T. Cabada

22 papers receiving 499 citations

Peers

T. Cabada
Comparison fields: 5 of 60
  • Radiology, Nuclear Medicine and Imaging 197
  • Neurology 89
  • Surgery 131
  • Cellular and Molecular Neuroscience 53
  • Genetics 29
Replace Duk Hyun Sung with:
Duk Hyun Sung South Korea
R. van den Bergh Belgium
Nada Bešenski Croatia
Semiha Kurt Türkiye
Hironori Kamano Japan
Tatjana Stošić-Opinćal Serbia
K. Buffenoir France
Mayank Kaushal United States
İbrahim Sacit Tuna United States
Thomas N. Witt Germany
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Citations per field
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Duk Hyun Sung · 1×
Citations per year

Countries citing papers authored by T. Cabada

Since Specialization
Citations

This map shows the geographic impact of T. Cabada'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 T. Cabada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Cabada more than expected).

Fields of papers citing papers by T. Cabada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000169
2 201557
3 201735
4 201730
5 199827
6 201824
7 199523
8 201523
9 201920
10 202018
11 202016
12 201714
13 202013
14 201110
15 200910
16 20079
17 20058
18 20125
19 20033
20
[Cocaine-induced brain stem stroke associated to craneal midline destructive lesions].
20082

About T. Cabada

T. Cabada is a scholar working on Neurology, Surgery, Genetics, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 520 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (4 papers), Glioma Diagnosis and Treatment (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Genetic Neurodegenerative Diseases (2 papers), Neurological disorders and treatments (2 papers), Neurological and metabolic disorders (2 papers) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (197 citations), Neurology (89 citations), Surgery (131 citations), Cellular and Molecular Neuroscience (53 citations) and Genetics (29 citations). T. Cabada has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Rosa Cozcolluela, Pablo Lecumberri, C. C. Tchoyoson Lim, Andreas Wienke, Marisol Gómez, Daniel Thomas Ginat, Alexey Surov, Bahattin Hakyemez, Akira Yogi and Eser Sanverdi. Their work appears in journals such as Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Neuroradiology, Archives of Clinical Neuropsychology, Psychological Medicine and Translational Oncology.

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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