D. Eiss
Impact in
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- Prostate Cancer Diagnosis and Treatment
- Renal cell carcinoma treatment
- Prostate Cancer Treatment and Research
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- MRI in cancer diagnosis
- Ultrasound Imaging and Elastography
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Renal cell carcinoma treatment 12
- Prostate Cancer Diagnosis and Treatment 6
- Prostate Cancer Treatment and Research 4
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- MRI in cancer diagnosis 5
- Ultrasound Imaging and Elastography 3
- Co-authors
- O. Hélénon (28 shared papers)Jean-Michel Corréas (15 shared papers)Nicolas Barry Delongchamps (3 shared papers)A. Khairoune (6 shared papers)Anne-Marie Tissier (3 shared papers)F. Cornud (4 shared papers)Frédéric Beuvon (2 shared papers)T Flam (2 shared papers)
In The Last Decade
D. Eiss
32 papers receiving 461 citations
Peers
Comparison fields: 5 of 52
- Pulmonary and Respiratory Medicine 314
- Radiology, Nuclear Medicine and Imaging 209
- Rheumatology 57
- Urology 21
- Biomedical Engineering 86
Countries citing papers authored by D. Eiss
This map shows the geographic impact of D. Eiss'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 D. Eiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Eiss more than expected).
Fields of papers citing papers by D. Eiss
This network shows the impact of papers produced by D. Eiss. 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 D. Eiss. The network helps show where D. Eiss may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Eiss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 110 | |
| 2 | 2011 | 78 | |
| 3 | 2011 | 50 | |
| 4 | 2009 | 45 | |
| 5 | 2014 | 35 | |
| 6 | 2014 | 20 | |
| 7 | 2019 | 17 | |
| 8 | 2005 | 15 | |
| 9 | 2011 | 15 | |
| 10 | 2012 | 12 | |
| 11 | 2019 | 12 | |
| 12 | [Laparoscopic kidney release for refractory chyluria]. | 2005 | 7 |
| 13 | 2011 | 6 | |
| 14 | 2012 | 5 | |
| 15 | 2016 | 5 | |
| 16 | 2018 | 4 | |
| 17 | 2006 | 4 | |
| 18 | 2016 | 3 | |
| 19 | 2004 | 3 | |
| 20 | 2005 | 3 |
About D. Eiss
D. Eiss is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Surgery and Rheumatology, having authored 37 papers that have together received 466 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (12 papers), Renal and related cancers (7 papers), Prostate Cancer Diagnosis and Treatment (6 papers), MRI in cancer diagnosis (5 papers), Urologic and reproductive health conditions (5 papers), Prostate Cancer Treatment and Research (4 papers), Tuberous Sclerosis Complex Research (4 papers) and Ultrasound Imaging and Elastography (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (314 citations), Radiology, Nuclear Medicine and Imaging (209 citations), Rheumatology (57 citations), Urology (21 citations) and Biomedical Engineering (86 citations). D. Eiss has collaborated with scholars based in France, India and Israel. Frequent co-authors include O. Hélénon, Jean-Michel Corréas, Nicolas Barry Delongchamps, A. Khairoune, Anne-Marie Tissier, F. Cornud, Frédéric Beuvon, T Flam, Marc Zerbib and Michaël Peyromaure. Their work appears in journals such as Diagnostic and Interventional Imaging, Urology, American Journal of Roentgenology, European Journal of Radiology and Prostate Cancer and Prostatic Diseases.
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.