Miriam Dolciami
- Radiology, Nuclear Medicine and Imaging top 10%
- Obstetrics and Gynecology top 5%
- Reproductive Medicine top 5%
- Pulmonary and Respiratory Medicine
- Oncology
- Co-authors
- Lucia ManganaroCarlo CatalanoStefania RizzoPaolo RicciAngelina PernazzaAndrea PapadiaFilippo Del GrandeStefano Bracci
- Topics
- Endometrial and Cervical Cancer Treatments (13 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)Endometriosis Research and Treatment (6 papers)
- Journals
- RadiologyInternational Journal of Environmental Research and Public HealthAnnals of Surgical Oncology
- Partner nations
- ItalySwitzerlandPortugal
In The Last Decade
Miriam Dolciami
20 papers receiving 352 citations
Peers
Comparison fields: 5 of 41
- Radiology, Nuclear Medicine and Imaging 215
- Obstetrics and Gynecology 149
- Reproductive Medicine 124
- Pulmonary and Respiratory Medicine 69
- Oncology 47
Countries citing papers authored by Miriam Dolciami
This map shows the geographic impact of Miriam Dolciami'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 Miriam Dolciami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Dolciami more than expected).
Fields of papers citing papers by Miriam Dolciami
This network shows the impact of papers produced by Miriam Dolciami. 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 Miriam Dolciami. The network helps show where Miriam Dolciami may publish in the future.
Co-authorship network of co-authors of Miriam Dolciami
This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Dolciami. A scholar is included among the top collaborators of Miriam Dolciami 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 Miriam Dolciami. Miriam Dolciami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 10 | |
| 6 | 27 | |
| 7 | 7 | |
| 8 | 16 | |
| 9 | 2 | |
| 10 | 23 | |
| 11 | 9 | |
| 12 | 3 | |
| 13 | 12 | |
| 14 | 18 | |
| 15 | 42 | |
| 16 | 4 | |
| 17 | 14 | |
| 18 | 29 | |
| 19 | 39 | |
| 20 | 36 |
About Miriam Dolciami
Miriam Dolciami is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 355 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (13 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Endometriosis Research and Treatment (6 papers). The work is most often cited by research in Obstetrics and Gynecology (149 citations), Reproductive Medicine (124 citations) and Radiology, Nuclear Medicine and Imaging (215 citations). Miriam Dolciami has collaborated with scholars based in Italy, Switzerland and Portugal. Frequent co-authors include Lucia Manganaro, Carlo Catalano, Stefania Rizzo, Paolo Ricci, Angelina Pernazza, Andrea Papadia, Filippo Del Grande, Stefano Bracci, Giulia d’Amati and Maria Grazia Porpora. Their work appears in journals such as Radiology, International Journal of Environmental Research and Public Health and Annals of Surgical Oncology.
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.