Sharlene M. Day
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- Cardiomyopathy and Myosin Studies 75
- Cardiovascular Effects of Exercise 38
- Cardiovascular Function and Risk Factors 27
- Cardiac electrophysiology and arrhythmias 14
- Viral Infections and Immunology Research 13
- Cardiac pacing and defibrillation studies 11
- Developmental Neuroscience top 2%
- Internal Medicine top 5%
- Hematology top 5%
- Molecular Biology top 5%
- Congenital heart defects research 11
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- Congenital Heart Disease Studies 9
- Co-authors
- Christopher SemsarianPerry ElliottMatthew W. MartinezMartin S. MaronJudy HungMichael A. BurkeMark S. LinkM. Kittleson
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Sharlene M. Day
105 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Cardiology and Cardiovascular Medicine 4.8k
- Developmental Neuroscience 269
- Internal Medicine 125
- Hematology 350
- Molecular Biology 2.0k
Countries citing papers authored by Sharlene M. Day
This map shows the geographic impact of Sharlene M. Day'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 Sharlene M. Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharlene M. Day more than expected).
Fields of papers citing papers by Sharlene M. Day
This network shows the impact of papers produced by Sharlene M. Day. 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 Sharlene M. Day. The network helps show where Sharlene M. Day may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sharlene M. Day, 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 | 2023 | 4 | |
| 2 | 2023 | 0 | |
| 3 | 2021 | 27 | |
| 4 | 2021 | 10 | |
| 5 | Genetic Testing for Inherited Cardiovascular Diseases: A Scientific Statement From the American Heart Associationbreakdown → | 2020 | 211 |
| 6 | 2020 | 49 | |
| 7 | 2020 AHA/ACC Guideline for the Diagnosis and Treatment of Patients With Hypertrophic Cardiomyopathybreakdown → | 2020 | 408 |
| 8 | 2020 | 18 | |
| 9 | 2020 | 7 | |
| 10 | 2018 | 62 | |
| 11 | 2017 | 33 | |
| 12 | 2016 | 80 | |
| 13 | 2016 | 4 | |
| 14 | 2016 | 18 | |
| 15 | 2015 | 13 | |
| 16 | Abstract 15498: Selective Inhibition of the Immunoproteasome Attenuates Adverse Left Ventricular Remodeling, Improves Cardiac Function, and Prevents Heart Failure After Myocardial Infarction | 2013 | 1 |
| 17 | 2013 | 31 | |
| 18 | 2013 | 5 | |
| 19 | 2009 | 15 | |
| 20 | 2005 | 257 |
About Sharlene M. Day
Sharlene M. Day is a scholar working on Cardiology and Cardiovascular Medicine, Aging and Developmental Neuroscience, having authored 106 papers that have together received 6.5k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (75 papers), Cardiovascular Effects of Exercise (38 papers), Cardiovascular Function and Risk Factors (27 papers), Cardiac electrophysiology and arrhythmias (14 papers), Viral Infections and Immunology Research (13 papers), Cardiac pacing and defibrillation studies (11 papers), Congenital heart defects research (11 papers) and Congenital Heart Disease Studies (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.8k citations), Developmental Neuroscience (269 citations) and Internal Medicine (125 citations). Sharlene M. Day has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Christopher Semsarian, Perry Elliott, Matthew W. Martinez, Martin S. Maron, Judy Hung, Michael A. Burke, Mark S. Link, M. Kittleson, Lauren L. Evanovich and José A. Joglar. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.