Ya‐Tin Lin
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
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- Neuropeptides and Animal Physiology
- Nerve injury and regeneration
Papers in
-
- Neuropeptides and Animal Physiology 6
- Nerve injury and regeneration 2
- Co-authors
- Jin‐Chung Chen (16 shared papers)Po‐Hung Hsu (8 shared papers)Hao-Li Liu (4 shared papers)Tzu‐Chen Yen (2 shared papers)Meng Lin (1 shared paper)Chiung-Yin Huang (2 shared papers)Kuo‐Chen Wei (2 shared papers)Chia‐Rui Shen (1 shared paper)
- Journals
- International Journal of Molecular Sciences (2 papers)Journal of Visualized Experiments (2 papers)Life Sciences (2 papers)Psychoneuroendocrinology (2 papers)Experimental Neurology (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Ya‐Tin Lin
31 papers receiving 600 citations
Peers
Comparison fields: 5 of 93
- Behavioral Neuroscience 40
- Cellular and Molecular Neuroscience 197
- Biological Psychiatry 19
- Endocrine and Autonomic Systems 44
- Physiology 142
Countries citing papers authored by Ya‐Tin Lin
This map shows the geographic impact of Ya‐Tin 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 Ya‐Tin Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya‐Tin Lin more than expected).
Fields of papers citing papers by Ya‐Tin Lin
This network shows the impact of papers produced by Ya‐Tin 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 Ya‐Tin Lin. The network helps show where Ya‐Tin Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya‐Tin 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 119 | |
| 2 | 2013 | 103 | |
| 3 | 2018 | 54 | |
| 4 | 2017 | 39 | |
| 5 | 2016 | 29 | |
| 6 | 2018 | 28 | |
| 7 | 2017 | 27 | |
| 8 | 2019 | 26 | |
| 9 | 2017 | 25 | |
| 10 | 2020 | 20 | |
| 11 | 2022 | 19 | |
| 12 | 2015 | 15 | |
| 13 | 2020 | 14 | |
| 14 | 2022 | 14 | |
| 15 | 2021 | 11 | |
| 16 | 2024 | 9 | |
| 17 | 2019 | 7 | |
| 18 | 2018 | 7 | |
| 19 | 2020 | 6 | |
| 20 | 2024 | 5 |
About Ya‐Tin Lin
Ya‐Tin Lin is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Behavioral Neuroscience and Biomedical Engineering, having authored 32 papers that have together received 604 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Pain Mechanisms and Treatments (5 papers), Stress Responses and Cortisol (5 papers), Ultrasound and Hyperthermia Applications (5 papers), Neuroendocrine regulation and behavior (4 papers), Hypothalamic control of reproductive hormones (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Behavioral Neuroscience (40 citations), Cellular and Molecular Neuroscience (197 citations), Biological Psychiatry (19 citations), Endocrine and Autonomic Systems (44 citations) and Physiology (142 citations). Ya‐Tin Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Jin‐Chung Chen, Po‐Hung Hsu, Hao-Li Liu, Tzu‐Chen Yen, Meng Lin, Chiung-Yin Huang, Kuo‐Chen Wei, Chia‐Rui Shen, Chao‐Lin Liu and Kun‐Ju Lin. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Visualized Experiments, Life Sciences, Psychoneuroendocrinology and Experimental 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.