Takeshi Iwazaki

649 total citations
9 papers, 537 citations indexed

About

Takeshi Iwazaki is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Takeshi Iwazaki has authored 9 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in Takeshi Iwazaki's work include Neuroscience and Neuropharmacology Research (7 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Receptor Mechanisms and Signaling (3 papers). Takeshi Iwazaki is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Receptor Mechanisms and Signaling (3 papers). Takeshi Iwazaki collaborates with scholars based in Australia, Japan and Canada. Takeshi Iwazaki's co-authors include Izuru Matsumoto, Iain S. McGregor, Mohammed A. Kashem, Leonora E. Long, Jonathon C. Arnold, Murray R. Thompson, Paul E. Mallet, Paul D. Callaghan, Heidi Quinn and C Harper and has published in prestigious journals such as PLoS ONE, Brain Research and Neuropsychopharmacology.

In The Last Decade

Takeshi Iwazaki

9 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Takeshi Iwazaki Australia	9	307	218	154	67	57	9	537
David M. Otte Germany	11	189 0.6×	170 0.8×	192 1.2×	64 1.0×	75 1.3×	16	492
Matthew J. Pava United States	10	272 0.9×	214 1.0×	92 0.6×	151 2.3×	39 0.7×	11	486
Rebeca Martínez-Turrillas Spain	12	459 1.5×	90 0.4×	323 2.1×	105 1.6×	42 0.7×	14	660
Ana Vicente‐Sánchez Spain	11	389 1.3×	147 0.7×	269 1.7×	44 0.7×	153 2.7×	13	555
Alberto Casti Italy	11	233 0.8×	156 0.7×	99 0.6×	46 0.7×	35 0.6×	17	429
Pedro Araos Spain	18	270 0.9×	187 0.9×	118 0.8×	90 1.3×	79 1.4×	37	717
Robert C. Holley United States	13	429 1.4×	55 0.3×	166 1.1×	137 2.0×	48 0.8×	16	613
Lauren C. Harte‐Hargrove United States	12	450 1.5×	80 0.4×	137 0.9×	106 1.6×	84 1.5×	16	692
Kenji Nakata Japan	16	453 1.5×	193 0.9×	443 2.9×	167 2.5×	100 1.8×	28	1.0k
Thomas D. Corso United States	12	373 1.2×	56 0.3×	246 1.6×	129 1.9×	52 0.9×	17	712

Countries citing papers authored by Takeshi Iwazaki

Since Specialization

Citations

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

Fields of papers citing papers by Takeshi Iwazaki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Iwazaki

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

All Works

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9 of 9 papers shown

Iwazaki, Takeshi, Iain S. McGregor, & Izuru Matsumoto. (2008). Protein expression profile in the amygdala of rats with methamphetamine-induced behavioral sensitization. Neuroscience Letters. 435(2). 113–119. 26 indexed citations

McGrath, John J., Takeshi Iwazaki, Darryl W. Eyles, et al.. (2008). Protein Expression in the Nucleus Accumbens of Rats Exposed to Developmental Vitamin D Deficiency. PLoS ONE. 3(6). e2383–e2383. 45 indexed citations

Iwazaki, Takeshi, Iain S. McGregor, & Izuru Matsumoto. (2007). Protein expression profile in the striatum of rats with methamphetamine‐induced behavioral sensitization. PROTEOMICS. 7(7). 1131–1139. 37 indexed citations

Iwazaki, Takeshi, et al.. (2007). Differential protein expression profiles in the hippocampus of human alcoholics. Neurochemistry International. 51(6-7). 370–376. 44 indexed citations

Matsumoto, Izuru, et al.. (2007). CNS proteomes in alcohol and drug abuse and dependence. Expert Review of Proteomics. 4(4). 539–552. 26 indexed citations

Quinn, Heidi, Izuru Matsumoto, Paul D. Callaghan, et al.. (2007). Adolescent Rats Find Repeated Δ9-THC Less Aversive Than Adult Rats but Display Greater Residual Cognitive Deficits and Changes in Hippocampal Protein Expression Following Exposure. Neuropsychopharmacology. 33(5). 1113–1126. 240 indexed citations

Iwazaki, Takeshi, Iain S. McGregor, & Izuru Matsumoto. (2006). Protein expression profile in the striatum of acute methamphetamine-treated rats. Brain Research. 1097(1). 19–25. 61 indexed citations

Matsumoto, Izuru, et al.. (2005). 5-HT2A and muscarinic receptors in schizophrenia: a postmortem study. Neuroscience Letters. 379(3). 164–168. 43 indexed citations

Iwazaki, Takeshi, Isao Shibata, Shin‐Ichi Niwa, & Izuru Matsumoto. (2004). Selective reduction of chromogranin A-like immunoreactivities in the prefrontal cortex of schizophrenic subjects: a postmortem study. Neuroscience Letters. 367(3). 293–297. 15 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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