Ying Jiang

2.0k total citations
71 papers, 1.5k citations indexed

About

Ying Jiang is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Molecular Biology. According to data from OpenAlex, Ying Jiang has authored 71 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pediatrics, Perinatology and Child Health, 23 papers in Obstetrics and Gynecology and 17 papers in Molecular Biology. Recurrent topics in Ying Jiang's work include Birth, Development, and Health (16 papers), Pregnancy and preeclampsia studies (13 papers) and Gestational Diabetes Research and Management (12 papers). Ying Jiang is often cited by papers focused on Birth, Development, and Health (16 papers), Pregnancy and preeclampsia studies (13 papers) and Gestational Diabetes Research and Management (12 papers). Ying Jiang collaborates with scholars based in China, United States and Israel. Ying Jiang's co-authors include Qiong Luo, Jian‐Zhong Sheng, Guolian Ding, Gengqi Li, Yuanyuan Li, Dan Zhang, Jing Shu, Yetao Xu, Wei Xia and Shunqing Xu and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Ying Jiang

67 papers receiving 1.4k 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 Jiang China 22 485 376 357 348 285 71 1.5k
Mindy Zhang United States 21 476 1.0× 209 0.6× 111 0.3× 279 0.8× 133 0.5× 43 2.2k
Bolan Yu China 24 501 1.0× 150 0.4× 110 0.3× 170 0.5× 111 0.4× 60 1.4k
Weiwei Cheng China 21 640 1.3× 404 1.1× 442 1.2× 504 1.4× 48 0.2× 70 1.7k
Zhen Yu China 24 456 0.9× 91 0.2× 153 0.4× 147 0.4× 201 0.7× 104 1.5k
Fangwei Liu China 17 329 0.7× 390 1.0× 64 0.2× 165 0.5× 112 0.4× 37 1.7k
Jean Guibourdenche France 29 801 1.7× 1.3k 3.5× 137 0.4× 979 2.8× 135 0.5× 79 2.7k
Nirmal S. Panesar Hong Kong 19 352 0.7× 288 0.8× 120 0.3× 497 1.4× 50 0.2× 64 1.4k
Monika Zbucka-Krętowska Poland 16 210 0.4× 119 0.3× 100 0.3× 145 0.4× 90 0.3× 46 621
Mariana Salgado‐Bustamante Mexico 14 242 0.5× 103 0.3× 129 0.4× 55 0.2× 114 0.4× 34 691
Shigeki Uehara Japan 19 184 0.4× 153 0.4× 67 0.2× 297 0.9× 289 1.0× 59 1.1k

