Michael J. Previs

2.3k citations
49 papers · 1.6k · h-index 24

Impact in

Papers in

    • Cardiomyopathy and Myosin Studies 34
    • Cardiovascular Effects of Exercise 19
    • Cardiovascular Function and Risk Factors 4
    • Cardiac electrophysiology and arrhythmias 3
    • Muscle Physiology and Disorders 15
    • Metabolomics and Mass Spectrometry Studies 3

Michael J. Previs

46 papers receiving 1.6k citations

Peers

Michael J. Previs
Comparison fields: 5 of 110
  • Cardiology and Cardiovascular Medicine 1.0k
  • Structural Biology 20
  • Cell Biology 228
  • Molecular Biology 907
  • Aging 15
Replace Ivan Diakonov with:
Ivan Diakonov United Kingdom
Manuela Maffei Italy
M. A. Goldstein United States
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Olga Fedotovskaya Sweden
Lorenzo Marcucci Italy
Rui Gong China
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Michael J. Previs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael J. Previs Line = papers co-authored together Michael J. Previs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012144
2 2014132
3 2004130
4 2013103
5 201679
6 201174
7 201769
8 200966
9 201562
10 201956
11 202253
12 201943
13 200441
14 201840
15 201140
16 201939
17 201235
18 201834
19 200931
20 202130

About Michael J. Previs

Michael J. Previs is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cell Biology, Physiology and Ecology, Evolution, Behavior and Systematics, having authored 49 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (34 papers), Cardiovascular Effects of Exercise (19 papers), Muscle Physiology and Disorders (15 papers), Cardiovascular Function and Risk Factors (4 papers), Cellular Mechanics and Interactions (4 papers), Force Microscopy Techniques and Applications (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Structural Biology (20 citations), Cell Biology (228 citations), Molecular Biology (907 citations) and Aging (15 citations). Michael J. Previs has collaborated with scholars based in United States, United Kingdom and Germany. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biophysical Journal, Journal of Molecular and Cellular Cardiology, Nature Communications and The Journal of General Physiology.

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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