Jun‐Yi Luo

523 total citations
40 papers, 343 citations indexed

About

Jun‐Yi Luo is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Jun‐Yi Luo has authored 40 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Cardiology and Cardiovascular Medicine and 11 papers in Cancer Research. Recurrent topics in Jun‐Yi Luo's work include Lipoproteins and Cardiovascular Health (6 papers), Nuclear Receptors and Signaling (5 papers) and Lipid metabolism and disorders (4 papers). Jun‐Yi Luo is often cited by papers focused on Lipoproteins and Cardiovascular Health (6 papers), Nuclear Receptors and Signaling (5 papers) and Lipid metabolism and disorders (4 papers). Jun‐Yi Luo collaborates with scholars based in China, United Kingdom and United States. Jun‐Yi Luo's co-authors include Yi‐Ning Yang, Fen Liu, Xiao‐Mei Li, Ting Tian, Bang‐Dang Chen, Yi-Tong Ma, Fen Liu, Tong Zhang, Fen Liu and Binbin Fang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Jun‐Yi Luo

36 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun‐Yi Luo China 11 79 74 66 64 63 40 343
Xiao-Fan Hu China 10 35 0.4× 66 0.9× 59 0.9× 35 0.5× 202 3.2× 14 401
Myoung Ju Koh South Korea 9 54 0.7× 59 0.8× 54 0.8× 38 0.6× 78 1.2× 14 412
Christel H. Kamani Switzerland 10 84 1.1× 82 1.1× 27 0.4× 20 0.3× 110 1.7× 24 328
Jeng‐Yueh Hsiao Taiwan 14 46 0.6× 83 1.1× 193 2.9× 41 0.6× 85 1.3× 18 372
Canan Ersoy Türkiye 10 37 0.5× 60 0.8× 106 1.6× 17 0.3× 101 1.6× 30 332
Jieyu He China 9 54 0.7× 55 0.7× 23 0.3× 15 0.2× 110 1.7× 20 438
Shuiming Guo China 12 18 0.2× 39 0.5× 47 0.7× 31 0.5× 86 1.4× 19 384
Wenhua Xing China 10 75 0.9× 45 0.6× 77 1.2× 18 0.3× 66 1.0× 27 308
Margit Tökés‐Füzesi Hungary 13 245 3.1× 146 2.0× 34 0.5× 43 0.7× 121 1.9× 26 498
Claire K. Mulvey United States 11 63 0.8× 65 0.9× 53 0.8× 8 0.1× 52 0.8× 24 354

Countries citing papers authored by Jun‐Yi Luo

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Yi Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Yi Luo. 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 Jun‐Yi Luo. The network helps show where Jun‐Yi Luo may publish in the future.

