Bei Shi

1.8k total citations · 1 hit paper
66 papers, 1.2k citations indexed

About

Bei Shi is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Bei Shi has authored 66 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 20 papers in Surgery and 20 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Bei Shi's work include Coronary Interventions and Diagnostics (18 papers), Cardiac Imaging and Diagnostics (15 papers) and MicroRNA in disease regulation (11 papers). Bei Shi is often cited by papers focused on Coronary Interventions and Diagnostics (18 papers), Cardiac Imaging and Diagnostics (15 papers) and MicroRNA in disease regulation (11 papers). Bei Shi collaborates with scholars based in China, United States and Germany. Bei Shi's co-authors include Ranzun Zhao, Chaofu Li, Zhenglong Wang, Xianping Long, Yan Wang, Junbo Ge, Wenwen Deng, Weiwei Liu, Junbo Ge and Changyin Shen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Bei Shi

54 papers receiving 1.2k citations

Hit Papers

Hypoxia-induced signaling in the cardiovascular system: p... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bei Shi China 18 793 520 221 153 82 66 1.2k
Yuyan Xiong China 16 710 0.9× 390 0.8× 309 1.4× 222 1.5× 75 0.9× 28 1.1k
Ranzun Zhao China 14 653 0.8× 451 0.9× 173 0.8× 119 0.8× 49 0.6× 38 888
Raisa Serpi Finland 20 521 0.7× 319 0.6× 316 1.4× 180 1.2× 56 0.7× 47 1.1k
Claudio Iaconetti Italy 14 796 1.0× 581 1.1× 314 1.4× 304 2.0× 83 1.0× 19 1.2k
Peisen Huang China 15 611 0.8× 332 0.6× 280 1.3× 218 1.4× 41 0.5× 26 904
Zhen Fang China 15 559 0.7× 301 0.6× 139 0.6× 142 0.9× 170 2.1× 59 1.0k
Jie-Ning Zhu China 20 1.1k 1.4× 822 1.6× 355 1.6× 126 0.8× 61 0.7× 36 1.6k
Seema Dangwal Germany 18 684 0.9× 538 1.0× 172 0.8× 158 1.0× 79 1.0× 27 1.2k
Fu‐Xing‐Zi Li China 17 798 1.0× 433 0.8× 102 0.5× 80 0.5× 96 1.2× 32 1.2k
Qiao Liao China 14 709 0.9× 265 0.5× 256 1.2× 225 1.5× 56 0.7× 22 1.1k

Countries citing papers authored by Bei Shi

Since Specialization
Citations

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

Fields of papers citing papers by Bei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Bei Shi. A scholar is included among the top collaborators of Bei Shi 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 Bei Shi. Bei Shi 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.
Wang, Zhen, Fuhai Li, Shuai Yuan, et al.. (2025). Harnessing mRNA for heart health: a new era in cardiovascular treatment. Theranostics. 15(15). 7779–7801.
3.
Li, Chaozhong, et al.. (2024). Thin-cap fibroatheroma in acute coronary syndrome: Implication for intravascular imaging assessment. International Journal of Cardiology. 405. 131965–131965. 10 indexed citations
4.
Liu, Weiwei, et al.. (2024). HMGB1 May Modulates Proliferation and Migration of Endothelial Cells by YAP1 under Hypoxia. Biology Bulletin. 51(2). 233–242.
5.
Deng, Yi, et al.. (2024). Non-target lesion progression: Unveiling critical predictors and outcomes in patients with in-stent restenosis. International Journal of Cardiology. 416. 132451–132451. 3 indexed citations
6.
Wang, Xi, Changyin Shen, Yizhen Deng, et al.. (2024). Association between periprocedural myocardial injury and neointimal characteristics in patients with in-stent restenosis: an optical coherence tomography study. Cardiovascular Diagnosis and Therapy. 14(1). 5–17. 1 indexed citations
7.
Shi, Bei, Xianglin Yuan, Hao Zheng, et al.. (2024). Data classification and parameter estimations with deep learning to the simulated time-domain high-frequency gravitational waves detections. New Journal of Physics. 26(5). 53015–53015.
8.
Wang, Xi, et al.. (2024). Morphological characteristics of in-stent restenosis with different degrees of area stenosis: an optical coherence tomography study. The International Journal of Cardiovascular Imaging. 40(4). 699–708.
9.
Zhao, Yongchao, Weidong Xiong, Chaofu Li, et al.. (2023). Hypoxia-induced signaling in the cardiovascular system: pathogenesis and therapeutic targets. Signal Transduction and Targeted Therapy. 8(1). 431–431. 124 indexed citations breakdown →
10.
11.
Li, Chaofu, Yongchao Zhao, Fuhai Li, et al.. (2023). Semaphorin3A Exacerbates Cardiac Microvascular Rarefaction in Pressure Overload‐Induced Heart Disease. Advanced Science. 10(21). e2206801–e2206801. 6 indexed citations
12.
Wang, Yan, Chaofu Li, Ranzun Zhao, et al.. (2021). CircUbe3a from M2 macrophage-derived small extracellular vesicles mediates myocardial fibrosis after acute myocardial infarction. Theranostics. 11(13). 6315–6333. 107 indexed citations
13.
Zhao, Yongchao, Zhiqiang Pei, Fuhai Li, et al.. (2021). m7G Methyltransferase METTL1 Promotes Post-ischemic Angiogenesis via Promoting VEGFA mRNA Translation. Frontiers in Cell and Developmental Biology. 9. 642080–642080. 64 indexed citations
14.
Wang, Yan, Chaofu Li, Ranzun Zhao, et al.. (2021). Hypoxia-reoxygenation induces macrophage polarization and causes the release of exosomal miR-29a to mediate cardiomyocyte pyroptosis. In Vitro Cellular & Developmental Biology - Animal. 57(1). 30–41. 26 indexed citations
16.
He, Fang, et al.. (2020). Construction of calcitonin gene-related peptide-modified mesenchymal stem cells and analysis of their effects on the migration and proliferation of vascular smooth muscle cells. In Vitro Cellular & Developmental Biology - Animal. 56(2). 181–191. 3 indexed citations
17.
Wang, Yan, Wenwen Deng, & Bei Shi. (2018). GW29-e1433 Exosomes derived from miR-214-enriched bone marrow-derived mesenchymal stem cells regulate oxidative damage in cardiac stem cells by targeting CaMKII. Journal of the American College of Cardiology. 72(16). C94–C94. 1 indexed citations
18.
Deng, Wenwen, Ling Li, & Bei Shi. (2018). BONE MARROW DERIVED MESENCHYMAL STEM CELL-DERIVED EXSOMES PROMOTE THE PROLIFERATION OF CARDIAC STEM CELL THROUGH EXOSOMAL MIR-150 BY TARGETING SRCIN1. Journal of the American College of Cardiology. 71(11). A81–A81. 2 indexed citations
19.
Wang, Yan, Ranzun Zhao, Debin Liu, et al.. (2018). Exosomes Derived from miR‐214‐Enriched Bone Marrow‐Derived Mesenchymal Stem Cells Regulate Oxidative Damage in Cardiac Stem Cells by Targeting CaMKII. Oxidative Medicine and Cellular Longevity. 2018(1). 4971261–4971261. 87 indexed citations
20.
Shi, Bei. (2010). Effect of compound Danshen drop pill on hemorheology after PCI in patients with coronary heart disease. Zhongguo xin yao zazhi. 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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