Yu-Ting Lin

33 papers receiving 1.2k citations

Peers

Yu-Ting Lin
Comparison fields: 5 of 116
  • Behavioral Neuroscience 162
  • Endocrine and Autonomic Systems 153
  • Biological Psychiatry 45
  • Social Psychology 322
  • Developmental Neuroscience 59
Replace Makoto Kawasaki with:
Makoto Kawasaki Japan
Ana Magalhães Portugal
Ida Nilsson Sweden
Hiroshi Kaneko Japan
Jason Y. Chang United States
James Walter United States
J.K. Chang United States
Diana Vargas United States
Muriel Larauche United States
Maria José Alves Rocha Brazil
Yu-Ting Lin relative to Makoto Kawasaki Japan Makoto Kawasaki's profile →
Citations per field
00.5×4.5×
Makoto Kawasaki · 1×
Citations per year

Countries citing papers authored by Yu-Ting Lin

Since Specialization
Citations

This map shows the geographic impact of Yu-Ting 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-Ting 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-Ting Lin more than expected).

Fields of papers citing papers by Yu-Ting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Ting 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-Ting Lin. The network helps show where Yu-Ting Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Yu-Ting 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 Yu-Ting Lin Line = papers co-authored together Yu-Ting Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996152
2 2017123
3 2013122
4 2017118
5 200477
6 201270
7 201862
8 201461
9 201637
10 201234
11 201331
12 202030
13 201027
14 201725
15 201422
16 201322
17 201922
18 201320
19 201317
20 201517

About Yu-Ting Lin

Yu-Ting Lin is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Physiology and Social Psychology, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (6 papers), Neuroendocrine regulation and behavior (5 papers), Stress Responses and Cortisol (4 papers), HIV Research and Treatment (4 papers), HIV, Drug Use, Sexual Risk (3 papers), Neuroscience of respiration and sleep (3 papers), Galectins and Cancer Biology (2 papers) and Syphilis Diagnosis and Treatment (2 papers). The work is most often cited by research in Behavioral Neuroscience (162 citations), Endocrine and Autonomic Systems (153 citations), Biological Psychiatry (45 citations), Social Psychology (322 citations) and Developmental Neuroscience (59 citations). Yu-Ting Lin has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Kuei‐Sen Hsu, Chiung‐Chun Huang, Chien‐Chung Chen, Tsung‐Chih Tsai, Vilhelm A. Bohr, Katsuhiko Nishimori, Jenq‐Lin Yang, Pei‐Chin Chuang, Mark P. Mattson and Dheerja Pardasani. Their work appears in journals such as PLoS ONE, Journal of Microbiology Immunology and Infection, Journal of Neuroscience, Molecular Neurobiology and Cellular Reprogramming.

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.

Explore authors with similar magnitude of impact