Xiao‐Ming Gao

1.5k total citations
21 papers, 1.1k citations indexed

About

Xiao‐Ming Gao is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Xiao‐Ming Gao has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 13 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Xiao‐Ming Gao's work include Cardiac Fibrosis and Remodeling (11 papers), Cardiac Structural Anomalies and Repair (9 papers) and Cardiomyopathy and Myosin Studies (5 papers). Xiao‐Ming Gao is often cited by papers focused on Cardiac Fibrosis and Remodeling (11 papers), Cardiac Structural Anomalies and Repair (9 papers) and Cardiomyopathy and Myosin Studies (5 papers). Xiao‐Ming Gao collaborates with scholars based in Australia, China and United States. Xiao‐Ming Gao's co-authors include Anthony M. Dart, Helen Kiriazis, Xiao‐Jun Du, Yidan Su, Xiao‐Jun Du, Xiao‐Lei Moore, David A. White, Fang Lü, Yi‐Ning Yang and Ziqiu Ming and has published in prestigious journals such as Scientific Reports, Endocrinology and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Xiao‐Ming Gao

21 papers receiving 1.1k citations

Peers

Xiao‐Ming Gao
Pamela C. Powell United States
Yidan Su Australia
Gerardus P. J. van Hout Netherlands
Lena Bosch Netherlands
Yukun Luo China
Taro Date Japan
Ryuichiro Murakami Japan
Christine Gersch United States
Karla Kurrelmeyer United States
Neil P. Lewis United States
Pamela C. Powell United States
Xiao‐Ming Gao
Citations per year, relative to Xiao‐Ming Gao Xiao‐Ming Gao (= 1×) peers Pamela C. Powell

Countries citing papers authored by Xiao‐Ming Gao

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Ming Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao‐Ming Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐Ming Gao. A scholar is included among the top collaborators of Xiao‐Ming 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 Xiao‐Ming Gao. Xiao‐Ming Gao 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
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Gai, Min‐Tao, Dilare Adi, Xiaocui Chen, et al.. (2021). Polymorphisms of rs2483205 and rs562556 in the PCSK9 gene are associated with coronary artery disease and cardiovascular risk factors. Scientific Reports. 11(1). 11450–11450. 17 indexed citations
4.
Liu, Fen, Guoli Du, Yi-Tong Ma, et al.. (2020). Hyperuricemia and its association with adiposity and dyslipidemia in Northwest China: results from cardiovascular risk survey in Xinjiang (CRS 2008–2012). Lipids in Health and Disease. 19(1). 58–58. 61 indexed citations
5.
White, David, Yidan Su, Peter Kanellakis, et al.. (2014). Differential roles of cardiac and leukocyte derived macrophage migration inhibitory factor in inflammatory responses and cardiac remodelling post myocardial infarction. Journal of Molecular and Cellular Cardiology. 69. 32–42. 54 indexed citations
6.
Chan, William, Stephen J. Duffy, David A. White, et al.. (2012). Acute Left Ventricular Remodeling Following Myocardial Infarction. JACC. Cardiovascular imaging. 5(9). 884–893. 88 indexed citations
7.
Gao, Xiao‐Ming, David A. White, Anthony M. Dart, & Xiao‐Jun Du. (2012). Post-infarct cardiac rupture: Recent insights on pathogenesis and therapeutic interventions. Pharmacology & Therapeutics. 134(2). 156–179. 96 indexed citations
8.
Gao, Xiao‐Ming, Yang Liu, David White, et al.. (2011). Deletion of macrophage migration inhibitory factor protects the heart from severe ischemia–reperfusion injury: A predominant role of anti-inflammation. Journal of Molecular and Cellular Cardiology. 50(6). 991–999. 96 indexed citations
9.
Liu, Yang, Xiao‐Ming Gao, Fang Lü, et al.. (2011). Novel Role of Platelets in Mediating Inflammatory Responses and Ventricular Rupture or Remodeling Following Myocardial Infarction. Arteriosclerosis Thrombosis and Vascular Biology. 31(4). 834–841. 91 indexed citations
10.
Shan, Leonard, Xiao‐Ming Gao, Helen Kiriazis, et al.. (2010). Role of intramural platelet thrombus in the pathogenesis of wall rupture and intra-ventricular thrombosis following acute myocardial infarction. Thrombosis and Haemostasis. 105(2). 356–364. 18 indexed citations
11.
Lü, Fang, Xiao‐Jun Du, Xiao‐Ming Gao, & Anthony M. Dart. (2010). Activation of peripheral blood mononuclear cells and extracellular matrix and inflammatory gene profile in acute myocardial infarction. Clinical Science. 119(4). 175–183. 28 indexed citations
12.
Li, Xiaomei, Yi‐Tong Ma, Yi‐Ning Yang, et al.. (2009). Downregulation of survival signalling pathways and increased apoptosis in the transition of pressure overload‐induced cardiac hypertrophy to heart failure. Clinical and Experimental Pharmacology and Physiology. 36(11). 1054–1061. 64 indexed citations
13.
Gao, Xiao‐Ming, Ziqiu Ming, Yidan Su, et al.. (2009). Infarct size and post-infarct inflammation determine the risk of cardiac rupture in mice. International Journal of Cardiology. 143(1). 20–28. 43 indexed citations
14.
Yang, Yi‐Ning, Yi‐Tong Ma, Wei Han, et al.. (2008). Age-related differences in postinfarct left ventricular rupture and remodeling. American Journal of Physiology-Heart and Circulatory Physiology. 294(4). H1815–H1822. 44 indexed citations
15.
Lü, Fang, Xiao‐Ming Gao, Xiao‐Lei Moore, et al.. (2007). Differences in inflammation, MMP activation and collagen damage account for gender difference in murine cardiac rupture following myocardial infarction. Journal of Molecular and Cellular Cardiology. 43(5). 535–544. 101 indexed citations
16.
Gao, Xiao‐Ming, G. Wong, Helen Kiriazis, et al.. (2006). Inhibition of mTOR reduces chronic pressure-overload cardiac hypertrophy and fibrosis. Journal of Hypertension. 24(8). 1663–1670. 128 indexed citations
17.
Gao, Xiao‐Ming, Helen Kiriazis, Xiao‐Lei Moore, et al.. (2005). Regression of pressure overload-induced left ventricular hypertrophy in mice. American Journal of Physiology-Heart and Circulatory Physiology. 288(6). H2702–H2707. 73 indexed citations
18.
Du, Xiao‐Jun, et al.. (2004). If channel inhibitor ivabradine lowers heart rate in mice with enhanced sympathoadrenergic activities. British Journal of Pharmacology. 142(1). 107–112. 41 indexed citations
19.
Gao, Xiao‐Ming, Alex Agrotis, Dominic J. Autelitano, et al.. (2003). Sex Hormones and Cardiomyopathic Phenotype Induced by Cardiac β2-Adrenergic Receptor Overexpression. Endocrinology. 144(9). 4097–4105. 65 indexed citations
20.
Du, Xiao‐Jun, et al.. (1998). Surgical methods of inducing transverse aortic stenosis and myocardial infarction in the mouse. 7(3). 187–192. 4 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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