Hong-Zhan Wang

882 total citations
24 papers, 672 citations indexed

About

Hong-Zhan Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Urology. According to data from OpenAlex, Hong-Zhan Wang has authored 24 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 4 papers in Urology. Recurrent topics in Hong-Zhan Wang's work include Connexins and lens biology (12 papers), Ion channel regulation and function (11 papers) and Cardiac electrophysiology and arrhythmias (6 papers). Hong-Zhan Wang is often cited by papers focused on Connexins and lens biology (12 papers), Ion channel regulation and function (11 papers) and Cardiac electrophysiology and arrhythmias (6 papers). Hong-Zhan Wang collaborates with scholars based in United States, Russia and Netherlands. Hong-Zhan Wang's co-authors include Richard D. Veenstra, Peter R. Brink, Thomas W. White, Leping Li, E M Westphale, Eric C. Beyer, George J. Christ, Virginijus Valiūnas, Weixin Zhao and Caterina Sellitto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation Research and FEBS Letters.

In The Last Decade

Hong-Zhan Wang

22 papers receiving 664 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong-Zhan Wang United States 14 481 96 78 64 59 24 672
Whitney F. Kellett United States 9 288 0.6× 61 0.6× 230 2.9× 14 0.2× 17 0.3× 20 423
J. Zipper Germany 9 200 0.4× 20 0.2× 48 0.6× 12 0.2× 105 1.8× 22 531
Thomas Schmidt‐Rose Germany 11 314 0.7× 119 1.2× 52 0.7× 22 0.3× 18 0.3× 14 482
Nicolás Enrique Argentina 10 435 0.9× 102 1.1× 5 0.1× 27 0.4× 28 0.5× 20 529
Jin Sui United States 12 562 1.2× 296 3.1× 16 0.2× 8 0.1× 23 0.4× 23 683
Hiroshi Ijiri Japan 15 229 0.5× 239 2.5× 11 0.1× 22 0.3× 32 0.5× 47 556
Alejandro Rebolledo Argentina 10 322 0.7× 114 1.2× 3 0.0× 31 0.5× 93 1.6× 35 504
Pawan K. Shahi United States 13 621 1.3× 26 0.3× 7 0.1× 90 1.4× 42 0.7× 26 803
Heiko Ullmann Germany 8 186 0.4× 68 0.7× 7 0.1× 10 0.2× 41 0.7× 8 470
Nataliya Chorna Puerto Rico 16 261 0.5× 18 0.2× 6 0.1× 51 0.8× 76 1.3× 32 644

Countries citing papers authored by Hong-Zhan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hong-Zhan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong-Zhan Wang. 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 Hong-Zhan Wang. The network helps show where Hong-Zhan Wang may publish in the future.

