Michael S. Kapiloff

5.4k total citations
75 papers, 4.3k citations indexed

About

Michael S. Kapiloff is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael S. Kapiloff has authored 75 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 30 papers in Cardiology and Cardiovascular Medicine and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michael S. Kapiloff's work include Signaling Pathways in Disease (24 papers), Cardiomyopathy and Myosin Studies (18 papers) and Protein Kinase Regulation and GTPase Signaling (11 papers). Michael S. Kapiloff is often cited by papers focused on Signaling Pathways in Disease (24 papers), Cardiomyopathy and Myosin Studies (18 papers) and Protein Kinase Regulation and GTPase Signaling (11 papers). Michael S. Kapiloff collaborates with scholars based in United States, Panama and Australia. Michael S. Kapiloff's co-authors include Kimberly L. Dodge‐Kafka, Michael G. Rosenfeld, John D. Scott, Jinliang Li, Geneviève C. Paré, Holly A. Ingraham, Vivian R. Albert, Jennifer J. Carlisle Michel, Phyllis I. Hanson and Howard Schulman and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Michael S. Kapiloff

72 papers receiving 4.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael S. Kapiloff 3.5k 954 677 549 471 75 4.3k
Enno Klußmann 3.5k 1.0× 415 0.4× 386 0.6× 169 0.3× 228 0.5× 92 4.1k
Peter M. Snyder 5.3k 1.5× 319 0.3× 761 1.1× 938 1.7× 506 1.1× 69 6.3k
Sabine Sewing 2.1k 0.6× 482 0.5× 929 1.4× 600 1.1× 314 0.7× 40 3.0k
Peter Chidiac 2.7k 0.8× 359 0.4× 1.0k 1.5× 188 0.3× 157 0.3× 75 3.4k
Karsten Spicher 2.2k 0.6× 252 0.3× 992 1.5× 246 0.4× 217 0.5× 58 3.1k
Trudy A. Kohout 3.1k 0.9× 469 0.5× 1.6k 2.4× 191 0.3× 117 0.2× 34 3.8k
Brian E. Hawes 4.1k 1.2× 276 0.3× 1.6k 2.4× 414 0.8× 247 0.5× 71 5.7k
Rameshwar K. Sharma 2.7k 0.8× 682 0.7× 1.4k 2.0× 454 0.8× 160 0.3× 148 3.8k
Cristina Murga 2.5k 0.7× 285 0.3× 626 0.9× 180 0.3× 116 0.2× 52 3.2k
Masumi Eto 3.1k 0.9× 802 0.8× 285 0.4× 243 0.4× 130 0.3× 80 4.2k

Countries citing papers authored by Michael S. Kapiloff

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Kapiloff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Kapiloff. 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 Michael S. Kapiloff. The network helps show where Michael S. Kapiloff may publish in the future.

