Joel G. Hashimoto

1.0k total citations
36 papers, 824 citations indexed

About

Joel G. Hashimoto is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Joel G. Hashimoto has authored 36 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 6 papers in Neurology. Recurrent topics in Joel G. Hashimoto's work include Neuroscience and Neuropharmacology Research (10 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Joel G. Hashimoto is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Joel G. Hashimoto collaborates with scholars based in United States, Italy and France. Joel G. Hashimoto's co-authors include Kristine M. Wiren, Amy S. Beadles-Bohling, Deborah A. Finn, Marina Guizzetti, Thomas M. Schmidt, Clare Wilhelm, Bradley S. Stevenson, Brigitte Burt‐Pichat, Chantal Chenu and Michael Bliziotes and has published in prestigious journals such as Biological Psychiatry, Brain Research and Journal of Bacteriology.

In The Last Decade

Joel G. Hashimoto

35 papers receiving 818 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joel G. Hashimoto United States 17 318 270 98 92 87 36 824
Xiangping Zhou China 11 301 0.9× 173 0.6× 33 0.3× 146 1.6× 74 0.9× 35 841
Seishi Maeda Japan 20 361 1.1× 149 0.6× 108 1.1× 111 1.2× 37 0.4× 84 1.3k
Grégory Conductier France 15 308 1.0× 282 1.0× 282 2.9× 177 1.9× 69 0.8× 16 1.1k
Eryan Kong China 14 389 1.2× 131 0.5× 86 0.9× 106 1.2× 117 1.3× 32 1.1k
Igor Bazov Sweden 23 719 2.3× 625 2.3× 176 1.8× 157 1.7× 85 1.0× 43 1.3k
Imre Farkas Hungary 19 284 0.9× 231 0.9× 113 1.2× 318 3.5× 87 1.0× 49 1.5k
Yuyan Cheng United States 14 341 1.1× 138 0.5× 207 2.1× 132 1.4× 210 2.4× 27 958
Ana Lúcia Brunialti Godard Brazil 16 215 0.7× 120 0.4× 47 0.5× 124 1.3× 51 0.6× 50 638
Gulistan Agirman Belgium 10 727 2.3× 135 0.5× 122 1.2× 193 2.1× 33 0.4× 12 1.2k
Hongmei Dai China 19 348 1.1× 163 0.6× 94 1.0× 68 0.7× 30 0.3× 64 1.1k

Countries citing papers authored by Joel G. Hashimoto

Since Specialization
Citations

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

Fields of papers citing papers by Joel G. Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joel G. Hashimoto. 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 Joel G. Hashimoto. The network helps show where Joel G. Hashimoto may publish in the future.

Co-authorship network of co-authors of Joel G. Hashimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Joel G. Hashimoto. A scholar is included among the top collaborators of Joel G. Hashimoto 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 Joel G. Hashimoto. Joel G. Hashimoto 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.
Kawa, Alex B., et al.. (2025). Changes in nucleus accumbens core translatome accompanying incubation of cocaine craving. Neuropsychopharmacology. 50(8). 1305–1316. 3 indexed citations
2.
Guizzetti, Marina, Regina A. Mangieri, Lubov Ezerskiy, et al.. (2025). Astrocytes and Alcohol Throughout the Lifespan. Biological Psychiatry. 99(1). 9–20. 2 indexed citations
3.
Roqué, Pamela J., Andrés Barría, Xiaolu Zhang, et al.. (2023). Synaptogenesis by Cholinergic Stimulation of Astrocytes. Neurochemical Research. 48(10). 3212–3227. 2 indexed citations
4.
Hashimoto, Joel G., Fuming Zhang, Yuefan Song, et al.. (2022). Sex differences in hippocampal structural plasticity and glycosaminoglycan disaccharide levels after neonatal handling. Experimental Neurology. 361. 114313–114313. 3 indexed citations
5.
Zhang, Xiaolu, Joel G. Hashimoto, Xiaorui Han, et al.. (2021). Characterization of Glycosaminoglycan Disaccharide Composition in Astrocyte Primary Cultures and the Cortex of Neonatal Rats. Neurochemical Research. 46(3). 595–610. 9 indexed citations
6.
Zhang, Xiaolu, et al.. (2021). Astrocyte tissue plasminogen activator expression during brain development and its role in pyramidal neuron neurite outgrowth. Neuroscience Letters. 769. 136422–136422. 9 indexed citations
7.
8.
Wilhelm, Clare, et al.. (2018). Plasminogen activator system homeostasis and its dysregulation by ethanol in astrocyte cultures and the developing brain. Neuropharmacology. 138. 193–209. 18 indexed citations
9.
Gavin, David P., Joel G. Hashimoto, Nathan H. Lazar, et al.. (2018). Stable Histone Methylation Changes at Proteoglycan Network Genes Following Ethanol Exposure. Frontiers in Genetics. 9. 346–346. 11 indexed citations
10.
Hashimoto, Joel G., David P. Gavin, Kristine M. Wiren, John C. Crabbe, & Marina Guizzetti. (2017). Prefrontal cortex expression of chromatin modifier genes in male WSP and WSR mice changes across ethanol dependence, withdrawal, and abstinence. Alcohol. 60. 83–94. 12 indexed citations
11.
Wilhelm, Clare, et al.. (2014). Understanding the addiction cycle: A complex biology with distinct contributions of genotype vs. sex at each stage. Neuroscience. 279. 168–186. 24 indexed citations
12.
Cozzoli, Debra K., et al.. (2013). The Effect of mGluR5 Antagonism During Binge Drinking on Subsequent Ethanol Intake in C57BL/6J Mice: Sex‐ and Age‐Induced Differences. Alcoholism Clinical and Experimental Research. 38(3). 730–738. 21 indexed citations
13.
Wiren, Kristine M., et al.. (2011). Bone vs. fat: Embryonic origin of progenitors determines response to androgen in adipocytes and osteoblasts. Bone. 49(4). 662–672. 17 indexed citations
14.
15.
Hashimoto, Joel G., et al.. (2010). Elevated testosterone in females reveals a robust sex difference in altered androgen levels during chronic alcohol withdrawal. Alcohol. 45(2). 161–171. 20 indexed citations
16.
Tanchuck, Michelle A., Matthew M. Ford, Joel G. Hashimoto, et al.. (2009). Selected Line Difference in the Effects of Ethanol Dependence and Withdrawal on Allopregnanolone Levels and 5α‐Reductase Enzyme Activity and Expression. Alcoholism Clinical and Experimental Research. 33(12). 2077–2087. 15 indexed citations
17.
Wheeler, Jeanna M., Cheryl Reed, Sue Burkhart‐Kasch, et al.. (2009). Genetically correlated effects of selective breeding for high and low methamphetamine consumption. Genes Brain & Behavior. 8(8). 758–771. 63 indexed citations
18.
Bliziotes, Michael, Amy J. Eshleman, Brigitte Burt‐Pichat, et al.. (2006). Serotonin transporter and receptor expression in osteocytic MLO-Y4 cells. Bone. 39(6). 1313–1321. 99 indexed citations
19.
McBride, William J., Robnet T. Kerns, Zachary A. Rodd, et al.. (2005). Alcohol Effects on Central Nervous System Gene Expression in Genetic Animal Models. Alcoholism Clinical and Experimental Research. 29(2). 167–175. 14 indexed citations
20.
Hashimoto, Joel G., Amy S. Beadles-Bohling, & Kristine M. Wiren. (2004). Comparison of RiboGreen ® and 18S rRNA quantitation for normalizing real-time RT-PCR expression analysis. BioTechniques. 36(1). 54–60. 102 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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