Yu Lin
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
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- Traditional Chinese Medicine Analysis
Papers in ⓘ
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- Natural product bioactivities and synthesis 2
- RNA modifications and cancer 2
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- Traditional Chinese Medicine Analysis 6
- Co-authors
- Wei Xu (14 shared papers)Wen Xu (8 shared papers)Kedan Chu (9 shared papers)Yuqin Zhang (9 shared papers)Lishuang Yu (6 shared papers)Jihe Zhao (3 shared papers)Mingqing Huang (4 shared papers)Melissa S. Wason (2 shared papers)
- Journals
- Molecules (3 papers)Evidence-based Complementary and Alternative Medicine (3 papers)Journal of Biological Chemistry (2 papers)Neurochemical Research (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yu Lin
29 papers receiving 548 citations
Peers
Comparison fields: 5 of 96
- Neurology 74
- Complementary and alternative medicine 73
- Biological Psychiatry 20
- Pharmacology 46
- Biochemistry 27
Countries citing papers authored by Yu Lin
This map shows the geographic impact of Yu 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 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 Lin more than expected).
Fields of papers citing papers by Yu Lin
This network shows the impact of papers produced by Yu 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 Lin. The network helps show where Yu Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 54 | |
| 2 | 2018 | 45 | |
| 3 | 2015 | 42 | |
| 4 | 2011 | 39 | |
| 5 | 2019 | 37 | |
| 6 | 2017 | 36 | |
| 7 | 2020 | 34 | |
| 8 | 2015 | 32 | |
| 9 | 2012 | 31 | |
| 10 | 2022 | 30 | |
| 11 | 2020 | 23 | |
| 12 | 2013 | 20 | |
| 13 | 2016 | 16 | |
| 14 | 2013 | 15 | |
| 15 | 2021 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2020 | 13 | |
| 18 | 2007 | 12 | |
| 19 | 2018 | 10 | |
| 20 | 2017 | 9 |
About Yu Lin
Yu Lin is a scholar working on Molecular Biology, Complementary and alternative medicine, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Pharmacology, having authored 30 papers that have together received 559 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Ferroptosis and cancer prognosis (3 papers), Natural product bioactivities and synthesis (2 papers), RNA modifications and cancer (2 papers), Stress Responses and Cortisol (2 papers) and Advanced Nanomaterials in Catalysis (2 papers). The work is most often cited by research in Neurology (74 citations), Complementary and alternative medicine (73 citations), Biological Psychiatry (20 citations), Pharmacology (46 citations) and Biochemistry (27 citations). Yu Lin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Wei Xu, Wen Xu, Kedan Chu, Yuqin Zhang, Lishuang Yu, Jihe Zhao, Mingqing Huang, Melissa S. Wason, Debarati Mukherjee and Chao Shen. Their work appears in journals such as Molecules, Evidence-based Complementary and Alternative Medicine, Journal of Biological Chemistry, Neurochemical Research and Journal of Hepatology.
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.