Mia Skarpathiotakis
- Pulmonary and Respiratory Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Oncology
- Co-authors
- Martin J. YaffeDonald B. PlewesRoberta A. JongRene ShumakSerge MullerAili K. BloomquistSiobhán RyanBelinda Curpen
- Topics
- Breast Lesions and Carcinomas (4 papers)Breast Cancer Treatment Studies (4 papers)Digital Radiography and Breast Imaging (3 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineArtificial Intelligence
- Partner nations
- CanadaUnited States
In The Last Decade
Mia Skarpathiotakis
8 papers receiving 317 citations
Peers
Comparison fields: 5 of 31
- Pulmonary and Respiratory Medicine 246
- Radiology, Nuclear Medicine and Imaging 245
- Biomedical Engineering 125
- Artificial Intelligence 97
- Oncology 36
Countries citing papers authored by Mia Skarpathiotakis
This map shows the geographic impact of Mia Skarpathiotakis'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 Mia Skarpathiotakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mia Skarpathiotakis more than expected).
Fields of papers citing papers by Mia Skarpathiotakis
This network shows the impact of papers produced by Mia Skarpathiotakis. 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 Mia Skarpathiotakis. The network helps show where Mia Skarpathiotakis may publish in the future.
Co-authorship network of co-authors of Mia Skarpathiotakis
This figure shows the co-authorship network connecting the top 25 collaborators of Mia Skarpathiotakis. A scholar is included among the top collaborators of Mia Skarpathiotakis 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 Mia Skarpathiotakis. Mia Skarpathiotakis 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 | 3 | |
| 3 | 15 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | Specialized education for patients with psoriasis: a patient survey on its value and effectiveness. | 6 |
| 8 | 200 | |
| 9 | 90 |
About Mia Skarpathiotakis
Mia Skarpathiotakis is a scholar working on Cancer Research, Dermatology and Pathology and Forensic Medicine, having authored 9 papers that have together received 327 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (4 papers), Breast Cancer Treatment Studies (4 papers) and Digital Radiography and Breast Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (245 citations), Pulmonary and Respiratory Medicine (246 citations) and Artificial Intelligence (97 citations). Mia Skarpathiotakis has collaborated with scholars based in Canada and United States. Frequent co-authors include Martin J. Yaffe, Donald B. Plewes, Roberta A. Jong, Rene Shumak, Serge Muller, Aili K. Bloomquist, Siobhán Ryan, Belinda Curpen, Afsaneh Alikhassi and Francisco Perera. Their work appears in journals such as Radiology, Medical Physics and Breast Cancer Research and Treatment.
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.