Romalisa Miranda

9 papers receiving 540 citations

Peers

Romalisa Miranda
Comparison fields: 5 of 35
  • Radiology, Nuclear Medicine and Imaging 524
  • Cardiology and Cardiovascular Medicine 316
  • Biomedical Engineering 121
  • Surgery 112
  • Pulmonary and Respiratory Medicine 16
Replace Valerie Wasserleben with:
Valerie Wasserleben United States
Daniel S. Berman United States
M. Cerqueira Portugal
B Exner Germany
Leonardo Sara Brazil
Mariella Prastaro Italy
Mohan Nandalur United States
Felix Keng Singapore
S. Borges-Neto United States
M.C. Leung Australia
Romalisa Miranda relative to Valerie Wasserleben United States Valerie Wasserleben's profile →
Citations per field
00.5×
Valerie Wasserleben · 1×
Citations per year

Countries citing papers authored by Romalisa Miranda

Since Specialization
Citations

This map shows the geographic impact of Romalisa Miranda'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 Romalisa Miranda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Romalisa Miranda more than expected).

Fields of papers citing papers by Romalisa Miranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Romalisa Miranda. 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 Romalisa Miranda. The network helps show where Romalisa Miranda may publish in the future.

Co-authorship network of co-authors of Romalisa Miranda

This figure shows the co-authorship network connecting the top 25 collaborators of Romalisa Miranda. A scholar is included among the top collaborators of Romalisa Miranda 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 Romalisa Miranda. Romalisa Miranda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 42
2 7
3 24
4
Prediction of myocardial infarction versus cardiac death by gated myocardial perfusion SPECT: risk stratification by the amount of stress-induced ischemia and the poststress ejection fraction.
248
5 9
6 87
7
Postexercise lung uptake of 99mTc-sestamibi determined by a new automatic technique: validation and application in detection of severe and extensive coronary artery disease and reduced left ventricular function.
27
8 93
9 24

About Romalisa Miranda

Romalisa Miranda is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 9 papers that have together received 561 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (9 papers), Advanced MRI Techniques and Applications (6 papers) and Coronary Interventions and Diagnostics (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (524 citations), Cardiology and Cardiovascular Medicine (316 citations) and Biomedical Engineering (121 citations). Romalisa Miranda has collaborated with scholars based in United States. Frequent co-authors include Howard C. Lewin, Guido Germano, Daniel S. Berman, John D. Friedman, I. Cohen, John D. Friedman, X Kang, Tali Sharir, Xingping Kang and Claudia Bacher-Stier. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Cardiology.

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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