Huei‐Chen Ko

86 papers receiving 2.7k citations

Peers

Huei‐Chen Ko
Comparison fields: 5 of 124
  • Obstetrics and Gynecology 486
  • Pediatrics, Perinatology and Child Health 743
  • Biological Psychiatry 73
  • Applied Psychology 133
  • Psychiatry and Mental health 349
Replace Débora Marques de Miranda with:
Débora Marques de Miranda Brazil
Masaru Tateno Japan
Howard Seltman United States
Jennifer Mitchell United States
Ran Barzilay United States
Leopold Curfs Netherlands
Sarah Van de Velde Belgium
Mei‐Feng Huang Taiwan
Gang Zhu China
Se Joo Kim South Korea
Huei‐Chen Ko relative to Débora Marques de Miranda Brazil Débora Marques de Miranda's profile →
Citations per field
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Citations per year

Countries citing papers authored by Huei‐Chen Ko

Since Specialization
Citations

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

Fields of papers citing papers by Huei‐Chen Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011219
2 1999182
3 2004141
4 2000112
5 1997111
6 2008103
7 199795
8 199988
9 200377
10 200975
11 200874
12 199667
13 200055
14
Monoamine oxidase-A polymorphisms might modify the association between the dopamine D2 receptor gene and alcohol dependence.
200754
15 201552
16 200045
17 200243
18 200642
19 199442
20 199741

About Huei‐Chen Ko

Huei‐Chen Ko is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Cellular and Molecular Neuroscience, Clinical Psychology and Pathology and Forensic Medicine, having authored 87 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (23 papers), Neurotransmitter Receptor Influence on Behavior (16 papers), Birth, Development, and Health (15 papers), Alcohol Consumption and Health Effects (14 papers), Impact of Technology on Adolescents (12 papers), Substance Abuse Treatment and Outcomes (12 papers), Prenatal Screening and Diagnostics (9 papers) and Fetal and Pediatric Neurological Disorders (8 papers). The work is most often cited by research in Obstetrics and Gynecology (486 citations), Pediatrics, Perinatology and Child Health (743 citations), Biological Psychiatry (73 citations), Applied Psychology (133 citations) and Psychiatry and Mental health (349 citations). Huei‐Chen Ko has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Fong‐Ming Chang, Chiung‐Hsin Chang, Jo Yung-Wei Wu, Hsi-Yao Chen, Chen-Hsiang Yu, Ru‐Band Lu, Min‐Pei Lin, Jia‐Fu Lee, Wei‐Wen Lin and Shih‐Jiun Yin. Their work appears in journals such as Ultrasound in Medicine & Biology, Alcoholism Clinical and Experimental Research, Biological Psychiatry, Addictive Behaviors and Progress in Neuro-Psychopharmacology and Biological Psychiatry.

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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