Ying‐Hsien Huang

3.2k total citations
135 papers, 2.4k citations indexed

About

Ying‐Hsien Huang is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Ying‐Hsien Huang has authored 135 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Surgery, 42 papers in Pulmonary and Respiratory Medicine and 34 papers in Epidemiology. Recurrent topics in Ying‐Hsien Huang's work include Kawasaki Disease and Coronary Complications (57 papers), Coronary Artery Anomalies (33 papers) and Liver Disease Diagnosis and Treatment (15 papers). Ying‐Hsien Huang is often cited by papers focused on Kawasaki Disease and Coronary Complications (57 papers), Coronary Artery Anomalies (33 papers) and Liver Disease Diagnosis and Treatment (15 papers). Ying‐Hsien Huang collaborates with scholars based in Taiwan, China and United States. Ying‐Hsien Huang's co-authors include Ho‐Chang Kuo, Ya‐Ling Yang, Feng‐Sheng Wang, Mao‐Meng Tiao, Sung‐Chou Li, Hung‐Yu Lin, Hsing‐Chun Kuo, Jiin‐Haur Chuang, Kuang-Che Kuo and Hong‐Ren Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biochemical Journal.

In The Last Decade

Ying‐Hsien Huang

130 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ying‐Hsien Huang Taiwan 29 1.0k 687 684 563 378 135 2.4k
Ning Li China 28 1.5k 1.4× 770 1.1× 1.3k 1.9× 655 1.2× 746 2.0× 179 4.2k
Albrecht Hoffmeister Germany 28 1.1k 1.1× 357 0.5× 509 0.7× 576 1.0× 102 0.3× 143 2.7k
Jaswinder S. Samra Australia 35 1.6k 1.5× 1.0k 1.5× 547 0.8× 1.0k 1.8× 596 1.6× 221 4.3k
Wei Cai China 26 642 0.6× 312 0.5× 494 0.7× 462 0.8× 200 0.5× 110 2.0k
Eiji Uchida Japan 32 1.5k 1.4× 733 1.1× 1.2k 1.7× 381 0.7× 680 1.8× 282 4.0k
Pierpaolo Sileri Italy 37 2.1k 2.0× 491 0.7× 916 1.3× 416 0.7× 372 1.0× 170 4.6k
Byung Ha Chung South Korea 32 963 0.9× 440 0.6× 772 1.1× 522 0.9× 105 0.3× 274 3.7k
Roland M. Schmid Germany 32 1.1k 1.1× 748 1.1× 738 1.1× 398 0.7× 301 0.8× 130 3.4k
Marie Essig France 31 726 0.7× 245 0.4× 489 0.7× 368 0.7× 130 0.3× 114 2.8k
Thangamani Muthukumar United States 35 1000 1.0× 295 0.4× 989 1.4× 659 1.2× 315 0.8× 94 3.7k

