Christopher Donatelli
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
Papers in
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- Lung Cancer Diagnosis and Treatment 4
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- Radiomics and Machine Learning in Medical Imaging 4
- Medical Imaging Techniques and Applications 1
- Co-authors
- Michael Yang (5 shared papers)Anant Madabhushi (4 shared papers)Frank J. Jacono (4 shared papers)Robert Gilkeson (4 shared papers)Prabhakar Rajiah (4 shared papers)Philip A. Linden (4 shared papers)Niha Beig (3 shared papers)Vamsidhar Velcheti (3 shared papers)
- Journals
- Scientific Reports (1 paper)Radiology (1 paper)Integrative Organismal Biology (1 paper)European Radiology (1 paper)Cleveland Clinic Journal of Medicine (2 papers)
- Partner nations
- United StatesItalyIsrael
In The Last Decade
Christopher Donatelli
9 papers receiving 360 citations
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 294
- Health Informatics 9
- Pulmonary and Respiratory Medicine 194
- Microbiology 2
- Biomedical Engineering 95
Countries citing papers authored by Christopher Donatelli
This map shows the geographic impact of Christopher Donatelli'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 Christopher Donatelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Donatelli more than expected).
Fields of papers citing papers by Christopher Donatelli
This network shows the impact of papers produced by Christopher Donatelli. 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 Christopher Donatelli. The network helps show where Christopher Donatelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Donatelli, 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 | 2018 | 238 | |
| 2 | 2020 | 45 | |
| 3 | 2018 | 24 | |
| 4 | 2017 | 21 | |
| 5 | 2018 | 21 | |
| 6 | 2015 | 7 | |
| 7 | 2018 | 5 | |
| 8 | 2021 | 2 | |
| 9 | [The effect of different "coherent"-type therapeutic plans on bone mineral density and on the incidence of vertebral fractures in advanced osteoporosis]. | 1993 | 2 |
About Christopher Donatelli
Christopher Donatelli is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Epidemiology and Surgery, having authored 9 papers that have together received 365 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced X-ray and CT Imaging (2 papers), Paleopathology and ancient diseases (1 paper), Bone health and osteoporosis research (1 paper), Medical Imaging Techniques and Applications (1 paper), Anatomy and Medical Technology (1 paper) and Oral and Maxillofacial Pathology (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (294 citations), Health Informatics (9 citations), Pulmonary and Respiratory Medicine (194 citations), Microbiology (2 citations) and Biomedical Engineering (95 citations). Christopher Donatelli has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Michael Yang, Anant Madabhushi, Frank J. Jacono, Robert Gilkeson, Prabhakar Rajiah, Philip A. Linden, Niha Beig, Vamsidhar Velcheti, Rajat Thawani and Sagar Rakshit. Their work appears in journals such as Scientific Reports, Radiology, Integrative Organismal Biology, European Radiology and Cleveland Clinic Journal of Medicine.
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.