Skirmantas Janušonis

1.0k total citations
38 papers, 725 citations indexed

About

Skirmantas Janušonis is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Skirmantas Janušonis has authored 38 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 19 papers in Molecular Biology and 17 papers in Cognitive Neuroscience. Recurrent topics in Skirmantas Janušonis's work include Neuroscience and Neuropharmacology Research (12 papers), Neural dynamics and brain function (10 papers) and Receptor Mechanisms and Signaling (9 papers). Skirmantas Janušonis is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Neural dynamics and brain function (10 papers) and Receptor Mechanisms and Signaling (9 papers). Skirmantas Janušonis collaborates with scholars based in United States, Germany and South Korea. Skirmantas Janušonis's co-authors include Katherine V. Fite, Pasko Rakić, Vicko Glunčić, Ralf Metzler, Heejung S. Kim, Thomas Vojta, George M. Anderson, Warren E. Foote, Joni Y. Sasaki and Taraneh Mojaverian and has published in prestigious journals such as Journal of Neuroscience, The Journal of Comparative Neurology and Brain Research.

In The Last Decade

Skirmantas Janušonis

37 papers receiving 709 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Skirmantas Janušonis United States 16 257 245 192 139 103 38 725
Matthew Schall United States 10 363 1.4× 273 1.1× 80 0.4× 101 0.7× 31 0.3× 19 841
Bassam Hamam Canada 11 749 2.9× 775 3.2× 268 1.4× 53 0.4× 29 0.3× 15 1.1k
Catherine Beaulieu Canada 14 569 2.2× 652 2.7× 198 1.0× 59 0.4× 126 1.2× 20 1.2k
Annette Milnik Switzerland 15 326 1.3× 139 0.6× 195 1.0× 96 0.7× 35 0.3× 37 835
Glenda Lassi Italy 11 506 2.0× 231 0.9× 153 0.8× 33 0.2× 54 0.5× 19 851
Andrew GM Bulloch Canada 20 87 0.3× 566 2.3× 237 1.2× 98 0.7× 27 0.3× 39 1.0k
Natalia P. Bondar Russia 21 130 0.5× 272 1.1× 244 1.3× 407 2.9× 35 0.3× 76 1.1k
Dani S. Bassett United States 20 683 2.7× 136 0.6× 85 0.4× 37 0.3× 9 0.1× 81 1.1k
Laila Brito Torres Brazil 14 180 0.7× 153 0.6× 188 1.0× 92 0.7× 19 0.2× 22 582
Laura Mantoan Ritter United Kingdom 13 298 1.2× 611 2.5× 278 1.4× 29 0.2× 32 0.3× 33 1.1k

Countries citing papers authored by Skirmantas Janušonis

Since Specialization
Citations

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

Fields of papers citing papers by Skirmantas Janušonis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Skirmantas Janušonis