Countries citing papers authored by Ying Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Ying Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Jiang. A scholar is included among the top collaborators of Ying Jiang 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 Jiang. Ying Jiang 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.
Feng, Yuting, Wenyue Xie, Zhuo Wan, et al.. (2025). Harnessing RGDS peptides to regulate bacterial-host interfaces for targeted antimicrobial therapy. Journal of Controlled Release. 384. 113922–113922. 4 indexed citations
2.
Xu, Hongwei, Yuting Feng, Yiming Han, et al.. (2024). Bacterial–host adhesion dominated by collagen subtypes remodelled by osmotic pressure. npj Biofilms and Microbiomes. 10(1). 124–124. 1 indexed citations
3.
4.
5.
Wei, Jingjing, Jun Zhang, Ying Jiang, et al.. (2023). Elevated Pro-inflammatory Cytokine Levels in Acute Reflux Esophagitis Are Reduced by 1,25 Dihydroxy Vitamin D3. In Vivo. 37(1). 79–87.
6.
Jiang, Ying, et al.. (2022). N-3 polyunsaturated fatty acids protect esophageal epithelial cells from acid exposure. Food Research International. 162(Pt A). 111943–111943. 3 indexed citations
7.
Jiang, Ying, Hong Zhu, Zi Chen, et al.. (2022). Hepatic IGF2/H19 Epigenetic Alteration Induced Glucose Intolerance in Gestational Diabetes Mellitus Offspring via FoxO1 Mediation. Frontiers in Endocrinology. 13. 844707–844707. 14 indexed citations
8.
Chen, Huiqi, Minmin Wang, Liping Qiu, et al.. (2022). The association between alteration of maternal lipid levels and birthweight at term: A within-family comparison. Frontiers in Endocrinology. 13. 989663–989663. 3 indexed citations
9.
Liu, Jinghua, et al.. (2022). The birth weight of macrosomia influence the accuracy of ultrasound estimation of fetal weight at term. Journal of Clinical Ultrasound. 50(7). 967–973. 5 indexed citations
10.
Lin, Jinru, Ying Jiang, Hao Guo, et al.. (2020). Multi-walled carbon nanotubes (MWCNTs) transformed THP-1 macrophages into foam cells: Impact of pulmonary surfactant component dipalmitoylphosphatidylcholine. Journal of Hazardous Materials. 392. 122286–122286. 26 indexed citations
11.
Chen, Huiqi, Matthew Sagnelli, Baihui Zhao, et al.. (2020). Association between maternal blood lipids levels during pregnancy and risk of small-for-gestational-age infants. Scientific Reports. 10(1). 19865–19865. 27 indexed citations
12.
Zhu, Hong, Bin Chen, Yi Cheng, et al.. (2019). Insulin Therapy for Gestational Diabetes Mellitus Does Not Fully Protect Offspring From Diet-Induced Metabolic Disorders. Diabetes. 68(4). 696–708. 40 indexed citations
13.
Cao, Tiefeng, Ying Jiang, Zhangsheng Wang, et al.. (2019). H19 lncRNA identified as a master regulator of genes that drive uterine leiomyomas. Oncogene. 38(27). 5356–5366. 60 indexed citations
14.
Jiang, Ying, Yeqing Qian, Mengmeng Yang, et al.. (2019). Whole-Exome Sequencing Revealed Mutations of MED12 and EFNB1 in Fetal Agenesis of the Corpus Callosum. Frontiers in Genetics. 10. 1201–1201. 10 indexed citations
15.
Liao, Yun, Gufeng Xu, Ying Jiang, et al.. (2018). Comparative proteomic analysis of maternal peripheral plasma and umbilical venous plasma from normal and gestational diabetes mellitus pregnancies. Medicine. 97(36). e12232–e12232. 8 indexed citations
16.
Song, Dan, Jiabao Zhao, Su Chen, Ying Jiang, & Jingjing Hou. (2017). Etoposide induced NMI promotes cell apoptosis by activating the ARF-p53 signaling pathway in lung carcinoma. Biochemical and Biophysical Research Communications. 495(1). 368–374. 7 indexed citations
17.
Jiang, Ying, Wei Xia, Jie Yang, et al.. (2015). BPA-induced DNA hypermethylation of the master mitochondrial gene PGC-1α contributes to cardiomyopathy in male rats. Toxicology. 329. 21–31. 48 indexed citations
18.
Luo, Qiong, Ying Jiang, Min Jin, Jian Xu, & Hefeng Huang. (2013). Proteomic Analysis on the Alteration of Protein Expression in the Early-Stage Placental Villous Tissue of Electromagnetic Fields Associated With Cell Phone Exposure. Reproductive Sciences. 20(9). 1055–1061. 16 indexed citations
19.
Ding, Guolian, Fangfang Wang, Jing Shu, et al.. (2012). Transgenerational Glucose Intolerance With Igf2/H19 Epigenetic Alterations in Mouse Islet Induced by Intrauterine Hyperglycemia. Diabetes. 61(5). 1133–1142. 204 indexed citations
20.
Zheng, Qinghua, et al.. (2008). Radiographic Investigation of Frequency and Degree of Canal Curvatures in Chinese Mandibular Permanent Incisors. Journal of Endodontics. 35(2). 175–178. 16 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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