Yu‐Lin Dong
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Physiology top 5%
- Pain Mechanisms and Treatments
Papers in
- Physiology 33
- Pain Mechanisms and Treatments 32
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- Neuropeptides and Animal Physiology 14
- Neuroscience and Neuropharmacology Research 10
- Co-authors
- Yun-Qing Li (24 shared papers)Jinlian Li (12 shared papers)Wen Wang (10 shared papers)Zhijun Zhang (3 shared papers)Yong‐Jing Gao (3 shared papers)Ya-Cheng Lu (11 shared papers)Tao Chen (8 shared papers)Wenjun Zhao (6 shared papers)
In The Last Decade
Yu‐Lin Dong
46 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Cellular and Molecular Neuroscience 425
- Physiology 532
- Behavioral Neuroscience 64
- Anesthesiology and Pain Medicine 74
- Endocrine and Autonomic Systems 96
Countries citing papers authored by Yu‐Lin Dong
This map shows the geographic impact of Yu‐Lin Dong'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 Dong 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 Dong more than expected).
Fields of papers citing papers by Yu‐Lin Dong
This network shows the impact of papers produced by Yu‐Lin Dong. 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 Dong. The network helps show where Yu‐Lin Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Lin Dong, 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 | 2014 | 78 | |
| 2 | 2012 | 75 | |
| 3 | 2014 | 67 | |
| 4 | 2020 | 66 | |
| 5 | 2011 | 65 | |
| 6 | 2003 | 63 | |
| 7 | 2020 | 47 | |
| 8 | 2017 | 43 | |
| 9 | 2017 | 42 | |
| 10 | 2018 | 40 | |
| 11 | 2023 | 37 | |
| 12 | 2013 | 37 | |
| 13 | 2006 | 33 | |
| 14 | 2014 | 32 | |
| 15 | 2015 | 31 | |
| 16 | 2014 | 31 | |
| 17 | 2014 | 29 | |
| 18 | 2014 | 29 | |
| 19 | 2017 | 25 | |
| 20 | 2010 | 23 |
About Yu‐Lin Dong
Yu‐Lin Dong is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience and Surgery, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (32 papers), Neuropeptides and Animal Physiology (14 papers), Neuroscience and Neuropharmacology Research (10 papers), Stress Responses and Cortisol (5 papers), Dermatology and Skin Diseases (3 papers), Pain Management and Placebo Effect (3 papers), Vestibular and auditory disorders (2 papers) and Natural Compounds in Disease Treatment (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (425 citations), Physiology (532 citations), Behavioral Neuroscience (64 citations), Anesthesiology and Pain Medicine (74 citations) and Endocrine and Autonomic Systems (96 citations). Yu‐Lin Dong has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Yun-Qing Li, Jinlian Li, Wen Wang, Zhijun Zhang, Yong‐Jing Gao, Ya-Cheng Lu, Tao Chen, Wenjun Zhao, Takeshi Kaneko and Jun-Bin Yin. Their work appears in journals such as Molecular Neurobiology, PLoS ONE, Journal of Neuroinflammation, Neuroscience and The Journal of Comparative Neurology.
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.