Mirabela Rusu
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Co-authors
- Willy WriggersStefan BirmannsGeoffrey A. SonnRichard E. FanAnant MadabhushiWei ShaoPejman GhanouniSimon John Christoph Soerensen
- Topics
- Prostate Cancer Diagnosis and Treatment (43 papers)Radiomics and Machine Learning in Medical Imaging (38 papers)AI in cancer detection (16 papers)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Mirabela Rusu
78 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 113
- Radiology, Nuclear Medicine and Imaging 516
- Pulmonary and Respiratory Medicine 425
- Artificial Intelligence 290
- Computer Vision and Pattern Recognition 211
- Biomedical Engineering 182
Countries citing papers authored by Mirabela Rusu
This map shows the geographic impact of Mirabela Rusu'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 Mirabela Rusu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirabela Rusu more than expected).
Fields of papers citing papers by Mirabela Rusu
This network shows the impact of papers produced by Mirabela Rusu. 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 Mirabela Rusu. The network helps show where Mirabela Rusu may publish in the future.
Co-authorship network of co-authors of Mirabela Rusu
This figure shows the co-authorship network connecting the top 25 collaborators of Mirabela Rusu. A scholar is included among the top collaborators of Mirabela Rusu 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 Mirabela Rusu. Mirabela Rusu 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 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 9 | |
| 11 | 28 | |
| 12 | 22 | |
| 13 | 4 | |
| 14 | 41 | |
| 15 | 61 | |
| 16 | 138 | |
| 17 | 9 | |
| 18 | 16 | |
| 19 | 12 | |
| 20 | 2 |
About Mirabela Rusu
Mirabela Rusu is a scholar working on Structural Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 84 papers that have together received 1.2k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (43 papers), Radiomics and Machine Learning in Medical Imaging (38 papers) and AI in cancer detection (16 papers). The work is most often cited by research in Structural Biology (108 citations), Biophysics (144 citations) and Radiology, Nuclear Medicine and Imaging (516 citations). Mirabela Rusu has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Willy Wriggers, Stefan Birmanns, Geoffrey A. Sonn, Richard E. Fan, Anant Madabhushi, Wei Shao, Pejman Ghanouni, Simon John Christoph Soerensen, Robert J. Graves and Yousef Al‐Kofahi. Their work appears in journals such as Bioinformatics, Scientific Reports and The FASEB Journal.
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.