Ruxandra‐Iulia Milos
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Biophysics top 2%
- Co-authors
- Olga GaraschukArthur KonnerthYury KovalchukNima MarandiMadoka NarushimaNathalie L. RochefortBruno PichlerMarco Mank
- Topics
- MRI in cancer diagnosis (5 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)COVID-19 Clinical Research Studies (4 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Ruxandra‐Iulia Milos
37 papers receiving 943 citations
Peers
Comparison fields: 5 of 82
- Cellular and Molecular Neuroscience 454
- Cognitive Neuroscience 300
- Molecular Biology 219
- Radiology, Nuclear Medicine and Imaging 172
- Biophysics 138
Countries citing papers authored by Ruxandra‐Iulia Milos
This map shows the geographic impact of Ruxandra‐Iulia Milos'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 Ruxandra‐Iulia Milos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruxandra‐Iulia Milos more than expected).
Fields of papers citing papers by Ruxandra‐Iulia Milos
This network shows the impact of papers produced by Ruxandra‐Iulia Milos. 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 Ruxandra‐Iulia Milos. The network helps show where Ruxandra‐Iulia Milos may publish in the future.
Co-authorship network of co-authors of Ruxandra‐Iulia Milos
This figure shows the co-authorship network connecting the top 25 collaborators of Ruxandra‐Iulia Milos. A scholar is included among the top collaborators of Ruxandra‐Iulia Milos 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 Ruxandra‐Iulia Milos. Ruxandra‐Iulia Milos 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 | 12 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 4 | |
| 15 | 12 | |
| 16 | 9 | |
| 17 | 2 | |
| 18 | 48 | |
| 19 | 68 | |
| 20 | 189 |
About Ruxandra‐Iulia Milos
Ruxandra‐Iulia Milos is a scholar working on Critical Care and Intensive Care Medicine, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 41 papers that have together received 960 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (454 citations), Biophysics (138 citations) and Cognitive Neuroscience (300 citations). Ruxandra‐Iulia Milos has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Olga Garaschuk, Arthur Konnerth, Yury Kovalchuk, Nima Marandi, Madoka Narushima, Nathalie L. Rochefort, Bruno Pichler, Marco Mank, Christine Grienberger and Michael W. Friedrich. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.
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.