M. Roselle Abraham

7.5k total citations · 2 hit papers
124 papers, 5.4k citations indexed

About

M. Roselle Abraham is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, M. Roselle Abraham has authored 124 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Cardiology and Cardiovascular Medicine, 21 papers in Radiology, Nuclear Medicine and Imaging and 20 papers in Surgery. Recurrent topics in M. Roselle Abraham's work include Cardiomyopathy and Myosin Studies (49 papers), Cardiovascular Function and Risk Factors (41 papers) and Cardiovascular Effects of Exercise (35 papers). M. Roselle Abraham is often cited by papers focused on Cardiomyopathy and Myosin Studies (49 papers), Cardiovascular Function and Risk Factors (41 papers) and Cardiovascular Effects of Exercise (35 papers). M. Roselle Abraham collaborates with scholars based in United States, China and Taiwan. M. Roselle Abraham's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

M. Roselle Abraham

118 papers receiving 5.3k citations

Hit Papers

Regenerative Potential of Cardiosphere-Derived Cells Expa... 2007 2026 2013 2019 2007 2012 250 500 750

Peers

M. Roselle Abraham
Yong‐Jian Geng United States
Fatih Arslan Netherlands
Brent A. French United States
John M. Canty United States
Kyung-Han Lee South Korea
Thomas N. Tulenko United States
M. Roselle Abraham
Citations per year, relative to M. Roselle Abraham M. Roselle Abraham (= 1×) peers Stefan Jovinge

Countries citing papers authored by M. Roselle Abraham

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Abraham, M. Roselle, Elvira Agrón, Maximilian Pfau, et al.. (2025). Structure–Function Relationships in Geographic Atrophy Based on Mesopic Microperimetry, Fundus Autofluorescence, and Optical Coherence Tomography. Translational Vision Science & Technology. 14(2). 7–7. 4 indexed citations
2.
Sivalokanathan, Sanjay, Jiwon Lee, Meiling Chen, et al.. (2025). Explainable artificial intelligence identifies and localizes left ventricular scar in hypertrophic cardiomyopathy using 12-Lead electrocardiogram. Scientific Reports. 15(1). 33918–33918.
3.
Yin, Minglang, Eugene Kholmovski, Dan M. Popescu, et al.. (2025). Multimodal AI to forecast arrhythmic death in hypertrophic cardiomyopathy. Nature Cardiovascular Research. 4(7). 891–903. 5 indexed citations
4.
Abraham, M. Roselle, Alisa T. Thavikulwat, Clare Bailey, et al.. (2025). Longitudinal Analysis of Mesopic Microperimetry in a Phase II Trial Evaluating Minocycline for Geographic Atrophy. Ophthalmology Science. 5(5). 100783–100783. 1 indexed citations
5.
Yalçın, Fatih, et al.. (2024). The Science Behind Stress: From Theory to Clinic, Is Basal Septal Hypertrophy the Missing Link between Hypertension and Takotsubo Cardiomyopathy?. SHILAP Revista de lepidopterología. 4(2). 330–341. 1 indexed citations
6.
Choo, Ki Seok, et al.. (2023). Left Atrial Strain Derived From Cardiac Magnetic Resonance Imaging Can Predict Outcomes of Patients With Acute Myocarditis. Korean Journal of Radiology. 24(6). 512–512. 8 indexed citations
7.
Yalçın, Fatih, et al.. (2021). Ultimate phases of hypertensive heart disease and stressed heart morphology by conventional and novel cardiac imaging. eScholarship (California Digital Library). 11(5). 628–634. 6 indexed citations
8.
Gordon, Jeremy W., Adam Autry, Shuyu Tang, et al.. (2020). A variable resolution approach for improved acquisition of hyperpolarized 13C metabolic MRI. Magnetic Resonance in Medicine. 84(6). 2943–2952. 35 indexed citations
9.
Lu, Dai-Yin, Ioannis Ventoulis, Hongyun Liu, et al.. (2019). Sex-specific cardiac phenotype and clinical outcomes in patients with hypertrophic cardiomyopathy. American Heart Journal. 219. 58–69. 20 indexed citations
10.
Vakrou, Styliani, Ryuya Fukunaga, D. Brian Foster, et al.. (2018). Allele-specific differences in transcriptome, miRNome, and mitochondrial function in two hypertrophic cardiomyopathy mouse models. JCI Insight. 3(6). 31 indexed citations
11.
Guo, Xiaofan, Guozhe Sun, Liqiang Zheng, et al.. (2017). Plasma homocysteine levels associated with a corrected QT interval. BMC Cardiovascular Disorders. 17(1). 182–182. 5 indexed citations
12.
Lu, Dai‐Yin, et al.. (2017). Abstract 15967: Identifying Ventricular Arrhythmia Cases and Their Predictors by Applying Machine Learning Methods to Electronic Health Records (EHR) of Hypertrophic Cardiomyopathy (HCM) Patients. Circulation. 1 indexed citations
13.
Dimaano, Veronica L., Jackelyn Melissa Kembro, Iraklis Pozios, et al.. (2015). Exercise Heart Rates in Patients With Hypertrophic Cardiomyopathy. The American Journal of Cardiology. 115(8). 1144–1150. 14 indexed citations
14.
Afzal, Junaid, et al.. (2013). Enhanced Tissue Production through Redox Control in Stem Cell-Laden Hydrogels. Tissue Engineering Part A. 19(17-18). 2014–2023. 13 indexed citations
15.
Lin, Xiaoping, Aurélio Pinheiro, Veronica L. Dimaano, et al.. (2013). Electromechanical Relationship in Hypertrophic Cardiomyopathy. Journal of Cardiovascular Translational Research. 6(4). 604–615. 13 indexed citations
16.
Fukushima, Kenji, Paco E. Bravo, Takahiro Higuchi, et al.. (2012). Molecular Hybrid Positron Emission Tomography/Computed Tomography Imaging of Cardiac Angiotensin II Type 1 Receptors. Journal of the American College of Cardiology. 60(24). 2527–2534. 57 indexed citations
17.
Abd‐Elmoniem, Khaled Z., Tetsuo Sasano, Amr Youssef, et al.. (2012). Assessment of distribution and evolution of Mechanical dyssynchrony in a porcine model of myocardial infarction by cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance. 14(1). 1–1. 51 indexed citations
18.
Läutamaki, Riikka, John Terrovitis, Michael Bonios, et al.. (2011). Perfusion defect size predicts engraftment but not early retention of intra-myocardially injected cardiosphere-derived cells after acute myocardial infarction. Basic Research in Cardiology. 106(6). 1379–1386. 8 indexed citations
19.
Zhang, Yiqiang, Tao‐Sheng Li, Kolja Wawrowsky, et al.. (2010). Dedifferentiation and Proliferation of Mammalian Cardiomyocytes. PLoS ONE. 5(9). e12559–e12559. 165 indexed citations
20.
Barth, Andreas S., Eddy Kizana, Rachel Smith, et al.. (2008). Lentiviral Vectors Bearing the Cardiac Promoter of the Na+-Ca2+ Exchanger Report Cardiogenic Differentiation in Stem Cells. Molecular Therapy. 16(5). 957–964. 35 indexed citations

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.

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