Chun‐Hung Pan

50 papers receiving 887 citations

Peers

Chun‐Hung Pan
Comparison fields: 5 of 86
  • Biological Psychiatry 44
  • Psychiatry and Mental health 209
  • Pharmacology 237
  • Toxicology 34
  • Cellular and Molecular Neuroscience 164
Replace Philippe Batel with:
Philippe Batel France
Thomas J. Arndt United States
Matthew A. Fuller United States
Roberta Kahn United States
Víctor Ortiz‐García de la Foz Spain
Ladislav Hosák Czechia
Koichi Nisijima Japan
Jerzy Landowski Poland
Otto‐Michael Lesch Austria
M J Kreek United States
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Citations per year

Countries citing papers authored by Chun‐Hung Pan

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Hung Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Hung Pan. 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 Chun‐Hung Pan. The network helps show where Chun‐Hung Pan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009205
2 200668
3 201045
4 201541
5 201237
6 201337
7 201437
8 202125
9 202024
10 200322
11 201822
12 201722
13 200321
14 202021
15 202220
16 202319
17 202019
18 200918
19 200814
20 202113

About Chun‐Hung Pan

Chun‐Hung Pan is a scholar working on Psychiatry and Mental health, Clinical Psychology, Epidemiology, Experimental and Cognitive Psychology and Cellular and Molecular Neuroscience, having authored 54 papers that have together received 908 indexed citations. Recurring topics across this work include Bipolar Disorder and Treatment (10 papers), Suicide and Self-Harm Studies (10 papers), Schizophrenia research and treatment (9 papers), Substance Abuse Treatment and Outcomes (4 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers), Alcoholism and Thiamine Deficiency (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Biological Psychiatry (44 citations), Psychiatry and Mental health (209 citations), Pharmacology (237 citations), Toxicology (34 citations) and Cellular and Molecular Neuroscience (164 citations). Chun‐Hung Pan has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Shih‐Ku Lin, Chian‐Jue Kuo, Shang‐Ying Tsai, Chiao‐Chicy Chen, Ming‐Chyi Huang, Pao‐Huan Chen, Tadao Arinami, Emmanuel S. Onaivi, Alvaro Llorente‐Berzal and Zheng‐Xiong Xi. Their work appears in journals such as Psychiatry and Clinical Neurosciences, Schizophrenia Research, Journal of Clinical Psychopharmacology, Drug and Alcohol Dependence and Acta Psychiatrica Scandinavica.

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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