Ching-Kuan Wu

2.2k citations
44 papers · 1.3k · h-index 22

Impact in

Papers in

Ching-Kuan Wu

44 papers receiving 1.3k citations

Peers

Ching-Kuan Wu
Comparison fields: 5 of 113
  • Biological Psychiatry 127
  • Psychiatry and Mental health 395
  • Behavioral Neuroscience 62
  • Endocrine and Autonomic Systems 62
  • Cognitive Neuroscience 164
Replace Chadi A. Calarge with:
Chadi A. Calarge United States
Ioannis Liappas Greece
Luigi Olivieri Italy
Mitzi M. Gonzales United States
Gilberto Sousa Alves Brazil
Jun Ishigooka Japan
Yong Sik Kim South Korea
Marta Serati Italy
Vineeth John United States
Ji Hyun Baek South Korea
Ching-Kuan Wu relative to Chadi A. Calarge United States Chadi A. Calarge's profile →
Citations per field
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Chadi A. Calarge · 1×
Citations per year

Countries citing papers authored by Ching-Kuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Kuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching-Kuan Wu. 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-Kuan Wu. The network helps show where Ching-Kuan Wu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018128
2 201899
3 201888
4 201677
5 201773
6 201555
7 201753
8 201753
9 201550
10 201544
11 201840
12 201640
13 201639
14 201836
15 201734
16 201134
17 201633
18 200530
19 201629
20 201626

About Ching-Kuan Wu

Ching-Kuan Wu is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience, Social Psychology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bipolar Disorder and Treatment (9 papers), Schizophrenia research and treatment (9 papers), Attention Deficit Hyperactivity Disorder (4 papers), Child Nutrition and Feeding Issues (4 papers), Autism Spectrum Disorder Research (3 papers), Tryptophan and brain disorders (3 papers), Electroconvulsive Therapy Studies (3 papers) and Maternal Mental Health During Pregnancy and Postpartum (2 papers). The work is most often cited by research in Biological Psychiatry (127 citations), Psychiatry and Mental health (395 citations), Behavioral Neuroscience (62 citations), Endocrine and Autonomic Systems (62 citations) and Cognitive Neuroscience (164 citations). Ching-Kuan Wu has collaborated with scholars based in Taiwan, United Kingdom and Brazil. Frequent co-authors include Pao‐Yen Lin, Ping‐Tao Tseng, Yen‐Wen Chen, Yu‐Shian Cheng, Tien‐Yu Chen, Brendon Stubbs, Kun-Yu Tu, André F. Carvalho, Dian‐Jeng Li and Che‐Sheng Chu. Their work appears in journals such as Medicine, Scientific Reports, European Neuropsychopharmacology, Journal of Affective Disorders and International Clinical Psychopharmacology.

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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