Camila Mosci
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine
- Oncology
- Cancer Research
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Andrei IagaruErik MittraSanjiv S. GambhirCelso Darío RamosMehran JamaliRyogo MinamimotoFrederick T. ChinAllan O. Santos
- Topics
- Medical Imaging Techniques and Applications (19 papers)Radiopharmaceutical Chemistry and Applications (12 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)
- Journals
- BloodPLoS ONECancer Research
- Partner nations
- United StatesBrazilSouth Korea
In The Last Decade
Camila Mosci
36 papers receiving 637 citations
Peers
Comparison fields: 5 of 62
- Radiology, Nuclear Medicine and Imaging 365
- Pulmonary and Respiratory Medicine 182
- Oncology 173
- Cancer Research 84
- Endocrinology, Diabetes and Metabolism 77
Countries citing papers authored by Camila Mosci
This map shows the geographic impact of Camila Mosci'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 Camila Mosci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Camila Mosci more than expected).
Fields of papers citing papers by Camila Mosci
This network shows the impact of papers produced by Camila Mosci. 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 Camila Mosci. The network helps show where Camila Mosci may publish in the future.
Co-authorship network of co-authors of Camila Mosci
This figure shows the co-authorship network connecting the top 25 collaborators of Camila Mosci. A scholar is included among the top collaborators of Camila Mosci 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 Camila Mosci. Camila Mosci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 16 | |
| 5 | 18 | |
| 6 | 13 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | 44 | |
| 10 | 33 | |
| 11 | 75 | |
| 12 | 10 | |
| 13 | 9 | |
| 14 | glioblastoma Multiforme r ecurrence: An Exploratory Study of 18 F FPPRGD 2 PET/CT 1 | 2 |
| 15 | 28 | |
| 16 | 40 | |
| 17 | 21 | |
| 18 | 30 | |
| 19 | 3 | |
| 20 | 4 |
About Camila Mosci
Camila Mosci is a scholar working on Microbiology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 36 papers that have together received 642 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (19 papers), Radiopharmaceutical Chemistry and Applications (12 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (365 citations), Oncology (173 citations) and Immunology and Allergy (38 citations). Camila Mosci has collaborated with scholars based in United States, Brazil and South Korea. Frequent co-authors include Andrei Iagaru, Erik Mittra, Sanjiv S. Gambhir, Celso Darío Ramos, Mehran Jamali, Ryogo Minamimoto, Frederick T. Chin, Allan O. Santos, Elba Etchebehere and Andrew Quon. Their work appears in journals such as Blood, PLoS ONE and Cancer Research.
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.