Emily S Manders
- Cardiology and Cardiovascular Medicine top 1%
- Biomedical Engineering top 10%
- Complementary and alternative medicine top 1%
- Physiology top 10%
- Surgery
- Co-authors
- Martin G. LarsonHisako TsujiJane C. EvansFerdinand J. VendittiCharles L. FeldmanDaniel LevyJoseph M. MassaroChristopher J. O’Donnell
- Topics
- Cardiac Imaging and Diagnostics (7 papers)Mobile Health and mHealth Applications (7 papers)Physical Activity and Health (6 papers)
- Cited by
- Cardiology and Cardiovascular MedicineComplementary and alternative medicineBehavioral Neuroscience
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Emily S Manders
23 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Cardiology and Cardiovascular Medicine 1.7k
- Biomedical Engineering 469
- Complementary and alternative medicine 319
- Physiology 293
- Surgery 265
Countries citing papers authored by Emily S Manders
This map shows the geographic impact of Emily S Manders'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 Emily S Manders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily S Manders more than expected).
Fields of papers citing papers by Emily S Manders
This network shows the impact of papers produced by Emily S Manders. 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 Emily S Manders. The network helps show where Emily S Manders may publish in the future.
Co-authorship network of co-authors of Emily S Manders
This figure shows the co-authorship network connecting the top 25 collaborators of Emily S Manders. A scholar is included among the top collaborators of Emily S Manders 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 Emily S Manders. Emily S Manders is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 43 | |
| 6 | 11 | |
| 7 | 33 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 172 | |
| 11 | 2 | |
| 12 | 20 | |
| 13 | 5 | |
| 14 | 40 | |
| 15 | 79 | |
| 16 | 127 | |
| 17 | 81 | |
| 18 | 292 | |
| 19 | Impact of Reduced Heart Rate Variability on Risk for Cardiac Eventsbreakdown → | 1446 |
| 20 | Association of Levels of Serum Potassium and Magnesium with Ventricular Premature Complexes : the Framingham Heart Study | 1 |
About Emily S Manders
Emily S Manders is a scholar working on Cardiology and Cardiovascular Medicine, Applied Psychology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (7 papers), Mobile Health and mHealth Applications (7 papers) and Physical Activity and Health (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.7k citations), Complementary and alternative medicine (319 citations) and Behavioral Neuroscience (134 citations). Emily S Manders has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Martin G. Larson, Hisako Tsuji, Jane C. Evans, Ferdinand J. Venditti, Charles L. Feldman, Daniel Levy, Joseph M. Massaro, Christopher J. O’Donnell, Caroline S. Fox and Udo Hoffmann. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Circulation Research.
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.