Cristina Nanni
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Pulmonary and Respiratory Medicine top 0.5%
- Oncology top 1%
- Hematology top 0.5%
- Epidemiology top 2%
- Co-authors
- Stefano FantiDomenico RubelloValentina AmbrosiniPaolo CastellucciMohsen FarsadRoberto FranchiElena ZamagniMichèle Cavo
- Topics
- Medical Imaging Techniques and Applications (77 papers)Radiomics and Machine Learning in Medical Imaging (38 papers)Prostate Cancer Treatment and Research (36 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Cristina Nanni
249 papers receiving 7.5k citations
Peers
Comparison fields: 5 of 130
- Radiology, Nuclear Medicine and Imaging 2.7k
- Pulmonary and Respiratory Medicine 2.6k
- Oncology 2.1k
- Hematology 1.3k
- Epidemiology 1.2k
Countries citing papers authored by Cristina Nanni
This map shows the geographic impact of Cristina Nanni'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 Cristina Nanni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Nanni more than expected).
Fields of papers citing papers by Cristina Nanni
This network shows the impact of papers produced by Cristina Nanni. 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 Cristina Nanni. The network helps show where Cristina Nanni may publish in the future.
Co-authorship network of co-authors of Cristina Nanni
This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Nanni. A scholar is included among the top collaborators of Cristina Nanni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cristina Nanni. Cristina Nanni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 9 | |
| 11 | 107 | |
| 12 | Anti-1-Amino-3-F-18-Fluorocyclobutane-1-Carboxylic Acid: Physiologic Uptake Patterns, Incidental Findings, and Variants That May Simulate Disease | 20 |
| 13 | 90 | |
| 14 | 58 | |
| 15 | 129 | |
| 16 | 8 | |
| 17 | Contouring Carcinomas by FDG-PET: Is the Role of Tumor Biology Underestimated?: In Regard to MacManus et al | 1 |
| 18 | 3 | |
| 19 | 23 | |
| 20 | 18 |
About Cristina Nanni
Cristina Nanni is a scholar working on Radiology, Nuclear Medicine and Imaging, Hematology and Pulmonary and Respiratory Medicine, having authored 257 papers that have together received 7.7k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (77 papers), Radiomics and Machine Learning in Medical Imaging (38 papers) and Prostate Cancer Treatment and Research (36 papers). The work is most often cited by research in Hematology (1.3k citations), Radiology, Nuclear Medicine and Imaging (2.7k citations) and Pulmonary and Respiratory Medicine (2.6k citations). Cristina Nanni has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Stefano Fanti, Domenico Rubello, Valentina Ambrosini, Paolo Castellucci, Mohsen Farsad, Roberto Franchi, Elena Zamagni, Michèle Cavo, Stefano Boschi and Cinzia Pettinato. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.