S. Cima
Impact in
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- Microbial Inactivation Methods
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- Advanced Radiotherapy Techniques
Papers in ⓘ
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- Radiomics and Machine Learning in Medical Imaging 3
- Medical Imaging Techniques and Applications 2
- Effects of Radiation Exposure 2
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- Advanced Radiotherapy Techniques 3
- Co-authors
- Andrea Galuppi (4 shared papers)Anna Myriam Perrone (4 shared papers)Pierandrea De Iaco (4 shared papers)A.G. Morganti (4 shared papers)S. Cammelli (3 shared papers)F. Pozzati (2 shared papers)A. Richetti (8 shared papers)Gabriella Macchia (2 shared papers)
- Journals
- Clinical & Translational Oncology (2 papers)Radiotherapy and Oncology (1 paper)BMC Cancer (1 paper)Gynecologic Oncology (1 paper)Journal of Contemporary Brachytherapy (1 paper)
- Partner nations
- ItalySwitzerlandUnited Kingdom
In The Last Decade
S. Cima
17 papers receiving 183 citations
Peers
Comparison fields: 5 of 33
- Biotechnology 42
- Radiation 27
- Obstetrics and Gynecology 23
- Radiology, Nuclear Medicine and Imaging 58
- Cancer Research 33
Countries citing papers authored by S. Cima
This map shows the geographic impact of S. Cima'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 S. Cima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Cima more than expected).
Fields of papers citing papers by S. Cima
This network shows the impact of papers produced by S. Cima. 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 S. Cima. The network helps show where S. Cima may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Cima, 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 | 2015 | 29 | |
| 2 | 2013 | 24 | |
| 3 | 2015 | 24 | |
| 4 | 2018 | 24 | |
| 5 | 2014 | 18 | |
| 6 | Usefulness of 124I PET/CT imaging to predict absorbed doses in patients affected by metastatic thyroid cancer and treated with 131I. | 2012 | 12 |
| 7 | 2018 | 11 | |
| 8 | 2019 | 9 | |
| 9 | 2023 | 6 | |
| 10 | 2017 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2018 | 5 | |
| 13 | 2018 | 3 | |
| 14 | 2020 | 3 | |
| 15 | Special Issue on Radiation Therapy for Breast Cancer - Radiation Side Effects | 2017 | 2 |
| 16 | 2020 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2023 | 0 |
About S. Cima
S. Cima is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Cancer Research, Obstetrics and Gynecology and Reproductive Medicine, having authored 18 papers that have together received 184 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (4 papers), Advanced Radiotherapy Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Effects of Radiation Exposure (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Microbial Inactivation Methods (2 papers). The work is most often cited by research in Biotechnology (42 citations), Radiation (27 citations), Obstetrics and Gynecology (23 citations), Radiology, Nuclear Medicine and Imaging (58 citations) and Cancer Research (33 citations). S. Cima has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Andrea Galuppi, Anna Myriam Perrone, Pierandrea De Iaco, A.G. Morganti, S. Cammelli, F. Pozzati, A. Richetti, Gabriella Macchia, Milly Buwenge and Stefano Fanti. Their work appears in journals such as Clinical & Translational Oncology, Radiotherapy and Oncology, BMC Cancer, Gynecologic Oncology and Journal of Contemporary Brachytherapy.
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.