Haiming Shi

2.4k total citations
101 papers, 1.9k citations indexed

About

Haiming Shi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Haiming Shi has authored 101 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 43 papers in Cardiology and Cardiovascular Medicine and 20 papers in Surgery. Recurrent topics in Haiming Shi's work include Natural product bioactivities and synthesis (13 papers), Lipoproteins and Cardiovascular Health (11 papers) and Antiplatelet Therapy and Cardiovascular Diseases (10 papers). Haiming Shi is often cited by papers focused on Natural product bioactivities and synthesis (13 papers), Lipoproteins and Cardiovascular Health (11 papers) and Antiplatelet Therapy and Cardiovascular Diseases (10 papers). Haiming Shi collaborates with scholars based in China, United States and Spain. Haiming Shi's co-authors include Liangli Yu, Bo Jin, Xinping Luo, Liangli Yu, Junjie Pan, Thomas T. Y. Wang, Haiqiu Huang, Qiying Chen, Xiufang Gao and Zhihong Cheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Circulation Research.

In The Last Decade

Haiming Shi

99 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiming Shi China 24 966 468 222 175 173 101 1.9k
Dongye Li China 29 800 0.8× 611 1.3× 196 0.9× 140 0.8× 213 1.2× 103 2.2k
Vijaya Padma Viswanadha India 27 1.1k 1.1× 289 0.6× 309 1.4× 147 0.8× 153 0.9× 95 2.2k
Marthandam Asokan Shibu Taiwan 24 957 1.0× 220 0.5× 246 1.1× 182 1.0× 124 0.7× 98 1.9k
Dayun Sui China 25 1.2k 1.2× 188 0.4× 216 1.0× 152 0.9× 90 0.5× 96 1.8k
Eugenia Mata‐Greenwood United States 22 710 0.7× 248 0.5× 132 0.6× 253 1.4× 106 0.6× 44 1.9k
Cecilia Hsuan Day Taiwan 24 786 0.8× 165 0.4× 183 0.8× 98 0.6× 138 0.8× 75 1.7k
Zheng Yang China 28 814 0.8× 659 1.4× 163 0.7× 115 0.7× 128 0.7× 51 1.7k
Mei-Lin Xie China 25 725 0.8× 151 0.3× 206 0.9× 290 1.7× 123 0.7× 93 1.8k
Zhou‐Yan Bian China 31 1.1k 1.2× 739 1.6× 258 1.2× 163 0.9× 144 0.8× 63 2.2k
Xufeng Tao China 29 1.3k 1.3× 354 0.8× 346 1.6× 202 1.2× 342 2.0× 66 2.7k

