Nina Rashedi
- Cardiology and Cardiovascular Medicine top 10%
- Radiology, Nuclear Medicine and Imaging
- Epidemiology
- Surgery
- Pulmonary and Respiratory Medicine
- Co-authors
- Victor Mor‐AviRoberto M. LangAmit R. PatelCatherine M OttoDavide GenoveseAkhil NarangZoran PopovićKarima Addetia
- Topics
- Cardiovascular Function and Risk Factors (8 papers)Cardiac Imaging and Diagnostics (7 papers)Cardiac Valve Diseases and Treatments (7 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingHealth Informatics
- Journals
- Journal of the American College of CardiologyJournal of the American Society of EchocardiographyMagnetic Resonance Imaging
- Partner nations
- United StatesItalyGermany
In The Last Decade
Nina Rashedi
13 papers receiving 323 citations
Peers
Comparison fields: 5 of 35
- Cardiology and Cardiovascular Medicine 290
- Radiology, Nuclear Medicine and Imaging 106
- Epidemiology 92
- Surgery 90
- Pulmonary and Respiratory Medicine 88
Countries citing papers authored by Nina Rashedi
This map shows the geographic impact of Nina Rashedi'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 Nina Rashedi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Rashedi more than expected).
Fields of papers citing papers by Nina Rashedi
This network shows the impact of papers produced by Nina Rashedi. 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 Nina Rashedi. The network helps show where Nina Rashedi may publish in the future.
Co-authorship network of co-authors of Nina Rashedi
This figure shows the co-authorship network connecting the top 25 collaborators of Nina Rashedi. A scholar is included among the top collaborators of Nina Rashedi 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 Nina Rashedi. Nina Rashedi 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 | 16 | |
| 3 | 28 | |
| 4 | 1 | |
| 5 | 37 | |
| 6 | 21 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 79 | |
| 10 | 58 | |
| 11 | 32 | |
| 12 | 33 | |
| 13 | 12 |
About Nina Rashedi
Nina Rashedi is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 13 papers that have together received 326 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (8 papers), Cardiac Imaging and Diagnostics (7 papers) and Cardiac Valve Diseases and Treatments (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (290 citations), Radiology, Nuclear Medicine and Imaging (106 citations) and Health Informatics (5 citations). Nina Rashedi has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Victor Mor‐Avi, Roberto M. Lang, Amit R. Patel, Catherine M Otto, Davide Genovese, Akhil Narang, Zoran Popović, Karima Addetia, Lynn Weinert and Alexandra Gonçalves. Their work appears in journals such as Journal of the American College of Cardiology, Journal of the American Society of Echocardiography and Magnetic Resonance Imaging.
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.