Haibo Gu

415 total citations
11 papers, 323 citations indexed

About

Haibo Gu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Haibo Gu has authored 11 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 2 papers in Genetics. Recurrent topics in Haibo Gu's work include Stress Responses and Cortisol (1 paper), Pluripotent Stem Cells Research (1 paper) and Cardiac pacing and defibrillation studies (1 paper). Haibo Gu is often cited by papers focused on Stress Responses and Cortisol (1 paper), Pluripotent Stem Cells Research (1 paper) and Cardiac pacing and defibrillation studies (1 paper). Haibo Gu collaborates with scholars based in China, United States and Australia. Haibo Gu's co-authors include Jianchang Chen, Yufeng Zhang, Qingqing Xia, Jia Qi, Weilong Jiang, Weiting Xu, Brian H. Johnstone, Keith L. March, Yansheng Du and Xing Wei and has published in prestigious journals such as PLoS ONE, Cellular and Molecular Life Sciences and IEEE Access.

In The Last Decade

Haibo Gu

11 papers receiving 318 citations

Peers

Haibo Gu

MB

GENET

CCM

PFM

SURGE

Maria Giulia Perrelli Italy

Lixin Li China

Fatma Helvacıoğlu Türkiye

Ju Eun Oh South Korea

Nathaniel P. Brooks United States

Masato Naraoka Japan

Kathleen E. Rodgers United States

Mona Ahmadi Iran

Anzel Bahadır Türkiye

Shujuan Zhang China

Maria Giulia Perrelli Italy

Haibo Gu

60 ×0.7

MB

20 ×0.3

GENET

48 ×0.7

CCM

80 ×1.3

PFM

50 ×0.8

SURGE

Citations per year, relative to Haibo Gu Haibo Gu (= 1×) peers Maria Giulia Perrelli

Countries citing papers authored by Haibo Gu

Since Specialization

Citations

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

Fields of papers citing papers by Haibo Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibo Gu

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Bai, Hui‐Yu, et al.. (2025). Involvement of miRNA-204 carried by the exosomes of macrophages in the AT2 receptor-mediated improvement of vascular calcification. Cellular and Molecular Life Sciences. 82(1). 165–165. 3 indexed citations

2.

Bai, Hui‐Yu, Hui Li, Xiang Zhou, Haibo Gu, & Bao‐Shuai Shan. (2022). AT2 Receptor Stimulation Inhibits Vascular Smooth Muscle Cell Senescence Induced by Angiotensin II and Hyperglycemia. American Journal of Hypertension. 35(10). 884–891. 7 indexed citations

3.

Zhang, Wanjun, et al.. (2019). Diagnostic Model of Coronary Microvascular Disease Combined With Full Convolution Deep Network With Balanced Cross-Entropy Cost Function. IEEE Access. 7. 177997–178006. 15 indexed citations

4.

Gu, Xiaosong, Hui Li, Xinyi Zhu, et al.. (2015). Inverse Correlation Between Plasma Adropin and ET-1 Levels in Essential Hypertension. Medicine. 94(40). e1712–e1712. 50 indexed citations

5.

Jiang, Weilong, Haibo Gu, Yufeng Zhang, et al.. (2015). Vitamin D Supplementation in the Treatment of Chronic Heart Failure: A Meta‐analysis of Randomized Controlled Trials. Clinical Cardiology. 39(1). 56–61. 77 indexed citations

6.

Gu, Xiaosong, Liangping Zhao, Jing Zhu, et al.. (2015). Serum Mimecan Is Associated With Arterial Stiffness in Hypertensive Patients. Journal of the American Heart Association. 4(7). 17 indexed citations

7.

Zhao, Liangping, Weiting Xu, Li Wang, et al.. (2014). Influence of insulin resistance on in-stent restenosis in patients undergoing coronary drug-eluting stent implantation after long-term angiographic follow-up. Coronary Artery Disease. 26(1). 5–10. 32 indexed citations

8.

Dong, Ningzheng, Qi Wang, Shengjie Zhang, et al.. (2013). Increased Levels of Plasma Soluble Sema4D in Patients with Heart Failure. PLoS ONE. 8(5). e64265–e64265. 24 indexed citations

9.

Wei, Xing, Liming Zhao, Juan Zhong, et al.. (2009). Adipose stromal cells-secreted neuroprotective media against neuronal apoptosis. Neuroscience Letters. 462(1). 76–79. 96 indexed citations

10.

Wang, Lijun, Hong Ma, Xinxue Liao, et al.. (2008). [An experimental study of expression of angiotension converting enzyme 2 in myocardium and effect of telmisartan treatment in pressure-overloaded rats].. PubMed. 20(4). 218–22. 1 indexed citations

11.

Ma, Hong, Xinxue Liao, Xuesong Hu, et al.. (2006). [Study on up-regulation of the expression of angiotensin-converting enzyme-2 in human umbilical vein endothelial cells by telmisartan].. PubMed. 18(4). 224–8. 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.

Explore authors with similar magnitude of impact