Ruiling Yan

563 total citations
23 papers, 354 citations indexed

About

Ruiling Yan is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Genetics. According to data from OpenAlex, Ruiling Yan has authored 23 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pediatrics, Perinatology and Child Health, 9 papers in Obstetrics and Gynecology and 6 papers in Genetics. Recurrent topics in Ruiling Yan's work include Pregnancy and preeclampsia studies (7 papers), Reproductive System and Pregnancy (5 papers) and Maternal and fetal healthcare (3 papers). Ruiling Yan is often cited by papers focused on Pregnancy and preeclampsia studies (7 papers), Reproductive System and Pregnancy (5 papers) and Maternal and fetal healthcare (3 papers). Ruiling Yan collaborates with scholars based in China, United States and Germany. Ruiling Yan's co-authors include Baozhang Guan, Ruiman Li, Xingwang Zhang, Xuefeng Ma, Jie Zhang, Xin Luo, Xueqin Wang, Xin Luo, Jieyun Bai and Qiao Zhang and has published in prestigious journals such as Hypertension, Archives of Biochemistry and Biophysics and Journal of Proteome Research.

In The Last Decade

Ruiling Yan

21 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruiling Yan China 9 71 64 62 59 52 23 354
Kristin M. Bircsak United States 13 132 1.9× 85 1.3× 41 0.7× 77 1.3× 14 0.3× 24 480
Minghui Wu China 13 85 1.2× 67 1.0× 21 0.3× 49 0.8× 30 0.6× 27 319
Neha Sharma Singapore 10 162 2.3× 77 1.2× 27 0.4× 87 1.5× 35 0.7× 32 336
Nayan Kumar Mohanty India 11 87 1.2× 45 0.7× 16 0.3× 35 0.6× 16 0.3× 21 374
Anna Boss New Zealand 7 111 1.6× 79 1.2× 21 0.3× 110 1.9× 14 0.3× 13 345
Sajin Bae United States 9 198 2.8× 36 0.6× 33 0.5× 21 0.4× 21 0.4× 10 354
Fumio Sagami Japan 12 136 1.9× 34 0.5× 18 0.3× 19 0.3× 21 0.4× 44 410
Susmita Barman India 11 116 1.6× 9 0.1× 107 1.7× 25 0.4× 15 0.3× 18 382
Fred Buddingh United States 10 121 1.7× 18 0.3× 82 1.3× 14 0.2× 51 1.0× 17 429
Chirag Kariya United States 10 90 1.3× 53 0.8× 15 0.2× 44 0.7× 7 0.1× 13 360

Countries citing papers authored by Ruiling Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ruiling Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiling Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiling Yan. A scholar is included among the top collaborators of Ruiling Yan 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 Ruiling Yan. Ruiling Yan 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.
2.
Zhang, Ping, Lu Sun, Jingyun Wang, et al.. (2025). Targeting A2M-LRP1 reverses uterine spiral artery remodeling disorder and alleviates the progression of preeclampsia. Cell Communication and Signaling. 23(1). 107–107.
3.
Yang, Xiaofeng, Ping Zhang, Mengyuan Liu, et al.. (2024). Overexpressed Trophoblast Glycoprotein Contributes to Preeclampsia Development by Inducing Abnormal Trophoblast Migration and Invasion Toward the Uterine Spiral Artery. Hypertension. 81(7). 1524–1536. 5 indexed citations
4.
Yan, Ruiling, et al.. (2024). Effects of thalassemia minor on umbilical artery blood flow and perinatal outcomes in pregnancy: A retrospective cohort study. International Journal of Gynecology & Obstetrics. 168(1). 184–190.
5.
Yuan, Jie, et al.. (2024). Diagnostic value of serum human epididymal secretory protein 4 for endometrial cancer: a systematic review and meta analysis. Discover Oncology. 15(1). 498–498. 2 indexed citations
6.
Wang, Xiufang, et al.. (2024). Construction of a pathway-level model for preeclampsia based on gene expression data. Hypertension Research. 47(9). 2521–2531. 1 indexed citations
7.
Yan, Ruiling, et al.. (2023). Double-to-Single Umbilical Artery With a Low Pulsatility Index Leading to Fetal Death: A Case Report and Review of Literature. Cureus. 15(12). e51273–e51273. 2 indexed citations
8.
Zhou, Qiong, et al.. (2023). The value of combined detailed first-trimester ultrasound–biochemical analysis for screening fetal aneuploidy in the era of non-invasive prenatal testing. Archives of Gynecology and Obstetrics. 310(2). 843–853. 4 indexed citations
9.
Huang, Lili, et al.. (2023). Association between serum iron and liver transaminases based on a large adult women population. Journal of Health Population and Nutrition. 42(1). 69–69. 5 indexed citations
10.
Shi, Shanshan, et al.. (2023). Identification of complex and cryptic chromosomal rearrangements by optical genome mapping. Molecular Cytogenetics. 16(1). 5–5. 5 indexed citations
11.
Zhang, Nan, Shanshan Shi, Shaobin Lin, et al.. (2023). Application of SNPs with low minor allele frequencies in missing person identification (MPI) through kinship analysis of DNA mixtures. Electrophoresis. 44(19-20). 1569–1578. 1 indexed citations
12.
Liu, Mengyuan, Xiaofeng Yang, Lu Sun, et al.. (2022). Development of a prediction model on preeclampsia using machine learning-based method: a retrospective cohort study in China. Frontiers in Physiology. 13. 896969–896969. 30 indexed citations
13.
Liu, Jia, et al.. (2022). Machine learning-based prediction of postpartum hemorrhage after vaginal delivery: combining bleeding high risk factors and uterine contraction curve. Archives of Gynecology and Obstetrics. 306(4). 1015–1025. 24 indexed citations
14.
Wang, Xiufang, et al.. (2022). Plasma Olink Proteomics Identifies CCL20 as a Novel Predictive and Diagnostic Inflammatory Marker for Preeclampsia. Journal of Proteome Research. 21(12). 2998–3006. 22 indexed citations
15.
Guan, Baozhang, Ruiling Yan, Ruiman Li, & Xingwang Zhang. (2018). Selenium as a pleiotropic agent for medical discovery and drug delivery. International Journal of Nanomedicine. Volume 13. 7473–7490. 84 indexed citations
16.
Wang, Xueqin, et al.. (2015). Clinical Significance of First-Trimester Screening of the Retronasal Triangle for Identification of Primary Cleft Palate. Fetal Diagnosis and Therapy. 38(2). 135–141. 16 indexed citations
17.
Ma, Xuefeng, et al.. (2015). IKKβ/NF-κB mediated the low doses of bisphenol A induced migration of cervical cancer cells. Archives of Biochemistry and Biophysics. 573. 52–58. 57 indexed citations
18.
Yan, Ruiling, et al.. (2014). Analysis of feasibility of in vitro nuclear magnetic resonance tracking human umbilical cord mesenchymal stem cells by Gd-DTPA labeled. Magnetic Resonance Imaging. 32(7). 934–940. 8 indexed citations
19.
Luo, Xin, et al.. (2012). XRCC1 Polymorphisms are Associated with Cervical Cancer Risk and Response to Chemotherapy: a Systematic Review and Meta-analysis. Asian Pacific Journal of Cancer Prevention. 13(12). 6423–6427. 7 indexed citations
20.
Ren, Xiaolong, Ruiling Yan, Ying Zheng, et al.. (2010). Biliary cystadenocarcinoma diagnosed with real-time contrast-enhanced ultrasonography: report of a case with diagnostic features.. PubMed. 16(1). 131–5. 10 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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