Barbara Bennani‐Baïti
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- MRI in cancer diagnosis 10
- Radiomics and Machine Learning in Medical Imaging 6
- Advanced MRI Techniques and Applications 6
- Medical Imaging Techniques and Applications 2
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- Breast Lesions and Carcinomas 4
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- Drug Transport and Resistance Mechanisms 2
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- Trace Elements in Health 2
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- AI in cancer detection 2
- Co-authors
- Pascal BaltzerNabila Bennani-BaitiMatthias DietzelPanagiotis KapetasPaola ClauserThomas H. HelbichChristian R. NoeIdriss M. Bennani-Baı̈ti
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Barbara Bennani‐Baïti
16 papers receiving 398 citations
Peers
Comparison fields: 5 of 61
- Radiology, Nuclear Medicine and Imaging 317
- Health Informatics 7
- Pathology and Forensic Medicine 82
- Cancer Research 45
- Neurology 17
Countries citing papers authored by Barbara Bennani‐Baïti
This map shows the geographic impact of Barbara Bennani‐Baïti'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 Barbara Bennani‐Baïti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Bennani‐Baïti more than expected).
Fields of papers citing papers by Barbara Bennani‐Baïti
This network shows the impact of papers produced by Barbara Bennani‐Baïti. 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 Barbara Bennani‐Baïti. The network helps show where Barbara Bennani‐Baïti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Barbara Bennani‐Baïti, 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 | 2024 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2020 | 14 | |
| 4 | 2020 | 7 | |
| 5 | 2019 | 19 | |
| 6 | 2019 | 9 | |
| 7 | 2018 | 23 | |
| 8 | 2017 | 23 | |
| 9 | 2017 | 24 | |
| 10 | 2016 | 91 | |
| 11 | 2016 | 37 | |
| 12 | 2016 | 101 | |
| 13 | 2015 | 15 | |
| 14 | Blood-brain barrier in vitro models as tools in drug discovery: assessment of the transport ranking of antihistaminic drugs. | 2012 | 10 |
| 15 | 2011 | 7 | |
| 16 | Serum-derived immunoglobulins alter amyloid beta transport across a blood-brain barrier in vitro model. | 2010 | 7 |
| 17 | 2009 | 15 |
About Barbara Bennani‐Baïti
Barbara Bennani‐Baïti is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 17 papers that have together received 403 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (10 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced MRI Techniques and Applications (6 papers), Breast Lesions and Carcinomas (4 papers), Medical Imaging Techniques and Applications (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Trace Elements in Health (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (317 citations), Health Informatics (7 citations) and Pathology and Forensic Medicine (82 citations). Barbara Bennani‐Baïti has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Pascal Baltzer, Nabila Bennani-Baiti, Matthias Dietzel, Panagiotis Kapetas, Paola Clauser, Thomas H. Helbich, Christian R. Noe, Idriss M. Bennani-Baı̈ti, Andreas Stadlbauer and Zsuzsanna Bagó-Horváth. Their work appears in journals such as PLoS ONE, Radiology and Gene.
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.