Yingxi Yang

1.1k total citations
31 papers, 735 citations indexed

About

Yingxi Yang is a scholar working on Molecular Biology, Neurology and Cancer Research. According to data from OpenAlex, Yingxi Yang has authored 31 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Neurology and 4 papers in Cancer Research. Recurrent topics in Yingxi Yang's work include Machine Learning in Bioinformatics (7 papers), Intracranial Aneurysms: Treatment and Complications (5 papers) and Intracerebral and Subarachnoid Hemorrhage Research (5 papers). Yingxi Yang is often cited by papers focused on Machine Learning in Bioinformatics (7 papers), Intracranial Aneurysms: Treatment and Complications (5 papers) and Intracerebral and Subarachnoid Hemorrhage Research (5 papers). Yingxi Yang collaborates with scholars based in China, Hong Kong and United States. Yingxi Yang's co-authors include Yan Xu, Junping Zhang, Qiujin Jia, Zhongwen Qi, Hui Wang, Jiguang Wang, Ao Zhang, Huan Zhou, Yongcui Wang and Shilong Chen and has published in prestigious journals such as Circulation Research, Stroke and The American Journal of Human Genetics.

In The Last Decade

Yingxi Yang

30 papers receiving 724 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingxi Yang China 14 440 119 92 59 56 31 735
Yan Lei China 17 567 1.3× 323 2.7× 29 0.3× 64 1.1× 46 0.8× 59 919
Chengguo Wei United States 18 453 1.0× 148 1.2× 22 0.2× 35 0.6× 72 1.3× 28 1.1k
Jiagao Lv China 17 393 0.9× 96 0.8× 41 0.4× 243 4.1× 101 1.8× 40 1.0k
Ya He China 12 305 0.7× 150 1.3× 30 0.3× 12 0.2× 82 1.5× 24 649
Jiaojiao Pang China 15 372 0.8× 123 1.0× 43 0.5× 139 2.4× 27 0.5× 47 834
Jingwen Xia China 15 310 0.7× 199 1.7× 14 0.2× 59 1.0× 47 0.8× 36 622
Yanni Lv China 17 387 0.9× 114 1.0× 24 0.3× 34 0.6× 48 0.9× 39 728
Xiaolei Ren China 15 306 0.7× 149 1.3× 14 0.2× 63 1.1× 72 1.3× 47 652
Ye Gao China 15 318 0.7× 114 1.0× 20 0.2× 37 0.6× 55 1.0× 36 767