Co-authorship network of co-authors of Michael S. Kapiloff

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Kapiloff. A scholar is included among the top collaborators of Michael S. Kapiloff 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 Michael S. Kapiloff. Michael S. Kapiloff 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.
Dodge‐Kafka, Kimberly L., et al.. (2025). β-Adrenergic Receptors: Not Always Outside-In. Physiology. 41(2). 122–134.
2.
Li, Xueyi, et al.. (2024). Protein phosphatase 2A anchoring disruptor gene therapy for familial dilated cardiomyopathy. Molecular Therapy — Methods & Clinical Development. 32(2). 101233–101233.
3.
Xia, Xin, Christina Tsien, Lili Xie, et al.. (2024). Ca2+/Calmodulin-Dependent Protein Kinase II Enhances Retinal Ganglion Cell Survival But Suppresses Axon Regeneration after Optic Nerve Injury. eNeuro. 11(3). ENEURO.0478–23.2024. 3 indexed citations
4.
Yanucil, Christopher, Dominik Kentrup, Xueyi Li, et al.. (2022). FGF21-FGFR4 signaling in cardiac myocytes promotes concentric cardiac hypertrophy in mouse models of diabetes. Scientific Reports. 12(1). 7326–7326. 19 indexed citations
5.
Martinez, Eliana C., Jinliang Li, Jennifer Arthur Ataam, et al.. (2022). Targeting mAKAPβ expression as a therapeutic approach for ischemic cardiomyopathy. Gene Therapy. 30(7-8). 543–551. 6 indexed citations
6.
Yanucil, Christopher, Dominik Kentrup, Brian Czaya, et al.. (2022). Soluble α-klotho and heparin modulate the pathologic cardiac actions of fibroblast growth factor 23 in chronic kidney disease. Kidney International. 102(2). 261–279. 32 indexed citations
7.
Xia, Xin, Caroline Yu, Minjuan Bian, et al.. (2020). MEF2 transcription factors differentially contribute to retinal ganglion cell loss after optic nerve injury. PLoS ONE. 15(12). e0242884–e0242884. 8 indexed citations
8.
Levitas, Aviva, Emad Muhammad, Yuan Zhang, et al.. (2020). A Novel Recessive Mutation in SPEG Causes Early Onset Dilated Cardiomyopathy. PLoS Genetics. 16(9). e1009000–e1009000. 21 indexed citations
9.
Kapiloff, Michael S. & Tomasz Boczek. (2019). Compartmentalization of local cAMP signaling in neuronal growth and survival. Neural Regeneration Research. 15(3). 453–453. 9 indexed citations
10.
Dodge‐Kafka, Kimberly L., et al.. (2018). Bidirectional regulation of HDAC5 by mAKAPβ signalosomes in cardiac myocytes. Journal of Molecular and Cellular Cardiology. 118. 13–25. 11 indexed citations
11.
Stiles, Travis L., Michael S. Kapiloff, & Jeffrey L. Goldberg. (2014). The role of soluble adenylyl cyclase in neurite outgrowth. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1842(12). 2561–2568. 22 indexed citations
12.
Passariello, Catherine, Jinliang Li, Kimberly L. Dodge‐Kafka, & Michael S. Kapiloff. (2014). mAKAP—A Master Scaffold for Cardiac Remodeling. Journal of Cardiovascular Pharmacology. 65(3). 218–225. 45 indexed citations
13.
Li, Jinliang, et al.. (2012). Regulation of MEF2 transcriptional activity by calcineurin/mAKAP complexes. Experimental Cell Research. 319(4). 447–454. 35 indexed citations
14.
15.
Li, Jinliang, et al.. (2009). The mAKAPβ scaffold regulates cardiac myocyte hypertrophy via recruitment of activated calcineurin. Journal of Molecular and Cellular Cardiology. 48(2). 387–394. 61 indexed citations
16.
Michel, Jennifer J. Carlisle, Ian K. Townley, Kimberly L. Dodge‐Kafka, et al.. (2005). Spatial Restriction of PDK1 Activation Cascades by Anchoring to mAKAPα. Molecular Cell. 20(5). 661–672. 55 indexed citations
17.
Paré, Geneviève C., Juliet Easlick, John M.K. Mislow, Elizabeth M. McNally, & Michael S. Kapiloff. (2004). Nesprin-1α contributes to the targeting of mAKAP to the cardiac myocyte nuclear envelope. Experimental Cell Research. 303(2). 388–399. 100 indexed citations
18.
Paré, Geneviève C., et al.. (2004). A novel isoform of Cbl-associated protein that binds protein kinase A. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1727(2). 145–149. 13 indexed citations
19.
Kapiloff, Michael S.. (2002). Contributions of Protein Kinase A Anchoring Proteins to Compartmentation of cAMP Signaling in the Heart. Molecular Pharmacology. 62(2). 193–199. 38 indexed citations
20.
Ingraham, Holly A., Vivian R. Albert, Rui Chen, et al.. (1990). A Family of POU-Domain and Pit-1 Tissue-Specific Transcription Factors in Pituitary and Neuroendocrine Development. Annual Review of Physiology. 52(1). 773–791. 103 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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