Eva Dražanová

533 citations
21 papers · 265 · h-index 10

Impact in

Papers in

    • Advanced Neuroimaging Techniques and Applications 8
    • Advanced MRI Techniques and Applications 7
    • MRI in cancer diagnosis 5
    • Cardiac Imaging and Diagnostics 1
    • Parkinson's Disease Mechanisms and Treatments 6
    • Botulinum Toxin and Related Neurological Disorders 2

Eva Dražanová

18 papers receiving 262 citations

Peers

Eva Dražanová
Comparison fields: 5 of 62
  • Biological Psychiatry 17
  • Radiology, Nuclear Medicine and Imaging 81
  • Neurology 53
  • Structural Biology 3
  • Sensory Systems 9
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Citations per year

Countries citing papers authored by Eva Dražanová

Since Specialization
Citations

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

Fields of papers citing papers by Eva Dražanová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201764
2 201934
3 201630
4 201516
5 201716
6 201716
7 201516
8 201813
9 201912
10 202111
11 20198
12 20198
13 20148
14
Early and progressive microstructural brain changes in miceoverexpressing human alpha-Synuclein detected by diffusionkurtosis imaging
20176
15 20222
16 20232
17
Comparison of the ATH and 2CXM models using low- andhigh-molecular-weight contrast agents in DCE-MRI
20162
18 20241
19 20250
20 20240

About Eva Dražanová

Eva Dražanová is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Biomedical Engineering, Genetics and Molecular Biology, having authored 21 papers that have together received 265 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (8 papers), Advanced MRI Techniques and Applications (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), MRI in cancer diagnosis (5 papers), Ultrasound and Hyperthermia Applications (3 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), Cardiac Imaging and Diagnostics (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Biological Psychiatry (17 citations), Radiology, Nuclear Medicine and Imaging (81 citations), Neurology (53 citations), Structural Biology (3 citations) and Sensory Systems (9 citations). Eva Dražanová has collaborated with scholars based in Czechia, Hungary and Norway. Frequent co-authors include Jana Kučerová, Zenon Starčuk, Amit Khairnar, Nikoletta Szabó, Irena Rektorová, Vincenzo Micale, Tomáš Kašpárek, Tibor Štark, Birgit Hutter‐Paier and Alexandra Šulcová. Their work appears in journals such as Neurotoxicity Research, Brain Behavior and Immunity, Journal of Neurochemistry, Magnetic Resonance in Medicine and Biomedicine & Pharmacotherapy.

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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