Bi-Hua Tan

1.1k total citations
18 papers, 802 citations indexed

About

Bi-Hua Tan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Bi-Hua Tan has authored 18 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Cardiology and Cardiovascular Medicine and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Bi-Hua Tan's work include Cardiac electrophysiology and arrhythmias (12 papers), Ion channel regulation and function (11 papers) and Receptor Mechanisms and Signaling (5 papers). Bi-Hua Tan is often cited by papers focused on Cardiac electrophysiology and arrhythmias (12 papers), Ion channel regulation and function (11 papers) and Receptor Mechanisms and Signaling (5 papers). Bi-Hua Tan collaborates with scholars based in United States, China and Italy. Bi-Hua Tan's co-authors include Jonathan C. Makielski, Chunhua Song, David J. Tester, Michael J. Ackerman, Carmen R. Valdivia, Argelia Medeiros‐Domingo, Stacie Kroboth, Bin Ye, Lia Crotti and Qing Zhou and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Bi-Hua Tan

18 papers receiving 788 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bi-Hua Tan United States 15 570 502 74 71 71 18 802
Kazuro Sugishita Japan 13 291 0.5× 252 0.5× 12 0.2× 65 0.9× 22 0.3× 23 514
T Kuwaki Japan 10 206 0.4× 122 0.2× 13 0.2× 21 0.3× 100 1.4× 17 681
Tina S. Fong United States 6 459 0.8× 395 0.8× 12 0.2× 100 1.4× 16 0.2× 7 654
Setsuya Miyata Japan 10 538 0.9× 484 1.0× 6 0.1× 41 0.6× 8 0.1× 16 914
Alessia Lombardi Italy 13 235 0.4× 122 0.2× 39 0.5× 23 0.3× 14 0.2× 20 705
Darryl L. Kirkpatrick United States 12 513 0.9× 554 1.1× 4 0.1× 60 0.8× 21 0.3× 14 806
Shelby Gorman United States 8 274 0.5× 52 0.1× 12 0.2× 18 0.3× 34 0.5× 11 442
Adrienne N. Harris United States 7 643 1.1× 604 1.2× 16 0.2× 56 0.8× 3 0.0× 8 990
Regine Potthast Germany 9 287 0.5× 160 0.3× 15 0.2× 39 0.5× 6 0.1× 9 517
Nathalie Courtois‐Coutry France 10 499 0.9× 35 0.1× 12 0.2× 35 0.5× 13 0.2× 17 698

Countries citing papers authored by Bi-Hua Tan

Since Specialization
Citations

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

Fields of papers citing papers by Bi-Hua Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bi-Hua Tan. 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 Bi-Hua Tan. The network helps show where Bi-Hua Tan may publish in the future.

