Minerva Becker
- Otorhinolaryngology top 0.2%
- Head and Neck Cancer Studies 33
- Oral Surgery top 0.5%
- Oral and Maxillofacial Pathology 17
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- Medical Imaging Techniques and Applications 23
- Radiomics and Machine Learning in Medical Imaging 23
- Radiation Dose and Imaging 14
- Surgery top 1%
- Salivary Gland Tumors Diagnosis and Treatment 17
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- Tracheal and airway disorders 15
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- Cancer Diagnosis and Treatment 12
Minerva Becker
181 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 148
- Otorhinolaryngology 1.4k
- Oral Surgery 797
- Radiology, Nuclear Medicine and Imaging 1.6k
- Surgery 2.2k
- Pulmonary and Respiratory Medicine 1.3k
Countries citing papers authored by Minerva Becker
This map shows the geographic impact of Minerva 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 Minerva Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minerva Becker more than expected).
Fields of papers citing papers by Minerva Becker
This network shows the impact of papers produced by Minerva 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 Minerva Becker. The network helps show where Minerva Becker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Minerva 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 36 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 95 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 8 | |
| 14 | 2019 | 26 | |
| 15 | 2017 | 61 | |
| 16 | 2010 | 65 | |
| 17 | Varikozele und männliche Infertilität | 2006 | 0 |
| 18 | 2000 | 133 | |
| 19 | 1998 | 10 | |
| 20 | Diagnosis and prognosis of changes in the sesamoid bone of the forelimb of horses as seen by radiography during examination before sale. An attempt to classify the findings. | 1980 | 5 |
About Minerva Becker
Minerva Becker is a scholar working on Otorhinolaryngology, Oral Surgery and Radiology, Nuclear Medicine and Imaging, having authored 197 papers that have together received 5.6k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (33 papers), Medical Imaging Techniques and Applications (23 papers), Radiomics and Machine Learning in Medical Imaging (23 papers), Salivary Gland Tumors Diagnosis and Treatment (17 papers), Oral and Maxillofacial Pathology (17 papers), Tracheal and airway disorders (15 papers), Radiation Dose and Imaging (14 papers) and Cancer Diagnosis and Treatment (12 papers). The work is most often cited by research in Otorhinolaryngology (1.4k citations), Oral Surgery (797 citations) and Radiology, Nuclear Medicine and Imaging (1.6k citations). Minerva Becker has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Pavel Dulguerov, Peter Zbären, Christoph D. Becker, Francis Marchal, Willy Lehmann, Habib Zaidi, Hubert Läng, A. Varoquaux, María Isabel Vargas and Karim Burkhardt. Their work appears in journals such as Insights into Imaging, European Radiology, European Journal of Radiology, Radiology and The Laryngoscope.
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.