Co-authorship network of co-authors of Jun‐Yi Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Yi Luo. A scholar is included among the top collaborators of Jun‐Yi Luo 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 Jun‐Yi Luo. Jun‐Yi Luo 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.
Li, Shan, Tao Mi, Liming Jin, et al.. (2024). Integrative analysis with machine learning identifies diagnostic and prognostic signatures in neuroblastoma based on differentially DNA methylated enhancers between INSS stage 4 and 4S neuroblastoma. Journal of Cancer Research and Clinical Oncology. 150(3). 148–148. 2 indexed citations
3.
Wang, Chenlu, et al.. (2024). A 2.0–3.0 GHz GaN HEMT-Based High-Efficiency Rectifier Using Class-EFJ Operating Mode. Electronics. 13(14). 2786–2786. 3 indexed citations
4.
Luo, Jun‐Yi, et al.. (2024). Targeting lncRNA MALAT1: A Promising Approach to Overcome Metabolic Syndrome. International Journal of Endocrinology. 2024(1). 2 indexed citations
5.
6.
Luo, Jun‐Yi, et al.. (2024). Design of a broadband high-efficiency power amplifier based on continuous class-EF mode. IEICE Electronics Express. 21(6). 20240044–20240044.
7.
Luo, Jun‐Yi, Guoli Du, Fen Liu, et al.. (2023). AT1R gene rs389566 polymorphism contributes to MACCEs in hypertension patients. BMC Cardiovascular Disorders. 23(1). 284–284. 1 indexed citations
8.
Luo, Jun‐Yi, Fen Liu, Fan Luo, et al.. (2023). Prognostic value of fibrinogen-to-albumin ratio combined with coronary calcification score in patients with suspected coronary artery disease. BMC Cardiovascular Disorders. 23(1). 181–181. 6 indexed citations
9.
Luo, Jun‐Yi, Binbin Fang, Ting Tian, et al.. (2022). NFKB1 Gene Mutant Was Associated with Prognosis of Coronary Artery Disease and Exacerbated Endothelial Mitochondrial Fission and Dysfunction. Oxidative Medicine and Cellular Longevity. 2022(1). 9494926–9494926. 8 indexed citations
10.
Zhang, Jinyu, Qian Zhao, Fen Liu, et al.. (2022). Genetic Variation of Migration Inhibitory Factor Gene rs2070766 Is Associated With Acute Coronary Syndromes in Chinese Population. Frontiers in Genetics. 12. 750975–750975. 5 indexed citations
11.
Yu, Fei, Fen Liu, Xiao‐Mei Li, et al.. (2022). GLUT4 gene rs5418 polymorphism is associated with increased coronary heart disease risk in a Uygur Chinese population. BMC Cardiovascular Disorders. 22(1). 191–191. 3 indexed citations
12.
13.
Luo, Jun‐Yi, Duolao Wang, Yanhong Li, et al.. (2020). MIF gene rs755622 polymorphism positively associated with acute coronary syndrome in Chinese Han population: case–control study. Scientific Reports. 10(1). 140–140. 12 indexed citations
14.
Liu, Fen, Ying-Hong Wang, Qian Zhao, et al.. (2018). LDL-C:HDL-C ratio and common carotid plaque in Xinjiang Uygur obese adults: a cross-sectional study. BMJ Open. 8(10). e022757–e022757. 12 indexed citations
15.
Luo, Jun‐Yi, Xiao‐Mei Li, Yun Zhou, et al.. (2017). Mutant DD genotype of NFKB1 gene is associated with the susceptibility and severity of coronary artery disease. Journal of Molecular and Cellular Cardiology. 103. 56–64. 10 indexed citations
16.
Luo, Jun‐Yi, Rui‐Hua Xu, Xiaomei Li, et al.. (2016). MIF Gene Polymorphism rs755622 Is Associated With Coronary Artery Disease and Severity of Coronary Lesions in a Chinese Kazakh Population. Medicine. 95(4). e2617–e2617. 17 indexed citations
17.
Li, Xia, Jun‐Yi Luo, Lei Zhang, et al.. (2015). Variant of PAI-2 gene is associated with coronary artery disease and recurrent coronary event risk in Chinese Han population. Lipids in Health and Disease. 14(1). 148–148. 7 indexed citations
18.
Luo, Jun‐Yi, Zhen-Yan Fu, Yun Zhou, et al.. (2015). Flotillin-2 Gene Is Associated with Coronary Artery Disease in Chinese Han Population. Genetic Testing and Molecular Biomarkers. 19(12). 679–683. 1 indexed citations
19.
Luo, Jun‐Yi, Xiang Xie, Yining Yang, et al.. (2014). Association of intercellular adhesion molecule-1 gene polymorphism with coronary heart disease. Molecular Medicine Reports. 10(3). 1343–1348. 11 indexed citations
20.
Luo, Jun‐Yi, Yi-Tong Ma, Xiang Xie, et al.. (2013). [Association between intercellular adhesion molecule-1 K469E polymorphism and coronary heart disease in people with Uygur ethnicity, in Xinjiang].. PubMed. 34(10). 1018–22. 1 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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