Ping Yu

2.0k total citations
49 papers, 615 citations indexed

About

Ping Yu is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, Ping Yu has authored 49 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Pediatrics, Perinatology and Child Health and 8 papers in Obstetrics and Gynecology. Recurrent topics in Ping Yu's work include Pregnancy and preeclampsia studies (7 papers), Birth, Development, and Health (6 papers) and Congenital Heart Disease Studies (6 papers). Ping Yu is often cited by papers focused on Pregnancy and preeclampsia studies (7 papers), Birth, Development, and Health (6 papers) and Congenital Heart Disease Studies (6 papers). Ping Yu collaborates with scholars based in China, United States and Greece. Ping Yu's co-authors include Ying Deng, Jun Zhu, Nana Li, Xiaohong Li, Zhen Liu, Qifei Wang, Hengwei Fan, Junlin Yang, Nali Deng and Zifang Huang and has published in prestigious journals such as Nature Communications, Scientific Reports and FEBS Letters.

In The Last Decade

Ping Yu

43 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Yu China 15 124 122 102 78 74 49 615
Bin Sun China 17 99 0.8× 249 2.0× 80 0.8× 80 1.0× 109 1.5× 44 986
Ivan Mihaljević Croatia 14 109 0.9× 205 1.7× 30 0.3× 51 0.7× 39 0.5× 53 912
Camille Pouchieu France 20 68 0.5× 182 1.5× 84 0.8× 107 1.4× 31 0.4× 41 944
Mi‐Zhen Xia China 15 92 0.7× 130 1.1× 33 0.3× 81 1.0× 108 1.5× 16 622
Jorge Alejandro Alegría‐Torres Mexico 13 241 1.9× 315 2.6× 33 0.3× 33 0.4× 97 1.3× 28 806
Yuanli Wang China 14 60 0.5× 160 1.3× 53 0.5× 22 0.3× 37 0.5× 50 564
Petr Matucha Czechia 14 72 0.6× 157 1.3× 115 1.1× 69 0.9× 62 0.8× 38 697
Simona De Angelis Italy 16 114 0.9× 158 1.3× 84 0.8× 26 0.3× 144 1.9× 29 789
Liyun Wang China 14 93 0.8× 149 1.2× 98 1.0× 70 0.9× 28 0.4× 40 647

Countries citing papers authored by Ping Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ping Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Yu. A scholar is included among the top collaborators of Ping 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 Ping Yu. Ping 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.
Wei, Xinran, Ping Yu, Jianmin Zhong, et al.. (2025). Case report: A case of lateral neck mass: ectopic thyroid carcinoma or lymph node metastasis?. Frontiers in Oncology. 14. 1501297–1501297.
3.
Li, Nana, Zhen Liu, Ying Deng, et al.. (2024). Association of maternal phthalates exposure and metabolic gene polymorphisms with congenital heart diseases: a multicenter case-control study. BMC Pregnancy and Childbirth. 24(1). 167–167. 3 indexed citations
4.
Shen, Dongsheng, Hao‐Bo Guo, Ping Yu, et al.. (2024). An ultra-sensitive CRISPR-Cas12a and aptamer-based biosensor utilizing Entropy-driven catalytic DNA networks for precise detection of DNA Methyltransferase 1. Talanta. 276. 126267–126267. 4 indexed citations
5.
Yu, Ping, Siqi Xiao, Wenxi Yu, et al.. (2024). Coexistence of papillary thyroid carcinoma and sarcoidosis: a case report and literature review. Journal of International Medical Research. 52(10). 3649348668–3649348668.
6.
Li, Nana, Ping Yu, Jing Tao, et al.. (2024). Inverse association between maternal serum concentrations of trace elements and risk of spontaneous preterm birth: a nested case–control study in China. British Journal Of Nutrition. 131(8). 1425–1435. 1 indexed citations
7.
Tao, Jing, Nana Li, Ying Deng, et al.. (2023). Polymorphisms in gene UGT1A1 modify the association of prenatal exposure to polycyclic aromatic hydrocarbons with congenital heart diseases risk. The Journal of Maternal-Fetal & Neonatal Medicine. 36(1). 2183743–2183743. 2 indexed citations
8.
Li, Lu, Hongmei Xu, Nana Li, et al.. (2023). Maternal environmental, occupational, and urinary metabolite levels of benzene compounds and their association with congenital heart diseases in offspring: a case‒control study in China. Environmental Science and Pollution Research. 30(24). 66021–66032. 1 indexed citations
9.
Li, Nana, Zhen Liu, Lu Li, et al.. (2023). A novel heterozygous ZBTB18 missense mutation in a family with non-syndromic intellectual disability. Neurogenetics. 24(4). 251–262.
10.
Liu, Zhen, Nana Li, Xiaoyu Pan, et al.. (2023). Comprehensive Multiomics Analysis of Monozygotic Twin Discordant for Double Outlet Right Ventricle. Twin Research and Human Genetics. 26(6). 370–378. 1 indexed citations
12.
Liu, Zhen, Ping Yu, Xiaohong Li, et al.. (2021). Maternal trichloroethylene exposure and metabolic gene polymorphisms may interact during fetal cardiovascular malformation. Reproductive Toxicology. 106. 1–8. 6 indexed citations
13.
Zhou, Yan, Qiong Yang, Xiaoling Liu, et al.. (2021). Machine learning models for screening carotid atherosclerosis in asymptomatic adults. Scientific Reports. 11(1). 22236–22236. 10 indexed citations
14.
Zhang, Nannan, Jiaxiang Yang, Ying Deng, et al.. (2020). Association between metal cobalt exposure and the risk of congenital heart defect occurrence in offspring: a multi-hospital case-control study. Environmental Health and Preventive Medicine. 25(1). 38–38. 21 indexed citations
15.
Hong, Dandan, Hui Xu, Aihua Cao, et al.. (2018). Neurons in rat orbitofrontal cortex and medial prefrontal cortex exhibit distinct responses in reward and strategy-update in a risk-based decision-making task. Metabolic Brain Disease. 34(2). 417–429. 11 indexed citations
16.
Wang, Ke, et al.. (2018). Risk factors for renal involvement and severe kidney disease in 2731 Chinese children with Henoch–Schönlein purpura. Medicine. 97(38). e12520–e12520. 38 indexed citations
17.
Li, Nana, Yi Mu, Zhen Liu, et al.. (2018). Assessment of interaction between maternal polycyclic aromatic hydrocarbons exposure and genetic polymorphisms on the risk of congenital heart diseases. Scientific Reports. 8(1). 3075–3075. 35 indexed citations
18.
Dong, Liqun, et al.. (2016). Hashimoto's thyroiditis and papillary carcinoma in an adolescent girl: A case report. Molecular and Clinical Oncology. 5(1). 129–131. 1 indexed citations
19.
Yu, Ping, Huijuan Zhu, Hui Pan, et al.. (2015). The impact of maternal hypothyroidism during pregnancy on neonatal outcomes: a systematic review and meta-analysis. Gynecological Endocrinology. 32(1). 9–13. 28 indexed citations
20.
Chen, Kejing & Ping Yu. (2010). Foreign Direct Investment and Economic Growth in China: Evidence From a Two-Sector Model. SSRN Electronic Journal. 1 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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