Y Qu

602 total citations
9 papers, 460 citations indexed

About

Y Qu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Y Qu has authored 9 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Y Qu's work include Cardiac electrophysiology and arrhythmias (6 papers), Ion channel regulation and function (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Y Qu is often cited by papers focused on Cardiac electrophysiology and arrhythmias (6 papers), Ion channel regulation and function (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Y Qu collaborates with scholars based in United States, China and Hong Kong. Y Qu's co-authors include Todd Scheuer, J C Rogers, Harold C. Strauss, D L Campbell, Randall L. Rasmusson, T. Tanada, W A Catterall, William A. Catterall, A. Richard Whorton and Ruifa Han and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Physiology and The Journal of General Physiology.

In The Last Decade

Y Qu

8 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Y Qu United States	7	426	324	238	27	22	9	460
Michael F. Netter Germany	12	464 1.1×	301 0.9×	155 0.7×	20 0.7×	22 1.0×	16	563
Akihiro Saigusa Japan	5	536 1.3×	335 1.0×	372 1.6×	15 0.6×	19 0.9×	6	619
Frank S. Choveau France	11	364 0.9×	242 0.7×	233 1.0×	11 0.4×	19 0.9×	18	418
Allan J. Levi United Kingdom	15	616 1.4×	660 2.0×	319 1.3×	18 0.7×	25 1.1×	29	766
Shun‐ichi Miyamae Japan	4	474 1.1×	396 1.2×	339 1.4×	10 0.4×	19 0.9×	8	548
Volker Haufe Germany	9	413 1.0×	361 1.1×	163 0.7×	14 0.5×	26 1.2×	9	502
R. Bangalore United States	8	363 0.9×	204 0.6×	218 0.9×	5 0.2×	37 1.7×	9	415
Hariolf Fritzenschaft Germany	4	382 0.9×	172 0.5×	185 0.8×	15 0.6×	25 1.1×	4	420
Anne Blaich Germany	8	322 0.8×	252 0.8×	131 0.6×	6 0.2×	34 1.5×	8	383
Zuzana Kubalová Slovakia	7	508 1.2×	505 1.6×	161 0.7×	9 0.3×	11 0.5×	8	576

Countries citing papers authored by Y Qu

Since Specialization

Citations

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

Fields of papers citing papers by Y Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y Qu. 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 Y Qu. The network helps show where Y Qu may publish in the future.

Co-authorship network of co-authors of Y Qu

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

All Works

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9 of 9 papers shown

Mi, K., et al.. (2025). Using optimized CT type to predict histological classifications of thymic epithelial tumors: a radiomics integrated analysis. Insights into Imaging. 16(1). 67–67.

Qu, Y, et al.. (2014). Anti-inflammation and anti-fiborosis actions of resveratrol on in vitro pneumoconiosis model. Planta Medica. 80(10). 1 indexed citations

Qu, Y, et al.. (2009). Synergistic effects of α‐1,2‐fucosyltransferase, DAF, and CD59 in suppression of xenogenic immunological responses. Xenotransplantation. 16(1). 27–33. 7 indexed citations

Qu, Y, et al.. (1996). Phosphorylation of S1505 in the cardiac Na+ channel inactivation gate is required for modulation by protein kinase C.. The Journal of General Physiology. 108(5). 375–379. 68 indexed citations

Qu, Y, J C Rogers, T. Tanada, Todd Scheuer, & W A Catterall. (1995). Molecular determinants of drug access to the receptor site for antiarrhythmic drugs in the cardiac Na+ channel.. Proceedings of the National Academy of Sciences. 92(25). 11839–11843. 102 indexed citations

Qu, Y, J C Rogers, T. Tanada, Todd Scheuer, & William A. Catterall. (1994). Modulation of cardiac Na+ channels expressed in a mammalian cell line and in ventricular myocytes by protein kinase C.. Proceedings of the National Academy of Sciences. 91(8). 3289–3293. 99 indexed citations

Campbell, D L, Randall L. Rasmusson, Y Qu, & Harold C. Strauss. (1993). The calcium-independent transient outward potassium current in isolated ferret right ventricular myocytes. I. Basic characterization and kinetic analysis.. The Journal of General Physiology. 101(4). 571–601. 87 indexed citations

Campbell, D L, Y Qu, Randall L. Rasmusson, & Harold C. Strauss. (1993). The calcium-independent transient outward potassium current in isolated ferret right ventricular myocytes. II. Closed state reverse use-dependent block by 4-aminopyridine.. The Journal of General Physiology. 101(4). 603–626. 76 indexed citations

Qu, Y, D L Campbell, A. Richard Whorton, & Harold C. Strauss. (1993). Modulation of basal L‐type Ca2+ current by adenosine in ferret isolated right ventricular myocytes.. The Journal of Physiology. 471(1). 269–293. 20 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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