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Children’s Hospital of Fudan University Xiamen Branch | Researchclopedia

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Children’s Hospital of Fudan University Xiamen Branch

Amoyhealthcare

842

Works

13,269

Citations

48

h-index

Top Research Topics

Neonatal Respiratory Health Research Pneumonia and Respiratory Infections Respiratory viral infections research

Top Researchers

K. Liu South China Agricultural University

2,483 works98,368 citationsh-index: 136

Recent Research

Vitamin D supplementation during pregnancy and maternal and neonatal outcomes: results from a quantitative umbrella meta-analysis

Liping Lin,Qi Zhu,et al.

20260 citations

Food Allergy and Anaphylaxis Research

Infant Nutrition and Health

Reproductive Biology and Fertility

Prenatal Screening and Diagnostics

Allergic Rhinitis and Sensitization

Ovarian function and disorders

Genetics and Neurodevelopmental Disorders

Gut microbiota and health

Pregnancy and preeclampsia studies

Xiaodong Wang Shanghai Children's Medical Center

438 works78,092 citationsh-index: 96

Ye Wang Harbin University of Science and Technology

1,178 works58,952 citationsh-index: 125

Jie He First Affiliated Hospital of Jinan University

943 works55,765 citationsh-index: 90

Jian Zhang Sun Yat-sen University

2,131 works49,511 citationsh-index: 98

Jian Wang Australian Regenerative Medicine Institute

1,801 works45,498 citationsh-index: 100

Illness experience and needs in children with inflammatory bowel disease: a systematic review and meta-synthesis of qualitative studies

Shaohong Lin,Jianshan Zheng,et al.

20260 citations

The results of Transcriptome-wide Mendelian Randomization (TWMR) in large-scale populations can directly validate, across scales, the results of causal inference from deep learning combined with double machine learning on single-cell transcriptomes of human samples

Wei Ye,Xinyu Jiang,et al.

20260 citations

The results of Transcriptome-wide Mendelian Randomization (TWMR) in large-scale populations can directly validate, across scales, the results of causal inference from deep learning combined with double machine learning on single-cell transcriptomes of human samples

Wei Ye,Xinyu Jiang,et al.

20260 citations

The results of Transcriptome-wide Mendelian Randomization (TWMR) in large-scale populations can directly validate, across scales, the results of causal inference from deep learning combined with double machine learning on single-cell transcriptomes of human samples

Wei Ye,Xinyu Jiang,et al.

20260 citations

Feasibility of 2-Hour vs 24-Hour Delayed Radiography in Oil-Based Hysterosalpingography: A Comparative Diagnostic Accuracy Study

Xueyao Huang,Yali Su,et al.

20260 citations