Andrada Ianuș

2.0k citations
53 papers · 1.3k · h-index 18

Impact in

Papers in

Andrada Ianuș

52 papers receiving 1.3k citations

Peers

Andrada Ianuș
Comparison fields: 5 of 82
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Computational Mathematics 28
  • Orthopedics and Sports Medicine 179
  • Nuclear and High Energy Physics 94
  • Cognitive Neuroscience 129
Replace Jonathan A.D. Farrell with:
Jonathan A.D. Farrell United States
Sara Brockstedt Sweden
Filip Szczepankiewicz Sweden
Francesco Grussu United Kingdom
Ives R. Levesque Canada
Eleftheria Panagiotaki United Kingdom
Anette Virta Finland
Nathaniel D. Kelm United States
Umesh S. Rudrapatna Netherlands
Lise Vejby Søgaard Denmark
Andrada Ianuș relative to Jonathan A.D. Farrell United States Jonathan A.D. Farrell's profile →
Citations per field
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Jonathan A.D. Farrell · 1×
Citations per year

Countries citing papers authored by Andrada Ianuș

Since Specialization
Citations

This map shows the geographic impact of Andrada Ianuș'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 Andrada Ianuș with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrada Ianuș more than expected).

Fields of papers citing papers by Andrada Ianuș

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrada Ianuș. 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 Andrada Ianuș. The network helps show where Andrada Ianuș may publish in the future.

Co-authors

The 25 scholars most cited alongside Andrada Ianuș, 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 Andrada Ianuș Line = papers co-authored together Andrada Ianuș links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017236
2 2020216
3 201599
4 202272
5 201953
6 201248
7 202245
8 201844
9 202039
10 201634
11 201732
12 201627
13 202027
14 201827
15 201824
16 202221
17 201619
18 202318
19 202215
20 202315

About Andrada Ianuș

Andrada Ianuș is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience and Philosophy, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (39 papers), Advanced MRI Techniques and Applications (28 papers), MRI in cancer diagnosis (26 papers), Bone and Joint Diseases (8 papers), Fetal and Pediatric Neurological Disorders (3 papers), Functional Brain Connectivity Studies (3 papers), Hermeneutics and Narrative Identity (2 papers) and Health, Medicine and Society (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.0k citations), Computational Mathematics (28 citations), Orthopedics and Sports Medicine (179 citations), Nuclear and High Energy Physics (94 citations) and Cognitive Neuroscience (129 citations). Andrada Ianuș has collaborated with scholars based in United Kingdom, Portugal and United States. Frequent co-authors include Daniel C. Alexander, Noam Shemesh, Hui Gary Zhang, Ivana Drobnjak, Marco Alberto Palombo, Daniel Nunes, Sune Nørhøj Jespersen, Michele Guerreri, Francesco Grussu and Torben Schneider. Their work appears in journals such as Magnetic Resonance in Medicine, NeuroImage, Journal of Magnetic Resonance, Nature Medicine and Cancer Research.

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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