Rui Yan

1.3k total citations · 1 hit paper
53 papers, 875 citations indexed

About

Rui Yan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Rui Yan has authored 53 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Cardiology and Cardiovascular Medicine and 7 papers in Cancer Research. Recurrent topics in Rui Yan's work include Cardiac Imaging and Diagnostics (5 papers), Cardiovascular Function and Risk Factors (5 papers) and Viral Infections and Immunology Research (4 papers). Rui Yan is often cited by papers focused on Cardiac Imaging and Diagnostics (5 papers), Cardiovascular Function and Risk Factors (5 papers) and Viral Infections and Immunology Research (4 papers). Rui Yan collaborates with scholars based in China, United States and Austria. Rui Yan's co-authors include Min Guo, Meng Sun, Zheng Xue, Hongmei Yao, Jin Wei, Shan Hu, Lei Xing, Yuyin Zhou, Daniel L. Rubin and Liangqiong Qu and has published in prestigious journals such as Nature Materials, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Rui Yan

46 papers receiving 863 citations

Hit Papers

Label-Efficient Self-Supervised Federated Learning for Ta... 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
    2023 89 citations Rui Yan, Qingyue Wei et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rui Yan China 18 380 153 122 98 63 53 875
Fanbo Meng China 19 238 0.6× 85 0.6× 143 1.2× 59 0.6× 66 1.0× 70 914
Jun Jie Tan Malaysia 22 784 2.1× 127 0.8× 62 0.5× 75 0.8× 46 0.7× 87 1.5k
Yu Yan China 10 252 0.7× 118 0.8× 44 0.4× 68 0.7× 55 0.9× 30 543
Ji‐Ye Kim South Korea 16 275 0.7× 160 1.0× 41 0.3× 109 1.1× 71 1.1× 46 1.0k
Peipei Ping United States 10 445 1.2× 64 0.4× 57 0.5× 66 0.7× 31 0.5× 23 759
Hiroki Kobayashi Japan 21 387 1.0× 61 0.4× 116 1.0× 51 0.5× 55 0.9× 100 1.2k
Xiaohui Huang China 15 292 0.8× 87 0.6× 117 1.0× 38 0.4× 54 0.9× 36 698
Yajie Liu China 18 217 0.6× 66 0.4× 105 0.9× 81 0.8× 42 0.7× 75 1.1k
Wenjie Cai China 16 277 0.7× 60 0.4× 198 1.6× 29 0.3× 68 1.1× 52 1.1k
Hongyan Cao China 19 480 1.3× 136 0.9× 80 0.7× 33 0.3× 39 0.6× 81 1.1k

Countries citing papers authored by Rui Yan

Since Specialization
Citations

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

Fields of papers citing papers by Rui Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Yan. A scholar is included among the top collaborators of Rui 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 Rui Yan. Rui 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.
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Liu, Junyan, Ruogu Fang, Qingyue Wei, et al.. (2025). Revealing neurocognitive and behavioral patterns through unsupervised manifold learning of dynamic brain data. Nature Computational Science. 5(12). 1238–1252.
3.
Wang, Rujin, Yuanjie Wei, Yuanhui Zhu, et al.. (2025). Impacts of arsenic exposure through drinking water on pigment disorders: A meta-analysis and a Bayesian benchmark concentration analysis. Journal of Trace Elements in Medicine and Biology. 92. 127744–127744.
4.
Pan, Mingming, Min Gao, Yan Xu, et al.. (2025). Efficacy and safety of HSK21542 for pruritus management in hemodialysis patients: a multicenter, randomized, double-blind, placebo-controlled trial. Frontiers in Pharmacology. 16. 1583515–1583515.
5.
Yan, Rui, et al.. (2024). Vitamin C and suicidal ideation: A cross-sectional and Mendelian randomization study. Journal of Affective Disorders. 368. 528–536. 2 indexed citations
6.
Fan, Yuhan, et al.. (2024). Design of a prismatic CERMET megawatt gas-cooled reactor(PC-MGCR) for deep space exploration. Annals of Nuclear Energy. 211. 110946–110946.
7.
Yuan, Jing, Rui Yan, Xueqiong Zhang, et al.. (2024). Soil organic phosphorus is mainly hydrolyzed via phosphatases from ectomycorrhiza-associated bacteria rather than ectomycorrhizal fungi. Plant and Soil. 504(1-2). 659–678. 10 indexed citations
8.
Guo, Linghong, et al.. (2024). Innovation and evaluation of vocational pharmaceutical education system under the 1 + X certificate system in China. Currents in Pharmacy Teaching and Learning. 16(7). 102090–102090.
9.
Yan, Rui, Md Tauhidul Islam, & Lei Xing. (2024). Deep representation learning of protein-protein interaction networks for enhanced pattern discovery. Science Advances. 10(51). eadq4324–eadq4324. 5 indexed citations
10.
Li, Zewen, et al.. (2024). N6-methyladenosine in inflammatory diseases: Important actors and regulatory targets. Gene. 936. 149125–149125. 5 indexed citations
11.
12.
Pan, Mingming, Li Zhou, Yan Xu, et al.. (2023). Safety and effectiveness of HSK21542 for hemodialysis patients: a multiple ascending dose study. Frontiers in Pharmacology. 14. 1203642–1203642. 5 indexed citations
13.
Li, Xiao, et al.. (2022). Pyroptosis in neurodegenerative diseases: What lies beneath the tip of the iceberg?. International Reviews of Immunology. 42(4). 258–273. 5 indexed citations
14.
Deng, Haitao, Hongbo Zhao, Norman Jin, et al.. (2022). Correlative image learning of chemo-mechanics in phase-transforming solids. Nature Materials. 21(5). 547–554. 43 indexed citations
15.
16.
Hu, Wenpeng, Bing Liu, Jinwen Ma, Dongyan Zhao, & Rui Yan. (2018). Aspect-based Question Generation. International Conference on Learning Representations. 11 indexed citations
17.
Wei, Jin, Rui Yan, Xin Liu, et al.. (2016). Rosmarinic Acid suppressed high glucose-induced apoptosis in H9c2 cells by ameliorating the mitochondrial function and activating STAT3. Biochemical and Biophysical Research Communications. 477(4). 1024–1030. 20 indexed citations
18.
Song, Jianbo, Rui Yan, Jianguo Li, et al.. (2016). 13N-Ammonia PET/CT Detection of Myocardial Perfusion Abnormalities in Beagle Dogs After Local Heart Irradiation. Journal of Nuclear Medicine. 58(4). 605–610. 15 indexed citations
19.
20.
Zhang, Ming, Jin Wei, Shan Hu, et al.. (2013). Calreticulin-STAT3 Signaling Pathway Modulates Mitochondrial Function in a Rat Model of Furazolidone-Induced Dilated Cardiomyopathy. PLoS ONE. 8(6). e66779–e66779. 19 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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