M. Roselle Abraham
- Cardiology and Cardiovascular Medicine top 0.5%
- Molecular Biology top 5%
- Surgery top 2%
- Epidemiology top 5%
- Genetics top 1%
- Co-authors
- Eduardo MarbánMichelle K. LeppoTheodore P. AbrahamRachel SmithHee Cheol ChoElisa MessinaAlessandro GiacomelloJoshua M. Hare
- Topics
- Cardiomyopathy and Myosin Studies (49 papers)Cardiovascular Function and Risk Factors (41 papers)Cardiovascular Effects of Exercise (35 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
M. Roselle Abraham
118 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Cardiology and Cardiovascular Medicine 2.3k
- Molecular Biology 1.9k
- Surgery 1.8k
- Epidemiology 740
- Genetics 719
Countries citing papers authored by M. Roselle Abraham
This map shows the geographic impact of M. Roselle Abraham'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 M. Roselle Abraham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Roselle Abraham more than expected).
Fields of papers citing papers by M. Roselle Abraham
This network shows the impact of papers produced by M. Roselle Abraham. 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 M. Roselle Abraham. The network helps show where M. Roselle Abraham may publish in the future.
Co-authorship network of co-authors of M. Roselle Abraham
This figure shows the co-authorship network connecting the top 25 collaborators of M. Roselle Abraham. A scholar is included among the top collaborators of M. Roselle Abraham 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 M. Roselle Abraham. M. Roselle Abraham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | Ultimate phases of hypertensive heart disease and stressed heart morphology by conventional and novel cardiac imaging | 6 |
| 8 | 35 | |
| 9 | 20 | |
| 10 | 31 | |
| 11 | 5 | |
| 12 | Abstract 15967: Identifying Ventricular Arrhythmia Cases and Their Predictors by Applying Machine Learning Methods to Electronic Health Records (EHR) of Hypertrophic Cardiomyopathy (HCM) Patients | 1 |
| 13 | 14 | |
| 14 | 13 | |
| 15 | 13 | |
| 16 | 57 | |
| 17 | 51 | |
| 18 | 8 | |
| 19 | 165 | |
| 20 | 35 |
About M. Roselle Abraham
M. Roselle Abraham is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 124 papers that have together received 5.4k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (49 papers), Cardiovascular Function and Risk Factors (41 papers) and Cardiovascular Effects of Exercise (35 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.3k citations), Genetics (719 citations) and Biomaterials (671 citations). M. Roselle Abraham has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Eduardo Marbán, Michelle K. Leppo, Theodore P. Abraham, Rachel Smith, Hee Cheol Cho, Elisa Messina, Alessandro Giacomello, Joshua M. Hare, Lucio Barile and Nathan M. Bass. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.