Michael J. Previs

2.3k total citations
49 papers, 1.6k citations indexed

About

Michael J. Previs is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cell Biology. According to data from OpenAlex, Michael J. Previs has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cardiology and Cardiovascular Medicine, 29 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Michael J. Previs's work include Cardiomyopathy and Myosin Studies (34 papers), Cardiovascular Effects of Exercise (19 papers) and Muscle Physiology and Disorders (15 papers). Michael J. Previs is often cited by papers focused on Cardiomyopathy and Myosin Studies (34 papers), Cardiovascular Effects of Exercise (19 papers) and Muscle Physiology and Disorders (15 papers). Michael J. Previs collaborates with scholars based in United States, United Kingdom and Germany. Michael J. Previs's co-authors include David M. Warshaw, Jeffrey Robbins, Samantha Beck Previs, James Gulick, Michael J. Toth, Dwight E. Matthews, Roger Craig, Ji Young Mun, Russell P. Tracy and Sakthivel Sadayappan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Michael J. Previs

46 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Previs United States 24 1.0k 907 228 176 105 49 1.6k
Charles S. Chung United States 24 1.1k 1.1× 501 0.6× 150 0.7× 55 0.3× 157 1.5× 63 1.6k
Gerrie P. Farman United States 24 1.4k 1.4× 884 1.0× 147 0.6× 43 0.2× 135 1.3× 39 1.7k
M. A. Goldstein United States 20 567 0.6× 619 0.7× 205 0.9× 182 1.0× 119 1.1× 42 1.2k
Franklin Fuchs United States 24 1.3k 1.3× 1.0k 1.1× 176 0.8× 133 0.8× 406 3.9× 55 2.0k
Oliver H. Wittekindt Germany 20 232 0.2× 742 0.8× 163 0.7× 135 0.8× 73 0.7× 41 1.4k
Andrew Atkinson United Kingdom 19 560 0.5× 512 0.6× 42 0.2× 151 0.9× 44 0.4× 52 1.3k
Manuela Maffei Italy 10 219 0.2× 390 0.4× 149 0.7× 180 1.0× 79 0.8× 14 671
Peter Wright United Kingdom 17 881 0.9× 519 0.6× 79 0.3× 54 0.3× 38 0.4× 29 1.4k
Richard W. Mitchell United States 19 111 0.1× 411 0.5× 166 0.7× 456 2.6× 125 1.2× 48 1.1k
Ivan Diakonov United Kingdom 14 683 0.7× 433 0.5× 125 0.5× 123 0.7× 56 0.5× 28 1.4k

Countries citing papers authored by Michael J. Previs

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Previs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Previs

