Xiangtian Yu

1.2k total citations
48 papers, 740 citations indexed

About

Xiangtian Yu is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Oncology. According to data from OpenAlex, Xiangtian Yu has authored 48 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 5 papers in Pediatrics, Perinatology and Child Health and 5 papers in Oncology. Recurrent topics in Xiangtian Yu's work include Bioinformatics and Genomic Networks (17 papers), Gene expression and cancer classification (10 papers) and Gene Regulatory Network Analysis (7 papers). Xiangtian Yu is often cited by papers focused on Bioinformatics and Genomic Networks (17 papers), Gene expression and cancer classification (10 papers) and Gene Regulatory Network Analysis (7 papers). Xiangtian Yu collaborates with scholars based in China, Hong Kong and Japan. Xiangtian Yu's co-authors include Tao Zeng, Luonan Chen, Rui Liu, Xiaoping Liu, Kazuyuki Aihara, Guojun Li, Dong Xu, Qianqian Shi, Xiao Chang and Meiyi Li and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Xiangtian Yu

45 papers receiving 725 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangtian Yu China 15 541 79 72 56 43 48 740
Yuexu Jiang United States 13 739 1.4× 111 1.4× 51 0.7× 40 0.7× 28 0.7× 35 995
Jiayuan Zhong China 12 235 0.4× 58 0.7× 22 0.3× 14 0.3× 17 0.4× 35 358
Peipei Ping United States 10 445 0.8× 64 0.8× 34 0.5× 46 0.8× 48 1.1× 23 759
Zahra Razaghi‐Moghadam Germany 11 374 0.7× 22 0.3× 80 1.1× 45 0.8× 18 0.4× 33 597
Yufei Xiao China 12 399 0.7× 38 0.5× 71 1.0× 55 1.0× 71 1.7× 33 657
Zhong Wang China 16 287 0.5× 31 0.4× 53 0.7× 36 0.6× 28 0.7× 60 991
Srikant Verma India 5 595 1.1× 129 1.6× 54 0.8× 105 1.9× 41 1.0× 5 891
E. Becker France 18 545 1.0× 72 0.9× 64 0.9× 83 1.5× 27 0.6× 66 934
Enrico Giampieri Italy 13 462 0.9× 78 1.0× 19 0.3× 91 1.6× 53 1.2× 48 817
Xuwen Wang China 16 409 0.8× 38 0.5× 130 1.8× 77 1.4× 19 0.4× 72 863

