Yi‐Ting Lin

1.6k citations
69 papers · 1.2k indexed · h-index 19

Impact in

Papers in

Yi‐Ting Lin

63 papers receiving 1.2k citations

Peers

Yi‐Ting Lin
Comparison fields: 5 of 121
  • Biological Psychiatry 41
  • Psychiatry and Mental health 239
  • Cognitive Neuroscience 219
  • Experimental and Cognitive Psychology 111
  • Cancer Research 119
Replace Lijun Jiang with:
Lijun Jiang China
Shulin Chen China
Miguel E. Rentería Australia
Yuanyuan Gao China
Indrani Halder United States
Claudia Bartels Germany
Tomofumi Miura Japan
Anastasia Bougea Greece
Ling Leng China
Chin K. Ng United States
Yi‐Ting Lin relative to Lijun Jiang China Lijun Jiang's profile →
Citations per field
00.5×1.5×
Lijun Jiang · 1×
Citations per year

Countries citing papers authored by Yi‐Ting Lin

Since Specialization
Citations

This map shows the geographic impact of Yi‐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 Yi‐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 Yi‐Ting Lin more than expected).

Fields of papers citing papers by Yi‐Ting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20244
5 20241
6 20235
7 202318
8 20232
9 20231
10 202310
11 20225
12 20213
13 20218
14 202012
15 20197
16 20184
17 201716
18 201631
19 20127
20 201232

About Yi‐Ting Lin

Yi‐Ting Lin is a scholar working on Psychiatry and Mental health, Biological Psychiatry, Cognitive Neuroscience, Experimental and Cognitive Psychology and Geriatrics and Gerontology, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (20 papers), Dementia and Cognitive Impairment Research (8 papers), Functional Brain Connectivity Studies (7 papers), Neuroscience and Music Perception (7 papers), Mental Health Research Topics (5 papers), Mental Health and Psychiatry (5 papers), Treatment of Major Depression (4 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Biological Psychiatry (41 citations), Psychiatry and Mental health (239 citations), Cognitive Neuroscience (219 citations), Experimental and Cognitive Psychology (111 citations) and Cancer Research (119 citations). Yi‐Ting Lin has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Ming H. Hsieh, Kevin G. Lynch, John S. Cacciola, Arthur I. Alterman, A. Thomas McLellan, Tzung‐Jeng Hwang, Hai‐Gwo Hwu, Chih‐Min Liu, Chen‐Chung Liu and Yi‐Ling Chien. Their work appears in journals such as PLoS ONE, International Psychogeriatrics, Frontiers in Psychiatry, Psychiatry Research and Early Intervention in Psychiatry.

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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