Michael Harte

3.6k total citations
62 papers, 2.3k citations indexed

About

Michael Harte is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biological Psychiatry. According to data from OpenAlex, Michael Harte has authored 62 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cellular and Molecular Neuroscience, 17 papers in Molecular Biology and 15 papers in Biological Psychiatry. Recurrent topics in Michael Harte's work include Neuroscience and Neuropharmacology Research (28 papers), Neurotransmitter Receptor Influence on Behavior (18 papers) and Tryptophan and brain disorders (15 papers). Michael Harte is often cited by papers focused on Neuroscience and Neuropharmacology Research (28 papers), Neurotransmitter Receptor Influence on Behavior (18 papers) and Tryptophan and brain disorders (15 papers). Michael Harte collaborates with scholars based in United Kingdom, United States and Ireland. Michael Harte's co-authors include Joanna C. Neill, Gavin P. Reynolds, Ben Grayson, Samuel A. Barnes, Samantha L. McLean, Samantha R. Cook, Lakshmi Rajagopal, Shikha Snigdha, Nagi Idris and Trisha A. Jenkins and has published in prestigious journals such as Biological Psychiatry, Brain Research and Neuroscience.

In The Last Decade

Michael Harte

61 papers receiving 2.2k 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 Harte United Kingdom 26 1.2k 798 489 487 330 62 2.3k
James Auta United States 22 1.3k 1.1× 1.2k 1.5× 442 0.9× 488 1.0× 241 0.7× 50 2.8k
Hanna Jaaro-Peled United States 22 867 0.7× 1.2k 1.5× 353 0.7× 327 0.7× 226 0.7× 36 2.1k
Michael Didriksen Denmark 27 1.2k 1.0× 1.2k 1.5× 308 0.6× 527 1.1× 366 1.1× 63 2.6k
Osamu Shirakawa Japan 32 1.2k 1.0× 968 1.2× 358 0.7× 552 1.1× 556 1.7× 117 2.9k
Samantha E. Yohn United States 25 1.1k 0.9× 496 0.6× 251 0.5× 452 0.9× 352 1.1× 46 2.0k
Francesco Matrisciano Italy 24 800 0.7× 822 1.0× 538 1.1× 251 0.5× 165 0.5× 37 2.0k
Stacy A. Castner United States 21 1.1k 1.0× 601 0.8× 296 0.6× 639 1.3× 407 1.2× 31 2.0k
Mark C. Austin United States 26 1.3k 1.1× 702 0.9× 585 1.2× 294 0.6× 332 1.0× 46 2.2k
Minae Niwa Japan 27 893 0.8× 862 1.1× 315 0.6× 231 0.5× 137 0.4× 56 2.0k
Adolfo Sequeira United States 33 958 0.8× 1.5k 1.9× 850 1.7× 434 0.9× 492 1.5× 52 3.4k

Countries citing papers authored by Michael Harte

Since Specialization
Citations

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

Fields of papers citing papers by Michael Harte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Harte

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Harte. A scholar is included among the top collaborators of Michael Harte 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 Harte. Michael Harte 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.
Elliott, Christina, Joshua Jackson, J. N. Findlay, et al.. (2025). Blocking the Dkk1-LRP6 interaction prevents acute amyloid-β-driven cognitive impairment. Cellular Signalling. 131. 111716–111716. 1 indexed citations
2.
Harte, Michael, et al.. (2025). Association between redox dysregulation and vulnerability to cognitive deficits induced by maternal immune activation. Translational Psychiatry. 15(1). 184–184.
3.
Harte, Michael, et al.. (2024). Voltage-gated potassium channels as a potential therapeutic target for the treatment of neurological and psychiatric disorders. Frontiers in Cellular Neuroscience. 18. 1449151–1449151. 4 indexed citations
4.
Grayson, Ben, et al.. (2023). Handling prevents and reverses cognitive deficits induced by sub-chronic phencyclidine in a model for schizophrenia in rats. Physiology & Behavior. 263. 114117–114117. 1 indexed citations
5.
D’Souza, Stephen W., et al.. (2023). Maternal immune activation and role of placenta in the prenatal programming of neurodevelopmental disorders. PubMed. 7(2). NS20220064–NS20220064. 36 indexed citations
6.
7.
Fachim, Helene, et al.. (2023). Investigating two pore potassium channel THIK‐1 expression in Alzheimer’s disease. Alzheimer s & Dementia. 19(S13). 1 indexed citations
8.
Grayson, Ben, et al.. (2021). Dissociating the effects of distraction and proactive interference on object memory through tests of novelty preference. PubMed. 5. 1492748095–1492748095. 1 indexed citations
9.
Brough, David, et al.. (2019). Fabrication of Amyloid-β-Secreting Alginate Microbeads for Use in Modelling Alzheimer's Disease. Journal of Visualized Experiments. 3 indexed citations
10.
Cadinu, Daniela, et al.. (2017). NMDA receptor antagonist rodent models for cognition in schizophrenia and identification of novel drug treatments, an update. Neuropharmacology. 142. 41–62. 124 indexed citations
11.
Fachim, Helene, et al.. (2016). Subchronic Administration of Phencyclidine Produces Hypermethylation in the Parvalbumin Gene Promoter in Rat Brain. Epigenomics. 8(9). 1179–1183. 16 indexed citations
12.
13.
Dachtler, James, Rotem Cohen, José Luis Ivorra, et al.. (2014). Deletion of α-neurexin II results in autism-related behaviors in mice. Translational Psychiatry. 4(11). e484–e484. 63 indexed citations
14.
Barnes, Samuel A., Stephen J. Sawiak, Daniele Caprioli, et al.. (2014). Impaired Limbic Cortico-Striatal Structure and Sustained Visual Attention in a Rodent Model of Schizophrenia. The International Journal of Neuropsychopharmacology. 18(2). pyu010–pyu010. 48 indexed citations
15.
Neill, Joanna C., et al.. (2013). Acute and chronic effects of NMDA receptor antagonists in rodents, relevance to negative symptoms of schizophrenia: A translational link to humans. European Neuropsychopharmacology. 24(5). 822–835. 105 indexed citations
16.
Harte, Michael, et al.. (2013). Positive effects of a novel cognitive remediation computer game (X-Cog) in first episode psychosis: a pilot study. Psychosis. 6(3). 215–219. 5 indexed citations
17.
Jenkins, Trisha A., Michael Harte, & Gavin P. Reynolds. (2010). Effect of subchronic phencyclidine administration on sucrose preference and hippocampal parvalbumin immunoreactivity in the rat. Neuroscience Letters. 471(3). 144–147. 45 indexed citations
18.
Neill, Joanna C., Samuel A. Barnes, Samantha R. Cook, et al.. (2010). Animal models of cognitive dysfunction and negative symptoms of schizophrenia: Focus on NMDA receptor antagonism. Pharmacology & Therapeutics. 128(3). 419–432. 433 indexed citations
19.
Harte, Michael, Susan B. Powell, Lindsay M. Reynolds, et al.. (2004). Reduced n-acetylaspartate in the temporal cortex of rats reared in isolation. Biological Psychiatry. 56(4). 296–299. 27 indexed citations
20.
Burke, C, et al.. (1985). Captopril and domiciliary oxygen in chronic airflow obstruction.. BMJ. 290(6477). 1251–1251. 17 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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