Dany Grahek
Impact in
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Radiation top 5%
- Advanced Radiotherapy Techniques
Papers in
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- Medical Imaging Techniques and Applications 28
- Radiomics and Machine Learning in Medical Imaging 11
- Co-authors
- Jean‐Noël TalbotFrançoise MontraversKhaldoun KerrouEmmanuel BarrangerSerge UzanÉmile DaraïFabrice GutmanJean‐Didier Grangé
In The Last Decade
Dany Grahek
59 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 59
- Radiology, Nuclear Medicine and Imaging 645
- Radiation 174
- Obstetrics and Gynecology 142
- Cancer Research 226
- Pulmonary and Respiratory Medicine 470
Countries citing papers authored by Dany Grahek
This map shows the geographic impact of Dany Grahek'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 Dany Grahek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dany Grahek more than expected).
Fields of papers citing papers by Dany Grahek
This network shows the impact of papers produced by Dany Grahek. 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 Dany Grahek. The network helps show where Dany Grahek may publish in the future.
Co-authors
The 25 scholars most cited alongside Dany Grahek, 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 | 2010 | 2 | |
| 2 | 2008 | 2 | |
| 3 | 2007 | 7 | |
| 4 | 2006 | 4 | |
| 5 | 2006 | 3 | |
| 6 | 2006 | 1 | |
| 7 | 2006 | 1 | |
| 8 | 2005 | 97 | |
| 9 | 2005 | 8 | |
| 10 | 2005 | 9 | |
| 11 | 2005 | 5 | |
| 12 | 2005 | 9 | |
| 13 | 2004 | 54 | |
| 14 | 2003 | 69 | |
| 15 | 2003 | 66 | |
| 16 | 2002 | 95 | |
| 17 | 2001 | 13 | |
| 18 | 2001 | 109 | |
| 19 | 2001 | 3 | |
| 20 | 1993 | 45 |
About Dany Grahek
Dany Grahek is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology, Pulmonary and Respiratory Medicine, Radiation and Oncology, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (28 papers), Lung Cancer Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Breast Cancer Treatment Studies (7 papers), Medical Imaging and Pathology Studies (6 papers), Breast Lesions and Carcinomas (6 papers), Advanced Radiotherapy Techniques (5 papers) and Cancer Diagnosis and Treatment (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (645 citations), Radiation (174 citations), Obstetrics and Gynecology (142 citations), Cancer Research (226 citations) and Pulmonary and Respiratory Medicine (470 citations). Dany Grahek has collaborated with scholars based in France, Romania and Spain. Frequent co-authors include Jean‐Noël Talbot, Françoise Montravers, Khaldoun Kerrou, Emmanuel Barranger, Serge Uzan, Émile Daraï, Fabrice Gutman, Jean‐Didier Grangé, A. Cortez and E. Touboul. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, European Journal of Nuclear Medicine and Molecular Imaging, Annals of Surgical Oncology, Leukemia Research and Nuclear Medicine Communications.
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.