Dušan Dobrota

3.6k total citations
154 papers, 2.9k citations indexed

About

Dušan Dobrota is a scholar working on Molecular Biology, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Dušan Dobrota has authored 154 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 20 papers in Physiology and 17 papers in Pathology and Forensic Medicine. Recurrent topics in Dušan Dobrota's work include Mitochondrial Function and Pathology (23 papers), Advanced MRI Techniques and Applications (13 papers) and Biochemical effects in animals (12 papers). Dušan Dobrota is often cited by papers focused on Mitochondrial Function and Pathology (23 papers), Advanced MRI Techniques and Applications (13 papers) and Biochemical effects in animals (12 papers). Dušan Dobrota collaborates with scholars based in Slovakia, Russia and Czechia. Dušan Dobrota's co-authors include Peter Kaplán, Ján Lehotský, Peter Račay, Zuzana Tatarková, Eva Babušíková, А. А. Болдырев, A Drgová, Jozef Hatok, Milena Matejovičová and Miloš Jeseňák and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Annals of the New York Academy of Sciences.

In The Last Decade

Dušan Dobrota

149 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dušan Dobrota Slovakia 30 1.1k 709 275 268 228 154 2.9k
Nilkantha Sen United States 33 2.5k 2.4× 930 1.3× 302 1.1× 262 1.0× 273 1.2× 54 4.9k
Mutay Aslan Türkiye 32 1.3k 1.2× 774 1.1× 219 0.8× 202 0.8× 87 0.4× 134 3.7k
Ting‐Ting Huang United States 31 2.3k 2.2× 890 1.3× 227 0.8× 331 1.2× 195 0.9× 84 4.7k
Jing Cao China 34 1.3k 1.2× 985 1.4× 169 0.6× 439 1.6× 81 0.4× 128 3.5k
Hongfang Jin China 45 1.7k 1.6× 1.5k 2.1× 451 1.6× 135 0.5× 198 0.9× 312 6.9k
Gloria A. Benavides United States 32 2.3k 2.2× 968 1.4× 388 1.4× 165 0.6× 177 0.8× 66 4.9k
Celia Quijano Uruguay 24 1.8k 1.7× 1.5k 2.1× 164 0.6× 173 0.6× 203 0.9× 43 3.7k
Yuko Suzuki Japan 34 1.2k 1.1× 339 0.5× 468 1.7× 370 1.4× 187 0.8× 202 3.8k
Gu Seob Roh South Korea 37 1.7k 1.6× 894 1.3× 219 0.8× 411 1.5× 65 0.3× 149 4.1k
Arturo J. Cardounel United States 39 1.6k 1.5× 1.2k 1.7× 315 1.1× 286 1.1× 188 0.8× 83 4.6k

Countries citing papers authored by Dušan Dobrota

Since Specialization
Citations

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

Fields of papers citing papers by Dušan Dobrota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dušan Dobrota