This figure shows the co-authorship network connecting the top 25 collaborators of Skirmantas Janušonis. A scholar is included among the top collaborators of Skirmantas Janušonis 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 Skirmantas Janušonis. Skirmantas Janušonis 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.
Janušonis, Skirmantas, et al.. (2023). Predicting the distribution of serotonergic axons: a supercomputing simulation of reflected fractional Brownian motion in a 3D-mouse brain model. Frontiers in Computational Neuroscience. 17. 7 indexed citations
2.
Wang, Wei, Krzysztof Burnecki, Aleksei V. Chechkin, et al.. (2023). Memory-multi-fractional Brownian motion with continuous correlations. Physical Review Research. 5(3). 16 indexed citations
3.
Janušonis, Skirmantas, et al.. (2023). An experimental platform for stochastic analyses of single serotonergic fibers in the mouse brain. Frontiers in Neuroscience. 17. 1241919–1241919.
4.
Janušonis, Skirmantas, et al.. (2022). High-resolution spatiotemporal analysis of single serotonergic axons in an in vitro system. Frontiers in Neuroscience. 16. 994735–994735. 3 indexed citations
5.
Janušonis, Skirmantas, et al.. (2018). A stochastic approach to serotonergic fibers in mental disorders. Biochimie. 161. 15–22. 7 indexed citations
6.
Janušonis, Skirmantas. (2017). Some Galeomorph Sharks Express a Mammalian Microglia-Specific Protein in Radial Ependymoglia of the Telencephalon. Brain Behavior and Evolution. 91(1). 17–30. 3 indexed citations
7.
Janušonis, Skirmantas. (2017). A receptor-based analysis of local ecosystems in the human brain. BMC Neuroscience. 18(1). 33–33. 3 indexed citations
8.
Janušonis, Skirmantas, et al.. (2017). Serotonin 5-HT4 receptors modulate the development of glutamatergic input to the dorsal raphe nucleus. Neuroscience Letters. 640. 111–116. 4 indexed citations
9.
Janušonis, Skirmantas. (2014). Functional associations among G protein-coupled neurotransmitter receptors in the human brain. BMC Neuroscience. 15(1). 16–16. 10 indexed citations
10.
Sasaki, Joni Y., et al.. (2011). Religion priming differentially increases prosocial behavior among variants of the dopamine D4 receptor (DRD4) gene. Social Cognitive and Affective Neuroscience. 8(2). 209–215. 73 indexed citations
11.
Janušonis, Skirmantas, et al.. (2010). Quantitative mRNA Analysis of Serotonin 5-HT<sub>4</sub> and Adrenergic β<sub>2</sub> Receptors in the Mouse Embryonic Telencephalon. Developmental Neuroscience. 32(4). 278–287. 6 indexed citations
12.
Janušonis, Skirmantas. (2009). Comparing two small samples with an unstable, treatment-independent baseline. Journal of Neuroscience Methods. 179(2). 173–178. 36 indexed citations
13.
Albay, Ricardo, et al.. (2009). Transient expression of serotonin 5‐HT4receptors in the mouse developing thalamocortical projections. Developmental Neurobiology. 70(3). 165–181. 9 indexed citations
14.
Janušonis, Skirmantas. (2008). Origin of the blood hyperserotonemia of autism. Theoretical Biology and Medical Modelling. 5(1). 10–10. 27 indexed citations
15.
Janušonis, Skirmantas, et al.. (2006). Ontogeny of brain and blood serotonin levels in 5‐HT1A receptor knockout mice: potential relevance to the neurobiology of autism. Journal of Neurochemistry. 99(3). 1019–1031. 39 indexed citations
16.
Janušonis, Skirmantas. (2004). Serotonergic paradoxes of autism replicated in a simple mathematical model. Medical Hypotheses. 64(4). 742–750. 17 indexed citations
17.
Janušonis, Skirmantas & Katherine V. Fite. (2001). Diurnal variation of c‐Fos expression in subdivisions of the dorsal raphe nucleus of the Mongolian gerbil (Meriones unguiculatus). The Journal of Comparative Neurology. 440(1). 31–42. 41 indexed citations
18.
Fite, Katherine V. & Skirmantas Janušonis. (2001). Retinal projection to the dorsal raphe nucleus in the Chilean degus (Octodon degus). Brain Research. 895(1-2). 139–145. 49 indexed citations
19.
Janušonis, Skirmantas & Katherine V. Fite. (1997). NMDAR1-like immunoreactive fibers appear in the ipsilateral optic tract during optic nerve regeneration in Rana pipiens. Neuroscience Letters. 236(1). 1–4. 4 indexed citations
20.
Aller, M. Isabel, Skirmantas Janušonis, Katherine V. Fite, & Arsenio Fernández‐López. (1997). Distribution of the GABAA receptor complex β2/3 subunits in the brain of the frog Rana pipiens. Neuroscience Letters. 225(1). 65–68. 20 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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