Ching‐Hua Lin

4.0k citations
112 papers · 2.6k indexed · h-index 30

Impact in

Papers in

Ching‐Hua Lin

109 papers receiving 2.6k citations

Peers

Ching‐Hua Lin
Comparison fields: 5 of 143
  • Biological Psychiatry 309
  • Psychiatry and Mental health 1.1k
  • Cellular and Molecular Neuroscience 554
  • Aging 45
  • Pharmacology 369
Replace Ana Frank with:
Ana Frank Spain
Ricardo S. Osorio United States
Ying‐Jay Liou Taiwan
Belinda M. Brown Australia
Hiroyuki Umegaki Japan
Quirino Cordeiro Brazil
Tetsuo Shimizu Japan
Elena Sinforiani Italy
Mark A. Fishel United States
Eeva‐Liisa Helkala Finland
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Citations per field
00.5×2.7×
Ana Frank · 1×
Citations per year

Countries citing papers authored by Ching‐Hua Lin

Since Specialization
Citations

This map shows the geographic impact of Ching‐Hua 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 Ching‐Hua Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Hua Lin more than expected).

Fields of papers citing papers by Ching‐Hua Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 20237
4 20237
5 20230
6 20231
7 202311
8 20225
9 20211
10 20203
11 201921
12 201811
13 201716
14 20173
15 20157
16 201533
17 201227
18 20118
19 200338
20 200138

About Ching‐Hua Lin

Ching‐Hua Lin is a scholar working on Psychiatry and Mental health, Biological Psychiatry, Pharmacology, Experimental and Cognitive Psychology and Clinical Psychology, having authored 112 papers that have together received 2.6k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (41 papers), Bipolar Disorder and Treatment (33 papers), Treatment of Major Depression (32 papers), Electroconvulsive Therapy Studies (23 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (11 papers), Diabetes Management and Education (10 papers), Chronic Disease Management Strategies (8 papers) and Psychiatric care and mental health services (7 papers). The work is most often cited by research in Biological Psychiatry (309 citations), Psychiatry and Mental health (1.1k citations), Cellular and Molecular Neuroscience (554 citations), Aging (45 citations) and Pharmacology (369 citations). Ching‐Hua Lin has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Shih‐Jen Tsai, Younger W.‐Y. Yu, Chen‐Jee Hong, Cheng‐Chung Chen, Kuan‐Hung Yang, Hsien‐Yuan Lane, Ming‐Chao Chen, Chun‐Jen Huang, Hung‐Yu Chan and Chieh‐Hsin Lin. Their work appears in journals such as Journal of Affective Disorders, Psychiatry Research, Journal of Clinical Psychopharmacology, The International Journal of Neuropsychopharmacology and Psychiatry and Clinical Neurosciences.

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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