Stéphanie Becker
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- Lymphoma Diagnosis and Treatment 26
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- Medical Imaging Techniques and Applications 13
- Radiomics and Machine Learning in Medical Imaging 7
- Peripheral Nerve Disorders 4
- Oncology top 10%
- Viral-associated cancers and disorders 6
- Neurology top 10%
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- Hepatocellular Carcinoma Treatment and Prognosis 6
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- Chronic Lymphocytic Leukemia Research 5
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- Orthopedic Surgery and Rehabilitation 4
- Co-authors
- Pierre VéraFabrice JardinHervé TillyAnne‐Ségolène CottereauMichel MeignanSylvain MareschalHélène LanicIsabelle Gardin
- Journals
- European Journal of Nuclear Medicine and Molecular Imaging (5 papers)Blood (4 papers)EJNMMI Research (3 papers)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Stéphanie Becker
52 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 68
- Pathology and Forensic Medicine 615
- Radiology, Nuclear Medicine and Imaging 474
- Oncology 261
- Pulmonary and Respiratory Medicine 273
- Neurology 123
Countries citing papers authored by Stéphanie Becker
This map shows the geographic impact of Stéphanie Becker'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 Stéphanie Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphanie Becker more than expected).
Fields of papers citing papers by Stéphanie Becker
This network shows the impact of papers produced by Stéphanie Becker. 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 Stéphanie Becker. The network helps show where Stéphanie Becker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stéphanie Becker, 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 | 2024 | 6 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 13 | |
| 7 | 2020 | 15 | |
| 8 | 2019 | 25 | |
| 9 | 2018 | 24 | |
| 10 | 2018 | 72 | |
| 11 | 2018 | 18 | |
| 12 | 2017 | 10 | |
| 13 | 2016 | 132 | |
| 14 | 2016 | 87 | |
| 15 | 2016 | 47 | |
| 16 | 2016 | 75 | |
| 17 | ¹⁸F-FDG-PET/CT Imaging in Patients with Febrile Neutropenia and Haematological Malignancies. | 2015 | 11 |
| 18 | 2015 | 9 | |
| 19 | 2011 | 34 | |
| 20 | 2008 | 20 |
About Stéphanie Becker
Stéphanie Becker is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 56 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (26 papers), Medical Imaging Techniques and Applications (13 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Viral-associated cancers and disorders (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Peripheral Nerve Disorders (4 papers) and Orthopedic Surgery and Rehabilitation (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (615 citations), Radiology, Nuclear Medicine and Imaging (474 citations) and Oncology (261 citations). Stéphanie Becker has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Pierre Véra, Fabrice Jardin, Hervé Tilly, Anne‐Ségolène Cottereau, Michel Meignan, Hervé Tilly, Sylvain Mareschal, Hélène Lanic, Isabelle Gardin and Philippe Ruminy. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Blood, EJNMMI Research, Scientific Reports and Journal of Nuclear Medicine.
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.