Owen B. McManus

7.4k total citations
93 papers, 4.8k citations indexed

About

Owen B. McManus is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Owen B. McManus has authored 93 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 37 papers in Cardiology and Cardiovascular Medicine and 36 papers in Cellular and Molecular Neuroscience. Recurrent topics in Owen B. McManus's work include Ion channel regulation and function (54 papers), Cardiac electrophysiology and arrhythmias (37 papers) and Nicotinic Acetylcholine Receptors Study (17 papers). Owen B. McManus is often cited by papers focused on Ion channel regulation and function (54 papers), Cardiac electrophysiology and arrhythmias (37 papers) and Nicotinic Acetylcholine Receptors Study (17 papers). Owen B. McManus collaborates with scholars based in United States, Japan and China. Owen B. McManus's co-authors include Karl L. Magleby, María L. García, Gregory J. Kaczorowski, Kathleen M. Giangiacomo, Manuel Sánchez, Reid J. Leonard, A.L. Blatz, Lisa M. H. Helms, Leo J. Pallanck and Richard Swanson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Owen B. McManus

92 papers receiving 4.6k citations

Peers

Owen B. McManus
Peter Hess United States
Michael Fill United States
Ligia Toro United States
Stephen B. Long United States
Noriaki Ikemoto United States
Owen B. McManus
Citations per year, relative to Owen B. McManus Owen B. McManus (= 1×) peers Michel Fink

Countries citing papers authored by Owen B. McManus

Since Specialization
Citations

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

Fields of papers citing papers by Owen B. McManus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Owen B. McManus. 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 Owen B. McManus. The network helps show where Owen B. McManus may publish in the future.

Co-authorship network of co-authors of Owen B. McManus

This figure shows the co-authorship network connecting the top 25 collaborators of Owen B. McManus. A scholar is included among the top collaborators of Owen B. McManus 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 Owen B. McManus. Owen B. McManus 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.
Zhang, Hongkang, Christopher A. Werley, Steven J. Ryan, et al.. (2023). A phenotypic screening platform for chronic pain therapeutics using all-optical electrophysiology. Pain. 165(4). 922–940. 3 indexed citations
2.
Simkin, Dina, Bernabé I. Bustos, Christina M. Ambrosi, et al.. (2022). Homozygous might be hemizygous: CRISPR/Cas9 editing in iPSCs results in detrimental on-target defects that escape standard quality controls. Stem Cell Reports. 17(4). 993–1008. 36 indexed citations
3.
Simkin, Dina, Christina M. Ambrosi, Luis A. Williams, et al.. (2022). ‘Channeling’ therapeutic discovery for epileptic encephalopathy through iPSC technologies. Trends in Pharmacological Sciences. 43(5). 392–405. 14 indexed citations
4.
Zhang, Hongkang, Dawei Zhang, Adam S. Barnett, et al.. (2022). Highly Parallelized, Multicolor Optogenetic Recordings of Cellular Activity for Therapeutic Discovery Applications in Ion Channels and Disease-Associated Excitable Cells. Frontiers in Molecular Neuroscience. 15. 896320–896320. 2 indexed citations
5.
Zhang, Hongkang, Bryan D. Moyer, Violeta Yu, et al.. (2020). Correlation of Optical and Automated Patch Clamp Electrophysiology for Identification of NaV1.7 Inhibitors. SLAS DISCOVERY. 25(5). 434–446. 4 indexed citations
6.
Coussens, Nathan P., G. Sitta Sittampalam, Matthew D. Hall, et al.. (2019). The Opioid Crisis and the Future of Addiction and Pain Therapeutics. Journal of Pharmacology and Experimental Therapeutics. 371(2). 396–408. 68 indexed citations
7.
Williams, Luis A., Michael P. Murphy, Christopher A. Werley, et al.. (2019). Scalable Measurements of Intrinsic Excitability in Human iPS Cell-Derived Excitatory Neurons Using All-Optical Electrophysiology. Neurochemical Research. 44(3). 714–725. 11 indexed citations
8.
McManus, Owen B. & Dyke P. McEwen. (2015). Measuring Neurite Dynamics In Vitro. Genetic Engineering & Biotechnology News. 35(4). 14–15. 1 indexed citations
9.
McManus, Owen B. & Brad S. Rothberg. (2014). An old probe sheds new light on BK channel pore structure. The Journal of General Physiology. 144(6). 499–501. 3 indexed citations
10.
Zhang, Hongkang, Beiyan Zou, Haibo Yu, et al.. (2012). Modulation of hERG potassium channel gating normalizes action potential duration prolonged by dysfunctional KCNQ1 potassium channel. Proceedings of the National Academy of Sciences. 109(29). 11866–11871. 46 indexed citations
11.
Herrington, James, Kelli Solly, Kevin S. Ratliff, et al.. (2011). Identification of Novel and Selective KV2 Channel Inhibitors. Molecular Pharmacology. 80(6). 959–964. 18 indexed citations
12.
Zou, Beiyan, et al.. (2010). Profiling Diverse Compounds by Flux- and Electrophysiology-Based Primary Screens for Inhibition of Human Ether-à-go-go Related Gene Potassium Channels. Assay and Drug Development Technologies. 8(6). 743–754. 23 indexed citations
13.
Ratliff, Kevin S., Aleksandr Petrov, George J. Eiermann, et al.. (2008). An Automated Electrophysiology Serum Shift Assay for K V Channels. Assay and Drug Development Technologies. 6(2). 243–253. 6 indexed citations
14.
Dai, Ge, Rodolfo Haedo, Vivien A. Warren, et al.. (2008). A High-Throughput Assay for Evaluating State Dependence and Subtype Selectivity of Cav2 Calcium Channel Inhibitors. Assay and Drug Development Technologies. 6(2). 195–212. 43 indexed citations
15.
Kaczorowski, Gregory J., et al.. (1996). High-conductance calcium-activated potassium channels; Structure, pharmacology, and function. Journal of Bioenergetics and Biomembranes. 28(3). 255–267. 265 indexed citations
16.
Sánchez, Manuel & Owen B. McManus. (1996). Paxilline Inhibition of the Alpha-subunit of the High-conductance Calcium-activated Potassium Channel. Neuropharmacology. 35(7). 963–968. 196 indexed citations
17.
Ferguson, William B., Owen B. McManus, & Karl L. Magleby. (1993). Opening and closing transitions for BK channels often occur in two steps via sojourns through a brief lifetime subconductance state. Biophysical Journal. 65(2). 702–714. 37 indexed citations
18.
McManus, Owen B., Guy H. Harris, Kathleen M. Giangiacomo, et al.. (1993). An activator of calcium-dependent potassium channels isolated from a medicinal herb. Biochemistry. 32(24). 6128–6133. 151 indexed citations
19.
McManus, Owen B. & Karl L. Magleby. (1989). Kinetic time constants independent of previous single-channel activity suggest Markov gating for a large conductance Ca-activated K channel.. The Journal of General Physiology. 94(6). 1037–1070. 64 indexed citations
20.
McManus, Owen B., David S. Weiss, C.E. Spivak, A.L. Blatz, & Karl L. Magleby. (1988). Fractal models are inadequate for the kinetics of four different ion channels. Biophysical Journal. 54(5). 859–870. 70 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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