Ke Liao
Impact in
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms
- Vestibular and auditory disorders
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
Papers in
-
- Extracellular vesicles in disease 16
- Neurology 34
- Vestibular and auditory disorders 16
- Neuroinflammation and Neurodegeneration Mechanisms 14
- Co-authors
- Shilpa Buch (31 shared papers)Fang Niu (22 shared papers)Shannon Callen (10 shared papers)Guoku Hu (23 shared papers)Palsamy Periyasamy (11 shared papers)Ming‐Lei Guo (7 shared papers)Lu Yang (10 shared papers)Richard Leigh (15 shared papers)
- Journals
- Annals of the New York Academy of Sciences (6 papers)Journal of Neuroimmune Pharmacology (5 papers)Neurology (4 papers)Frontiers in Cell and Developmental Biology (3 papers)Progress in brain research (3 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Ke Liao
72 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 123
- Neurology 793
- Biological Psychiatry 195
- Virology 330
- Cancer Research 572
- Molecular Biology 1.2k
Countries citing papers authored by Ke Liao
This map shows the geographic impact of Ke Liao'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 Ke Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Liao more than expected).
Fields of papers citing papers by Ke Liao
This network shows the impact of papers produced by Ke Liao. 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 Ke Liao. The network helps show where Ke Liao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Liao, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 162 | |
| 2 | 2014 | 137 | |
| 3 | 2018 | 133 | |
| 4 | 2015 | 118 | |
| 5 | 2018 | 118 | |
| 6 | 2017 | 105 | |
| 7 | 2010 | 103 | |
| 8 | 2016 | 98 | |
| 9 | 2010 | 94 | |
| 10 | 2018 | 90 | |
| 11 | 2019 | 89 | |
| 12 | 2012 | 84 | |
| 13 | 2018 | 64 | |
| 14 | 2020 | 57 | |
| 15 | 2021 | 51 | |
| 16 | 2020 | 49 | |
| 17 | 2018 | 46 | |
| 18 | 2022 | 45 | |
| 19 | 2019 | 45 | |
| 20 | 2008 | 43 |
About Ke Liao
Ke Liao is a scholar working on Molecular Biology, Neurology, Cancer Research, Pathology and Forensic Medicine and Virology, having authored 73 papers that have together received 2.5k indexed citations. Recurring topics across this work include Vestibular and auditory disorders (16 papers), Extracellular vesicles in disease (16 papers), MicroRNA in disease regulation (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Ophthalmology and Eye Disorders (14 papers), HIV Research and Treatment (11 papers), Cancer-related molecular mechanisms research (9 papers) and Glaucoma and retinal disorders (5 papers). The work is most often cited by research in Neurology (793 citations), Biological Psychiatry (195 citations), Virology (330 citations), Cancer Research (572 citations) and Molecular Biology (1.2k citations). Ke Liao has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Shilpa Buch, Fang Niu, Shannon Callen, Guoku Hu, Palsamy Periyasamy, Ming‐Lei Guo, Lu Yang, Richard Leigh, Susmita Sil and Ernest T. Chivero. Their work appears in journals such as Annals of the New York Academy of Sciences, Journal of Neuroimmune Pharmacology, Neurology, Frontiers in Cell and Developmental Biology and Progress in brain 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.