C. Balu–Maestro
Impact in
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- Ultrasound Imaging and Elastography
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Cancer Research top 5%
- Breast Cancer Treatment Studies
Papers in
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- Breast Lesions and Carcinomas 17
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- Breast Cancer Treatment Studies 15
- Co-authors
- C. ChapellierJean-Noël BrunetonF. EttoreR. LargillierMichel-Yves MourouPierre‐Yves MarcyV. JuhanF. Schäfer
- Journals
- European Radiology (3 papers)Radiology (3 papers)Investigative Radiology (2 papers)Journal of Ultrasound in Medicine (2 papers)Breast Cancer Research and Treatment (2 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
C. Balu–Maestro
54 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Radiology, Nuclear Medicine and Imaging 927
- Cancer Research 466
- Pathology and Forensic Medicine 401
- Oncology 362
- Biomedical Engineering 515
Countries citing papers authored by C. Balu–Maestro
This map shows the geographic impact of C. Balu–Maestro'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 C. Balu–Maestro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Balu–Maestro more than expected).
Fields of papers citing papers by C. Balu–Maestro
This network shows the impact of papers produced by C. Balu–Maestro. 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 C. Balu–Maestro. The network helps show where C. Balu–Maestro may publish in the future.
Co-authorship network
The 25 scholars most cited alongside C. Balu–Maestro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 7 | |
| 2 | Shear-wave Elastography Improves the Specificity of Breast US: The BE1 Multinational Study of 939 Masses Hit paper breakdown → | 2012 | 637 |
| 3 | 2009 | 46 | |
| 4 | 2009 | 6 | |
| 5 | 2008 | 267 | |
| 6 | 2008 | 2 | |
| 7 | 2006 | 15 | |
| 8 | 2006 | 7 | |
| 9 | 2006 | 5 | |
| 10 | 2006 | 49 | |
| 11 | 2005 | 7 | |
| 12 | 2005 | 6 | |
| 13 | 2000 | 26 | |
| 14 | 1996 | 8 | |
| 15 | 1996 | 4 | |
| 16 | 1994 | 178 | |
| 17 | [Ultrasonographic surveillance of treated breast cancer]. | 1991 | 5 |
| 18 | 1989 | 56 | |
| 19 | 1988 | 19 | |
| 20 | 1988 | 35 |
About C. Balu–Maestro
C. Balu–Maestro is a scholar working on Pathology and Forensic Medicine, Cancer Research, Radiology, Nuclear Medicine and Imaging, Hepatology and Oncology, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (17 papers), Breast Cancer Treatment Studies (15 papers), MRI in cancer diagnosis (8 papers), AI in cancer detection (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Ultrasound Imaging and Elastography (6 papers), Cancer Diagnosis and Treatment (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (927 citations), Cancer Research (466 citations), Pathology and Forensic Medicine (401 citations), Oncology (362 citations) and Biomedical Engineering (515 citations). C. Balu–Maestro has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include C. Chapellier, Jean-Noël Bruneton, F. Ettore, R. Largillier, Michel-Yves Mourou, Pierre‐Yves Marcy, V. Juhan, F. Schäfer, J Gay and W. E. Svensson. Their work appears in journals such as European Radiology, Radiology, Investigative Radiology, Journal of Ultrasound in Medicine and Breast Cancer Research and Treatment.
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.