Countries citing papers authored by Ying‐Hsien Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Hsien Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying‐Hsien Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Hsien Huang. A scholar is included among the top collaborators of Ying‐Hsien Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying‐Hsien Huang. Ying‐Hsien Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Tzu-Hsien, Ying‐Hsien Huang, Kuang‐Den Chen, et al.. (2025). Identifying the risk of Kawasaki disease based solely on routine blood test features through novel construction of machine learning models. Computational and Structural Biotechnology Journal. 27. 2832–2842.
2.
Wang, Liang‐Jen, Ching‐Shu Tsai, Wen‐Jiun Chou, et al.. (2024). Add-On Bifidobacterium Bifidum Supplement in Children with Attention-Deficit/Hyperactivity Disorder: A 12-Week Randomized Double-Blind Placebo-Controlled Clinical Trial. Nutrients. 16(14). 2260–2260. 11 indexed citations
3.
Kuo, Kuang-Che, et al.. (2023). Salivary Biomarkers to Differentiate between Streptococcus pneumoniae and Influenza A Virus-Related Pneumonia in Children. Diagnostics. 13(8). 1468–1468. 3 indexed citations
4.
Chang, Ling‐Sai, et al.. (2023). Basophils Predict Mite Sensitization in Patients with Kawasaki Disease. Children. 10(7). 1209–1209.
5.
Kuo, Ho‐Chang, Kuang-Che Kuo, Wen‐Yu Su, et al.. (2023). Profiling Humoral Immunity After Mixing and Matching COVID-19 Vaccines Using SARS-CoV-2 Variant Protein Microarrays. Molecular & Cellular Proteomics. 22(4). 100507–100507. 5 indexed citations
6.
Liu, Shih‐Feng, Pei‐Shan Tsai, Tzong‐Shiann Ho, et al.. (2023). Profiling humoral responses to COVID-19 immunization in Kawasaki disease using SARS-CoV-2 variant protein microarrays. The Analyst. 148(19). 4698–4709. 1 indexed citations
7.
Yang, Ya‐Ling, Ho‐Chang Kuo, Kuang‐Den Chen, et al.. (2022). Combination of Hemoglobin-for-Age Z-Score and Plasma Hepcidin Identified as a Novel Predictor for Kawasaki Disease. Children. 9(6). 913–913. 11 indexed citations
8.
Chiu, I-Min, et al.. (2021). Using Machine Learning to Predict Invasive Bacterial Infections in Young Febrile Infants Visiting the Emergency Department. Journal of Clinical Medicine. 10(9). 1875–1875. 11 indexed citations
9.
Chen, Kuang‐Den, Ying‐Hsien Huang, Mindy Ming‐Huey Guo, et al.. (2021). DNA Methylation Array Identifies Golli-MBP as a Biomarker for Disease Severity in Childhood Atopic Dermatitis. Journal of Investigative Dermatology. 142(1). 104–113. 12 indexed citations
10.
Huang, Kuo‐Chen, et al.. (2021). Shock Index, Pediatric Age-Adjusted Predicts Morbidity and Mortality in Children Admitted to the Intensive Care Unit. Frontiers in Pediatrics. 9. 727466–727466. 6 indexed citations
11.
Chang, Ling‐Sai, et al.. (2020). Low FCMR mRNA expression in leukocytes of patients with Kawasaki disease six months after disease onset. Pediatric Allergy and Immunology. 31(5). 554–559. 7 indexed citations
12.
Tsai, Chih‐Min, Chun‐Hung Richard Lin, Huan Zhang, et al.. (2020). Using Machine Learning to Predict Bacteremia in Febrile Children Presented to the Emergency Department. Diagnostics. 10(5). 307–307. 16 indexed citations
13.
Kuo, Kuang-Che, et al.. (2020). The Expression of Glycoprotein Genes in the Inflammatory Process of Kawasaki Disease. Frontiers in Pediatrics. 8. 592122–592122. 6 indexed citations
14.
Kuo, Ho‐Chang, Mindy Ming‐Huey Guo, Mao‐Hung Lo, Kai‐Sheng Hsieh, & Ying‐Hsien Huang. (2018). Effectiveness of intravenous immunoglobulin alone and intravenous immunoglobulin combined with high-dose aspirin in the acute stage of Kawasaki disease: study protocol for a randomized controlled trial. BMC Pediatrics. 18(1). 200–200. 20 indexed citations
15.
Sheen, Jiunn‐Ming, Yu‐Chieh Chen, Mei‐Hsin Hsu, et al.. (2016). Melatonin Alleviates Liver Apoptosis in Bile Duct Ligation Young Rats. International Journal of Molecular Sciences. 17(8). 1365–1365. 23 indexed citations
16.
Huang, Ying‐Hsien, Yu‐Wen Hsu, Hong‐Ren Yu, et al.. (2016). Interferon-gamma Genetic Polymorphism and Expression in Kawasaki Disease. Medicine. 95(17). e3501–e3501. 30 indexed citations
17.
Huang, Ying‐Hsien, Chih‐Jen Chen, Kuang-Che Kuo, et al.. (2016). Postnatal High-Fat Diet Increases Liver Steatosis and Apoptosis Threatened by Prenatal Dexamethasone through the Oxidative Effect. International Journal of Molecular Sciences. 17(3). 369–369. 17 indexed citations
18.
Huang, Ying‐Hsien, Hsiang‐Hung Shih, Mao‐Meng Tiao, et al.. (2016). Toll-like receptor 7 agonist induces hypoplasia of the biliary system in a neonatal mouse model. Journal of Microbiology Immunology and Infection. 51(2). 166–173. 6 indexed citations
19.
Chen, Chih‐Jen, Kuang-Che Kuo, Ying‐Hsien Huang, et al.. (2015). The Characteristics of Antioxidant Activity after Liver Transplantation in Biliary Atresia Patients. BioMed Research International. 2015. 1–7. 4 indexed citations
20.
Tiao, Mao‐Meng, Chia‐Wei Liou, Li‐Tung Huang, et al.. (2013). Associations of Mitochondrial Haplogroups B4 and E with Biliary Atresia and Differential Susceptibility to Hydrophobic Bile Acid. PLoS Genetics. 9(8). e1003696–e1003696. 19 indexed citations

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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