Shuping Han

4.2k total citations · 2 hit papers
103 papers, 2.8k citations indexed

About

Shuping Han is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Shuping Han has authored 103 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Pulmonary and Respiratory Medicine, 36 papers in Molecular Biology and 34 papers in Nutrition and Dietetics. Recurrent topics in Shuping Han's work include Infant Nutrition and Health (32 papers), Neonatal Respiratory Health Research (27 papers) and MicroRNA in disease regulation (14 papers). Shuping Han is often cited by papers focused on Infant Nutrition and Health (32 papers), Neonatal Respiratory Health Research (27 papers) and MicroRNA in disease regulation (14 papers). Shuping Han collaborates with scholars based in China, United States and Canada. Shuping Han's co-authors include Zhangbin Yu, 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 SHILAP Revista de lepidopterología, PLoS ONE and PEDIATRICS.

In The Last Decade

Shuping Han

96 papers receiving 2.7k 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
Shuping Han China 27 1.1k 815 703 647 493 103 2.8k
Zhangbin Yu China 26 1.1k 1.0× 818 1.0× 693 1.0× 690 1.1× 510 1.0× 114 2.7k
Holly R. Harris United States 38 370 0.3× 597 0.7× 1.0k 1.4× 996 1.5× 265 0.5× 125 3.8k
Verónica Mericq Chile 35 1.8k 1.6× 998 1.2× 750 1.1× 615 1.0× 91 0.2× 167 4.4k
Sylvain Sebért United Kingdom 28 931 0.8× 452 0.6× 456 0.6× 481 0.7× 107 0.2× 105 2.5k
Anneli Pouta Finland 40 2.1k 1.9× 369 0.5× 1.9k 2.7× 1.4k 2.1× 106 0.2× 114 4.7k
Maria Elisabeth Street Italy 30 490 0.4× 475 0.6× 251 0.4× 290 0.4× 184 0.4× 123 2.4k
Anna Maria Marconi Italy 37 2.4k 2.2× 638 0.8× 2.3k 3.2× 354 0.5× 81 0.2× 133 4.5k
Mohammad Reza Safarinejad Iran 41 516 0.5× 774 0.9× 145 0.2× 883 1.4× 122 0.2× 134 4.6k
Costantino Di Carlo Italy 36 629 0.6× 364 0.4× 1.1k 1.6× 1.1k 1.8× 75 0.2× 197 4.4k
Mary E. Wlodek Australia 34 2.7k 2.5× 652 0.8× 1.9k 2.7× 554 0.9× 52 0.1× 190 4.4k

Countries citing papers authored by Shuping Han

Since Specialization
Citations

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

Fields of papers citing papers by Shuping Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuping Han

This figure shows the co-authorship network connecting the top 25 collaborators of Shuping Han. A scholar is included among the top collaborators of Shuping Han 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 Shuping Han. Shuping Han 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.
Chen, Yanjie, Wenjuan Chen, Y. Sophia Dai, et al.. (2024). Human breast milk-derived phospholipid DOPE ameliorates intestinal injury associated with NEC by inhibiting ferroptosis. Food & Function. 15(21). 10811–10822. 1 indexed citations
2.
Yang, Na, Lu Lv, Shuping Han, et al.. (2024). Efficacy, safety and treatment satisfaction of transition to a regimen of insulin degludec/aspart: A pilot study. World Journal of Diabetes. 16(1). 95209–95209.
3.
Hu, Xiaoshan, et al.. (2023). Incidence and Risk Factors for Retinopathy of Prematurity in a Tertiary Hospital in China. Clinical ophthalmology. Volume 17. 3189–3194. 2 indexed citations
4.
Han, Shuping. (2023). Improving healthcare for children in rural China: commentary on WeChat-based self-assessment with tailored feedback. The Lancet Regional Health - Western Pacific. 37. 100827–100827.
5.
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
8.
Hei, Mingyan, Xiangyu Gao, Ying Li, et al.. (2020). Family Integrated Care for Preterm Infants in China: A Cluster Randomized Controlled Trial. The Journal of Pediatrics. 228. 36–43.e2. 52 indexed citations
9.
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
10.
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
11.
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
12.
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
13.
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
14.
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
15.
Zhu, Shasha, Xiaoshan Hu, Zhangbin Yu, et al.. (2015). Effect of miR-20b on Apoptosis, Differentiation, the BMP Signaling Pathway and Mitochondrial Function in the P19 Cell Model of Cardiac Differentiation In Vitro. PLoS ONE. 10(4). e0123519–e0123519. 15 indexed citations
16.
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
17.
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
18.
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
19.
Yu, Zhangbin, et al.. (2011). Genetic Polymorphisms in Adipokine Genes and the Risk of Obesity: A Systematic Review and Meta‐Analysis. Obesity. 20(2). 396–406. 87 indexed citations
20.
Gu, Nan, Shuping Han, Fei Li, et al.. (2007). Resistin-binding peptide antagonizes role of resistin on white adipose tissue. Acta Pharmacologica Sinica. 28(2). 221–226. 5 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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