Huei‐Chen Ko

3.7k citations
89 papers · 3.1k · h-index 32

Impact in

Papers in

Huei‐Chen Ko

88 papers receiving 2.9k citations

Peers

Huei‐Chen Ko
Comparison fields: 5 of 126
  • Obstetrics and Gynecology 372
  • Pediatrics, Perinatology and Child Health 577
  • Pathology and Forensic Medicine 376
  • Applied Psychology 106
  • Cellular and Molecular Neuroscience 383
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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 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999231
2 2011229
3 2004146
4 2000118
5 1997113
6 2008109
7 1997100
8 199998
9 200380
10 200877
11 200977
12 199674
13
Monoamine oxidase-A polymorphisms might modify the association between the dopamine D2 receptor gene and alcohol dependence.
200760
14 200058
15 201553
16 199447
17 200247
18 200047
19 200647
20 199744

About Huei‐Chen Ko

Huei‐Chen Ko is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Pathology and Forensic Medicine, Clinical Psychology and Cellular and Molecular Neuroscience, having authored 89 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (23 papers), Alcohol Consumption and Health Effects (14 papers), Birth, Development, and Health (14 papers), Impact of Technology on Adolescents (12 papers), Neurotransmitter Receptor Influence on Behavior (10 papers), Prenatal Screening and Diagnostics (9 papers), Fetal and Pediatric Neurological Disorders (8 papers) and Gestational Diabetes Research and Management (7 papers). The work is most often cited by research in Obstetrics and Gynecology (372 citations), Pediatrics, Perinatology and Child Health (577 citations), Pathology and Forensic Medicine (376 citations), Applied Psychology (106 citations) and Cellular and Molecular Neuroscience (383 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, Ru‐Band Lu, Chen-Hsiang Yu, Min‐Pei Lin, Shih‐Jiun Yin, Jia‐Fu Lee and Wei‐Wen Lin. Their work appears in journals such as Ultrasound in Medicine & Biology, Alcoholism Clinical and Experimental Research, Biological Psychiatry, Progress in Neuro-Psychopharmacology and Biological Psychiatry and Addictive Behaviors.

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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