Eva Dražanová

515 total citations
21 papers, 253 citations indexed

About

Eva Dražanová is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Eva Dražanová has authored 21 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Neurology and 3 papers in Cognitive Neuroscience. Recurrent topics in Eva Dražanová's work include Advanced Neuroimaging Techniques and Applications (11 papers), Advanced MRI Techniques and Applications (10 papers) and Parkinson's Disease Mechanisms and Treatments (6 papers). Eva Dražanová is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (11 papers), Advanced MRI Techniques and Applications (10 papers) and Parkinson's Disease Mechanisms and Treatments (6 papers). Eva Dražanová collaborates with scholars based in Czechia, Hungary and Norway. Eva Dražanová's co-authors include Jana Kučerová, Zenon Starčuk, Nikoletta Szabó, Irena Rektorová, Tomáš Kašpárek, Amit Khairnar, Tibor Štark, Vincenzo Micale, Birgit Hutter‐Paier and Alexandra Šulcová and has published in prestigious journals such as Scientific Reports, Journal of Neurochemistry and Magnetic Resonance in Medicine.

In The Last Decade

Eva Dražanová

18 papers receiving 249 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eva Dražanová Czechia 10 93 65 62 33 33 21 253
Alicia Meconi Canada 9 36 0.4× 64 1.0× 181 2.9× 44 1.3× 55 1.7× 9 332
Nooshin Abbasi Canada 11 62 0.7× 32 0.5× 143 2.3× 50 1.5× 107 3.2× 14 305
Thomas Bienert Germany 9 76 0.8× 53 0.8× 22 0.4× 80 2.4× 83 2.5× 11 243
José Miguel Brito Armas Spain 6 25 0.3× 52 0.8× 46 0.7× 66 2.0× 13 0.4× 10 204
Emily Tanzi United States 7 54 0.6× 16 0.2× 42 0.7× 91 2.8× 21 0.6× 17 221
Huiyue Chen China 8 103 1.1× 38 0.6× 200 3.2× 83 2.5× 124 3.8× 27 321
Ricard López‐Ortega Spain 9 25 0.3× 61 0.9× 44 0.7× 52 1.6× 54 1.6× 19 272
Elizabeth Ensink United States 6 28 0.3× 174 2.7× 125 2.0× 41 1.2× 53 1.6× 7 380
Guanglu Li China 9 45 0.5× 71 1.1× 226 3.6× 73 2.2× 66 2.0× 16 368
Jonah Doustar United States 5 87 0.9× 83 1.3× 20 0.3× 31 0.9× 11 0.3× 6 238

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-authorship network of co-authors of Eva Dražanová

