Maja Zorović

582 total citations
19 papers, 332 citations indexed

About

Maja Zorović is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Maja Zorović has authored 19 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 8 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Genetics. Recurrent topics in Maja Zorović's work include Insect and Arachnid Ecology and Behavior (6 papers), Hemiptera Insect Studies (4 papers) and Stress Responses and Cortisol (3 papers). Maja Zorović is often cited by papers focused on Insect and Arachnid Ecology and Behavior (6 papers), Hemiptera Insect Studies (4 papers) and Stress Responses and Cortisol (3 papers). Maja Zorović collaborates with scholars based in Slovenia, United Kingdom and United States. Maja Zorović's co-authors include Andrej Čokl, Berthold Hedwig, Meta Virant‐Doberlet, Jocelyn G. Millar, Janez Prešern, Marko Živin, Jernej Polajnar, Maarten de Groot, Stanislav Gobec and Dick F. Swaab and has published in prestigious journals such as PLoS ONE, The Journal of Comparative Neurology and Journal of Neurophysiology.

In The Last Decade

Maja Zorović

18 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maja Zorović Slovenia 10 191 159 90 84 65 19 332
Virginie Party France 11 172 0.9× 121 0.8× 40 0.4× 176 2.1× 212 3.3× 15 390
Jürgen Deckert Germany 9 105 0.5× 54 0.3× 49 0.5× 40 0.5× 100 1.5× 28 252
Atsushi Honma Japan 12 185 1.0× 76 0.5× 59 0.7× 27 0.3× 110 1.7× 37 419
Roman V. Frolov Finland 15 92 0.5× 164 1.0× 45 0.5× 358 4.3× 45 0.7× 43 527
Robert S. Edgecomb United States 9 118 0.6× 106 0.7× 22 0.2× 213 2.5× 177 2.7× 12 360
Anne Must Estonia 13 135 0.7× 172 1.1× 64 0.7× 168 2.0× 186 2.9× 26 373
Ai‐Qun Hu China 11 214 1.1× 92 0.6× 60 0.7× 170 2.0× 38 0.6× 26 408
Luis M. Franco Belgium 6 67 0.4× 56 0.4× 54 0.6× 125 1.5× 107 1.6× 8 378
Ziyun Lu China 16 123 0.6× 151 0.9× 86 1.0× 216 2.6× 369 5.7× 40 559
T. Oumi Japan 11 113 0.6× 48 0.3× 14 0.2× 147 1.8× 39 0.6× 15 454

Countries citing papers authored by Maja Zorović

Since Specialization
Citations

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

Fields of papers citing papers by Maja Zorović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Zorović

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

All Works

19 of 19 papers shown
1.
Živin, Marko, et al.. (2025). Increased sensitivity to psychomotor effects of ketamine enantiomers in the Wistar-Kyoto depression model. Journal of Psychiatric Research. 184. 307–317.
2.
Živin, Marko, et al.. (2024). Behavioral sensitization and tolerance induced by repeated treatment with ketamine enantiomers in male Wistar rats. PLoS ONE. 19(3). e0299379–e0299379. 3 indexed citations
3.
Heerikhuize, Joop van, et al.. (2023). Increased pituitary adenylate cyclase-activating polypeptide in the central bed nucleus of the stria terminalis in mood disorders in men. Neurobiology of Disease. 183. 106191–106191. 6 indexed citations
4.
Balesar, Rawien, R.W.H. Verwer, Joop J. van Heerikhuize, et al.. (2023). Alterations in pituitary adenylate cyclase-activating polypeptide in major depressive disorder, bipolar disorder, and comorbid depression in Alzheimer's disease in the human hypothalamus and prefrontal cortex. Psychological Medicine. 53(16). 7537–7549. 10 indexed citations
5.
Meden, Anton, Damijan Knez, Xavier Brazzolotto, et al.. (2022). Pseudo-irreversible butyrylcholinesterase inhibitors: Structure–activity relationships, computational and crystallographic study of the N-dialkyl O-arylcarbamate warhead. European Journal of Medicinal Chemistry. 247. 115048–115048. 7 indexed citations
6.
Šribar, Jernej, et al.. (2022). Rat Group IIA Secreted Phospholipase A2 Binds to Cytochrome c Oxidase and Inhibits Its Activity: A Possible Episode in the Development of Alzheimer’s Disease. International Journal of Molecular Sciences. 23(20). 12368–12368. 6 indexed citations
7.
Živin, Marko, et al.. (2022). Modulation by Estradiol of L-Dopa-Induced Dyskinesia in a Rat Model of Post-Menopausal Hemiparkinsonism. Life. 12(5). 640–640. 3 indexed citations
8.
Zorović, Maja, et al.. (2021). Effects of L-dopa on expression of prolactin and synaptotagmin IV in 17-estradiol-induced prolactinomas of ovariectomized hemiparkinsonian rats. Bosnian Journal of Basic Medical Sciences. 21(6). 702–711. 1 indexed citations
9.
Ristić, Aleksandar J., Dragoslav Sokić, Vladimir Baščarević, et al.. (2020). Regional distribution of cytochrome c oxidase activity and copper in sclerotic hippocampi of epilepsy patients. Brain and Behavior. 11(2). 1 indexed citations
10.
Pajk, Stane, Damijan Knez, Urban Košak, et al.. (2020). Development of potent reversible selective inhibitors of butyrylcholinesterase as fluorescent probes. Journal of Enzyme Inhibition and Medicinal Chemistry. 35(1). 498–505. 20 indexed citations
11.
Prešern, Janez, Jernej Polajnar, Maarten de Groot, Maja Zorović, & Meta Virant‐Doberlet. (2018). On the spot: utilization of directional cues in vibrational communication of a stink bug. Scientific Reports. 8(1). 5418–5418. 19 indexed citations
12.
Zorović, Maja & Andrej Čokl. (2014). Laser vibrometry as a diagnostic tool for detecting wood-boring beetle larvae. Journal of Pest Science. 88(1). 107–112. 31 indexed citations
13.
Soroker, Victoria, Pompeo Suma, A. Pergola, et al.. (2013). Early detection and monitoring of red palm weevil: approaches and challenges.. 19 indexed citations
14.
Zorović, Maja & Berthold Hedwig. (2012). Descending brain neurons in the cricket Gryllus bimaculatus (de Geer): auditory responses and impact on walking. Journal of Comparative Physiology A. 199(1). 25–34. 34 indexed citations
15.
16.
Zorović, Maja & Berthold Hedwig. (2011). Processing of species-specific auditory patterns in the cricket brain by ascending, local, and descending neurons during standing and walking. Journal of Neurophysiology. 105(5). 2181–2194. 44 indexed citations
17.
Zorović, Maja, Janez Prešern, & Andrej Čokl. (2008). Morphology and physiology of vibratory interneurons in the thoracic ganglia of the southern green stinkbugNezara viridula(L.). The Journal of Comparative Neurology. 508(2). 365–381. 18 indexed citations
18.
Čokl, Andrej, Maja Zorović, & Jocelyn G. Millar. (2007). Vibrational communication along plants by the stink bugs Nezara viridula and Murgantia histrionica. Behavioural Processes. 75(1). 40–54. 41 indexed citations
19.
Čokl, Andrej, et al.. (2005). Tuning of host plants with vibratory songs ofNezara viridulaL(Heteroptera: Pentatomidae). Journal of Experimental Biology. 208(8). 1481–1488. 60 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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