Yu‐I Li
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Intracerebral and Subarachnoid Hemorrhage Research
- Biological Psychiatry top 10%
Papers in
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- Microbial metabolism and enzyme function 2
-
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Traumatic Brain Injury and Neurovascular Disturbances 1
- Co-authors
- Thiruma V. Arumugam (7 shared papers)Silvia Manzanero (5 shared papers)Mark P. Mattson (3 shared papers)Dong‐Gyu Jo (4 shared papers)John Thundyil (2 shared papers)Christopher G. Sobey (3 shared papers)Mathias Gelderblom (2 shared papers)Alexander Widiapradja (2 shared papers)
- Journals
- Journal of Cerebral Blood Flow & Metabolism (2 papers)Experimental Neurology (1 paper)Metabolism (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- TaiwanAustraliaUnited States
In The Last Decade
Yu‐I Li
12 papers receiving 759 citations
Peers
Comparison fields: 5 of 79
- Neurology 216
- Biological Psychiatry 32
- Clinical Biochemistry 49
- Immunology 132
- Molecular Biology 409
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 | 431 | |
| 2 | 2013 | 79 | |
| 3 | 2008 | 50 | |
| 4 | 2010 | 43 | |
| 5 | 2016 | 41 | |
| 6 | 2016 | 35 | |
| 7 | 2013 | 27 | |
| 8 | 2018 | 22 | |
| 9 | 2009 | 15 | |
| 10 | 2013 | 13 | |
| 11 | 2012 | 12 | |
| 12 | 2015 | 1 | |
| 13 | 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 13 papers that have together received 769 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), Sarcoma Diagnosis and Treatment (1 paper), Alzheimer's disease research and treatments (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Optical Coherence Tomography Applications (1 paper). The work is most often cited by research in Neurology (216 citations), Biological Psychiatry (32 citations), Clinical Biochemistry (49 citations), Immunology (132 citations) and Molecular Biology (409 citations). Yu‐I Li has collaborated with scholars based in Taiwan, Australia and United States. Frequent co-authors include Thiruma V. Arumugam, Silvia Manzanero, Mark P. Mattson, Dong‐Gyu Jo, John Thundyil, Christopher G. Sobey, Mathias Gelderblom, Alexander Widiapradja, Tim Magnus and Christian Bernreuther. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, Experimental Neurology, Metabolism, Arteriosclerosis Thrombosis and Vascular Biology and Cell Death and Disease.
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.