Reuma Shapira
- Radiology, Nuclear Medicine and Imaging top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Critical Care and Intensive Care Medicine top 5%
- Biomedical Engineering
- Surgery
- Co-authors
- А. Х. КоганMoshe Y. FlugelmanRonen JaffeDavid A. HalonBasil S. LewisRonen RubinshteinTamar GasparBasheer Karkabi
- Topics
- Cardiac Imaging and Diagnostics (5 papers)Ultrasound in Clinical Applications (4 papers)Acute Myocardial Infarction Research (3 papers)
- Cited by
- Critical Care and Intensive Care MedicineRadiology, Nuclear Medicine and ImagingCardiology and Cardiovascular Medicine
- Partner nations
- Israel
In The Last Decade
Reuma Shapira
10 papers receiving 360 citations
Peers
Comparison fields: 5 of 40
- Radiology, Nuclear Medicine and Imaging 306
- Cardiology and Cardiovascular Medicine 163
- Critical Care and Intensive Care Medicine 122
- Biomedical Engineering 83
- Surgery 57
Countries citing papers authored by Reuma Shapira
This map shows the geographic impact of Reuma Shapira'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 Reuma Shapira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reuma Shapira more than expected).
Fields of papers citing papers by Reuma Shapira
This network shows the impact of papers produced by Reuma Shapira. 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 Reuma Shapira. The network helps show where Reuma Shapira may publish in the future.
Co-authorship network of co-authors of Reuma Shapira
This figure shows the co-authorship network connecting the top 25 collaborators of Reuma Shapira. A scholar is included among the top collaborators of Reuma Shapira 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 Reuma Shapira. Reuma Shapira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 10 | |
| 3 | 51 | |
| 4 | 247 | |
| 5 | 26 | |
| 6 | 2 | |
| 7 | Initial experience with a cardiologist-based chest pain unit in an emergency department in Israel. | 8 |
| 8 | 10 | |
| 9 | 11 | |
| 10 | 9 |
About Reuma Shapira
Reuma Shapira is a scholar working on Critical Care and Intensive Care Medicine, Internal Medicine and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 382 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (5 papers), Ultrasound in Clinical Applications (4 papers) and Acute Myocardial Infarction Research (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (122 citations), Radiology, Nuclear Medicine and Imaging (306 citations) and Cardiology and Cardiovascular Medicine (163 citations). Reuma Shapira has collaborated with scholars based in Israel. Frequent co-authors include А. Х. Коган, Moshe Y. Flugelman, Ronen Jaffe, David A. Halon, Basil S. Lewis, Ronen Rubinshtein, Tamar Gaspar, Basheer Karkabi, Nathan Peled and Jacob Goldstein. Their work appears in journals such as Circulation, Cancer 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.