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Dražanová. A scholar is included among the top collaborators of Eva Dražanová based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva Dražanová. Eva Dražanová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Kučera, Jan, et al.. (2024). Potent synergistic effects of dulaglutide and food restriction in prevention of olanzapine-induced metabolic adverse effects in a rodent model. Biomedicine & Pharmacotherapy. 176. 116763–116763. 1 indexed citations
3.
Hendrych, Michal, et al.. (2024). Heart Remodelling Affects ECG in Rat DOCA/Salt Model. Physiological Research. 73(Suppl. 3). S727–S735.
4.
Jiřík, Radovan, Michal Hendrych, Eva Dražanová, et al.. (2023). T1 mapping of myocardium in rats using self‐gated golden‐angle acquisition. Magnetic Resonance in Medicine. 91(1). 368–380. 2 indexed citations
5.
Dražanová, Eva, et al.. (2022). Laterality in functional and metabolic state of the bulbectomised rat brain detected by ASL and 1H MRS: A pilot study. The World Journal of Biological Psychiatry. 24(5). 414–428. 2 indexed citations
6.
Khairnar, Amit, Jana Kučerová, Eva Dražanová, et al.. (2021). Diffusion kurtosis imaging detects the time‐dependent progress of pathological changes in the oral rotenone mouse model of Parkinson's disease. Journal of Neurochemistry. 158(3). 779–797. 11 indexed citations
7.
Kučerová, Jana, Eva Dražanová, Nikoletta Szabó, et al.. (2019). Diffusion Kurtosis Imaging Detects Microstructural Changes in a Methamphetamine-Induced Mouse Model of Parkinson’s Disease. Neurotoxicity Research. 36(4). 724–735. 12 indexed citations
8.
Jiřík, Radovan, Torfinn Taxt, Michal Bartoš, et al.. (2019). Blind deconvolution estimation of an arterial input function for small animal DCE-MRI. Magnetic Resonance Imaging. 62. 46–56. 8 indexed citations
9.
Dražanová, Eva, Zuzana Babinská, Hana Kotolová, et al.. (2019). Olanzapine exposure diminishes perfusion and decreases volume of sensorimotor cortex in rats. Pharmacological Reports. 71(5). 839–847. 7 indexed citations
10.
Dražanová, Eva, Jana Kučerová, Tibor Štark, et al.. (2019). Different effects of prenatal MAM vs. perinatal THC exposure on regional cerebral blood perfusion detected by Arterial Spin Labelling MRI in rats. Scientific Reports. 9(1). 6062–6062. 31 indexed citations
11.
Zikmund, Tomáš, Markéta Tesařová, Markéta Kaucká, et al.. (2018). High-contrast differentiation resolution 3D imaging of rodent brain by X-ray computed microtomography. Journal of Instrumentation. 13(2). C02039–C02039. 13 indexed citations
12.
Khairnar, Amit, Nikoletta Szabó, Eva Dražanová, et al.. (2017). Early and progressive microstructural brain changes in miceoverexpressing human alpha-Synuclein detected by diffusionkurtosis imaging. Brain Behavior and Immunity. 61. 6 indexed citations
13.
14.
Kučerová, Jana, Eva Dražanová, Michal Karpíšek, et al.. (2017). Aripiprazole-induced adverse metabolic alterations in polyI:C neurodevelopmental model of schizophrenia in rats. Neuropharmacology. 123. 148–158. 15 indexed citations
15.
Večeřa, Josef, Eva Bártová, Jana Krejčí, et al.. (2017). HDAC1 and HDAC3 underlie dynamic H3K9 acetylation during embryonic neurogenesis and in schizophrenia‐like animals. Journal of Cellular Physiology. 233(1). 530–548. 60 indexed citations
16.
Khairnar, Amit, Jana Kučerová, Nikoletta Szabó, et al.. (2016). Early and progressive microstructural brain changes in mice overexpressing human α-Synuclein detected by diffusion kurtosis imaging. Brain Behavior and Immunity. 61. 197–208. 29 indexed citations
17.
Jiřík, Radovan, et al.. (2016). Comparison of the ATH and 2CXM models using low- andhigh-molecular-weight contrast agents in DCE-MRI. ASEP. 2016(29). 2 indexed citations
18.
Khairnar, Amit, Peter Latta, Eva Dražanová, et al.. (2015). Diffusion Kurtosis Imaging Detects Microstructural Alterations in Brain of α-Synuclein Overexpressing Transgenic Mouse Model of Parkinson’s Disease: A Pilot Study. Neurotoxicity Research. 28(4). 281–289. 15 indexed citations
19.
Khairnar, Amit, Jana Kučerová, Eva Dražanová, et al.. (2015). Late‐stage α‐synuclein accumulation in TNWT‐61 mouse model of Parkinson's disease detected by diffusion kurtosis imaging. Journal of Neurochemistry. 136(6). 1259–1269. 15 indexed citations
20.
Jiřík, Radovan, Karel Souček, Michal Bartoš, et al.. (2014). Blind deconvolution in dynamic contrast-enhanced MRI and ultrasound. PubMed. 20. 4276–4279. 8 indexed citations

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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