Steven R. Houser
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- Cardiac electrophysiology and arrhythmias 92
- Cardiovascular Function and Risk Factors 31
- Cardiac Fibrosis and Remodeling 29
- Cardiovascular Effects of Exercise 25
- Cardiomyopathy and Myosin Studies 23
- Molecular Biology top 0.5%
- Ion channel regulation and function 69
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- Neuroscience and Neural Engineering 27
- Sensory Systems top 0.5%
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- Tissue Engineering and Regenerative Medicine 25
- Co-authors
- Kenneth B. MarguliesValentino PiacentinoXiongwen ChenJeffery D. MolkentinHajime KuboRemus M. BerrettaValluvan JeevanandamHanne Nuss
- Partner nations
- United StatesChinaItaly
In The Last Decade
Steven R. Houser
235 papers receiving 13.8k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Cardiology and Cardiovascular Medicine 7.6k
- Molecular Biology 8.8k
- Cellular and Molecular Neuroscience 1.8k
- Sensory Systems 470
- Pathology and Forensic Medicine 1.1k
Countries citing papers authored by Steven R. Houser
This map shows the geographic impact of Steven R. Houser'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 Steven R. Houser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven R. Houser more than expected).
Fields of papers citing papers by Steven R. Houser
This network shows the impact of papers produced by Steven R. Houser. 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 Steven R. Houser. The network helps show where Steven R. Houser may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven R. Houser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 26 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 12 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 32 | |
| 7 | 2020 | 35 | |
| 8 | 2019 | 25 | |
| 9 | 2018 | 21 | |
| 10 | 2018 | 56 | |
| 11 | Abstract 16144: Death Associated Protein Kinase Mediates Myofibril Degeneration and Myocyte Apoptosis Induced by Beta-adrenergic Receptors | 2016 | 1 |
| 12 | 2015 | 6 | |
| 13 | 2015 | 6 | |
| 14 | 2014 | 97 | |
| 15 | 2014 | 38 | |
| 16 | 2012 | 86 | |
| 17 | 2012 | 72 | |
| 18 | 2009 | 116 | |
| 19 | 2008 | 19 | |
| 20 | 2007 | 18 |
About Steven R. Houser
Steven R. Houser is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience, having authored 235 papers that have together received 14.0k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (92 papers), Ion channel regulation and function (69 papers), Cardiovascular Function and Risk Factors (31 papers), Cardiac Fibrosis and Remodeling (29 papers), Neuroscience and Neural Engineering (27 papers), Tissue Engineering and Regenerative Medicine (25 papers), Cardiovascular Effects of Exercise (25 papers) and Cardiomyopathy and Myosin Studies (23 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (7.6k citations), Molecular Biology (8.8k citations) and Cellular and Molecular Neuroscience (1.8k citations). Steven R. Houser has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Kenneth B. Margulies, Valentino Piacentino, Xiongwen Chen, Jeffery D. Molkentin, Hajime Kubo, Remus M. Berretta, Valluvan Jeevanandam, Hanne Nuss, Donald M. Bers and Walter J. Koch. Their work appears in journals such as Nature, Science and Cell.
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.