Chun-Hung Chang

1.4k citations
47 papers · 876 · h-index 16

Impact in

    • Tryptophan and brain disorders
  • Neurology top 5%
    • Transcranial Magnetic Stimulation Studies
    • Neurological disorders and treatments

Papers in

Chun-Hung Chang

44 papers receiving 860 citations

Peers

Chun-Hung Chang
Comparison fields: 5 of 114
  • Biological Psychiatry 135
  • Neurology 159
  • Health Informatics 14
  • Psychiatry and Mental health 136
  • Biochemistry 60
Replace Khara M. Ramos with:
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Shengxiang Liang China
Jiyoung Kim South Korea
Allitia DiBernardo United States
Riikka Rontu Finland
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Jacek Bogucki Poland
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Citations per field
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Citations per year

Countries citing papers authored by Chun-Hung Chang

Since Specialization
Citations

This map shows the geographic impact of Chun-Hung Chang'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 Chang 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 Chang more than expected).

Fields of papers citing papers by Chun-Hung Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020153
2 2021145
3 2018115
4 201934
5 202132
6 200928
7 202127
8 201827
9 202027
10 201223
11 202221
12 201519
13 201719
14 201519
15 201615
16 202015
17 201413
18 202411
19 200710
20 200710

About Chun-Hung Chang

Chun-Hung Chang is a scholar working on Neurology, Psychiatry and Mental health, Physiology, Biochemistry and Neurology, having authored 47 papers that have together received 876 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (11 papers), Amino Acid Enzymes and Metabolism (6 papers), Alzheimer's disease research and treatments (4 papers), Tryptophan and brain disorders (4 papers), Neurological disorders and treatments (4 papers), Dementia and Cognitive Impairment Research (4 papers), Obsessive-Compulsive Spectrum Disorders (4 papers) and Family Support in Illness (3 papers). The work is most often cited by research in Biological Psychiatry (135 citations), Neurology (159 citations), Health Informatics (14 citations), Psychiatry and Mental health (136 citations) and Biochemistry (60 citations). Chun-Hung Chang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chieh‐Hsin Lin, Hsien‐Yuan Lane, Shaw-Ji Chen, Chieh‐Yu Liu, Hsien‐Yuan Lane, Hsin‐Chi Tsai, Ping‐Tao Tseng, I‐Chen Tsai, Chih‐Wei Hsu and Ke‐Vin Chang. Their work appears in journals such as Frontiers in Psychiatry, Medicine, Journal of Psychopharmacology, Journal of Clinical Medicine and Psychiatry Research.

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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