Yu‐Hui Lin
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Histone Deacetylase Inhibitors Research 4
- Receptor Mechanisms and Signaling 3
-
- Neuroscience and Neuropharmacology Research 14
- Co-authors
- Chun‐Xia Luo (32 shared papers)Dong‐Ya Zhu (29 shared papers)Hai‐Yin Wu (30 shared papers)Lei Chang (24 shared papers)Lei Chang (7 shared papers)Cheng‐Feng Qin (9 shared papers)Huanyu Ni (8 shared papers)Haiying Liang (8 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (5 papers)Journal of Neuroscience (4 papers)PLoS ONE (2 papers)Cerebral Cortex (2 papers)European Journal of Pharmacology (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Yu‐Hui Lin
63 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 128
- Behavioral Neuroscience 89
- Neurology 196
- Developmental Neuroscience 88
- Biological Psychiatry 42
- Cellular and Molecular Neuroscience 316
Countries citing papers authored by Yu‐Hui Lin
This map shows the geographic impact of Yu‐Hui Lin'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‐Hui Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Hui Lin more than expected).
Fields of papers citing papers by Yu‐Hui Lin
This network shows the impact of papers produced by Yu‐Hui Lin. 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‐Hui Lin. The network helps show where Yu‐Hui Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Hui Lin, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 84 | |
| 2 | 2019 | 84 | |
| 3 | 2014 | 80 | |
| 4 | 2014 | 74 | |
| 5 | 2017 | 72 | |
| 6 | 2010 | 63 | |
| 7 | 2015 | 59 | |
| 8 | 2020 | 56 | |
| 9 | 2017 | 56 | |
| 10 | 2015 | 55 | |
| 11 | 2023 | 51 | |
| 12 | 2017 | 41 | |
| 13 | 2016 | 39 | |
| 14 | 2014 | 35 | |
| 15 | 2017 | 34 | |
| 16 | 2020 | 32 | |
| 17 | 2018 | 30 | |
| 18 | 2019 | 29 | |
| 19 | 2019 | 26 | |
| 20 | 2021 | 24 |
About Yu‐Hui Lin
Yu‐Hui Lin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Physiology and Cognitive Neuroscience, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Memory and Neural Mechanisms (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Pain Mechanisms and Treatments (5 papers), Stress Responses and Cortisol (4 papers), Histone Deacetylase Inhibitors Research (4 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Behavioral Neuroscience (89 citations), Neurology (196 citations), Developmental Neuroscience (88 citations), Biological Psychiatry (42 citations) and Cellular and Molecular Neuroscience (316 citations). Yu‐Hui Lin has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Chun‐Xia Luo, Dong‐Ya Zhu, Hai‐Yin Wu, Lei Chang, Lei Chang, Cheng‐Feng Qin, Huanyu Ni, Haiying Liang, Jian Dong and Cheng-Yun Cai. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Neuroscience, PLoS ONE, Cerebral Cortex and European Journal of Pharmacology.
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.