Evan D. Muse
Impact in
-
- Regulation of Appetite and Obesity
- Health Informatics top 1%
Papers in
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- ECG Monitoring and Analysis 4
- Surgery 10
- Lipoproteins and Cardiovascular Health 4
- Cholesterol and Lipid Metabolism 3
- Co-authors
- Eric J. Topol (20 shared papers)Steven R. Steinhubl (11 shared papers)Luciano Rossetti (9 shared papers)Philipp E. Scherer (3 shared papers)Sanjay Bhanot (4 shared papers)Brett P. Monia (4 shared papers)Silvana Obici (4 shared papers)Robert A. McKay (2 shared papers)
- Journals
- The Lancet (9 papers)Journal of Clinical Investigation (5 papers)Cell Metabolism (3 papers)Nature Medicine (3 papers)Frontiers in Cardiovascular Medicine (3 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Evan D. Muse
53 papers receiving 4.0k citations
Evan D. Muse's Hit Papers
Peers
Comparison fields: 5 of 164
- Endocrine and Autonomic Systems 536
- Health Informatics 99
- Applied Psychology 170
- Physiology 753
- Cardiology and Cardiovascular Medicine 581
Countries citing papers authored by Evan D. Muse
This map shows the geographic impact of Evan D. Muse'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 Evan D. Muse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan D. Muse more than expected).
Fields of papers citing papers by Evan D. Muse
This network shows the impact of papers produced by Evan D. Muse. 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 Evan D. Muse. The network helps show where Evan D. Muse may publish in the future.
Co-authors
The 25 scholars most cited alongside Evan D. Muse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The emerging field of mobile health Hit paper breakdown → | 2015 | 579 |
| 2 | Smart wearable devices in cardiovascular care: where we are and how to move forward Hit paper breakdown → | 2021 | 547 |
| 3 | Can Mobile Health Technologies Transform Health Care? Hit paper breakdown → | 2013 | 384 |
| 4 | 2004 | 285 | |
| 5 | 2004 | 281 | |
| 6 | 2008 | 280 | |
| 7 | 2016 | 265 | |
| 8 | 2006 | 190 | |
| 9 | 2012 | 148 | |
| 10 | 2001 | 101 | |
| 11 | 2007 | 97 | |
| 12 | 2018 | 89 | |
| 13 | 2014 | 80 | |
| 14 | 2017 | 64 | |
| 15 | 2014 | 55 | |
| 16 | 2015 | 52 | |
| 17 | 2019 | 50 | |
| 18 | 2005 | 47 | |
| 19 | 2001 | 47 | |
| 20 | 2001 | 46 |
About Evan D. Muse
Evan D. Muse is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Radiology, Nuclear Medicine and Imaging and General Health Professions, having authored 54 papers that have together received 4.1k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Mobile Health and mHealth Applications (5 papers), Lipoproteins and Cardiovascular Health (4 papers), ECG Monitoring and Analysis (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Cholesterol and Lipid Metabolism (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (536 citations), Health Informatics (99 citations), Applied Psychology (170 citations), Physiology (753 citations) and Cardiology and Cardiovascular Medicine (581 citations). Evan D. Muse has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Eric J. Topol, Steven R. Steinhubl, Luciano Rossetti, Philipp E. Scherer, Sanjay Bhanot, Brett P. Monia, Silvana Obici, Robert A. McKay, Michael W. Rajala and Seth S. Martin. Their work appears in journals such as The Lancet, Journal of Clinical Investigation, Cell Metabolism, Nature Medicine and Frontiers in Cardiovascular Medicine.
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.