Tamara Ius
Impact in
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
-
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
- Genetics 74
- Glioma Diagnosis and Treatment 73
-
- Advanced Neuroimaging Techniques and Applications 18
- Radiomics and Machine Learning in Medical Imaging 10
- Advanced MRI Techniques and Applications 7
- Co-authors
- Miran Škrap (85 shared papers)Barbara Tomasino (39 shared papers)Riccardo Budai (15 shared papers)Giada Pauletto (27 shared papers)Luciano Fadiga (11 shared papers)Hugues Duffau (2 shared papers)Miriam Isola (17 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)Journal of Personalized Medicine (5 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Tamara Ius
146 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 115
- Genetics 1.1k
- Radiology, Nuclear Medicine and Imaging 507
- Cognitive Neuroscience 357
- Cancer Research 235
- Neurology 218
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 166 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 289 | |
| 2 | 2012 | 229 | |
| 3 | 2017 | 152 | |
| 4 | 2018 | 101 | |
| 5 | 2011 | 96 | |
| 6 | 2014 | 79 | |
| 7 | 2014 | 67 | |
| 8 | 2020 | 66 | |
| 9 | 2016 | 63 | |
| 10 | 2013 | 60 | |
| 11 | 2020 | 60 | |
| 12 | 2023 | 56 | |
| 13 | 2020 | 50 | |
| 14 | 2011 | 48 | |
| 15 | 2015 | 47 | |
| 16 | 2011 | 46 | |
| 17 | 2014 | 40 | |
| 18 | 2020 | 35 | |
| 19 | 2021 | 34 | |
| 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 166 papers that have together received 2.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (73 papers), Meningioma and schwannoma management (26 papers), Advanced Neuroimaging Techniques and Applications (18 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), MicroRNA in disease regulation (8 papers), Neuroblastoma Research and Treatments (7 papers), Neurobiology of Language and Bilingualism (7 papers) and Advanced MRI Techniques and Applications (7 papers). The work is most often cited by research in Genetics (1.1k citations), Radiology, Nuclear Medicine and Imaging (507 citations), Cognitive Neuroscience (357 citations), Cancer Research (235 citations) and Neurology (218 citations). Tamara Ius has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Miran Škrap, Barbara Tomasino, Riccardo Budai, Giada Pauletto, Luciano Fadiga, Hugues Duffau, Miriam Isola, 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 Journal of Personalized Medicine.
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.