Wei‐Jye Lin
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- RNA Research and Splicing 7
- RNA modifications and cancer 6
- Receptor Mechanisms and Signaling 4
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- Nerve injury and regeneration 6
- Co-authors
- Stephen R. Salton (15 shared papers)Cheng Jiang (13 shared papers)Ching‐Yi Chen (7 shared papers)Masato Sadahiro (8 shared papers)Roberto Gherzi (3 shared papers)Yamei Tang (13 shared papers)T-H Lin (1 shared paper)Shauh-Der Yeh (1 shared paper)
- Journals
- Nature Communications (4 papers)Acta Neuropathologica Communications (2 papers)Neuropeptides (2 papers)Cell Reports (2 papers)The FASEB Journal (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wei‐Jye Lin
47 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 98
- Biological Psychiatry 113
- Neurology 214
- Behavioral Neuroscience 88
- Developmental Neuroscience 91
- Cellular and Molecular Neuroscience 315
Countries citing papers authored by Wei‐Jye Lin
This map shows the geographic impact of Wei‐Jye 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 Wei‐Jye Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Jye Lin more than expected).
Fields of papers citing papers by Wei‐Jye Lin
This network shows the impact of papers produced by Wei‐Jye 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 Wei‐Jye Lin. The network helps show where Wei‐Jye Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Jye 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 137 | |
| 2 | 2021 | 128 | |
| 3 | 2006 | 96 | |
| 4 | 2017 | 90 | |
| 5 | 2021 | 89 | |
| 6 | 2015 | 86 | |
| 7 | 2020 | 79 | |
| 8 | 2011 | 72 | |
| 9 | 2011 | 68 | |
| 10 | 2020 | 65 | |
| 11 | 2012 | 57 | |
| 12 | 2007 | 52 | |
| 13 | 2018 | 46 | |
| 14 | 2017 | 42 | |
| 15 | 2012 | 40 | |
| 16 | 2014 | 36 | |
| 17 | 2013 | 35 | |
| 18 | 2018 | 31 | |
| 19 | 2022 | 29 | |
| 20 | 2021 | 25 |
About Wei‐Jye Lin
Wei‐Jye Lin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Physiology and Developmental Neuroscience, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), RNA Research and Splicing (7 papers), Nerve injury and regeneration (6 papers), RNA modifications and cancer (6 papers), Alzheimer's disease research and treatments (5 papers), Stress Responses and Cortisol (5 papers), Tryptophan and brain disorders (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Biological Psychiatry (113 citations), Neurology (214 citations), Behavioral Neuroscience (88 citations), Developmental Neuroscience (91 citations) and Cellular and Molecular Neuroscience (315 citations). Wei‐Jye Lin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Stephen R. Salton, Cheng Jiang, Ching‐Yi Chen, Masato Sadahiro, Roberto Gherzi, Yamei Tang, T-H Lin, Shauh-Der Yeh, Keisuke Izumi and Chawnshang Chang. Their work appears in journals such as Nature Communications, Acta Neuropathologica Communications, Neuropeptides, Cell Reports and The FASEB Journal.
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.