Ya‐Tin Lin

31 papers receiving 600 citations

Peers

Ya‐Tin Lin
Comparison fields: 5 of 93
  • Behavioral Neuroscience 40
  • Cellular and Molecular Neuroscience 197
  • Biological Psychiatry 19
  • Endocrine and Autonomic Systems 44
  • Physiology 142
Replace Koichi Ogawa with:
Koichi Ogawa Japan
Jeng‐Rung Chen Taiwan
Reza Ahadi Iran
José‐Manuel Cancela France
Bahram Soltani Tehrani Iran
Atiqul Islam Sweden
Laura Pellegrini United Kingdom
Fumihiko Okada Japan
Xiaoyi Wang China
Richard J. Zeman United States
Ya‐Tin Lin relative to Koichi Ogawa Japan Koichi Ogawa's profile →
Citations per field
00.5×3.3×
Koichi Ogawa · 1×
Citations per year

Countries citing papers authored by Ya‐Tin Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ya‐Tin Lin Line = papers co-authored together Ya‐Tin Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011119
2 2013103
3 201854
4 201739
5 201629
6 201828
7 201727
8 201926
9 201725
10 202020
11 202219
12 201515
13 202014
14 202214
15 202111
16 20249
17 20197
18 20187
19 20206
20 20245

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.

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