S. Cima
Impact in
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- Microbial Inactivation Methods
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- Endometrial and Cervical Cancer Treatments
Papers in
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- Lung Cancer Diagnosis and Treatment 2
- Pleural and Pulmonary Diseases 1
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- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- Andrea Galuppi (4 shared papers)A.G. Morganti (4 shared papers)Pierandrea De Iaco (4 shared papers)Anna Myriam Perrone (4 shared papers)S. Cammelli (3 shared papers)Stefano Fanti (3 shared papers)F. Pozzati (2 shared papers)R. Frakulli (2 shared papers)
- Journals
- Clinical & Translational Oncology (2 papers)Therapeutic Advances in Medical Oncology (1 paper)Journal of Surgical Oncology (1 paper)International Journal of Gynecological Cancer (1 paper)British Journal of Radiology (1 paper)
- Partner nations
- ItalySwitzerlandJapan
In The Last Decade
S. Cima
17 papers receiving 194 citations
Peers
Comparison fields: 5 of 31
- Biotechnology 40
- Obstetrics and Gynecology 14
- Radiation 18
- Radiology, Nuclear Medicine and Imaging 35
- Cancer Research 22
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 | 30 | |
| 2 | 2015 | 25 | |
| 3 | 2013 | 24 | |
| 4 | 2018 | 24 | |
| 5 | 2014 | 23 | |
| 6 | Usefulness of 124I PET/CT imaging to predict absorbed doses in patients affected by metastatic thyroid cancer and treated with 131I. | 2012 | 13 |
| 7 | 2018 | 11 | |
| 8 | 2019 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2018 | 6 | |
| 12 | 2017 | 6 | |
| 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 Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Oncology and Radiation, having authored 18 papers that have together received 197 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (3 papers), Breast Cancer Treatment Studies (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Microbial Inactivation Methods (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Management of metastatic bone disease (1 paper) and Pleural and Pulmonary Diseases (1 paper). The work is most often cited by research in Biotechnology (40 citations), Obstetrics and Gynecology (14 citations), Radiation (18 citations), Radiology, Nuclear Medicine and Imaging (35 citations) and Cancer Research (22 citations). S. Cima has collaborated with scholars based in Italy, Switzerland and Japan. Frequent co-authors include Andrea Galuppi, A.G. Morganti, Pierandrea De Iaco, Anna Myriam Perrone, S. Cammelli, Stefano Fanti, F. Pozzati, R. Frakulli, Gabriella Macchia and Milly Buwenge. Their work appears in journals such as Clinical & Translational Oncology, Therapeutic Advances in Medical Oncology, Journal of Surgical Oncology, International Journal of Gynecological Cancer and British Journal of Radiology.
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.