Countries citing papers authored by Yingxi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yingxi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingxi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yingxi Yang. A scholar is included among the top collaborators of Yingxi Yang 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 Yingxi Yang. Yingxi Yang 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.
Mu, Quanhua, Ruichao Chai, Yingxi Yang, Tao Jiang, & Jiguang Wang. (2023). EPCO-49. MYC AMPLIFICATION AT DIAGNOSIS REGULATES THERAPY-INDUCED HYPERMUTATION AT RECURRENT GLIOMA. Neuro-Oncology. 25(Supplement_5). v135–v135. 1 indexed citations
2.
Huo, Ran, Yingxi Yang, Zongchao Mo, et al.. (2023). Endothelial hyperactivation of mutant MAP3K3 induces cerebral cavernous malformation enhanced by PIK3CA GOF mutation. Angiogenesis. 26(2). 295–312. 13 indexed citations
3.
Liu, Changchun, et al.. (2023). REDUCING CARBON EMISSIONS BY USING PREFABRICATED DECORATION FLOOR SYSTEMS. Journal of Green Building. 18(1). 119–145. 3 indexed citations
4.
Sun, Quan, Yingxi Yang, Jonathan D. Rosen, et al.. (2022). MagicalRsq: Machine-learning-based genotype imputation quality calibration. The American Journal of Human Genetics. 109(11). 1986–1997. 10 indexed citations
5.
Yang, Yuchen, Gang Li, Yifang Xie, et al.. (2021). iSMNN: batch effect correction for single-cell RNA-seq data via iterative supervised mutual nearest neighbor refinement. Briefings in Bioinformatics. 22(5). 13 indexed citations
6.
Yang, Yingxi, Hui Wang, Wen Li, et al.. (2021). Prediction and analysis of multiple protein lysine modified sites based on conditional wasserstein generative adversarial networks. BMC Bioinformatics. 22(1). 171–171. 15 indexed citations
7.
Wang, Yongcui, Yingxi Yang, Shilong Chen, & Jiguang Wang. (2021). DeepDRK: a deep learning framework for drug repurposing through kernel-based multi-omics integration. Briefings in Bioinformatics. 22(5). 52 indexed citations
8.
Li, Hao, Yoonhee Nam, Ran Huo, et al.. (2021). De Novo Germline and Somatic Variants Convergently Promote Endothelial-to-Mesenchymal Transition in Simplex Brain Arteriovenous Malformation. Circulation Research. 129(9). 825–839. 32 indexed citations
9.
Weng, Jiancong, Yingxi Yang, Song Dong, et al.. (2021). Somatic MAP3K3 mutation defines a subclass of cerebral cavernous malformation. The American Journal of Human Genetics. 108(5). 942–950. 55 indexed citations
10.
Yang, Yingxi, Quan Sun, Le Huang, et al.. (2021). eSCAN: scan regulatory regions for aggregate association testing using whole-genome sequencing data. Briefings in Bioinformatics. 23(1). 5 indexed citations
11.
Yang, Yingxi, et al.. (2019). A deep learning method to more accurately recall known lysine acetylation sites. BMC Bioinformatics. 20(1). 49–49. 46 indexed citations
12.
Fu, Hongli, Yingxi Yang, Xiaobo Wang, Hui Wang, & Yan Xu. (2019). DeepUbi: a deep learning framework for prediction of ubiquitination sites in proteins. BMC Bioinformatics. 20(1). 86–86. 57 indexed citations
13.
Xu, Yan, Xingyan Li, Yingxi Yang, Chunhui Li, & Xiaojian Shao. (2019). Human age prediction based on DNA methylation of non-blood tissues. Computer Methods and Programs in Biomedicine. 171. 11–18. 11 indexed citations
14.
Gao, Huijuan, et al.. (2019). A systematic review and meta-analysis on the efficacy and safety of traditional Chinese patent medicine Jinqi Jiangtang Tablet in the treatment of type 2 diabetes. Complementary Therapies in Medicine. 47. 102021–102021. 10 indexed citations
15.
Zhou, Huan, Bin Wang, Yingxi Yang, et al.. (2019). Exosomes in ischemic heart disease: novel carriers for bioinformation. Biomedicine & Pharmacotherapy. 120. 109451–109451. 24 indexed citations
16.
Yang, Yingxi, Huijuan Gao, Huan Zhou, et al.. (2019). The role of mitochondria-derived peptides in cardiovascular disease: Recent updates. Biomedicine & Pharmacotherapy. 117. 109075–109075. 62 indexed citations
17.
Jia, Qiujin, Lirong Wang, Xiaonan Zhang, et al.. (2019). Prevention and treatment of chronic heart failure through traditional Chinese medicine: Role of the gut microbiota. Pharmacological Research. 151. 104552–104552. 88 indexed citations
18.
Liu, Qi, Yingxi Yang, & Xiaonong Fan. (2019). Microvascular pericytes in brain-associated vascular disease. Biomedicine & Pharmacotherapy. 121. 109633–109633. 33 indexed citations
19.
Yang, Yingxi, Hui Wang, Jun Ding, & Yan Xu. (2018). iAcet-Sumo: Identification of lysine acetylation and sumoylation sites in proteins by multi-class transformation methods. Computers in Biology and Medicine. 100. 144–151. 7 indexed citations
20.
Lou, Lixia, Jingwei Zhou, Yujun Liu, et al.. (2016). Chlorogenic acid induces apoptosis to inhibit inflammatory proliferation of IL-6-induced fibroblast-like synoviocytes through modulating the activation of JAK/STAT and NF-κB signaling pathways. Experimental and Therapeutic Medicine. 11(5). 2054–2060. 66 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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