Mite Mijalkov

1.2k total citations
25 papers, 728 citations indexed

About

Mite Mijalkov is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Mite Mijalkov has authored 25 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 6 papers in Biomedical Engineering and 5 papers in Molecular Biology. Recurrent topics in Mite Mijalkov's work include Functional Brain Connectivity Studies (16 papers), Neural dynamics and brain function (6 papers) and Alzheimer's disease research and treatments (5 papers). Mite Mijalkov is often cited by papers focused on Functional Brain Connectivity Studies (16 papers), Neural dynamics and brain function (6 papers) and Alzheimer's disease research and treatments (5 papers). Mite Mijalkov collaborates with scholars based in Sweden, Türkiye and France. Mite Mijalkov's co-authors include Giovanni Volpe, Joana B. Pereira, Eric Westman, Ehsan Kakaei, Agnese Callegari, Jan Wehr, Lars‐Olof Wahlund, Iwona Kłoszewska, Simon Lovestone and H. Soininen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mite Mijalkov

24 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mite Mijalkov Sweden 12 310 194 176 124 115 25 728
Markus A. Dahlem Germany 24 597 1.9× 24 0.1× 48 0.3× 60 0.5× 231 2.0× 48 1.3k
Kiwamu Kudo Japan 18 197 0.6× 156 0.8× 133 0.8× 13 0.1× 42 0.4× 56 875
Gordon Chalmers United States 22 130 0.4× 14 0.1× 267 1.5× 22 0.2× 44 0.4× 70 1.5k
Daniel Gembris Germany 14 747 2.4× 22 0.1× 37 0.2× 383 3.1× 30 0.3× 21 1.1k
Samuel J. Williamson United States 16 398 1.3× 59 0.3× 79 0.4× 152 1.2× 35 0.3× 38 813
Jaakko O. Nieminen Finland 20 609 2.0× 25 0.1× 200 1.1× 330 2.7× 25 0.2× 74 1.2k
Makoto Kotani Japan 12 334 1.1× 18 0.1× 54 0.3× 79 0.6× 11 0.1× 34 727
Lang Qin China 13 171 0.6× 329 1.7× 314 1.8× 63 0.5× 28 0.2× 40 691
Anders Hedström Sweden 15 148 0.5× 20 0.1× 25 0.1× 56 0.5× 203 1.8× 39 572
Ichiro Sase Japan 9 285 0.9× 12 0.1× 388 2.2× 367 3.0× 68 0.6× 12 1.0k

Countries citing papers authored by Mite Mijalkov

Since Specialization
Citations

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

Fields of papers citing papers by Mite Mijalkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mite Mijalkov

This figure shows the co-authorship network connecting the top 25 collaborators of Mite Mijalkov. A scholar is included among the top collaborators of Mite Mijalkov 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 Mite Mijalkov. Mite Mijalkov 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.
Veréb, Dániel, Mite Mijalkov, Yu-Wei Chang, et al.. (2025). Clinical progression and genetic pathways in body-first and brain-first Parkinson’s disease. Molecular Neurodegeneration. 20(1). 74–74. 3 indexed citations
2.
Mijalkov, Mite, et al.. (2024). Linking structural and functional changes during aging using multilayer brain network analysis. Communications Biology. 7(1). 239–239. 11 indexed citations
3.
Veréb, Dániel, et al.. (2024). Dynamic multilayer functional connectivity detects preclinical and clinical Alzheimer’s disease. Cerebral Cortex. 34(2). 5 indexed citations
4.
Mijalkov, Mite, et al.. (2023). Nonlinear changes in delayed functional network topology in Alzheimer’s disease: relationship with amyloid and tau pathology. Alzheimer s Research & Therapy. 15(1). 112–112. 3 indexed citations
5.
Veréb, Dániel, Mite Mijalkov, Miia Kivipelto, et al.. (2023). Age-related differences in the functional topography of the locus coeruleus and their implications for cognitive and affective functions. eLife. 12. 13 indexed citations
6.
7.
Veréb, Dániel, Mite Mijalkov, Anne Maaß, et al.. (2023). Functional gradients of the medial parietal cortex in a healthy cohort with family history of sporadic Alzheimer’s disease. Alzheimer s Research & Therapy. 15(1). 82–82. 2 indexed citations
8.
Mijalkov, Mite, Dániel Veréb, Oveis Jamialahmadi, et al.. (2022). Sex differences in multilayer functional network topology over the course of aging in 37543 UK Biobank participants. Network Neuroscience. 7(1). 351–376. 4 indexed citations
9.
Mijalkov, Mite, Giovanni Volpe, & Joana B. Pereira. (2021). Directed Brain Connectivity Identifies Widespread Functional Network Abnormalities in Parkinson’s Disease. Cerebral Cortex. 32(3). 593–607. 12 indexed citations
10.
Mijalkov, Mite, et al.. (2021). Multiplex connectome changes across the alzheimer’s disease spectrum using gray matter and amyloid data. Cerebral Cortex. 32(16). 3501–3515. 12 indexed citations
11.
Hinault, Thomas, et al.. (2021). Age-related differences in network structure and dynamic synchrony of cognitive control. NeuroImage. 236. 118070–118070. 16 indexed citations
12.
Albrecht, Franziska, Joana B. Pereira, Mite Mijalkov, et al.. (2021). Effects of a Highly Challenging Balance Training Program on Motor Function and Brain Structure in Parkinson’s Disease. Journal of Parkinson s Disease. 11(4). 2057–2071. 17 indexed citations
13.
Mijalkov, Mite, Giovanni Volpe, Isabel Fernaud-Espinosa, et al.. (2021). Dendritic spines are lost in clusters in Alzheimer’s disease. Scientific Reports. 11(1). 12350–12350. 39 indexed citations
14.
15.
Niekerk, David D. van, Mite Mijalkov, Jacky L. Snoep, et al.. (2021). Intercellular communication induces glycolytic synchronization waves between individually oscillating cells. Proceedings of the National Academy of Sciences. 118(6). 15 indexed citations
16.
Mijalkov, Mite, Joana B. Pereira, & Giovanni Volpe. (2020). Delayed correlations improve the reconstruction of the brain connectome. PLoS ONE. 15(2). e0228334–e0228334. 5 indexed citations
17.
Mijalkov, Mite, et al.. (2017). BRAPH: A graph theory software for the analysis of brain connectivity. PLoS ONE. 12(8). e0178798–e0178798. 172 indexed citations
18.
Pereira, Joana B., Mite Mijalkov, Ehsan Kakaei, et al.. (2016). Disrupted Network Topology in Patients with Stable and Progressive Mild Cognitive Impairment and Alzheimer's Disease. Cerebral Cortex. 26(8). 3476–3493. 106 indexed citations
19.
Callegari, Agnese, et al.. (2015). Computational toolbox for optical tweezers in geometrical optics. Journal of the Optical Society of America B. 32(5). B11–B11. 75 indexed citations
20.
Callegari, Agnese, et al.. (2015). Computational toolbox for optical tweezers in geometrical optics. Journal of the Optical Society of America B. 32(5). B6–B6. 9 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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