Co-authorship network of co-authors of Hong-Zhan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hong-Zhan Wang. A scholar is included among the top collaborators of Hong-Zhan Wang 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 Hong-Zhan Wang. Hong-Zhan Wang 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.
Hou, Panpan, Ling Zhong, Jingyi Shi, et al.. (2024). The fully activated open state of KCNQ1 controls the cardiac “fight-or-flight” response. PNAS Nexus. 3(10). pgae452–pgae452.
2.
Wu, Wenbin, Fan Gao, Yueheng Tang, et al.. (2024). Huanglian-Renshen-Decoction Maintains Islet β-Cell Identity in T2DM Mice through Regulating GLP-1 and GLP-1R in Both Islet and Intestine. Chinese Journal of Integrative Medicine. 31(1). 39–48.
3.
Lin, Yangyang, Sam Z. Grinter, Zhongju Lu, et al.. (2021). Modulating the voltage sensor of a cardiac potassium channel shows antiarrhythmic effects. Proceedings of the National Academy of Sciences. 118(20). 10 indexed citations
4.
Liu, Yongfeng, Xianjin Xu, Junyuan Gao, et al.. (2020). A PIP2 substitute mediates voltage sensor-pore coupling in KCNQ activation. Communications Biology. 3(1). 385–385. 17 indexed citations
5.
Lu, Zhongju, Hong-Zhan Wang, Chris Gordon, et al.. (2020). Regulation of HCN2 Current by PI3K/Akt Signaling. Frontiers in Physiology. 11. 587040–587040. 1 indexed citations
6.
Lee, Ming-Yang, Hong-Zhan Wang, Thomas W. White, et al.. (2019). Allele-Specific Small Interfering RNA Corrects Aberrant Cellular Phenotype in Keratitis-Ichthyosis-Deafness Syndrome Keratinocytes. Journal of Investigative Dermatology. 140(5). 1035–1044.e7. 20 indexed citations
7.
Lin, Richard Z., Zhongju Lu, Evgeny P. Anyukhovsky, et al.. (2019). Regulation of heart rate and the pacemaker current by phosphoinositide 3-kinase signaling. The Journal of General Physiology. 151(8). 1051–1058. 11 indexed citations
8.
Xu, Yan, Ming‐Tzo Wei, H. Daniel Ou‐Yang, et al.. (2016). Exposure to TiO2 nanoparticles increases Staphylococcus aureus infection of HeLa cells. Journal of Nanobiotechnology. 14(1). 34–34. 78 indexed citations
9.
Wang, Hong-Zhan, Barbara Rosati, Chris Gordon, et al.. (2015). Inhibition of histone deacetylase (HDAC) by 4-phenylbutyrate results in increased junctional conductance between rat corpora smooth muscle cells. Frontiers in Pharmacology. 6. 9–9. 3 indexed citations
10.
Wang, Hong-Zhan, et al.. (2015). Differential regulation of Connexin50 and Connexin46 by PI3K signaling. FEBS Letters. 589(12). 1340–1345. 17 indexed citations
11.
Sellitto, Caterina, Hong-Zhan Wang, Leping Li, et al.. (2014). Aberrant Connexin26 Hemichannels Underlying Keratitis–Ichthyosis–Deafness Syndrome Are Potently Inhibited by Mefloquine. Journal of Investigative Dermatology. 135(4). 1033–1042. 21 indexed citations
12.
Lü, Jia, Hong-Zhan Wang, Zhiheng Jia, et al.. (2012). Improving Cardiac Conduction With a Skeletal Muscle Sodium Channel by Gene and Cell Therapy. Journal of Cardiovascular Pharmacology. 60(1). 88–99. 7 indexed citations
13.
14.
White, Thomas W., Caterina Sellitto, Leping Li, et al.. (2011). Interactions Between Gap Junctional Communication And Phosphoinositide 3-kinase Signaling In Lens Growth. Investigative Ophthalmology & Visual Science. 52(14). 3928–3928. 1 indexed citations
15.
Meşe, Gülistan, Caterina Sellitto, Leping Li, et al.. (2011). The Cx26-G45E mutation displays increased hemichannel activity in a mouse model of the lethal form of keratitis-ichthyosis-deafness syndrome. Molecular Biology of the Cell. 22(24). 4776–4786. 78 indexed citations
16.
17.
Christ, George J., Weixin Zhao, K Venkateswarlu, et al.. (2006). Effects of streptozotocin‐induced diabetes on bladder and erectile (dys)function in the same rat in vivo. British Journal of Urology. 97(5). 1076–1082. 49 indexed citations
18.
Davies, Kelvin P., Weixin Zhao, Moses Tar, et al.. (2006). Diabetes-Induced Changes in the Alternative Splicing of the Slo Gene in Corporal Tissue. European Urology. 52(4). 1229–1237. 20 indexed citations
19.
Christ, George J., K Venkateswarlu, Nancy S. Day, et al.. (2003). Intercellular Communication and Bladder Function. PubMed. 539(Pt A). 239–254. 10 indexed citations
20.
Wang, Hong-Zhan & Richard D. Veenstra. (1997). Monovalent Ion Selectivity Sequences of the Rat Connexin43 Gap Junction Channel. The Journal of General Physiology. 109(4). 491–507. 106 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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