Marta Vučković

898 total citations
10 papers, 757 citations indexed

About

Marta Vučković is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Marta Vučković has authored 10 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 6 papers in Neurology and 5 papers in Molecular Biology. Recurrent topics in Marta Vučković's work include Parkinson's Disease Mechanisms and Treatments (5 papers), Neurological disorders and treatments (4 papers) and Retinoids in leukemia and cellular processes (3 papers). Marta Vučković is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (5 papers), Neurological disorders and treatments (4 papers) and Retinoids in leukemia and cellular processes (3 papers). Marta Vučković collaborates with scholars based in United States and France. Marta Vučković's co-authors include Giselle M. Petzinger, Michael W. Jakowec, Garnik Akopian, Daniel M. Togasaki, John P. Walsh, Ruth I. Wood, Beth E. Fisher, Elizabeth Hogg, John Walsh and Daniel P. Holschneider and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Diabetes.

In The Last Decade

Marta Vučković

10 papers receiving 739 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marta Vučković United States 9 422 345 133 116 100 10 757
María E. Reverón United States 9 326 0.8× 315 0.9× 62 0.5× 74 0.6× 70 0.7× 9 592
Ewelina Pałasz Poland 8 168 0.4× 256 0.7× 155 1.2× 118 1.0× 109 1.1× 17 587
Daniel M. Togasaki United States 18 795 1.9× 742 2.2× 265 2.0× 149 1.3× 166 1.7× 25 1.3k
Caroline Cristiano Real Brazil 19 255 0.6× 337 1.0× 176 1.3× 168 1.4× 181 1.8× 54 941
Birgit Herting Germany 21 809 1.9× 282 0.8× 97 0.7× 87 0.8× 119 1.2× 32 1.3k
Melanie Brandabur United States 8 181 0.4× 299 0.9× 121 0.9× 143 1.2× 60 0.6× 14 565
Yongsheng Yuan China 20 693 1.6× 197 0.6× 147 1.1× 103 0.9× 151 1.5× 71 1.1k
Tuhin Virmani United States 15 237 0.6× 522 1.5× 462 3.5× 150 1.3× 44 0.4× 49 1.1k
Jocemar Ilha Brazil 20 133 0.3× 337 1.0× 119 0.9× 261 2.3× 178 1.8× 61 1.0k
Brigida Minafra Italy 17 647 1.5× 299 0.9× 161 1.2× 147 1.3× 259 2.6× 35 1.0k

Countries citing papers authored by Marta Vučković

Since Specialization
Citations

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

Fields of papers citing papers by Marta Vučković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Vučković

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Vučković. A scholar is included among the top collaborators of Marta Vučković 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 Marta Vučković. Marta Vučković is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Zhao, Yaxin, et al.. (2021). Retinoic acid exerts sexually dimorphic effects on muscle energy metabolism and function. Journal of Biological Chemistry. 297(3). 101101–101101. 8 indexed citations
2.
Krois, Charles R., Marta Vučković, Jin Hong Min, et al.. (2019). RDH1 suppresses adiposity by promoting brown adipose adaptation to fasting and re-feeding. Cellular and Molecular Life Sciences. 76(12). 2425–2447. 15 indexed citations
5.
Petzinger, Giselle M., Beth E. Fisher, Garnik Akopian, et al.. (2011). The Role of Exercise in Facilitating Basal Ganglia Function in Parkinson’s Disease. Neurodegenerative Disease Management. 1(2). 157–170. 15 indexed citations
6.
Vučković, Marta, et al.. (2010). Exercise effects on motor and affective behavior and catecholamine neurochemistry in the MPTP-lesioned mouse. Behavioural Brain Research. 213(2). 253–262. 98 indexed citations
7.
Vučković, Marta, Beth E. Fisher, Angelo Nacca, et al.. (2010). High intensity treadmill exercise upregulates striatal dopamine D2 receptor in 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-lesioned mice: in vivo PET-imaging with 18F-fallypride. 1 indexed citations
8.
Petzinger, Giselle M., et al.. (2009). Altered AMPA receptor expression with treadmill exercise in the 1‐methyl‐4‐phenyl‐1,2,3,6‐tetrahydropyridine‐lesioned mouse model of basal ganglia injury. Journal of Neuroscience Research. 88(3). 650–668. 83 indexed citations
9.
Vučković, Marta, Ruth I. Wood, Daniel P. Holschneider, et al.. (2008). Memory, mood, dopamine, and serotonin in the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-lesioned mouse model of basal ganglia injury. Neurobiology of Disease. 32(2). 319–327. 90 indexed citations
10.
Petzinger, Giselle M., John Walsh, Garnik Akopian, et al.. (2007). Effects of Treadmill Exercise on Dopaminergic Transmission in the 1-Methyl-4-Phenyl-1,2,3,6-Tetrahydropyridine-Lesioned Mouse Model of Basal Ganglia Injury. Journal of Neuroscience. 27(20). 5291–5300. 269 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026