Tamara Ius

4.2k citations
179 papers · 3.1k · h-index 26

Impact in

Papers in

Tamara Ius

159 papers receiving 3.1k citations

Peers

Tamara Ius
Comparison fields: 5 of 121
  • Genetics 1.2k
  • Radiology, Nuclear Medicine and Imaging 557
  • Cancer Research 290
  • Cognitive Neuroscience 375
  • Neurology 236
Replace Jacob S. Young with:
Jacob S. Young United States
Laurent Capelle France
Giorgio Giovanni Carrabba Italy
Carlo Giorgio Giussani Italy
Ulrich Roelcke Switzerland
Katharine Jann Drummond Australia
Naohiro Tsuyuguchi Japan
Kazuya Motomura Japan
Francesco Acerbi Italy
Gabriele Pöpperl Germany
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Citations per field
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Citations per year

Countries citing papers authored by Tamara Ius

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tamara Ius Line = papers co-authored together Tamara Ius links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011301
2 2012239
3 2017153
4 2018103
5 201199
6 201382
7 201481
8 202070
9 201469
10 201666
11 202365
12 201361
13 202060
14 202052
15 201550
16 201148
17 201146
18 201441
19 202037
20 201737

About Tamara Ius

Tamara Ius is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Neurology, Epidemiology and Cognitive Neuroscience, having authored 179 papers that have together received 3.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (79 papers), Meningioma and schwannoma management (29 papers), Advanced Neuroimaging Techniques and Applications (18 papers), Extracellular vesicles in disease (9 papers), MicroRNA in disease regulation (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced MRI Techniques and Applications (7 papers) and Neuroblastoma Research and Treatments (7 papers). The work is most often cited by research in Genetics (1.2k citations), Radiology, Nuclear Medicine and Imaging (557 citations), Cancer Research (290 citations), Cognitive Neuroscience (375 citations) and Neurology (236 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, Hugues Duffau, Miriam Isola, Elsa D. Angelini, Emmanuel Mandonnet and Michel Thiebaut de Schotten. Their work appears in journals such as Cancers, World Neurosurgery, International Journal of Molecular Sciences, Journal of Clinical Medicine and Neurosurgical Review.

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.

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