Co-authorship network of co-authors of Bi-Hua Tan

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

All Works

18 of 18 papers shown
2.
Tester, David J., Ryan Li, Tianyu Sun, et al.. (2018). Mexiletine rescues a mixed biophysical phenotype of the cardiac sodium channel arising from the SCN5A mutation, N406K, found in LQT3 patients. Channels. 12(1). 176–186. 11 indexed citations
3.
Gowda, Chandrika, Malika Kapadia, Yali Ding, et al.. (2016). Casein Kinase II (CK2) as a Therapeutic Target for Hematological Malignancies. Current Pharmaceutical Design. 23(1). 95–107. 42 indexed citations
4.
Wang, Haijun, Chunhua Song, Yali Ding, et al.. (2015). Transcriptional Regulation of JARID1B/KDM5B Histone Demethylase by Ikaros, Histone Deacetylase 1 (HDAC1), and Casein Kinase 2 (CK2) in B-cell Acute Lymphoblastic Leukemia. Journal of Biological Chemistry. 291(8). 4004–4018. 50 indexed citations
5.
Tan, Bi-Hua, David J. Tester, Chunhua Song, et al.. (2015). Arrhythmogenic Biophysical Phenotype for SCN5A Mutation S1787N Depends upon Splice Variant Background and Intracellular Acidosis. PLoS ONE. 10(4). e0124921–e0124921. 15 indexed citations
6.
Liu, Bei, Jian Gu, Hang Liu, et al.. (2015). MiR-215, an activator of the CTNNBIP1/β-catenin pathway, is a marker of poor prognosis in human glioma. Oncotarget. 6(28). 25024–25033. 30 indexed citations
7.
Song, Chunhua, Chandrika Gowda, Xiaokang Pan, et al.. (2015). Targeting casein kinase II restores Ikaros tumor suppressor activity and demonstrates therapeutic efficacy in high-risk leukemia. Blood. 126(15). 1813–1822. 81 indexed citations
8.
Vaidyanathan, Ravi, Chunhua Song, Qing Zhou, et al.. (2013). The interaction of caveolin 3 protein with the potassium inward rectifier channel Kir2.1. PHYSIOLOGY AND PATHOLOGY RELATED TO LONG QT SYNDROME 9 (LQT9).. Journal of Biological Chemistry. 288(40). 28948–28948. 2 indexed citations
9.
Tan, Bi-Hua, et al.. (2013). Digenic inheritance novel mutations in SCN5a and SNTA1 increase late INa contributing to LQT syndrome. American Journal of Physiology-Heart and Circulatory Physiology. 304(7). H994–H1001. 16 indexed citations
10.
Cheng, Jianding, David J. Tester, Bi-Hua Tan, et al.. (2011). The common African American polymorphism SCN5A-S1103Y interacts with mutation SCN5A-R680H to increase late Na current. Physiological Genomics. 43(9). 461–466. 23 indexed citations
11.
Tester, David J., Bi-Hua Tan, Argelia Medeiros‐Domingo, et al.. (2011). Loss-of-Function Mutations in the KCNJ8 -Encoded Kir6.1 K ATP Channel and Sudden Infant Death Syndrome. Circulation Cardiovascular Genetics. 4(5). 510–515. 44 indexed citations
12.
Cheng, Jianding, Jonathan C. Makielski, Ping Yuan, et al.. (2010). Sudden Unexplained Nocturnal Death Syndrome in Southern China. American Journal of Forensic Medicine & Pathology. 32(4). 359–363. 25 indexed citations
13.
Tan, Bi-Hua, Kavitha N. Pundi, David W. Van Norstrand, et al.. (2010). Sudden infant death syndrome–associated mutations in the sodium channel beta subunits. Heart Rhythm. 7(6). 771–778. 83 indexed citations
14.
Medeiros‐Domingo, Argelia, Bi-Hua Tan, Lia Crotti, et al.. (2010). Gain-of-function mutation S422L in the KCNJ8-encoded cardiac KATP channel Kir6.1 as a pathogenic substrate for J-wave syndromes. Heart Rhythm. 7(10). 1466–1471. 190 indexed citations
15.
Stoller, Douglas, John Fahrenbach, Karel Chalupský, et al.. (2010). Cardiomyocyte sulfonylurea receptor 2-KATPchannel mediates cardioprotection and ST segment elevation. American Journal of Physiology-Heart and Circulatory Physiology. 299(4). H1100–H1108. 17 indexed citations
16.
Tan, Bi-Hua, Carmen R. Valdivia, Chunhua Song, & Jonathan C. Makielski. (2006). Partial expression defect for the SCN5A missense mutation G1406R depends on splice variant background Q1077 and rescue by mexiletine. American Journal of Physiology-Heart and Circulatory Physiology. 291(4). H1822–H1828. 52 indexed citations
17.
Tan, Bi-Hua, Carmen R. Valdivia, Bin Ye, et al.. (2005). Common human SCN5A polymorphisms have altered electrophysiology when expressed in Q1077 splice variants. Heart Rhythm. 2(7). 741–747. 95 indexed citations
18.
Tan, Bi-Hua, et al.. (2003). Wavelet transform analysis of heart rate variability to assess the autonomic changes associated with spontaneous coronary spasm of variant angina. Journal of Electrocardiology. 36(2). 117–124. 23 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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