Michael Notaras

1.7k total citations
24 papers, 1.2k citations indexed

About

Michael Notaras is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Molecular Biology. According to data from OpenAlex, Michael Notaras has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 10 papers in Behavioral Neuroscience and 9 papers in Molecular Biology. Recurrent topics in Michael Notaras's work include Nerve injury and regeneration (11 papers), Stress Responses and Cortisol (10 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Michael Notaras is often cited by papers focused on Nerve injury and regeneration (11 papers), Stress Responses and Cortisol (10 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Michael Notaras collaborates with scholars based in United States, Australia and South Korea. Michael Notaras's co-authors include Maarten van den Buuse, Rachel Hill, Dilek Colak, David W. Greening, Joseph A. Gogos, Xin Du, Anna Schroeder, Hagen Tilgner, Paul Collier and Friederike Dündar and has published in prestigious journals such as Science, Biological Psychiatry and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Michael Notaras

23 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Notaras United States 15 484 318 281 272 248 24 1.2k
Iva Dincheva United States 13 676 1.4× 253 0.8× 184 0.7× 402 1.5× 183 0.7× 13 1.2k
Angélica Torres‐Berrío United States 19 362 0.7× 321 1.0× 238 0.8× 136 0.5× 151 0.6× 33 1.0k
Luciana Romina Frick United States 25 379 0.8× 379 1.2× 235 0.8× 278 1.0× 149 0.6× 38 1.5k
Kristen C. Klemenhagen United States 8 390 0.8× 380 1.2× 317 1.1× 629 2.3× 272 1.1× 14 1.8k
Daniel R. Rosell United States 18 661 1.4× 263 0.8× 212 0.8× 241 0.9× 411 1.7× 30 1.5k
Robert J. Fenster United States 10 519 1.1× 514 1.6× 215 0.8× 327 1.2× 97 0.4× 12 1.4k
Christof Dormann Germany 12 402 0.8× 151 0.5× 238 0.8× 158 0.6× 162 0.7× 24 896
Victor M. Luna United States 16 702 1.5× 244 0.8× 281 1.0× 504 1.9× 422 1.7× 25 1.5k
Daniel Paredes United States 16 513 1.1× 359 1.1× 132 0.5× 182 0.7× 110 0.4× 32 1.2k
Lucia Caffino Italy 22 998 2.1× 433 1.4× 119 0.4× 234 0.9× 153 0.6× 88 1.4k

Countries citing papers authored by Michael Notaras

Since Specialization
Citations

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

Fields of papers citing papers by Michael Notaras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Notaras

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Notaras. A scholar is included among the top collaborators of Michael Notaras 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 Michael Notaras. Michael Notaras 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.
Notaras, Michael, et al.. (2024). Schizophrenia endothelial cells exhibit higher permeability and altered angiogenesis patterns in patient-derived organoids. Translational Psychiatry. 14(1). 53–53. 12 indexed citations
2.
Notaras, Michael, Tanya Jain, Sijia Gao, et al.. (2023). Circadian protein TIMELESS regulates synaptic function and memory by modulating cAMP signaling. Cell Reports. 42(4). 112375–112375. 8 indexed citations
3.
Allen, Megan, Ben Huang, Michael Notaras, et al.. (2022). Astrocytes derived from ASD individuals alter behavior and destabilize neuronal activity through aberrant Ca2+ signaling. Molecular Psychiatry. 27(5). 2470–2484. 48 indexed citations
4.
5.
Lucaci, Alexander G., Michael Notaras, Sergei L. Kosakovsky Pond, & Dilek Colak. (2022). The evolution of BDNF is defined by strict purifying selection and prodomain spatial coevolution, but what does it mean for human brain disease?. Translational Psychiatry. 12(1). 258–258. 6 indexed citations
6.
Notaras, Michael, et al.. (2021). Neurodevelopmental signatures of narcotic and neuropsychiatric risk factors in 3D human-derived forebrain organoids. Molecular Psychiatry. 26(12). 7760–7783. 27 indexed citations
7.
Notaras, Michael, et al.. (2021). The proteomic architecture of schizophrenia iPSC-derived cerebral organoids reveals alterations in GWAS and neuronal development factors. Translational Psychiatry. 11(1). 541–541. 36 indexed citations
8.
Notaras, Michael, Friederike Dündar, Paul Collier, et al.. (2021). Schizophrenia is defined by cell-specific neuropathology and multiple neurodevelopmental mechanisms in patient-derived cerebral organoids. Molecular Psychiatry. 27(3). 1416–1434. 80 indexed citations
9.
10.
Notaras, Michael & Maarten van den Buuse. (2020). Neurobiology of BDNF in fear memory, sensitivity to stress, and stress-related disorders. Molecular Psychiatry. 25(10). 2251–2274. 266 indexed citations
11.
Greening, David W., Michael Notaras, Maoshan Chen, et al.. (2019). Chronic methamphetamine interacts with BDNF Val66Met to remodel psychosis pathways in the mesocorticolimbic proteome. Molecular Psychiatry. 26(8). 4431–4447. 35 indexed citations
12.
Notaras, Michael, Megan Allen, Francesco Longo, et al.. (2019). UPF2 leads to degradation of dendritically targeted mRNAs to regulate synaptic plasticity and cognitive function. Molecular Psychiatry. 25(12). 3360–3379. 29 indexed citations
13.
Du, Xin, et al.. (2019). Effect of adolescent androgen manipulation on psychosis-like behaviour in adulthood in BDNF heterozygous and control mice. Hormones and Behavior. 112. 32–41. 6 indexed citations
14.
Schroeder, Anna, Matthew R. Hudson, Nigel C. Jones, et al.. (2019). The maternal immune activation model uncovers a role for the Arx gene in GABAergic dysfunction in schizophrenia. Brain Behavior and Immunity. 81. 161–171. 28 indexed citations
15.
Notaras, Michael, Xin Du, Joseph A. Gogos, Maarten van den Buuse, & Rachel Hill. (2017). The BDNF Val66Met polymorphism regulates glucocorticoid-induced corticohippocampal remodeling and behavioral despair. Translational Psychiatry. 7(9). e1233–e1233. 35 indexed citations
16.
17.
Notaras, Michael, Rachel Hill, Joseph A. Gogos, & Maarten van den Buuse. (2016). BDNF Val66Met Genotype Interacts With a History of Simulated Stress Exposure to Regulate Sensorimotor Gating and Startle Reactivity. Schizophrenia Bulletin. 43(3). sbw077–sbw077. 34 indexed citations
18.
Notaras, Michael, Rachel Hill, & Maarten van den Buuse. (2015). The BDNF gene Val66Met polymorphism as a modifier of psychiatric disorder susceptibility: progress and controversy. Molecular Psychiatry. 20(8). 916–930. 203 indexed citations
19.
Notaras, Michael, Rachel Hill, & Maarten van den Buuse. (2015). A role for the BDNF gene Val66Met polymorphism in schizophrenia? A comprehensive review. Neuroscience & Biobehavioral Reviews. 51. 15–30. 107 indexed citations
20.
Notaras, Michael, Rachel Hill, Joseph A. Gogos, & Maarten van den Buuse. (2015). BDNF Val66Met genotype determines hippocampus-dependent behavior via sensitivity to glucocorticoid signaling. Molecular Psychiatry. 21(6). 730–732. 48 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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