Hadas Moshonov
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Surgery
- Cardiology and Cardiovascular Medicine
- Co-authors
- Michael EvansPavel CrystalFrederick AuSandeep GhaiMichael A.S. JewettHarriette KahnKartik JhaveriFang‐I Lu
- Topics
- Radiomics and Machine Learning in Medical Imaging (6 papers)MRI in cancer diagnosis (5 papers)Breast Lesions and Carcinomas (4 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingStatistics and ProbabilityPulmonary and Respiratory Medicine
- Partner nations
- CanadaUnited StatesSaudi Arabia
In The Last Decade
Hadas Moshonov
27 papers receiving 613 citations
Peers
Comparison fields: 5 of 83
- Radiology, Nuclear Medicine and Imaging 277
- Pulmonary and Respiratory Medicine 177
- Biomedical Engineering 123
- Surgery 118
- Cardiology and Cardiovascular Medicine 86
Countries citing papers authored by Hadas Moshonov
This map shows the geographic impact of Hadas Moshonov'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 Hadas Moshonov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hadas Moshonov more than expected).
Fields of papers citing papers by Hadas Moshonov
This network shows the impact of papers produced by Hadas Moshonov. 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 Hadas Moshonov. The network helps show where Hadas Moshonov may publish in the future.
Co-authorship network of co-authors of Hadas Moshonov
This figure shows the co-authorship network connecting the top 25 collaborators of Hadas Moshonov. A scholar is included among the top collaborators of Hadas Moshonov 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 Hadas Moshonov. Hadas Moshonov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 31 | |
| 6 | 11 | |
| 7 | 16 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 12 | |
| 11 | 7 | |
| 12 | 20 | |
| 13 | 24 | |
| 14 | 7 | |
| 15 | 38 | |
| 16 | 5 | |
| 17 | 20 | |
| 18 | 25 | |
| 19 | 14 | |
| 20 | 19 |
About Hadas Moshonov
Hadas Moshonov is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine, having authored 28 papers that have together received 621 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (5 papers) and Breast Lesions and Carcinomas (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (277 citations), Statistics and Probability (72 citations) and Pulmonary and Respiratory Medicine (177 citations). Hadas Moshonov has collaborated with scholars based in Canada, United States and Saudi Arabia. Frequent co-authors include Michael Evans, Pavel Crystal, Frederick Au, Sandeep Ghai, Michael A.S. Jewett, Harriette Kahn, Kartik Jhaveri, Fang‐I Lu, Bernd J. Wintersperger and Andrew Crean. Their work appears in journals such as Radiology, The Journal of Urology and Journal of Thoracic and Cardiovascular Surgery.
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.