Countries citing papers authored by Haiming Shi

Since Specialization
Citations

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

Fields of papers citing papers by Haiming Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiming Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Haiming Shi. A scholar is included among the top collaborators of Haiming 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 Haiming Shi. Haiming 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.
Hong, Jin Tae, Haoxuan Zhong, Yikai Zhao, et al.. (2023). IL-37 Attenuates Platelet Activation and Thrombosis Through IL-1R8 Pathway. Circulation Research. 132(9). e134–e150. 18 indexed citations
2.
Wang, Yiming, Jinjin Zhang, Bangwei Wu, et al.. (2022). IL-37 improves mice myocardial infarction via inhibiting YAP-NLRP3 signaling mediated macrophage programming. European Journal of Pharmacology. 934. 175293–175293. 15 indexed citations
3.
Xie, Kun, Xiufang Gao, Liwen Bao, et al.. (2021). The Integrated Management of Hypertension in General Hospitals and Community Hospitals. Risk Management and Healthcare Policy. Volume 14. 2537–2545. 1 indexed citations
4.
Ou, Yang, Haiming Shi, Jianfeng Luo, et al.. (2020). Myocardial damage associated with elective percutaneous coronary intervention in Chinese patients: a retrospective study. Journal of International Medical Research. 48(3). 1220707335–1220707335. 3 indexed citations
5.
Zhang, Hongqi, Liang Hu, Haiming Shi, et al.. (2020). Pravastatin attenuates atherosclerosis after myocardial infarction by inhibiting inflammatory Ly6Chigh monocytosis in apolipoprotein E knockout mice. Journal of International Medical Research. 48(7). 1220732368–1220732368. 6 indexed citations
6.
Xie, Kun, Bangwei Wu, Zhiyong Qi, et al.. (2020). A stricter control of low-density lipoprotein is necessary for thrombosis reduction in “lower thrombosis risk” patients with atrial fibrillation: a multicenter retrospective cohort study. Journal of Thrombosis and Thrombolysis. 50(4). 849–857. 4 indexed citations
8.
Zhuang, Xinyu, et al.. (2017). Salidroside inhibits high-glucose induced proliferation of vascular smooth muscle cells via inhibiting mitochondrial fission and oxidative stress. Experimental and Therapeutic Medicine. 14(1). 515–524. 35 indexed citations
9.
Hong, Jin, Junjie Pan, Jian Li, et al.. (2017). Role of Rab5 in the formation of macrophage-derived foam cell. Lipids in Health and Disease. 16(1). 170–170. 9 indexed citations
10.
Gong, Hui, et al.. (2016). Correlation between brain natriuretic peptide levels and the prognosis of patients with left ventricular diastolic dysfunction. Experimental and Therapeutic Medicine. 11(6). 2583–2589. 4 indexed citations
11.
Ma, Ye, Jie Liu, Haiming Shi, & Liangli Yu. (2016). Isolation and characterization of anti-inflammatory peptides derived from whey protein. Journal of Dairy Science. 99(9). 6902–6912. 83 indexed citations
12.
13.
Yan, Ping, Xiangzhu Zhu, Haiming Li, et al.. (2012). Association of High Blood Pressure with Renal Insufficiency: Role of Albuminuria, from NHANES, 1999–2006. PLoS ONE. 7(7). e37837–e37837. 19 indexed citations
14.
Li, Jian, et al.. (2011). The role of von Willebrand factor and ADAMTS13 in the no-reflow phenomenon: after primary percutaneous coronary intervention.. PubMed. 38(5). 516–22. 14 indexed citations
15.
Zhou, Jingmin, et al.. (2010). Rationale and Design of the β-Blocker in Heart Failure with Normal Left Ventricular Ejection Fraction (β-PRESERVE) Study. European Journal of Heart Failure. 12(2). 181–185. 29 indexed citations
16.
Zhu, Wen, Tao Sun, Haiming Shi, et al.. (2010). Combined Effects of Glycated Hemoglobin A1c and Blood Pressure on Carotid Artery Atherosclerosis in Nondiabetic Patients. Clinical Cardiology. 33(9). 542–547. 5 indexed citations
17.
Jin, Bo, et al.. (2010). Cytochrome P450 2C19 polymorphism is associated with poor clinical outcomes in coronary artery disease patients treated with clopidogrel. Molecular Biology Reports. 38(3). 1697–1702. 41 indexed citations
18.
Jin, Bo, Xinping Luo, Haihong Lin, Jian Li, & Haiming Shi. (2009). A Meta-Analysis of Erythropoiesis-Stimulating Agents in Anaemic Patients with Chronic Heart Failure. European Journal of Heart Failure. 12(3). 249–253. 16 indexed citations
19.
Sun, Tao, Yanbo Huang, M. Ian Phillips, et al.. (2009). Growth Differentiation Factor 15 and Coronary Collateral Formation. Clinical Cardiology. 33(1). E1–5. 8 indexed citations
20.
Dong, Xuehong, Linuo Zhou, Bin Lü, et al.. (2007). Impaired fasting glucose and the prevalence and severity of angiographic coronary artery disease in high-risk Chinese patients. Metabolism. 57(1). 24–29. 17 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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