Xiaorong Zeng

628 total citations
27 papers, 538 citations indexed

About

Xiaorong Zeng is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xiaorong Zeng has authored 27 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Cardiology and Cardiovascular Medicine and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xiaorong Zeng's work include Cardiac electrophysiology and arrhythmias (10 papers), Ion channel regulation and function (9 papers) and Neuroscience and Neuropharmacology Research (5 papers). Xiaorong Zeng is often cited by papers focused on Cardiac electrophysiology and arrhythmias (10 papers), Ion channel regulation and function (9 papers) and Neuroscience and Neuropharmacology Research (5 papers). Xiaorong Zeng collaborates with scholars based in China, Japan and United States. Xiaorong Zeng's co-authors include Yan Yang, Pengyun Li, Jun Cheng, Xiaoqiu Tan, Yutaka Nakaya, Kenji Fukuzawa, Kazushi Minami, Liang Mao, Jing Wen and Miaoling Li and has published in prestigious journals such as Journal of the American College of Cardiology, Biochemical and Biophysical Research Communications and Hypertension.

In The Last Decade

Xiaorong Zeng

27 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaorong Zeng China 11 370 154 104 95 86 27 538
Hongbo Jin China 12 208 0.6× 81 0.5× 82 0.8× 96 1.0× 84 1.0× 33 505
Xiangyu Xu China 10 246 0.7× 67 0.4× 42 0.4× 115 1.2× 60 0.7× 29 566
Zuzana Nichtová United States 13 458 1.2× 116 0.8× 98 0.9× 26 0.3× 125 1.5× 25 692
Kamil Ďuriš Czechia 14 271 0.7× 37 0.2× 58 0.6× 54 0.6× 79 0.9× 26 794
Wiktor Koziołkiewicz Poland 9 152 0.4× 105 0.7× 50 0.5× 29 0.3× 61 0.7× 24 458
Inna Rabinovich-Nikitin Canada 14 214 0.6× 113 0.7× 182 1.8× 28 0.3× 38 0.4× 31 591
Daoyuan Lu United States 10 425 1.1× 54 0.4× 278 2.7× 76 0.8× 66 0.8× 13 817
Kun‐Ta Yang Taiwan 13 223 0.6× 43 0.3× 58 0.6× 122 1.3× 27 0.3× 26 443
Haiqin Wu China 12 339 0.9× 31 0.2× 91 0.9× 122 1.3× 89 1.0× 35 567

Countries citing papers authored by Xiaorong Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaorong Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaorong Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaorong Zeng. A scholar is included among the top collaborators of Xiaorong Zeng 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 Xiaorong Zeng. Xiaorong Zeng 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.
Zeng, Xiaorong, et al.. (2021). Effect of renal function on high-density lipoprotein particles in patients with coronary heart disease. BMC Cardiovascular Disorders. 21(1). 534–534. 2 indexed citations
2.
Wei, Xiaoyu, Yuanqun Zhou, Jun Cheng, et al.. (2021). Mechanism of α1-Adrenergic Receptor-Induced Increased Contraction of Rat Mesenteric Artery in Aging Hypertension Rats. Gerontology. 67(3). 323–337. 8 indexed citations
3.
Liu, Dan, et al.. (2020). [Serum annexin A2 level is significantly elevated in patients with coronary heart disease].. PubMed. 40(3). 382–387. 2 indexed citations
4.
Tan, Xing, et al.. (2017). The phosphoinositide‐3 kinase signaling is involved in neuroinflammation in hypertensive rats. CNS Neuroscience & Therapeutics. 23(4). 350–359. 26 indexed citations
5.
Hao, Yanling, Yan Yang, Jinxia Wu, et al.. (2016). Improvement of contractile function of isolated hearts with ischemia-reperfusion injury of aged rats by ginkgolide B post-treatment. 25(23). 2713. 1 indexed citations
6.
Mao, Liang, Xue Li, Li Huang, et al.. (2016). GW27-e0971 Targeted therapeutics delivery to ischemia/reperfusion injured cardiomyocytes using genetically engineered exosomes. Journal of the American College of Cardiology. 68(16). C34–C34. 1 indexed citations
7.
Fan, Xinrong, Chao Wang, Na Wang, et al.. (2016). Atrial-selective block of sodium channels by acehytisine in rabbit myocardium. Journal of Pharmacological Sciences. 132(4). 235–243. 7 indexed citations
8.
Tan, Xiaoqiu, Weixia Liu, Hui Li, et al.. (2016). PI4Kβ, PIPs and BKCa channel function. Science Bulletin. 61(23). 1779–1782. 1 indexed citations
9.
Zeng, Xiaorong, et al.. (2015). Targeted therapeutic delivery using engineered exosomes and its applications in cardiovascular diseases. Gene. 575(2). 377–384. 129 indexed citations
10.
Li, Pengyun, Xiaorong Zeng, Jun Cheng, et al.. (2013). Rhynchophylline-induced vasodilation in human mesenteric artery is mainly due to blockage of L-type calcium channels in vascular smooth muscle cells. Naunyn-Schmiedeberg s Archives of Pharmacology. 386(11). 973–982. 22 indexed citations
11.
Yang, Yan, Pengyun Li, Jun Cheng, et al.. (2013). IP3 decreases coronary artery tone via activating the BKCa channel of coronary artery smooth muscle cells in pigs. Biochemical and Biophysical Research Communications. 439(3). 363–368. 16 indexed citations
12.
Chen, Qin, et al.. (2011). Study on the Refined Teaching Management of College and the Effective Mechanism. International Education Studies. 4(2). 1 indexed citations
13.
Tan, Xiaoqiu, et al.. (2011). Propofol increases the Ca2+ sensitivity of BKCa in the cerebral arterial smooth muscle cells of mice. Acta Pharmacologica Sinica. 33(1). 19–26. 11 indexed citations
14.
Tan, Xiaoqiu, Yan Yang, Jun Cheng, et al.. (2011). Unique action of sodium tanshinone II-A sulfonate (DS-201) on the Ca2+ dependent BKCa activation in mouse cerebral arterial smooth muscle cells. European Journal of Pharmacology. 656(1-3). 27–32. 21 indexed citations
15.
16.
Zeng, Xiaorong. (2008). Research Evolution of Proteomics in Cardiovascular Disease. 2 indexed citations
17.
Yang, Yan, Fang Cai, Pengyun Li, et al.. (2008). Activation of high conductance Ca2+-activated K+ channels by sodium tanshinoneII-A sulfonate (DS-201) in porcine coronary artery smooth muscle cells. European Journal of Pharmacology. 598(1-3). 9–15. 40 indexed citations
18.
Sun, Yubo, Xiaorong Zeng, Leonor Wenger, Gary S. Firestein, & Herman S. Cheung. (2004). p53 down‐regulates matrix metalloproteinase‐1 by targeting the communications between AP‐1 and the basal transcription complex. Journal of Cellular Biochemistry. 92(2). 258–269. 42 indexed citations
19.
Minami, Kazushi, et al.. (1993). Mechanism of activation of the Ca2+-activated K+ channel by cyclic AMP in cultured porcine coronary artery smooth muscle cells. Life Sciences. 53(14). 1129–1135. 92 indexed citations
20.
Wakatsuki, Tetsuzo, Yutaka Nakaya, Yukiko Miyoshi, et al.. (1992). Effects of vasopressin on ATP-sensitive and Ca2+-activated K+ channels of coronary arterial smooth muscle cells. The Japanese Journal of Pharmacology. 58. 339–339. 6 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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