Yan Yao

1.8k total citations
86 papers, 1.3k citations indexed

About

Yan Yao is a scholar working on Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yan Yao has authored 86 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 17 papers in Epidemiology and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yan Yao's work include Cancer-related molecular mechanisms research (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Sex work and related issues (5 papers). Yan Yao is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Sex work and related issues (5 papers). Yan Yao collaborates with scholars based in China, United States and Taiwan. Yan Yao's co-authors include Lina Jin, Lijuan Wang, Yuzhi Wang, Yingqi Xing, Liangshu Feng, Xin Guo, Tianyu Feng, Pingping Zheng, Kexin Li and Jiachun Feng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Yan Yao

83 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Yao China 21 407 211 174 149 145 86 1.3k
Xinmin Liu China 25 519 1.3× 197 0.9× 245 1.4× 134 0.9× 75 0.5× 102 1.8k
Kathryn Miller United States 23 303 0.7× 140 0.7× 222 1.3× 160 1.1× 128 0.9× 65 1.6k
Kai Zhao China 23 576 1.4× 121 0.6× 224 1.3× 156 1.0× 248 1.7× 105 1.8k
Jing Zeng China 24 490 1.2× 282 1.3× 162 0.9× 68 0.5× 41 0.3× 117 1.6k
Shan Luo China 21 372 0.9× 140 0.7× 115 0.7× 295 2.0× 56 0.4× 76 1.3k
Tian Tian China 18 356 0.9× 265 1.3× 109 0.6× 108 0.7× 49 0.3× 85 1.2k
Guixian Wu China 15 242 0.6× 171 0.8× 70 0.4× 150 1.0× 61 0.4× 53 1.1k
Zhaozhong Zhu United States 24 435 1.1× 445 2.1× 100 0.6× 89 0.6× 91 0.6× 75 1.8k
Yasuhiro Yamamoto Japan 24 729 1.8× 273 1.3× 131 0.8× 179 1.2× 254 1.8× 105 2.1k
Jing Lin China 18 264 0.6× 88 0.4× 95 0.5× 156 1.0× 41 0.3× 49 1.1k

Countries citing papers authored by Yan Yao

Since Specialization
Citations

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

Fields of papers citing papers by Yan Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Yao. A scholar is included among the top collaborators of Yan Yao 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 Yan Yao. Yan Yao 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.
Duan, Xuejing, Yang Sun, Li Li, et al.. (2025). Diagnostic Yield of Updated Indications for Endomyocardial Biopsy and Its Clinical Predictors in a Chinese Cohort. Cardiology. 151(1). 73–82.
2.
3.
Yi, Jian, Jihong Li, Yan Yao, et al.. (2024). Divergent responses of woody plant leaf and root non-structural carbohydrates to nitrogen addition in China: Seasonal variations and ecological implications. The Science of The Total Environment. 950. 175425–175425. 6 indexed citations
4.
Yan, Xiaohong, et al.. (2023). Pre-pregnancy obesity is not associated with poor outcomes in fresh transfer in vitro fertilization cycles: a retrospective study. BMC Pregnancy and Childbirth. 23(1). 633–633. 5 indexed citations
5.
Liu, Jun, Tingting Guo, Xinxin Dong, et al.. (2023). Adverse childhood experiences and human immunodeficiency virus testing among adults with human immunodeficiency virus risk behaviours. Stress and Health. 40(1). e3262–e3262. 1 indexed citations
6.
Yao, Yan, Jianzhou Yang, Xiangjun Zhang, et al.. (2022). Reasons for COVID-19 Vaccine Hesitancy Among Chinese People Living With HIV/AIDS: Structural Equation Modeling Analysis. JMIR Public Health and Surveillance. 8(6). e33995–e33995. 21 indexed citations
7.
Yao, Yan, et al.. (2022). Correlation between Retinol Binding Protein 4 and CT Perfusion Imaging and Prognosis in Patients with Acute Ischemic Stroke Based on Cell Imaging Data Analysis. Contrast Media & Molecular Imaging. 2022(1). 3055712–3055712. 2 indexed citations
8.
Feng, Feifei, Pingping Zheng, Lijuan Wang, et al.. (2021). Dysregulated lncRNA and mRNA may promote the progression of ischemic stroke via immune and inflammatory pathways: results from RNA sequencing and bioinformatics analysis. Genes & Genomics. 44(1). 97–108. 8 indexed citations
9.
Yang, Fang, Chen Yang, Zhiqiang Xue, et al.. (2020). High‐Throughput Sequencing and Exploration of the lncRNA‐circRNA‐miRNA‐mRNA Network in Type 2 Diabetes Mellitus. BioMed Research International. 2020(1). 56 indexed citations
10.
Wang, Min, Lijuan Wang, Liyuan Pu, et al.. (2020). LncRNAs related key pathways and genes in ischemic stroke by weighted gene co-expression network analysis (WGCNA). Genomics. 112(3). 2302–2308. 54 indexed citations
11.
Pu, Liyuan, Min Wang, Kexin Li, et al.. (2020). Identification micro-RNAs functional modules and genes of ischemic stroke based on weighted gene co-expression network analysis (WGCNA). Genomics. 112(4). 2748–2754. 14 indexed citations
12.
Feng, Tianyu, Kexin Li, Pingping Zheng, et al.. (2019). Weighted Gene Coexpression Network Analysis Identified MicroRNA Coexpression Modules and Related Pathways in Type 2 Diabetes Mellitus. Oxidative Medicine and Cellular Longevity. 2019. 1–12. 31 indexed citations
13.
14.
Zhang, Luoyan, Zhen Zhang, Xuejie Zhang, et al.. (2018). Comprehensive meta-analysis and co-expression network analysis identify candidate genes for salt stress response in Arabidopsis. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 153(3). 367–377. 11 indexed citations
15.
Yao, Yan, Xin Guo, Jing Dou, et al.. (2018). Association of Blood Pressure with Fasting Blood Glucose Levels in Northeast China: A Cross-Sectional Study. Scientific Reports. 8(1). 7917–7917. 22 indexed citations
16.
Li, Bo, et al.. (2011). Meta-analysis on efficacy and safety of rifapentine and rifampicin in treatment of pulmonary tuberculosis. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 37(3). 523. 1 indexed citations
17.
18.
Ji, Qunsheng, Mark J. Mulvihill, Maryland Rosenfeld-Franklin, et al.. (2007). Preclinical characterization of OSI-906: A novel IGF-1R kinase inhibitor in clinical trials. Molecular Cancer Therapeutics. 6. 4 indexed citations
19.
Yao, Yan. (2006). A NEW SPECIES OF THE GENUS TETRIX LATREILLE FROM SOUTH EASTERN YUNNAN (ORTHOPTERA, TETRIGIDAE). Acta Zootaxonomica Sinica. 1 indexed citations
20.
Yao, Yan. (2003). Synthesis and Properties of Degradable Graft Copolymer of Vinyl Acetate and Sericin. Chemical Research in Chinese Universities. 2 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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