Guoying Huang

2.2k citations
79 papers · 1.4k · h-index 22

Impact in

  • Epidemiology top 10%
    • Congenital Heart Disease Studies
  • Surgery top 10%
    • Kawasaki Disease and Coronary Complications
    • Cardiac Structural Anomalies and Repair

Papers in

    • Congenital Heart Disease Studies 21
    • Kawasaki Disease and Coronary Complications 15
    • Hemodynamic Monitoring and Therapy 2

Guoying Huang

73 papers receiving 1.3k citations

Peers

Guoying Huang
Comparison fields: 5 of 93
  • Epidemiology 330
  • Surgery 405
  • Obstetrics and Gynecology 59
  • Pulmonary and Respiratory Medicine 247
  • Cardiology and Cardiovascular Medicine 148
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Citations per field
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Citations per year

Countries citing papers authored by Guoying Huang

Since Specialization
Citations

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

Fields of papers citing papers by Guoying Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guoying Huang. 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 Guoying Huang. The network helps show where Guoying Huang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014162
2 201975
3 202073
4 201569
5 201365
6 201045
7 200942
8 200541
9 200839
10 201238
11 202236
12 201336
13 200835
14 201730
15 201328
16 201328
17 201927
18 201227
19 200825
20 201925

About Guoying Huang

Guoying Huang is a scholar working on Epidemiology, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (21 papers), Kawasaki Disease and Coronary Complications (15 papers), Congenital heart defects research (9 papers), Coronary Artery Anomalies (4 papers), Streptococcal Infections and Treatments (3 papers), Hemodynamic Monitoring and Therapy (2 papers), COVID-19 Impact on Reproduction (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Epidemiology (330 citations), Surgery (405 citations), Obstetrics and Gynecology (59 citations), Pulmonary and Respiratory Medicine (247 citations) and Cardiology and Cardiovascular Medicine (148 citations). Guoying Huang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaojing Ma, Weili Yan, Qu‐ming Zhao, Bing Jia, Lin Wu, Mei‐Rong Huang, Min Huang, Xue‐cun Liang, Xiaoling Ge and Ming Ye. Their work appears in journals such as Translational Pediatrics, BMC Pediatrics, Acta Paediatrica, Scientific Reports and Trials.

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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