Han‐Gang Yu

2.4k total citations
35 papers, 1.9k citations indexed

About

Han‐Gang Yu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Han‐Gang Yu has authored 35 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 26 papers in Cardiology and Cardiovascular Medicine and 19 papers in Cellular and Molecular Neuroscience. Recurrent topics in Han‐Gang Yu's work include Ion channel regulation and function (27 papers), Cardiac electrophysiology and arrhythmias (24 papers) and Neuroscience and Neuropharmacology Research (10 papers). Han‐Gang Yu is often cited by papers focused on Ion channel regulation and function (27 papers), Cardiac electrophysiology and arrhythmias (24 papers) and Neuroscience and Neuropharmacology Research (10 papers). Han‐Gang Yu collaborates with scholars based in United States, China and Czechia. Han‐Gang Yu's co-authors include Ira S. Cohen, David McKinnon, Randy S. Wymore, Jane E. Dixon, Wenmei Shi, Hongsheng Wang, Christine McDonald, Zongming Pan, Michael R. Rosen and Richard B. Robinson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Han‐Gang Yu

35 papers receiving 1.9k citations

Peers

Han‐Gang Yu

CCM

CMN

PHYSI

Cécile Terrenoire United States

Paola Imbrici Italy

Francesco Miceli Italy

S C O’Neill United Kingdom

Udo Klöckner Germany

Tomokazu Watano Japan

Rikuo Ochi Japan

H. Porzig Switzerland

Isabelle Bidaud France

Yu‐Fung Lin United States

Cécile Terrenoire United States

Han‐Gang Yu

1.4k ×1.1

963 ×0.7

CCM

618 ×1.0

CMN

153 ×1.5

PHYSI

109 ×1.5

Citations per year, relative to Han‐Gang Yu Han‐Gang Yu (= 1×) peers Cécile Terrenoire

Countries citing papers authored by Han‐Gang Yu

Since Specialization

Citations

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

Fields of papers citing papers by Han‐Gang Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han‐Gang Yu. 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 Han‐Gang Yu. The network helps show where Han‐Gang Yu may publish in the future.

Co-authorship network of co-authors of Han‐Gang Yu

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

All Works

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20 of 20 papers shown

Yu, Han‐Gang. (2022). Depolarization or hyperpolarization: Emerging role of altered bioelectricity in breast cancer metastasis. EBioMedicine. 76. 103853–103853. 9 indexed citations

Yu, Han‐Gang, et al.. (2021). Detecting SARS-CoV-2 Orf3a and E ion channel activity in COVID-19 blood samples. SHILAP Revista de lepidopterología. 5(1). e196–e196. 8 indexed citations

Sizemore, Gina M., Sarah L. McLaughlin, Kathleen M. Brundage, et al.. (2020). Opening large-conductance potassium channels selectively induced cell death of triple-negative breast cancer. BMC Cancer. 20(1). 18 indexed citations

Yu, Han‐Gang, et al.. (2016). Altering bioelectricity on inhibition of human breast cancer cells. Cancer Cell International. 16(1). 72–72. 36 indexed citations

Huang, Jianying, et al.. (2014). PP2 Prevents beta-Adrenergic Stimulation of Cardiac Pacemaker Activity. 1 indexed citations

Huang, Jianying, et al.. (2014). PP2 Prevents Isoproterenol Stimulation of Cardiac Pacemaker Activity. Journal of Cardiovascular Pharmacology. 65(2). 193–202. 8 indexed citations

Zhang, Qi, et al.. (2009). Associated changes in HCN2 and HCN4 transcripts and If pacemaker current in myocytes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1788(5). 1138–1147. 19 indexed citations

Lin, Yen‐Chang, Jianying Huang, Hong Kan, Jefferson C. Frisbee, & Han‐Gang Yu. (2009). Rescue of a Trafficking Defective Human Pacemaker Channel via a Novel Mechanism. Journal of Biological Chemistry. 284(44). 30433–30440. 12 indexed citations

Frisbee, Jefferson C., John M. Hollander, Robert W. Brock, Han‐Gang Yu, & Matthew A. Boegehold. (2009). Integration of skeletal muscle resistance arteriolar reactivity for perfusion responses in the metabolic syndrome. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 296(6). R1771–R1782. 28 indexed citations

10.

Huang, Jianying, et al.. (2008). Novel Mechanism for Suppression of Hyperpolarization-activated Cyclic Nucleotide-gated Pacemaker Channels by Receptor-like Tyrosine Phosphatase-α. Journal of Biological Chemistry. 283(44). 29912–29919. 24 indexed citations

11.

Li, Chenhong, et al.. (2007). Src tyrosine kinase alters gating of hyperpolarization-activated HCN4 pacemaker channel through Tyr⁵³¹. American Journal of Physiology-Cell Physiology. 294(1). C355–C362. 37 indexed citations

12.

Cohen, Ira S., et al.. (2006). Constitutively Active Src Tyrosine Kinase Changes Gating of HCN4 Channels Through Direct Binding to the Channel Proteins. Journal of Cardiovascular Pharmacology. 47(4). 578–586. 36 indexed citations

13.

Yu, Xiao, Xiaowei Chen, Peng Zhou, et al.. (2006). Calcium influx through I_f channels in rat ventricular myocytes. American Journal of Physiology-Cell Physiology. 292(3). C1147–C1155. 32 indexed citations

14.

Yu, Han‐Gang, Zhongju Lu, Zongming Pan, & Ira S. Cohen. (2004). Tyrosine kinase inhibition differentially regulates heterologously expressed HCN channels. Pflügers Archiv - European Journal of Physiology. 447(4). 392–400. 47 indexed citations

15.

Yu, Xiao, Kailai Duan, Chunfeng Shang, Han‐Gang Yu, & Zhuan Zhou. (2004). Calcium influx through hyperpolarization-activated cation channels ( I _h channels) contributes to activity-evoked neuronal secretion. Proceedings of the National Academy of Sciences. 101(4). 1051–1056. 87 indexed citations

16.

Yu, Han‐Gang, et al.. (2000). Epidermal growth factor increases if in rabbit SA node cells by activating a tyrosine kinase. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1463(1). 15–19. 28 indexed citations

17.

Robinson, Richard B., et al.. (1997). Developmental change in the voltage-dependence of the pacemaker current, i f , in rat ventricle cells. Pflügers Archiv - European Journal of Physiology. 433(4). 533–535. 75 indexed citations

18.

Hara, Motoki, Yuanmou Liu, Ira S. Cohen, et al.. (1997). Positive Chronotropic Actions of Parathyroid Hormone and Parathyroid Hormone–Related Peptide Are Associated With Increases in the Current,I_f, and the Slope of the Pacemaker Potential. Circulation. 96(10). 3704–3709. 40 indexed citations

19.

Dixon, Jane E., Wenmei Shi, Hongsheng Wang, et al.. (1996). Role of the Kv4.3 K⁺Channel in Ventricular Muscle. Circulation Research. 79(4). 659–668. 368 indexed citations

20.

Yu, Han‐Gang, et al.. (1993). Phosphatase inhibition by calyculin A increases if in canine Purkinje fibers and myocytes. Pflügers Archiv - European Journal of Physiology. 422(6). 614–616. 28 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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