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Previs. A scholar is included among the top collaborators of Michael J. Previs 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 J. Previs. Michael J. Previs 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.
Mead, Andrew F., Shane R. Nelson, Bradley M. Palmer, et al.. (2024). Functional role of myosin-binding protein H in thick filaments of developing vertebrate fast-twitch skeletal muscle. The Journal of General Physiology. 156(12).
2.
Barefield, David Y., Paola Tonino, Kathleen C. Woulfe, et al.. (2023). Myosin-binding protein H-like regulates myosin-binding protein distribution and function in atrial cardiomyocytes. Proceedings of the National Academy of Sciences. 120(51). e2314920120–e2314920120. 4 indexed citations
3.
Adam, Iris, et al.. (2023). Daily vocal exercise is necessary for peak performance singing in a songbird. Nature Communications. 14(1). 7787–7787. 10 indexed citations
4.
Savastano, Adriana, Zhu Liu, Michael J. Previs, et al.. (2022). The pathogenic R5L mutation disrupts formation of Tau complexes on the microtubule by altering local N-terminal structure. Proceedings of the National Academy of Sciences. 119(7). 9 indexed citations
5.
Riley, Lance A., Xiping Zhang, Collin M. Douglas, et al.. (2022). The skeletal muscle circadian clock regulates titin splicing through RBM20. eLife. 11. 13 indexed citations
6.
Zhao, Yan-Ting, Yu‐Wei Wu, Daniel L. Matera, et al.. (2021). Physiologic biomechanics enhance reproducible contractile development in a stem cell derived cardiac muscle platform. Nature Communications. 12(1). 6167–6167. 30 indexed citations
7.
Dostmann, Wolfgang R., Joel W. Martin, Michael J. Previs, et al.. (2021). SERCA2a-phospholamban interaction monitored by an interposed circularly permutated green fluorescent protein. American Journal of Physiology-Heart and Circulatory Physiology. 320(6). H2188–H2200. 3 indexed citations
8.
Taylor, Dianne W., et al.. (2020). CryoEM structure ofDrosophilaflight muscle thick filaments at 7 Å resolution. Life Science Alliance. 3(8). e202000823–e202000823. 21 indexed citations
9.
Li, Amy, Shane R. Nelson, Filip Braet, et al.. (2019). Skeletal MyBP-C isoforms tune the molecular contractility of divergent skeletal muscle systems. Proceedings of the National Academy of Sciences. 116(43). 21882–21892. 29 indexed citations
10.
Robert‐Paganin, Julien, James P. Robblee, Daniel Auguin, et al.. (2019). Plasmodium myosin A drives parasite invasion by an atypical force generating mechanism. Nature Communications. 10(1). 3286–3286. 39 indexed citations
11.
Helms, Adam, Vi T. Tang, Thomas S. O’Leary, et al.. (2019). Effects of MYBPC3 loss-of-function mutations preceding hypertrophic cardiomyopathy. JCI Insight. 5(2). 56 indexed citations
12.
Li, Amy, Shane R. Nelson, Kyoung Hwan Lee, et al.. (2017). Skeletal Myosin-Binding Protein C Modulates Actomyosin Contractility in an Isoform-Dependent Manner. Biophysical Journal. 112(3). 117a–117a. 1 indexed citations
13.
Blair, Cheavar A., et al.. (2017). Omecamtiv Mecarbil Enhances the Duty Ratio of Human β-Cardiac Myosin Resulting in Increased Calcium Sensitivity and Slowed Force Development in Cardiac Muscle. Journal of Biological Chemistry. 292(9). 3768–3778. 69 indexed citations
14.
Previs, Michael J., et al.. (2015). Modifications of myofilament protein phosphorylation and function in response to cardiac arrest induced in a swine model. Frontiers in Physiology. 6. 199–199. 4 indexed citations
15.
Previs, Michael J., Arthur J. Michalek, & David M. Warshaw. (2014). Molecular modulation of actomyosin function by cardiac myosin-binding protein C. Pflügers Archiv - European Journal of Physiology. 466(3). 439–444. 19 indexed citations
16.
17.
Previs, Michael J., Samantha Beck Previs, Jeffery Robbins, & David M. Warshaw. (2011). Cardiac Myosin Binding Protein-C (MYBP-C) Impedes Actin Filament Motility on Native Mouse Ventricular Thick Filaments Only Within the C-Zone. Biophysical Journal. 100(3). 370a–370a. 2 indexed citations
18.
Sladewski, Thomas E., Michael J. Previs, & Matthew Lord. (2009). Regulation of Fission Yeast Myosin-II Function and Contractile Ring Dynamics by Regulatory Light-Chain and Heavy-Chain Phosphorylation. Molecular Biology of the Cell. 20(17). 3941–3952. 31 indexed citations
19.
Rachdaoui, Nadia, Eric M. Kramer, Michael J. Previs, et al.. (2009). Measuring Proteome Dynamics in Vivo. Molecular & Cellular Proteomics. 8(12). 2653–2663. 66 indexed citations
20.
Toth, Michael J., Dwight E. Matthews, Russell P. Tracy, & Michael J. Previs. (2004). Age-related differences in skeletal muscle protein synthesis: relation to markers of immune activation. American Journal of Physiology-Endocrinology and Metabolism. 288(5). E883–E891. 130 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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