Tamara Ius
Impact in
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
- Genetics 69
- Glioma Diagnosis and Treatment 68
-
- Advanced Neuroimaging Techniques and Applications 16
- Radiomics and Machine Learning in Medical Imaging 10
- Advanced MRI Techniques and Applications 7
- Co-authors
- Miran Škrap (78 shared papers)Barbara Tomasino (36 shared papers)Giada Pauletto (26 shared papers)Riccardo Budai (14 shared papers)Luciano Fadiga (11 shared papers)Miriam Isola (17 shared papers)Hugues Duffau (2 shared papers)Michel Thiebaut de Schotten (1 shared paper)
- Journals
- Cancers (15 papers)World Neurosurgery (10 papers)International Journal of Molecular Sciences (8 papers)Journal of Clinical Medicine (6 papers)Clinical Neurology and Neurosurgery (5 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Tamara Ius
141 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 112
- Genetics 1.0k
- Radiology, Nuclear Medicine and Imaging 467
- Cognitive Neuroscience 331
- Cancer Research 228
- Neurology 204
Countries citing papers authored by Tamara Ius
This map shows the geographic impact of Tamara Ius'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 Tamara Ius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara Ius more than expected).
Fields of papers citing papers by Tamara Ius
This network shows the impact of papers produced by Tamara Ius. 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 Tamara Ius. The network helps show where Tamara Ius may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamara Ius, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 264 | |
| 2 | 2012 | 222 | |
| 3 | 2017 | 150 | |
| 4 | 2018 | 99 | |
| 5 | 2011 | 89 | |
| 6 | 2014 | 75 | |
| 7 | 2020 | 66 | |
| 8 | 2014 | 62 | |
| 9 | 2020 | 59 | |
| 10 | 2016 | 57 | |
| 11 | 2013 | 57 | |
| 12 | 2023 | 54 | |
| 13 | 2020 | 48 | |
| 14 | 2011 | 48 | |
| 15 | 2015 | 46 | |
| 16 | 2014 | 40 | |
| 17 | 2020 | 35 | |
| 18 | 2021 | 33 | |
| 19 | 2011 | 31 | |
| 20 | 2017 | 30 |
About Tamara Ius
Tamara Ius is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Epidemiology, Neurology and Surgery, having authored 159 papers that have together received 2.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (68 papers), Meningioma and schwannoma management (24 papers), Advanced Neuroimaging Techniques and Applications (16 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Neuroblastoma Research and Treatments (7 papers), Neurobiology of Language and Bilingualism (7 papers), Advanced MRI Techniques and Applications (7 papers) and MicroRNA in disease regulation (7 papers). The work is most often cited by research in Genetics (1.0k citations), Radiology, Nuclear Medicine and Imaging (467 citations), Cognitive Neuroscience (331 citations), Cancer Research (228 citations) and Neurology (204 citations). Tamara Ius has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Miran Škrap, Barbara Tomasino, Giada Pauletto, Riccardo Budai, Luciano Fadiga, Miriam Isola, Hugues Duffau, Michel Thiebaut de Schotten, Emmanuel Mandonnet and Elsa D. Angelini. Their work appears in journals such as Cancers, World Neurosurgery, International Journal of Molecular Sciences, Journal of Clinical Medicine and Clinical Neurology and Neurosurgery.
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.