Peter M. Kekenes–Huskey

1.5k total citations
68 papers, 1.1k citations indexed

About

Peter M. Kekenes–Huskey is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Peter M. Kekenes–Huskey has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 28 papers in Cardiology and Cardiovascular Medicine and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Peter M. Kekenes–Huskey's work include Protein Structure and Dynamics (24 papers), Ion channel regulation and function (17 papers) and Cardiac electrophysiology and arrhythmias (16 papers). Peter M. Kekenes–Huskey is often cited by papers focused on Protein Structure and Dynamics (24 papers), Ion channel regulation and function (17 papers) and Cardiac electrophysiology and arrhythmias (16 papers). Peter M. Kekenes–Huskey collaborates with scholars based in United States, Norway and China. Peter M. Kekenes–Huskey's co-authors include J. Andrew McCammon, Steffen Lindert, Bin Sun, Changsun Eun, Andrew D. McCulloch, Johan Hake, Vincent T. Metzger, Anushka Michailova, Michael Holst and Piotr Setny and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Chemical Physics.

In The Last Decade

Peter M. Kekenes–Huskey

66 papers receiving 1.1k citations

Peers

Peter M. Kekenes–Huskey
Rǎzvan L. Cornea United States
Montserrat Samsó United States
Simone Furini Italy
Haipeng Gong China
Franck Travers France
Howard Kutchai United States
Johannes Schmidt Germany
Rodolfo Briones Germany
Monica X. Li Canada
G. Reid United Kingdom
Rǎzvan L. Cornea United States
Peter M. Kekenes–Huskey
Citations per year, relative to Peter M. Kekenes–Huskey Peter M. Kekenes–Huskey (= 1×) peers Rǎzvan L. Cornea

Countries citing papers authored by Peter M. Kekenes–Huskey

Since Specialization
Citations

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

Fields of papers citing papers by Peter M. Kekenes–Huskey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter M. Kekenes–Huskey. 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 Peter M. Kekenes–Huskey. The network helps show where Peter M. Kekenes–Huskey may publish in the future.

Co-authorship network of co-authors of Peter M. Kekenes–Huskey

This figure shows the co-authorship network connecting the top 25 collaborators of Peter M. Kekenes–Huskey. A scholar is included among the top collaborators of Peter M. Kekenes–Huskey 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 Peter M. Kekenes–Huskey. Peter M. Kekenes–Huskey 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.
Chun, Byeong Jae, et al.. (2024). Organelle Specific Macrophage Engineered Vesicles Differentially Reprogram Macrophage Polarization. Advanced Healthcare Materials. 13(30). e2401906–e2401906. 3 indexed citations
2.
Williams, Ryan Blake, Svetlana B. Tikunova, Yongjun Kou, et al.. (2023). Human disease-associated calmodulin mutations alter calcineurin function through multiple mechanisms. Cell Calcium. 113. 102752–102752. 2 indexed citations
3.
Schmeckpeper, Jeffrey, Maicon Landim-Vieira, Weikang Ma, et al.. (2023). Disruption of Z-Disc Function Promotes Mechanical Dysfunction in Human Myocardium: Evidence for a Dual Myofilament Modulatory Role by Alpha-Actinin 2. International Journal of Molecular Sciences. 24(19). 14572–14572. 2 indexed citations
4.
Hartle, Cassandra M., et al.. (2023). Prediction of Kv11.1 potassium channel PAS-domain variants trafficking via machine learning. Journal of Molecular and Cellular Cardiology. 180. 69–83. 2 indexed citations
5.
6.
Chun, Byeong Jae, et al.. (2023). Programming Cell‐Derived Vesicles with Enhanced Immunomodulatory Properties. Advanced Healthcare Materials. 12(27). e2301163–e2301163. 7 indexed citations
7.
Kekenes–Huskey, Peter M., Don E. Burgess, Bin Sun, et al.. (2022). Mutation-Specific Differences in Kv7.1 (KCNQ1) and Kv11.1 (KCNH2) Channel Dysfunction and Long QT Syndrome Phenotypes. International Journal of Molecular Sciences. 23(13). 7389–7389. 10 indexed citations
8.
Marques, Mayra A., Maicon Landim-Vieira, Adolfo H. Moraes, et al.. (2021). Anomalous structural dynamics of minimally frustrated residues in cardiac troponin C triggers hypertrophic cardiomyopathy. Chemical Science. 12(21). 7308–7323. 11 indexed citations
9.
Sun, Bin & Peter M. Kekenes–Huskey. (2020). Molecular Basis of S100A1 Activation and Target Regulation Within Physiological Cytosolic Ca2+ Levels. Frontiers in Molecular Biosciences. 7. 77–77. 13 indexed citations
10.
Chun, Byeong Jae, et al.. (2018). Simulation of P2X‐mediated calcium signalling in microglia. The Journal of Physiology. 597(3). 799–818. 20 indexed citations
11.
Shen, Xin, Yufeng Hou, Terje R. Kolstad, et al.. (2018). 3D dSTORM imaging reveals novel detail of ryanodine receptor localization in rat cardiac myocytes. The Journal of Physiology. 597(2). 399–418. 40 indexed citations
12.
Kekenes–Huskey, Peter M., et al.. (2016). Molecular Dynamics Study of Divalent Ion Coordination in EF Hand Proteins. Biophysical Journal. 110(3). 209a–209a.
13.
Cheng, Yuanhua, Steffen Lindert, Peter M. Kekenes–Huskey, et al.. (2014). Computational Studies of the Effect of the S23D/S24D Troponin I Mutation on Cardiac Troponin Structural Dynamics. Biophysical Journal. 107(7). 1675–1685. 45 indexed citations
14.
Hake, Johan, Peter M. Kekenes–Huskey, & Andrew D. McCulloch. (2014). Computational modeling of subcellular transport and signaling. Current Opinion in Structural Biology. 25. 92–97. 13 indexed citations
15.
Metzger, Vincent T., Changsun Eun, Peter M. Kekenes–Huskey, Gary Huber, & J. Andrew McCammon. (2014). Electrostatic Channeling in P. falciparum DHFR-TS: Brownian Dynamics and Smoluchowski Modeling. Biophysical Journal. 107(10). 2394–2402. 20 indexed citations
16.
Kekenes–Huskey, Peter M., Tao Liao, Andrew Gillette, et al.. (2013). Molecular and Subcellular-Scale Modeling of Nucleotide Diffusion in the Cardiac Myofilament Lattice. Biophysical Journal. 105(9). 2130–2140. 19 indexed citations
17.
Kekenes–Huskey, Peter M., Andrew Gillette, Johan Hake, & J. Andrew McCammon. (2012). Finite-element estimation of protein–ligand association rates with post-encounter effects: applications to calcium binding in troponin C and SERCA. PubMed. 5(1). 14015–14015. 17 indexed citations
18.
Cheng, Yuhui, Peter M. Kekenes–Huskey, Michael Holst, J. Andrew McCammon, & Anushka Michailova. (2012). How Spatiotemporal Clustering of L-Type Ca2+ Channels Regulates Ca2+ Signals in Rat Ventricular Myocytes?. Biophysical Journal. 102(3). 551a–551a. 1 indexed citations
19.
Kekenes–Huskey, Peter M., et al.. (2012). Multi-scale continuum modeling of biological processes: from molecular electro-diffusion to sub-cellular signaling transduction. PubMed. 5(1). 15002–15002. 5 indexed citations
20.
Kekenes–Huskey, Peter M.. (2009). A Monte Carlo-Based Torsion Construction Algorithm for Ligand Design. The Musical Quarterly. 1 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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