This figure shows the co-authorship network connecting the top 25 collaborators of Dušan Dobrota. A scholar is included among the top collaborators of Dušan Dobrota 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 Dušan Dobrota. Dušan Dobrota 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.
Sivoňová, Monika Kmeťová, et al.. (2025). Association Between the Aromatase rs2414096 Polymorphism and Prostate Cancer. Bratislavské lekárske listy/Bratislava medical journal. 126(2). 149–155.
2.
Hnilicová, Petra, Ema Kantorová, Hubert Poláček, et al.. (2019). Altered hypothalamic metabolism in early multiple sclerosis – MR spectroscopy study. Journal of the Neurological Sciences. 407. 116458–116458. 11 indexed citations
3.
Čierný, Daniel, Ján Lehotský, Ema Kantorová, et al.. (2017). The age at onset in Multiple Sclerosis is associated with patient’s prognosis. Bratislavské lekárske listy/Bratislava medical journal. 118(6). 374–377. 25 indexed citations
4.
Hnilicová, Petra, et al.. (2017). Proton MR spectroscopic imaging of human glioblastomas at 1.5 Tesla. General Physiology and Biophysics. 36(5). 531–537. 4 indexed citations
5.
Lehotský, Ján, et al.. (2016). Role of Homocysteine in the Ischemic Stroke and Development of Ischemic Tolerance. Frontiers in Neuroscience. 10. 538–538. 91 indexed citations
6.
Kolarovszki, Branislav, et al.. (2015). Apoptosis-related gene expression in tumor tissue samples obtained from patients diagnosed with glioblastoma multiforme. International Journal of Molecular Medicine. 36(6). 1677–1684. 24 indexed citations
7.
Husarova, Veronika, Michal Bittšanský, Igor Ondrejka, & Dušan Dobrota. (2014). Correlations of ADHD symptoms with neurometabolites measured by 1H magnetic resonance spectroscopy. Bratislavské lekárske listy/Bratislava medical journal. 115(10). 635–642. 8 indexed citations
8.
Tatarková, Zuzana, et al.. (2014). Effect of aging on formation of reactive oxygen species by mitochondria of rat heart. General Physiology and Biophysics. 32(3). 415–420. 32 indexed citations
9.
Adamkov, Marián, et al.. (2012). Expression of Ki-67, Bcl-2, Survivin and p53 Proteins in Patients with Pulmonary Carcinoma. Advances in experimental medicine and biology. 756. 15–21. 22 indexed citations
10.
Babušíková, Eva, Ján Lehotský, Dušan Dobrota, Peter Račay, & Peter Kaplán. (2012). Age-Associated Changes in Ca2+-ATPase and Oxidative Damage in Sarcoplasmic Reticulum of Rat Heart. Physiological Research. 61(5). 453–460. 35 indexed citations
11.
Matáková, Tatiana, et al.. (2011). Lung Adenocarcinoma and Squamous Cell Carcinoma in association with Genetic Polymorphisms of GSTs in Slovak Population. Neoplasma. 59(2). 160–167. 8 indexed citations
12.
Račay, Peter, et al.. (2009). Ischemia-Induced Mitochondrial Apoptosis is Significantly Attenuated by Ischemic Preconditioning. Cellular and Molecular Neurobiology. 29(6-7). 901–908. 29 indexed citations
13.
Hanes, Jozef, et al.. (2009). Rat tau proteome consists of six tau isoforms: implication for animal models of human tauopathies. Journal of Neurochemistry. 108(5). 1167–1176. 81 indexed citations
14.
Sivoňová, Monika Kmeťová, Peter Kaplán, Zdeňka Ďuračková, et al.. (2007). Time Course of Peripheral Oxidative Stress as Consequence of Global Ischaemic Brain Injury in Rats. Cellular and Molecular Neurobiology. 28(3). 431–441. 17 indexed citations
15.
Babušíková, Eva, Dušan Dobrota, A Drgová, et al.. (2006). Impact of Ginkgo Biloba Extract EGb 761 on Ischemia/Reperfusion – Induced Oxidative Stress Products Formation in Rat Forebrain. Cellular and Molecular Neurobiology. 26(7-8). 1341–1351. 25 indexed citations
16.
Brezová, Vlasta, Marián Valko, J Horecký, et al.. (2005). Study of the oxidative stress in a rat model of chronic brain hypoperfusion. Neurochemistry International. 46(8). 601–611. 89 indexed citations
17.
Dobrota, Dušan. (2000). Preface. Brain Research Bulletin. 53(4). 371–371. 2 indexed citations
18.
Kukley, Maria, et al.. (1999). Carnosine: An Endogenous Neuroprotector in the Ischemic Brain. Cellular and Molecular Neurobiology. 19(1). 45–56. 41 indexed citations
19.
Martinka, Emil, et al.. (1998). Endogenous Digoxin-like Immunoactivity in Subjects With Diabetes Mellitus and Hypertension. American Journal of Hypertension. 11(6). 667–676. 3 indexed citations
20.
Kurella, Ekaterina G., Maria Kukley, O. V. Tyulina, et al.. (1997). Kinetic Parameters of Na/K‐ATPase Modified by Free Radicals in Vitro and in Vivoa. Annals of the New York Academy of Sciences. 834(1). 661–665. 44 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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