Wayne C. H. Wang

1.1k total citations · 1 hit paper
15 papers, 885 citations indexed

About

Wayne C. H. Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Wayne C. H. Wang has authored 15 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Physiology. Recurrent topics in Wayne C. H. Wang's work include Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (4 papers) and Asthma and respiratory diseases (4 papers). Wayne C. H. Wang is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (4 papers) and Asthma and respiratory diseases (4 papers). Wayne C. H. Wang collaborates with scholars based in United States, Netherlands and South Korea. Wayne C. H. Wang's co-authors include Stephen B. Liggett, Steven S. An, Kathryn S. Robinett, Deepak A. Deshpande, James S.K. Sham, Cooduvalli S. Shashikant, Frank H. Ruddle, Alfredo Panebra, Reynold A. Panettieri and Richard C. Kurten and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Wayne C. H. Wang

15 papers receiving 874 citations

Hit Papers

Bitter taste receptors on airway smooth muscle bronchodil... 2010 2026 2015 2020 2010 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wayne C. H. Wang United States 11 428 390 356 221 191 15 885
Zhan Liu China 14 520 1.2× 362 0.9× 384 1.1× 283 1.3× 26 0.1× 34 1.1k
Philippe Fauré France 17 201 0.5× 152 0.4× 248 0.7× 145 0.7× 34 0.2× 37 642
Dany Gaillard France 14 451 1.1× 149 0.4× 292 0.8× 161 0.7× 89 0.5× 27 697
Julia F. Doerner Germany 9 172 0.4× 469 1.2× 501 1.4× 45 0.2× 99 0.5× 12 1.1k
Katrien De Clercq Belgium 15 115 0.3× 225 0.6× 437 1.2× 25 0.1× 193 1.0× 23 867
Sara Janssen Belgium 8 433 1.0× 116 0.3× 215 0.6× 113 0.5× 135 0.7× 11 674
A. Kurosky United States 8 76 0.2× 477 1.2× 391 1.1× 25 0.1× 248 1.3× 11 902
Daniel Tamasauskas United States 5 109 0.3× 172 0.4× 436 1.2× 21 0.1× 157 0.8× 5 621
M. Wolff Germany 11 114 0.3× 185 0.5× 98 0.3× 44 0.2× 49 0.3× 18 552
Isabella Andreini Italy 10 235 0.5× 89 0.2× 292 0.8× 58 0.3× 32 0.2× 14 525

Countries citing papers authored by Wayne C. H. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wayne C. H. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne C. H. 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 Wayne C. H. Wang. The network helps show where Wayne C. H. Wang may publish in the future.

Co-authorship network of co-authors of Wayne C. H. Wang

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

All Works

15 of 15 papers shown
1.
Wang, Wayne C. H., Dañelle C. Smith, Alfredo Panebra, et al.. (2014). Targeted transgenesis identifies Gαsas the bottleneck in β2-adrenergic receptor cell signaling and physiological function in airway smooth muscle. American Journal of Physiology-Lung Cellular and Molecular Physiology. 307(10). L775–L780. 8 indexed citations
2.
Fu, Chenglai, Anita van der Zwan, Wayne C. H. Wang, et al.. (2013). Screening assay for blood vessel maturation inhibitors. Biochemical and Biophysical Research Communications. 438(2). 364–369. 6 indexed citations
3.
An, Steven S., Wayne C. H. Wang, Cynthia Koziol‐White, et al.. (2012). TAS2R activation promotes airway smooth muscle relaxation despite β 2 -adrenergic receptor tachyphylaxis. American Journal of Physiology-Lung Cellular and Molecular Physiology. 303(4). L304–L311. 74 indexed citations
4.
An, Steven S., Kathryn S. Robinett, Deepak A. Deshpande, Wayne C. H. Wang, & Stephen B. Liggett. (2012). Reply to: Activation of BK channels may not be required for bitter tastant–induced bronchodilation. Nature Medicine. 18(5). 650–651. 17 indexed citations
5.
Wang, Wayne C. H., Aster H. Juan, Alfredo Panebra, & Stephen B. Liggett. (2011). MicroRNAlet-7establishes expression of β2-adrenergic receptors and dynamically down-regulates agonist-promoted down-regulation. Proceedings of the National Academy of Sciences. 108(15). 6246–6251. 36 indexed citations
6.
Deshpande, Deepak A., Wayne C. H. Wang, Kathryn S. Robinett, et al.. (2010). Bitter taste receptors on airway smooth muscle bronchodilate by localized calcium signaling and reverse obstruction. Nature Medicine. 16(11). 1299–1304. 496 indexed citations breakdown →
7.
Wang, Wayne C. H., et al.. (2010). Paradoxical attenuation of β2-AR function in airway smooth muscle by Gi-mediated counterregulation in transgenic mice overexpressing type 5 adenylyl cyclase. American Journal of Physiology-Lung Cellular and Molecular Physiology. 300(3). L472–L478. 10 indexed citations
8.
Wang, Wayne C. H., et al.. (2009). Targeted transgenesis reveals discrete attenuator functions of GRK and PKA in airway β 2 -adrenergic receptor physiologic signaling. Proceedings of the National Academy of Sciences. 106(35). 15007–15012. 32 indexed citations
9.
Wang, Wayne C. H., et al.. (2008). A polymorphism of G-protein coupled receptor kinase5 alters agonist-promoted desensitization of β2-adrenergic receptors. Pharmacogenetics and Genomics. 18(8). 729–732. 40 indexed citations
10.
McGraw, Dennis W., et al.. (2007). Crosstalk between Gi and Gq/Gs pathways in airway smooth muscle regulates bronchial contractility and relaxation. Journal of Clinical Investigation. 117(5). 1391–1398. 54 indexed citations
11.
Wang, Wayne C. H. & Cooduvalli S. Shashikant. (2007). Evidence for positive and negative regulation of the mouse Cdx2 gene. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 308B(3). 308–321. 20 indexed citations
12.
Wang, Wayne C. H., et al.. (2004). Comparative cis‐regulatory analyses identify new elements of the mouse Hoxc8 early enhancer. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 302B(5). 436–445. 9 indexed citations
13.
Anand, Sanjay, Wayne C. H. Wang, Jian Zhang, et al.. (2003). Divergence of Hoxc8 early enhancer parallels diverged axial morphologies between mammals and fishes. Proceedings of the National Academy of Sciences. 100(26). 15666–15669. 24 indexed citations
14.
Kim, Chang‐Bae, Cooduvalli S. Shashikant, Kenta Sumiyama, et al.. (2003). Phylogenetic analysis of the mammalian Hoxc8 non-coding region. Journal of Structural and Functional Genomics. 3(1-4). 195–199. 4 indexed citations
15.
Shashikant, Cooduvalli S., et al.. (1998). Comparative studies on mammalian Hoxc8 early enhancer sequence reveal a baleen whale-specific deletion of a cis-acting element. Proceedings of the National Academy of Sciences. 95(26). 15446–15451. 55 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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