Huairui Shi

908 total citations · 1 hit paper
19 papers, 725 citations indexed

About

Huairui Shi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Huairui Shi has authored 19 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 6 papers in Epidemiology. Recurrent topics in Huairui Shi's work include Atherosclerosis and Cardiovascular Diseases (6 papers), Inflammasome and immune disorders (5 papers) and Cardiac Fibrosis and Remodeling (5 papers). Huairui Shi is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (6 papers), Inflammasome and immune disorders (5 papers) and Cardiac Fibrosis and Remodeling (5 papers). Huairui Shi collaborates with scholars based in China, United States and South Korea. Huairui Shi's co-authors include Yang Gao, Rifeng Gao, Xiao Li, Junbo Ge, Aijun Sun, Zhen Dong, Xiaolei Sun, Jie Yang, Feng Zhang and Kai Hu and has published in prestigious journals such as Circulation Research, Scientific Reports and The FASEB Journal.

In The Last Decade

Huairui Shi

19 papers receiving 722 citations

Hit Papers

GSDMD-Mediated Cardiomyocyte Pyroptosis Promotes Myocardi... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huairui Shi China 13 442 202 180 109 96 19 725
Harsha Kannan United States 3 383 0.9× 259 1.3× 107 0.6× 127 1.2× 31 0.3× 5 603
Bingqing Deng China 15 306 0.7× 156 0.8× 57 0.3× 91 0.8× 68 0.7× 42 642
Naifeng Liu China 18 377 0.9× 172 0.9× 85 0.5× 135 1.2× 37 0.4× 51 878
Yo Koyama Japan 17 251 0.6× 499 2.5× 218 1.2× 96 0.9× 106 1.1× 22 997
Baochen Bai China 6 401 0.9× 140 0.7× 117 0.7× 46 0.4× 38 0.4× 7 623
Stefan Seibold Germany 13 252 0.6× 103 0.5× 113 0.6× 81 0.7× 61 0.6× 17 632
Jingti Deng China 16 434 1.0× 98 0.5× 103 0.6× 82 0.8× 58 0.6× 31 767
Haibao Shang China 7 503 1.1× 182 0.9× 106 0.6× 51 0.5× 22 0.2× 12 754
Samuel Mon-Wei Yu United States 15 357 0.8× 86 0.4× 186 1.0× 172 1.6× 210 2.2× 34 830

Countries citing papers authored by Huairui Shi

Since Specialization
Citations

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

Fields of papers citing papers by Huairui Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huairui Shi

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

All Works

19 of 19 papers shown
1.
Wang, Yiwen, Yang Gao, Huairui Shi, et al.. (2024). CCL11 released by GSDMD-mediated macrophage pyroptosis regulates angiogenesis after hindlimb ischemia. Cell Death Discovery. 10(1). 294–294. 2 indexed citations
2.
Huang, Qingyu, Jian Li, Yiming Wang, et al.. (2024). IL-37 ameliorates myocardial fibrosis by regulating mtDNA-enriched vesicle release in diabetic cardiomyopathy mice. Journal of Translational Medicine. 22(1). 494–494. 12 indexed citations
3.
Zhang, Meng, Rende Xu, Runda Wu, et al.. (2023). Soluble interleukin-2 receptor predicts acute kidney injury and in-hospital mortality in patients with acute myocardial infarction. International Journal of Cardiology. 388. 131156–131156. 2 indexed citations
4.
Qu, Yanan, Rifeng Gao, Wei Xiang, et al.. (2022). Gasdermin D mediates endoplasmic reticulum stress via FAM134B to regulate cardiomyocyte autophagy and apoptosis in doxorubicin-induced cardiotoxicity. Cell Death and Disease. 13(10). 901–901. 43 indexed citations
5.
Wu, Jian, Jifu Jin, Huairui Shi, et al.. (2022). Aldehyde Dehydrogenase 2 (ALDH2) Elicits Protection against Pulmonary Hypertension via Inhibition of ERK1/2‐Mediated Autophagy. Oxidative Medicine and Cellular Longevity. 2022(1). 2555476–2555476. 15 indexed citations
6.
Gao, Yang, Huairui Shi, Zhen Dong, et al.. (2022). Current knowledge of pyroptosis in heart diseases. Journal of Molecular and Cellular Cardiology. 171. 81–89. 25 indexed citations
7.
Shi, Huairui, Yang Gao, Zhen Dong, et al.. (2021). GSDMD-Mediated Cardiomyocyte Pyroptosis Promotes Myocardial I/R Injury. Circulation Research. 129(3). 383–396. 244 indexed citations breakdown →
8.
Weng, Xinyu, Huairui Shi, Rifeng Gao, et al.. (2019). Acetaldehyde dehydrogenase 2 deficiency exacerbates cardiac fibrosis by promoting mobilization and homing of bone marrow fibroblast progenitor cells. Journal of Molecular and Cellular Cardiology. 137. 107–118. 9 indexed citations
9.
Gao, Rifeng, Huairui Shi, Yang Gao, et al.. (2019). The selective NLRP3-inflammasome inhibitor MCC950 reduces myocardial fibrosis and improves cardiac remodeling in a mouse model of myocardial infarction. International Immunopharmacology. 74. 105575–105575. 152 indexed citations
10.
Wang, Zeng, Huairui Shi, Huan Zhao, et al.. (2019). Naoxintong Retards Atherosclerosis by Inhibiting Foam Cell Formation Through Activating Pparα Pathway. Current Molecular Medicine. 18(10). 698–710. 15 indexed citations
12.
Shi, Huairui, et al.. (2017). Metabolites of Hypoxic Cardiomyocytes Induce the Migration of Cardiac Fibroblasts. Cellular Physiology and Biochemistry. 41(1). 413–421. 19 indexed citations
13.
Wei, Yuzhen, Kunwu Yu, Hui Wei, et al.. (2017). CD4+ CD25+ GARP+ regulatory T cells display a compromised suppressive function in patients with dilated cardiomyopathy. Immunology. 151(3). 291–303. 16 indexed citations
14.
Shi, Huairui, Xiaobo Mao, Yucheng Zhong, et al.. (2016). Digoxin reduces atherosclerosis in apolipoprotein E‐deficient mice. British Journal of Pharmacology. 173(9). 1517–1528. 42 indexed citations
15.
Zhu, Ruirui, Kunwu Yu, Yucheng Zhong, et al.. (2016). Interleukin‐37 and Dendritic Cells Treated With Interleukin‐37 Plus Troponin I Ameliorate Cardiac Remodeling After Myocardial Infarction. Journal of the American Heart Association. 5(12). 46 indexed citations
16.
Shi, Huairui, Xiaobo Mao, Yucheng Zhong, et al.. (2016). Lanatoside C Promotes Foam Cell Formation and Atherosclerosis. Scientific Reports. 6(1). 20154–20154. 17 indexed citations
17.
Liu, Yuzhou, Xiaoqi Zhao, Yucheng Zhong, et al.. (2015). Heme Oxygenase-1 Restores Impaired GARP+CD4+CD25+ Regulatory T Cells from Patients with Acute Coronary Syndrome by Upregulating LAP and GARP Expression on Activated T Lymphocytes. Cellular Physiology and Biochemistry. 35(2). 553–570. 11 indexed citations
18.
Zhao, Xiaoqi, Yuzhou Liu, Bo Liu, et al.. (2015). Atorvastatin Improves Inflammatory Response in Atherosclerosis by Upregulating the Expression of GARP. Mediators of Inflammation. 2015(1). 841472–841472. 11 indexed citations
19.

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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