Chen‐Lin Chang

20 papers receiving 277 citations

Peers

Chen‐Lin Chang
Comparison fields: 5 of 86
  • Psychiatry and Mental health 79
  • Cognitive Neuroscience 55
  • Biological Psychiatry 6
  • Chemical Health and Safety 1
  • Developmental Neuroscience 5
Replace Eduardo Paz with:
Eduardo Paz Spain
Stijn Servaes Canada
Jung‐Min Pyun South Korea
Aman Mangalmurti United States
Magdalena Nord Sweden
Geor Bakker Netherlands
Merve Çebi Türkiye
Ina S. Almdahl Norway
Ronald Rivera United States
Anne Labonté Canada
Chen‐Lin Chang relative to Eduardo Paz Spain Eduardo Paz's profile →
Citations per field
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Eduardo Paz · 1×
Citations per year

Countries citing papers authored by Chen‐Lin Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Lin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198966
2 201360
3 201228
4 201527
5 201424
6 201824
7 202210
8 20198
9 20227
10 19915
11 20195
12 20244
13 20124
14 20103
15 20213
16 20223
17 20193
18 20132
19 20151
20 20141

About Chen‐Lin Chang

Chen‐Lin Chang is a scholar working on Clinical Psychology, Molecular Biology, Psychiatry and Mental health, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 288 indexed citations. Recurring topics across this work include Bipolar Disorder and Treatment (2 papers), Autism Spectrum Disorder Research (2 papers), Schizophrenia research and treatment (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Ferroptosis and cancer prognosis (1 paper), Renal cell carcinoma treatment (1 paper), Menstrual Health and Disorders (1 paper) and Ovarian function and disorders (1 paper). The work is most often cited by research in Psychiatry and Mental health (79 citations), Cognitive Neuroscience (55 citations), Biological Psychiatry (6 citations), Chemical Health and Safety (1 citation) and Developmental Neuroscience (5 citations). Chen‐Lin Chang has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Pinchen Yang, Cheng‐Fang Yen, For‐Wey Lung, Burra V. Madhukar, Marlene Wade, James E. Trosko, Tai‐Ling Liu, Chung‐Ping Cheng, Chia-Hsien Wen and I‐Chao Liu. Their work appears in journals such as Journal of Personalized Medicine, Carcinogenesis, International Journal of Environmental Research and Public Health, Annals of Medicine and Biomedicines.

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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