Jieming Mao

496 total citations
30 papers, 410 citations indexed

About

Jieming Mao is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Jieming Mao has authored 30 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 9 papers in Cardiology and Cardiovascular Medicine and 6 papers in Molecular Biology. Recurrent topics in Jieming Mao's work include Cardiac Imaging and Diagnostics (6 papers), Cardiovascular Function and Risk Factors (5 papers) and Coronary Interventions and Diagnostics (5 papers). Jieming Mao is often cited by papers focused on Cardiac Imaging and Diagnostics (6 papers), Cardiovascular Function and Risk Factors (5 papers) and Coronary Interventions and Diagnostics (5 papers). Jieming Mao collaborates with scholars based in China, United States and Romania. Jieming Mao's co-authors include Xian Wang, Guang Wang, Jie Yu, Guang Wang, Xian Wang, Youfei Guan, Xinheng Feng, Jiangli Han, Jinru Wei and Nan Jin and has published in prestigious journals such as Biochemical and Biophysical Research Communications, The American Journal of Cardiology and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Jieming Mao

28 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jieming Mao China 11 140 117 97 79 61 30 410
Hideko Noguchi Japan 11 138 1.0× 69 0.6× 75 0.8× 48 0.6× 67 1.1× 31 637
Toyohiko Yokoi Japan 9 162 1.2× 88 0.8× 57 0.6× 49 0.6× 33 0.5× 16 435
Nynke E. Hahn Netherlands 9 158 1.1× 89 0.8× 68 0.7× 54 0.7× 35 0.6× 14 454
Einosuke Mizuta Japan 14 279 2.0× 174 1.5× 98 1.0× 58 0.7× 49 0.8× 38 690
E. Santini Italy 13 264 1.9× 106 0.9× 120 1.2× 98 1.2× 90 1.5× 21 667
Rebecca I. Schneider United States 13 112 0.8× 207 1.8× 130 1.3× 61 0.8× 100 1.6× 15 596
Keiichi Tamagaki Japan 14 184 1.3× 69 0.6× 109 1.1× 37 0.5× 79 1.3× 56 655
Tadeusz Pietrucha Poland 19 167 1.2× 219 1.9× 177 1.8× 46 0.6× 59 1.0× 59 777
Guangda Xiang China 13 226 1.6× 128 1.1× 94 1.0× 61 0.8× 188 3.1× 34 627
Tatiana Kouznetsova United States 10 166 1.2× 88 0.8× 60 0.6× 19 0.2× 74 1.2× 20 498

Countries citing papers authored by Jieming Mao

Since Specialization
Citations

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

Fields of papers citing papers by Jieming Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jieming Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Jieming Mao. A scholar is included among the top collaborators of Jieming Mao 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 Jieming Mao. Jieming Mao 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.
Zhong, Xingming, et al.. (2023). The Roles of Aerobic Exercise and Folate Supplementation in Hyperhomocysteinemia-Accelerated Atherosclerosis.. PubMed. 39(2). 309–318. 5 indexed citations
2.
Yu, Jie, Jiangli Han, Jieming Mao, Lijun Guo, & Wei Gao. (2014). Association between serum uric acid level and the severity of coronary artery disease in patients with obstructive coronary artery disease. Chinese Medical Journal. 127(6). 1039–1045. 20 indexed citations
3.
Li, Lei, Jiangli Han, Jieming Mao, Lijun Guo, & Wei Gao. (2013). Association between serum resistin level and cardiovascular events in postmenopausal women with acute coronary syndrome undergoing percutaneous coronary intervention. Chinese Medical Journal. 126(6). 1058–1062. 12 indexed citations
4.
Wang, Guang, Jinbo Liu, Jie Yu, et al.. (2012). Coronary Flow Velocity Reserve is Improved by PPAR‐α Agonist Fenofibrate in Patients with Hypertriglyceridemia. Cardiovascular Therapeutics. 31(3). 161–167. 14 indexed citations
5.
Sun, Zhongcui, Ji Zhang, Jifeng Zhang, et al.. (2011). Rad GTPase induces cardiomyocyte apoptosis through the activation of p38 mitogen-activated protein kinase. Biochemical and Biophysical Research Communications. 409(1). 52–57. 7 indexed citations
6.
He, Rong‐Rong, Jieming Mao, Guang Wang, & Wei Gao. (2011). [Effects of advanced glycation end products on the secretion of proinflammatory chemokines in vascular smooth muscle cells].. PubMed. 91(2). 107–10.
7.
Zeng, Hui, Shan Liu, Jinbo Liu, et al.. (2010). Homocysteine impairs coronary artery endothelial function by inhibiting tetrahydrobiopterin in patients with hyperhomocysteinemia. American Journal of Physiology-Endocrinology and Metabolism. 299(6). E1061–E1065. 48 indexed citations
8.
Han, Yaling, Jieming Mao, Weiyi Fang, et al.. (2010). Thorombolytic therapy with rescue percutaneous coronary intervention versus primary percutaneous coronary intervention in patients with acute myocardial infarction: a multicenter randomized clinical trial.. PubMed. 123(11). 1365–72. 7 indexed citations
9.
Wang, Guang, Zhe Zhang, Jie Yu, et al.. (2008). Antidiabetic Rosiglitazone Reduces Soluble Intercellular Adhesion Molecule‐1 Level in Type 2 Diabetic Patients with Coronary Artery Disease. PPAR Research. 2008(1). 548178–548178. 3 indexed citations
10.
11.
Han, Jiangli, et al.. (2007). The relationship between sex hormones and extent of coronary artery disease in postmenopausal women. Chinese Medical Journal. 120(1). 71–73. 3 indexed citations
12.
Sun, Lijie, Ming Cui, Xinheng Feng, et al.. (2007). Mesenchymal stem cells modified with angiopoietin-1 improve remodeling in a rat model of acute myocardial infarction. Biochemical and Biophysical Research Communications. 357(3). 779–784. 66 indexed citations
13.
Wang, Guang, Jing Dai, Jieming Mao, et al.. (2005). Folic acid reverses hyper-responsiveness of LPS-induced chemokine secretion from monocytes in patients with hyperhomocysteinemia. Atherosclerosis. 179(2). 395–402. 46 indexed citations
14.
15.
Guo, Lijun, Tingting Tan, & Jieming Mao. (2003). [Clinical manifestation and prognosis of myocardial bridge].. PubMed. 83(7). 553–5.
16.
Xu, Hao, et al.. (2002). Clinical study of xiongshao capsule in preventing restenosis after coronary interventional treatment. Chinese Journal of Integrated Traditional and Western Medicine. 8(3). 162–166. 8 indexed citations
17.
Sun, Chao, Mingzhe Chen, Jieming Mao, & Xian Wang. (2001). Biphasic effects of orchidectomy on calcitonin gene-related peptide synthesis and release. Neuroreport. 12(16). 3497–3502. 5 indexed citations
18.
19.
Xu, Feng-Qing, Lizhi Li, Xiaofang Wang, et al.. (1995). The experimental study of xue guan tong (血맜通) on preventing restenosis after percutaneous transluminal angioplasty. Chinese Journal of Integrated Traditional and Western Medicine. 1(4). 284–287. 1 indexed citations
20.
Lee, Garrett, et al.. (1989). Percutaneous coronary laser angioplasty using quick short bursts of laser thermal energy for chronic total occlusions. The American Journal of Cardiology. 64(14). 940–942. 3 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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