Runying Yang

1.1k total citations
29 papers, 606 citations indexed

About

Runying Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Runying Yang has authored 29 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Runying Yang's work include Ion channel regulation and function (12 papers), Cardiac electrophysiology and arrhythmias (10 papers) and Neuroscience and Neuropharmacology Research (8 papers). Runying Yang is often cited by papers focused on Ion channel regulation and function (12 papers), Cardiac electrophysiology and arrhythmias (10 papers) and Neuroscience and Neuropharmacology Research (8 papers). Runying Yang collaborates with scholars based in United States, Canada and Denmark. Runying Yang's co-authors include Harley T. Kurata, Xiu-Bao Chang, Luz María Martínez, Jorge Nieto‐Sotelo, Wei Li, Li Zhang, Catherine F. Poh, D S MacDonald-Jankowski, Robert Meeley and Jean‐Marcel Ribaut and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Runying Yang

28 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runying Yang United States 13 427 119 97 96 95 29 606
Bin Deng China 12 122 0.3× 30 0.3× 31 0.3× 19 0.2× 17 0.2× 19 443
Linlin Yuan China 14 304 0.7× 30 0.3× 36 0.4× 5 0.1× 126 1.3× 36 639
A.F. Prigent France 14 239 0.6× 86 0.7× 34 0.4× 2 0.0× 24 0.3× 29 590
Kyoko Udaka Japan 8 186 0.4× 35 0.3× 22 0.2× 5 0.1× 123 1.3× 13 440
P van der Bijl South Africa 9 301 0.7× 21 0.2× 31 0.3× 13 0.1× 17 0.2× 24 474
Bianca Hoffmann Germany 14 459 1.1× 107 0.9× 28 0.3× 1 0.0× 39 0.4× 26 755
Miriam S. Moraes Brazil 16 287 0.7× 27 0.2× 35 0.4× 2 0.0× 26 0.3× 30 582
Cristina Carreño Spain 17 248 0.6× 69 0.6× 55 0.6× 12 0.1× 30 624
Thomas P. Kemmer Germany 13 273 0.6× 75 0.6× 48 0.5× 2 0.0× 16 0.2× 24 516
Zhiyun Guo China 14 419 1.0× 20 0.2× 37 0.4× 38 0.4× 35 624

Countries citing papers authored by Runying Yang

Since Specialization
Citations

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

Fields of papers citing papers by Runying Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runying Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Runying Yang. A scholar is included among the top collaborators of Runying Yang 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 Runying Yang. Runying Yang 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.
Mukherjee, Angana, et al.. (2025). ERK signaling promotes IKKε expression and oncogenic functions in pancreatic cancer cells in association with TBK1. Journal of Biological Chemistry. 301(9). 110535–110535. 1 indexed citations
2.
3.
Waters, Andrew M., Clint A. Stalnecker, Runying Yang, et al.. (2023). Abstract 1075: Identification of resistance mechanisms to direct KRAS inhibition in pancreatic cancer. Cancer Research. 83(7_Supplement). 1075–1075. 1 indexed citations
4.
Goodwin, Craig M., Andrew M. Waters, Bjoern Papke, et al.. (2019). Abstract LB-287: Combination therapies with CDK4/6 inhibitors to treat KRAS-mutant pancreatic cancer. Cancer Research. 79(13_Supplement). LB–287. 1 indexed citations
5.
Li, Jingru, et al.. (2018). One drug-sensitive subunit is sufficient for a near-maximal retigabine effect in KCNQ channels. The Journal of General Physiology. 150(10). 1421–1431. 10 indexed citations
6.
Yang, Runying, et al.. (2018). Four drug-sensitive subunits are required for maximal effect of a voltage sensor–targeted KCNQ opener. The Journal of General Physiology. 150(10). 1432–1443. 16 indexed citations
7.
Yang, Runying, et al.. (2018). Slc7a5 regulates Kv1.2 channels and modifies functional outcomes of epilepsy-linked channel mutations. Nature Communications. 9(1). 4417–4417. 29 indexed citations
8.
Sandoval‐Motta, Santiago, Claudia Martínez‐Anaya, Runying Yang, et al.. (2015). Complex regulation of Hsf1-Skn7 activities by the catalytic subunits of PKA in Saccharomyces cerevisiae: experimental and computational evidences. BMC Systems Biology. 9(1). 42–42. 5 indexed citations
9.
Pless, Stephan A., et al.. (2015). A Conserved Residue Cluster That Governs Kinetics of ATP-dependent Gating of Kir6.2 Potassium Channels. Journal of Biological Chemistry. 290(25). 15450–15461. 7 indexed citations
10.
Brigidi, G. Stefano, et al.. (2015). Use-Dependent Activation of Neuronal Kv1.2 Channel Complexes. Journal of Neuroscience. 35(8). 3515–3524. 16 indexed citations
11.
Yang, Runying, et al.. (2013). Decomposition of Slide Helix Contributions to ATP-dependent Inhibition of Kir6.2 Channels. Journal of Biological Chemistry. 288(32). 23038–23049. 11 indexed citations
12.
Yang, Runying, et al.. (2011). Glutamine residues in Q-loops of multidrug resistance protein MRP1 contribute to ATP binding via interaction with metal cofactor. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1808(7). 1790–1796. 12 indexed citations
13.
Yang, Runying, et al.. (2011). Forced Gating Motions by a Substituted Titratable Side Chain at the Bundle Crossing of a Potassium Channel. Journal of Biological Chemistry. 286(42). 36686–36693. 7 indexed citations
14.
Yang, Runying, et al.. (2010). Dentigerous cyst: a retrospective clinicopathological analysis of 2082 dentigerous cysts in British Columbia, Canada. International Journal of Oral and Maxillofacial Surgery. 39(9). 878–882. 97 indexed citations
15.
Galm, Ute, Liyan Wang, Evelyn Wendt-Pienkowski, et al.. (2008). In Vivo Manipulation of the Bleomycin Biosynthetic Gene Cluster in Streptomyces verticillus ATCC15003 Revealing New Insights into Its Biosynthetic Pathway. Journal of Biological Chemistry. 283(42). 28236–28245. 35 indexed citations
16.
17.
Yang, Runying, et al.. (2007). The hydroxyl group of S685 in Walker A motif and the carboxyl group of D792 in Walker B motif of NBD1 play a crucial role for multidrug resistance protein folding and function. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1778(2). 454–465. 9 indexed citations
18.
19.
Yang, Runying, Ali McBride, Yue-xian Hou, Aaron D. Goldberg, & Xiu-Bao Chang. (2005). Nucleotide dissociation from NBD1 promotes solute transport by MRP1. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1668(2). 248–261. 19 indexed citations
20.

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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