects (1 paper). The work is most often cited by research in Neurology (98 citations), Clinical Biochemistry (53 citations), Complementary and alternative medicine (31 citations), Neurology (55 citations) and Immunology (62 citations). Yu‐I Li has collaborated with scholars based in Taiwan, Australia and United States. Frequent co-authors include Thiruma V. Arumugam, Renee Leboeuf, Sung‐Chun Tang, Gary W. Elmer, Jiann‐Shing Jeng, Silvia Manzanero, Mark P. Mattson, Wei‐Shiung Yang, Yi‐Shuian Huang and Dong‐Gyu Jo. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, Experimental Neurology, Life Sciences, Brain Pathology and Translational research.
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.