Countries citing papers authored by Xiangtian Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiangtian Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangtian Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangtian Yu. A scholar is included among the top collaborators of Xiangtian 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 Xiangtian Yu. Xiangtian 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.
Zhang, Hao, Lu Qi, Shanshan Li, et al.. (2025). Reference Intervals for 24-Hour Urinary Calcium Excretion and Its Association With Bone Metabolism: A Multicenter Study. The Journal of Clinical Endocrinology & Metabolism. 110(11). e3783–e3793. 1 indexed citations
2.
Wang, Jie, Dandan Yan, Suna Wang, et al.. (2025). Osteopenia Metabolomic Biomarkers for Early Warning of Osteoporosis. Metabolites. 15(1). 66–66. 1 indexed citations
3.
Tang, Hui, et al.. (2024). Exploring structured molecular landscape from single-cell multi-omics data by an explainable multimodal model. iScience. 27(12). 111131–111131. 2 indexed citations
4.
Liu, Dan, Ying Zhang, Rui Han, et al.. (2024). Exercise‐induced improvement of glycemic fluctuation and its relationship with fat and muscle distribution in type 2 diabetes. Journal of Diabetes. 16(4). e13549–e13549. 6 indexed citations
5.
Xu, Tian, Shuqin Xu, Youben Fan, et al.. (2023). Genomic Profiling Reveals the Variant Landscape of Sporadic Parathyroid Adenomas in Chinese Population. The Journal of Clinical Endocrinology & Metabolism. 108(7). 1768–1775. 9 indexed citations
6.
Yu, Xiangtian, Jingshen Wu, Bo Liu, et al.. (2023). CBX4 deletion promotes tumorigenesis under KrasG12D background by inducing genomic instability. Signal Transduction and Targeted Therapy. 8(1). 343–343. 13 indexed citations
7.
Li, Yue, Dewei Ye, Xiangtian Yu, et al.. (2023). Longitudinal metabolomics integrated with machine learning identifies novel biomarkers of gestational diabetes mellitus. Free Radical Biology and Medicine. 209(Pt 1). 9–17. 10 indexed citations
8.
Yan, Dandan, Jie Xu, Xiangtian Yu, et al.. (2023). Genetic variants in epoxyeicosatrienoic acid processing and degradation pathways are associated with gestational diabetes mellitus. Nutrition Journal. 22(1). 31–31. 4 indexed citations
9.
Zhang, Lun, Huiyuan Zhang, Xiangtian Yu, et al.. (2022). Superhydrophobic MXene Coating with Biomimetic Structure for Self-Healing Photothermal Deicing and Photoelectric Detector. ACS Applied Materials & Interfaces. 14(47). 53298–53313. 29 indexed citations
10.
Liu, Dan, Ying Zhang, Liang Wu, et al.. (2022). Effects of Exercise Intervention on Type 2 Diabetes Patients With Abdominal Obesity and Low Thigh Circumference (EXTEND): Study Protocol for a Randomized Controlled Trial. Frontiers in Endocrinology. 13. 937264–937264. 5 indexed citations
11.
Luo, Mingjuan, Wenqian Lu, Rong Zhang, et al.. (2022). The mediating role of maternal metabolites between lipids and adverse pregnancy outcomes of gestational diabetes mellitus. Frontiers in Medicine. 9. 925602–925602. 9 indexed citations
12.
Sun, Tao, Mengci Li, Xiangtian Yu, et al.. (2021). 3MCor: an integrative web server for metabolome–microbiome-metadata correlation analysis. Bioinformatics. 38(5). 1378–1384. 4 indexed citations
13.
Guo, Wei-Feng, Xiangtian Yu, Qianqian Shi, et al.. (2021). Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis. PLoS Computational Biology. 17(5). e1008962–e1008962. 23 indexed citations
14.
Yu, Xiangtian, Yan Xu, Sibao Wan, et al.. (2020). Identifying Essential Methylation Patterns and Genes Associated With Stroke. IEEE Access. 8. 96669–96676. 4 indexed citations
15.
Liu, Rui, Jiayuan Zhong, Xiangtian Yu, Yongjun Li, & Pei Chen. (2019). Identifying Critical State of Complex Diseases by Single-Sample-Based Hidden Markov Model. Frontiers in Genetics. 10. 285–285. 17 indexed citations
16.
Yu, Xiangtian, et al.. (2018). Detecting Personalized Determinants During Drug Treatment from Omics Big Data. Current Pharmaceutical Design. 24(32). 3727–3738. 8 indexed citations
17.
Yu, Xiangtian & Tao Zeng. (2018). Integrative Analysis of Omics Big Data. Methods in molecular biology. 1754. 109–135. 40 indexed citations
18.
Yu, Xiangtian, Jingsong Zhang, Shaoyan Sun, et al.. (2017). Individual-specific edge-network analysis for disease prediction. Nucleic Acids Research. 45(20). e170–e170. 57 indexed citations
19.
Liu, Xiaoping, Xiao Chang, Rui Liu, et al.. (2017). Quantifying critical states of complex diseases using single-sample dynamic network biomarkers. PLoS Computational Biology. 13(7). e1005633–e1005633. 72 indexed citations
20.
Zeng, Tao, Xiangtian Yu, Xiaoping Liu, et al.. (2014). Edge biomarkers for classification and prediction of phenotypes. Science China Life Sciences. 57(11). 1103–1114. 27 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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