Zhangbin Yu

3.6k total citations · 2 hit papers
114 papers, 2.7k citations indexed

About

Zhangbin Yu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Zhangbin Yu has authored 114 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Pulmonary and Respiratory Medicine, 40 papers in Molecular Biology and 34 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Zhangbin Yu's work include Neonatal Respiratory Health Research (36 papers), Infant Nutrition and Health (31 papers) and Cancer-related molecular mechanisms research (16 papers). Zhangbin Yu is often cited by papers focused on Neonatal Respiratory Health Research (36 papers), Infant Nutrition and Health (31 papers) and Cancer-related molecular mechanisms research (16 papers). Zhangbin Yu collaborates with scholars based in China, United States and Canada. Zhangbin Yu's co-authors include Shuping Han, Xirong Guo, Jingai Zhu, Chenbo Ji, Xiaofan Sun, Chun Zhu, Xiangyu Guo, Chao Zhu, Xiaohui Cao and Guangwen Zhu and has published in prestigious journals such as PLoS ONE, PEDIATRICS and Cochrane Database of Systematic Reviews.

In The Last Decade

Zhangbin Yu

102 papers receiving 2.6k citations

Hit Papers

Pre-Pregnancy Body Mass Index in Relation to Infant Birth... 2011 2026 2016 2021 2013 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhangbin Yu China 26 1.1k 818 693 690 510 114 2.7k
Shuping Han China 27 1.1k 1.0× 815 1.0× 703 1.0× 647 0.9× 493 1.0× 103 2.8k
Holly R. Harris United States 38 370 0.4× 597 0.7× 1.0k 1.5× 996 1.4× 265 0.5× 125 3.8k
Verónica Mericq Chile 35 1.8k 1.7× 998 1.2× 750 1.1× 615 0.9× 91 0.2× 167 4.4k
Nicola Colacurci Italy 36 521 0.5× 416 0.5× 1.2k 1.7× 926 1.3× 163 0.3× 176 4.1k
Sylvain Sebért United Kingdom 28 931 0.9× 452 0.6× 456 0.7× 481 0.7× 107 0.2× 105 2.5k
Maria Elisabeth Street Italy 30 490 0.5× 475 0.6× 251 0.4× 290 0.4× 184 0.4× 123 2.4k
Mohammad Reza Safarinejad Iran 41 516 0.5× 774 0.9× 145 0.2× 883 1.3× 122 0.2× 134 4.6k
Jean‐Claude Forest Canada 32 1.6k 1.5× 247 0.3× 1.8k 2.6× 668 1.0× 82 0.2× 125 3.3k
Nikolaos Vrachnis Greece 27 528 0.5× 273 0.3× 807 1.2× 481 0.7× 83 0.2× 125 2.2k
Annemieke Hoek Netherlands 33 984 0.9× 608 0.7× 395 0.6× 1.4k 2.0× 86 0.2× 131 3.9k

Countries citing papers authored by Zhangbin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Zhangbin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhangbin Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhangbin Yu. A scholar is included among the top collaborators of Zhangbin Yu 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 Zhangbin Yu. Zhangbin Yu 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.
Ding, Lu, et al.. (2025). A comprehensive benchmark of very preterm and extremely preterm infant care in Shenzhen: insights from the triple aim framework. ˜The œItalian Journal of Pediatrics/Italian journal of pediatrics. 51(1). 186–186.
2.
Guo, Xin, et al.. (2024). Association between viral infection and bronchopulmonary dysplasia in preterm infants: a systematic review and meta-analysis. European Journal of Pediatrics. 183(7). 2965–2981. 1 indexed citations
3.
Li, Rui, et al.. (2024). Efficacy of home phototherapy versus inpatient phototherapy for neonatal hyperbilirubinemia: a systematic review and meta-analysis. ˜The œItalian Journal of Pediatrics/Italian journal of pediatrics. 50(1). 37–37. 6 indexed citations
5.
Wu, Xiujuan, et al.. (2024). A systematic review and meta-analysis of breastfeeding and neurodevelopmental outcomes in preterm infant. Frontiers in Public Health. 12. 1401250–1401250. 9 indexed citations
6.
Zhang, Tiesong, Xiaomei Liu, Jin Gao, et al.. (2022). Oxygen Saturation Ranges for Healthy Newborns within 2 h at Altitudes between 847 and 4,360 m: A Prospective Cohort Study. Neonatology. 120(1). 111–117. 1 indexed citations
7.
Liu, Linjie, Huimin Li, Jingai Zhu, et al.. (2021). The role of polypeptide PDTLN1 in suppression of PI3K/AKT signaling causes cardiogenetic disorders in vitro and in vivo. Life Sciences. 289. 120244–120244. 6 indexed citations
10.
Wang, Juan, Jing Yin, Xingyun Wang, et al.. (2019). Changing expression profiles of mRNA, lncRNA, circRNA, and miRNA in lung tissue reveal the pathophysiological of bronchopulmonary dysplasia (BPD) in mouse model. Journal of Cellular Biochemistry. 120(6). 9369–9380. 38 indexed citations
12.
Liu, Heng, Yin Hu, Jing Yin, et al.. (2019). Effects of long non-coding RNA uc.245 on cardiomyocyte-like differentiation in P19 cells via FOG2. Gene. 694. 83–92. 5 indexed citations
13.
Hu, Yin, Mengmeng Li, Jingai Zhu, et al.. (2017). Peptidomic Analysis of Maternal Serum to Identify Biomarker Candidates for Prenatal Diagnosis of Tetralogy of Fallot. Journal of Cellular Biochemistry. 119(1). 468–477. 6 indexed citations
14.
Zhang, Jingjing, Liang Dong, Qing Cheng, et al.. (2017). Peptidomic Analysis of Fetal Heart Tissue for Identification of Endogenous Peptides Involved in Tetralogy of Fallot. DNA and Cell Biology. 36(6). 451–461. 8 indexed citations
15.
Gu, Meng, Wenjuan Tu, Jing Zhao, et al.. (2016). Circulating LncRNAs as Novel, Non-Invasive Biomarkers for Prenatal Detection of Fetal Congenital Heart Defects. Cellular Physiology and Biochemistry. 38(4). 1459–1471. 50 indexed citations
16.
Li, Xing, Meng Gu, Yumei Chen, et al.. (2016). Peptidomic Analysis of Amniotic Fluid for Identification of Putative Bioactive Peptides in Ventricular Septal Defect. Cellular Physiology and Biochemistry. 38(5). 1999–2014. 11 indexed citations
17.
Han, Shuping & Zhangbin Yu. (2014). Guidelines for the establishment and operation of a donor human milk banking in 2013. Zhonghua shiyong erke linchuang zazhi. 29(23). 1838–1840. 3 indexed citations
18.
Yu, Zhangbin, et al.. (2014). Meta-analysis of donor human milk versus formula milk for feeding very low birth weight and extremely low birth weight infants. Zhonghua weichan yixue zazhi. 17(11). 748–754. 1 indexed citations
19.
Sun, Qian, Yi‐Lang Chen, Zhangbin Yu, et al.. (2011). Long-term Consequences of the Early Treatment of Children with Congenital Hypothyroidism Detected by Neonatal Screening in Nanjing, China: a 12-year Follow-up Study. Journal of Tropical Pediatrics. 58(1). 79–80. 16 indexed citations
20.
Zhu, Chun, Zhangbin Yu, Xiaohong Chen, et al.. (2011). DNA hypermethylation of the NOX5 gene in fetal ventricular septal defect. Experimental and Therapeutic Medicine. 2(5). 1011–1015. 27 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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