Marija Markicevic

1.9k total citations
16 papers, 635 citations indexed

About

Marija Markicevic is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marija Markicevic has authored 16 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marija Markicevic's work include Functional Brain Connectivity Studies (11 papers), Neural dynamics and brain function (6 papers) and Autism Spectrum Disorder Research (6 papers). Marija Markicevic is often cited by papers focused on Functional Brain Connectivity Studies (11 papers), Neural dynamics and brain function (6 papers) and Autism Spectrum Disorder Research (6 papers). Marija Markicevic collaborates with scholars based in Switzerland, United States and Italy. Marija Markicevic's co-authors include Valerio Zerbi, Nicole Wenderoth, Markus Rudin, Johannes Bohacek, Oliver Sturman, Amalia Floriou‐Servou, Peter Paul De Deyn, Yannick Vermeiren, Bruno Weber and Lukas von Ziegler and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Marija Markicevic

14 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marija Markicevic Switzerland	9	408	209	113	104	73	16	635
Yohan J. John United States	13	369 0.9×	179 0.9×	79 0.7×	32 0.3×	66 0.9×	22	618
Asaf Marco Israel	11	204 0.5×	207 1.0×	295 2.6×	74 0.7×	27 0.4×	21	803
Stéphanie Maret Switzerland	9	872 2.1×	288 1.4×	102 0.9×	46 0.4×	30 0.4×	10	1.1k
Raffaele Mazziotti Italy	15	166 0.4×	165 0.8×	210 1.9×	132 1.3×	33 0.5×	36	608
Jiun Youn New Zealand	7	128 0.3×	177 0.8×	137 1.2×	80 0.8×	24 0.3×	9	551
Marija M. Petrinovic United Kingdom	9	226 0.6×	228 1.1×	136 1.2×	113 1.1×	51 0.7×	16	532
Sara Migliarini Italy	15	189 0.5×	408 2.0×	300 2.7×	81 0.8×	33 0.5×	25	790
Zhifeng Zhou United States	13	232 0.6×	297 1.4×	326 2.9×	114 1.1×	74 1.0×	20	839
U.A. Gironi Carnevale Italy	16	238 0.6×	325 1.6×	145 1.3×	41 0.4×	95 1.3×	28	744
Debha N. Amatya United States	7	379 0.9×	181 0.9×	86 0.8×	18 0.2×	92 1.3×	7	589

Countries citing papers authored by Marija Markicevic

Since Specialization

Citations

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

Fields of papers citing papers by Marija Markicevic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marija Markicevic

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

All Works

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16 of 16 papers shown

1.

Grimm, Christina, Marija Markicevic, Joanes Grandjean, et al.. (2025). Functional-based parcellation of the mouse prefrontal cortex for network perturbation analysis. Cell Reports. 44(5). 115622–115622.

2.

Mandino, Francesca, Corey Horien, Xilin Shen, et al.. (2025). Multimodal identification of the mouse brain using simultaneous Ca2+ imaging and fMRI. Communications Biology. 8(1). 665–665.

3.

Mandino, Francesca, David O’Connor, Marija Markicevic, et al.. (2024). Multimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization. Nature Communications. 15(1). 229–229. 12 indexed citations

4.

Markicevic, Marija, Francesca Mandino, Takuya Toyonaga, et al.. (2024). Repetitive Mild Closed-Head Injury Induced Synapse Loss and Increased Local BOLD-fMRI Signal Homogeneity. Journal of Neurotrauma. 41(23-24). 2528–2544. 2 indexed citations

5.

Markicevic, Marija, Oliver Sturman, Johannes Bohacek, et al.. (2023). Neuromodulation of striatal D1 cells shapes BOLD fluctuations in anatomically connected thalamic and cortical regions. eLife. 12. 6 indexed citations

6.

Zerbi, Valerio, Erin Johnson‐Venkatesh, Marco Pagani, et al.. (2023). CDKL5 sculpts functional callosal connectivity to promote cognitive flexibility. Molecular Psychiatry. 29(6). 1698–1709. 8 indexed citations

7.

Zerbi, Valerio, Marco Pagani, Marija Markicevic, et al.. (2021). Brain mapping across 16 autism mouse models reveals a spectrum of functional connectivity subtypes. Molecular Psychiatry. 26(12). 7610–7620. 57 indexed citations

8.

Desiato, Genni, Sara Mancinelli, G Fossati, et al.. (2021). Prenatal interleukin 6 elevation increases glutamatergic synapse density and disrupts hippocampal connectivity in offspring. Immunity. 54(11). 2611–2631.e8. 85 indexed citations

9.

Markicevic, Marija, et al.. (2021). Emerging imaging methods to study whole-brain function in rodent models. Translational Psychiatry. 11(1). 457–457. 1 indexed citations

10.

Markicevic, Marija, Ben Fulcher, Chris Lewis, et al.. (2020). Cortical Excitation:Inhibition Imbalance Causes Abnormal Brain Network Dynamics as Observed in Neurodevelopmental Disorders. Cerebral Cortex. 30(9). 4922–4937. 49 indexed citations

11.

Trakoshis, Stavros, Pablo Martínez‐Cañada, Federico Rocchi, et al.. (2020). Intrinsic excitation-inhibition imbalance affects medial prefrontal cortex differently in autistic men versus women. eLife. 9. 88 indexed citations

12.

Zerbi, Valerio, Amalia Floriou‐Servou, Marija Markicevic, et al.. (2019). Rapid Reconfiguration of the Functional Connectome after Chemogenetic Locus Coeruleus Activation. Neuron. 103(4). 702–718.e5. 205 indexed citations

13.

Zerbi, Valerio, Marija Markicevic, F. Gasparini, et al.. (2019). Inhibiting mGluR5 activity by AFQ056/Mavoglurant rescues circuit-specific functional connectivity in Fmr1 knockout mice. NeuroImage. 191. 392–402. 18 indexed citations

14.

Zerbi, Valerio, Amalia Floriou‐Servou, Marija Markicevic, et al.. (2019). Rapid Reconfiguration of the Functional Connectome after Chemogenetic Locus Coeruleus Activation. SSRN Electronic Journal. 2 indexed citations

15.

Zerbi, Valerio, Marija Markicevic, Matthias G. Haberl, et al.. (2018). Dysfunctional Autism Risk Genes Cause Circuit-Specific Connectivity Deficits With Distinct Developmental Trajectories. Cerebral Cortex. 28(7). 2495–2506. 55 indexed citations

16.

Chelini, Gabriele, Valerio Zerbi, Luca Cimino, et al.. (2018). Aberrant Somatosensory Processing and Connectivity in Mice LackingEngrailed-2. Journal of Neuroscience. 39(8). 1525–1538. 47 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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