Beilei Gao

560 total citations
9 papers, 452 citations indexed

About

Beilei Gao is a scholar working on Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Beilei Gao has authored 9 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Beilei Gao's work include Autophagy in Disease and Therapy (4 papers), Cardiac Fibrosis and Remodeling (2 papers) and Cardiovascular Function and Risk Factors (2 papers). Beilei Gao is often cited by papers focused on Autophagy in Disease and Therapy (4 papers), Cardiac Fibrosis and Remodeling (2 papers) and Cardiovascular Function and Risk Factors (2 papers). Beilei Gao collaborates with scholars based in China. Beilei Gao's co-authors include Congye Li, Yingmei Zhang, Wenjun Yu, Guoyong Zhang, Na Li, Gang Ji, Jiaxing Wang, Rongqing Zhang, Min Liu and Dong Han and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Remote Sensing.

In The Last Decade

Beilei Gao

8 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Beilei Gao China	8	208	177	94	90	66	9	452
Wen‐Wu Bai China	14	254 1.2×	144 0.8×	78 0.8×	158 1.8×	61 0.9×	23	570
Fuqin Tang China	11	208 1.0×	114 0.6×	68 0.7×	82 0.9×	60 0.9×	22	424
Xianhe Lin China	10	230 1.1×	228 1.3×	59 0.6×	97 1.1×	42 0.6×	15	521
Chenglin Huang China	14	285 1.4×	207 1.2×	134 1.4×	86 1.0×	138 2.1×	21	614
Yuanna Ling China	9	214 1.0×	154 0.9×	48 0.5×	57 0.6×	30 0.5×	12	423
Mingjie Yang China	11	269 1.3×	153 0.9×	32 0.3×	86 1.0×	58 0.9×	21	518
Weiwei Tian China	11	228 1.1×	165 0.9×	144 1.5×	27 0.3×	102 1.5×	33	564
Shujian Wei China	13	204 1.0×	128 0.7×	39 0.4×	103 1.1×	63 1.0×	28	493
Remo D. Spescha Switzerland	9	126 0.6×	70 0.4×	102 1.1×	63 0.7×	132 2.0×	11	404
Dajun Zhao China	8	193 0.9×	155 0.9×	34 0.4×	143 1.6×	98 1.5×	15	493

Countries citing papers authored by Beilei Gao

Since Specialization

Citations

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

Fields of papers citing papers by Beilei Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beilei Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Beilei Gao. A scholar is included among the top collaborators of Beilei Gao 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 Beilei Gao. Beilei Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Gao, Beilei, et al.. (2024). Disentangling the Roles of Climate Variables in Forest Fire Occurrences in China. Remote Sensing. 17(1). 88–88.

Zhu, Jianbing, Qian Wang, Zeqi Zheng, et al.. (2024). MiR-181a protects the heart against myocardial infarction by regulating mitochondrial fission via targeting programmed cell death protein 4. Scientific Reports. 14(1). 6638–6638. 10 indexed citations

Gao, Beilei, Wenjun Yu, Ping Lv, et al.. (2020). Parkin overexpression alleviates cardiac aging through facilitating K63-polyubiquitination of TBK1 to facilitate mitophagy. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1867(1). 165997–165997. 38 indexed citations

Li, Xiang, Weidong Yang, Wenhui Ma, et al.. (2020). 18F-FDG PET imaging-monitored anti-inflammatory therapy for acute myocardial infarction: Exploring the role of MCC950 in murine model. Journal of Nuclear Cardiology. 28(5). 2346–2357. 13 indexed citations

Yu, Wenjun, Beilei Gao, Na Li, et al.. (2016). Sirt3 deficiency exacerbates diabetic cardiac dysfunction: Role of Foxo3A-Parkin-mediated mitophagy. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(8). 1973–1983. 219 indexed citations

Wang, Tingting, Lei Zhang, Jianqiang Hu, et al.. (2016). Mst1 participates in the atherosclerosis progression through macrophage autophagy inhibition and macrophage apoptosis enhancement. Journal of Molecular and Cellular Cardiology. 98. 108–116. 47 indexed citations

Chen, Lin, Mingming Zhang, Yingmei Zhang, et al.. (2016). Helix B surface peptide attenuates diabetic cardiomyopathy via AMPK-dependent autophagy. Biochemical and Biophysical Research Communications. 482(4). 665–671. 40 indexed citations

Han, Dong, Zuhong Tian, Beilei Gao, et al.. (2016). Activation of Cannabinoid Receptor Type II by AM1241 Ameliorates Myocardial Fibrosis via Nrf2-Mediated Inhibition of TGF-β1/Smad3 Pathway in Myocardial Infarction Mice. Cellular Physiology and Biochemistry. 39(4). 1521–1536. 74 indexed citations

Wang, Jiaxing, Qijun Zheng, Nan Hu, et al.. (2015). Cardiac-Specific Knockout of ETA Receptor Mitigates Paraquat-Induced Cardiac Contractile Dysfunction. Cardiovascular Toxicology. 16(3). 235–243. 11 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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