Mario Vukšić

1.5k total citations · 1 hit paper
28 papers, 1.0k citations indexed

About

Mario Vukšić is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Mario Vukšić has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 8 papers in Cognitive Neuroscience and 8 papers in Developmental Neuroscience. Recurrent topics in Mario Vukšić's work include Neuroscience and Neuropharmacology Research (10 papers), Neurogenesis and neuroplasticity mechanisms (8 papers) and Neonatal and fetal brain pathology (6 papers). Mario Vukšić is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Neurogenesis and neuroplasticity mechanisms (8 papers) and Neonatal and fetal brain pathology (6 papers). Mario Vukšić collaborates with scholars based in Croatia, Germany and United States. Mario Vukšić's co-authors include Thomas Deller, Goran Šimić, Udo Rüb, Rob A. I. de Vos, Patrick R. Hof, Damir Mulc, Francisco E. Olucha‐Bordonau, Ena Španić, Marina Šagud and Vana Vukić and has published in prestigious journals such as The Journal of Comparative Neurology, Scientific Reports and Brain Research.

In The Last Decade

Mario Vukšić

26 papers receiving 994 citations

Hit Papers

Understanding Emotions: Origins and Roles of the Amygdala 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Vukšić Croatia 14 335 210 195 179 171 28 1.0k
Luciana Romina Frick United States 25 379 1.1× 379 1.8× 278 1.4× 101 0.6× 220 1.3× 38 1.5k
Georgia Gunner United States 10 340 1.0× 256 1.2× 147 0.8× 96 0.5× 373 2.2× 14 1.0k
Kai Diederich Germany 19 258 0.8× 186 0.9× 137 0.7× 152 0.8× 525 3.1× 47 1.2k
Matthias Pawlowski Germany 15 247 0.7× 346 1.6× 95 0.5× 171 1.0× 191 1.1× 34 965
Daisuke Kato Japan 16 453 1.4× 272 1.3× 181 0.9× 357 2.0× 759 4.4× 48 1.7k
Norbert Ulfig Germany 21 440 1.3× 340 1.6× 259 1.3× 141 0.8× 186 1.1× 76 1.4k
Linda Scoriels United Kingdom 14 219 0.7× 182 0.9× 254 1.3× 110 0.6× 75 0.4× 36 936
Amy Mahan United States 10 491 1.5× 457 2.2× 339 1.7× 40 0.2× 139 0.8× 13 1.6k
Einav Sudai Israel 7 465 1.4× 234 1.1× 136 0.7× 126 0.7× 646 3.8× 9 1.3k
Maximiliano Rapanelli United States 20 207 0.6× 272 1.3× 232 1.2× 52 0.3× 71 0.4× 29 952

Countries citing papers authored by Mario Vukšić

Since Specialization
Citations

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

Fields of papers citing papers by Mario Vukšić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Vukšić

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Vukšić. A scholar is included among the top collaborators of Mario Vukšić 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 Mario Vukšić. Mario Vukšić 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.
Schneider, Rebecca, et al.. (2025). Gradual transition of pyramidal cell types in the dorsal hippocampal area CA2b of the C57BL/6 mouse. Scientific Reports. 15(1). 29345–29345.
2.
Mulc, Damir, et al.. (2024). Fetal development of the human amygdala. The Journal of Comparative Neurology. 532(1). e25580–e25580. 2 indexed citations
4.
Šimić, Goran, Željka Krsnik, M. Mathiasen, et al.. (2022). Prenatal development of the human entorhinal cortex. The Journal of Comparative Neurology. 530(15). 2711–2748. 7 indexed citations
5.
6.
Šimić, Goran, Mladenka Tkalčić, Vana Vukić, et al.. (2021). Understanding Emotions: Origins and Roles of the Amygdala. Biomolecules. 11(6). 823–823. 255 indexed citations breakdown →
7.
Raguž, Marina, et al.. (2021). Structural Changes in the Cortico-Ponto-Cerebellar Axis at Birth are Associated with Abnormal Neurological Outcomes in Childhood. Clinical Neuroradiology. 31(4). 1005–1020. 5 indexed citations
9.
Kasprian, Gregor, Ernst Schwartz, Michael Weber, et al.. (2019). Underdevelopment of the Human Hippocampus in Callosal Agenesis: An In Vivo Fetal MRI Study. American Journal of Neuroradiology. 40(3). 576–581. 9 indexed citations
10.
Cuntz, Hermann, et al.. (2016). A general homeostatic principle following lesion induced dendritic remodeling. Acta Neuropathologica Communications. 4(1). 19–19. 21 indexed citations
11.
Kostović, Ivica, Goran Sedmak, Mario Vukšić, & Miloš Judáš. (2014). The Relevance of Human Fetal Subplate Zone for Developmental Neuropathology of Neuronal Migration Disorders and Cortical Dysplasia. CNS Neuroscience & Therapeutics. 21(2). 74–82. 33 indexed citations
12.
Milošević, Nataša Jovanov, et al.. (2012). Human fetal tau protein isoform: Possibilities for Alzheimer's disease treatment. The International Journal of Biochemistry & Cell Biology. 44(8). 1290–1294. 25 indexed citations
13.
Vukšić, Mario, Domenico Del Turco, Andreas Vlachos, et al.. (2011). Unilateral entorhinal denervation leads to long-lasting dendritic alterations of mouse hippocampal granule cells. Experimental Neurology. 230(2). 176–185. 37 indexed citations
14.
Judáš, Miloš, Goran Šimić, Zdravko Petanjek, et al.. (2011). The Zagreb Collection of human brains: a unique, versatile, but underexploited resource for the neuroscience community. Annals of the New York Academy of Sciences. 1225(S1). E105–30. 44 indexed citations
15.
Ghebremedhin, Estifanos, Albert Rosenberger, Udo Rüb, et al.. (2010). Inverse Relationship Between Cerebrovascular Lesions and Severity of Lewy Body Pathology in Patients With Lewy Body Diseases. Journal of Neuropathology & Experimental Neurology. 69(5). 442–448. 71 indexed citations
16.
Vukšić, Mario, Domenico Del Turco, Carlos Bas‐Orth, et al.. (2008). 3D‐reconstruction and functional properties of GFP‐positive and GFP‐negative granule cells in the fascia dentata of the Thy1‐GFP mouse. Hippocampus. 18(4). 364–375. 35 indexed citations
17.
Schwarzacher, Stephan W., Mario Vukšić, Carola A. Haas, et al.. (2006). Neuronal hyperactivity induces astrocytic expression of neurocan in the adult rat hippocampus. Glia. 53(7). 704–714. 18 indexed citations
18.
Jedlička, Peter, et al.. (2006). Excitotoxic hippocampal neuron loss following sustained electrical stimulation of the perforant pathway in the mouse. Brain Research. 1085(1). 195–198. 13 indexed citations
19.
Gierga, K., Katrin Bürk, M. Bauer, et al.. (2005). Involvement of the cranial nerves and their nuclei in spinocerebellar ataxia type 2 (SCA2). Acta Neuropathologica. 109(6). 617–631. 78 indexed citations
20.
Vukšić, Mario, Zdravko Petanjek, Mladen Roko Rašin, & Ivica Kostović. (2002). Perinatal growth of prefrontal layer III pyramids in down syndrome. Pediatric Neurology. 27(1). 36–38. 41 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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