Benjamin W. Okaty

1.8k total citations
16 papers, 1.2k citations indexed

About

Benjamin W. Okaty is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Benjamin W. Okaty has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 5 papers in Cognitive Neuroscience. Recurrent topics in Benjamin W. Okaty's work include Neural dynamics and brain function (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Receptor Mechanisms and Signaling (4 papers). Benjamin W. Okaty is often cited by papers focused on Neural dynamics and brain function (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Receptor Mechanisms and Signaling (4 papers). Benjamin W. Okaty collaborates with scholars based in United States, Norway and Canada. Benjamin W. Okaty's co-authors include Sacha B. Nelson, Susan M. Dymecki, Ken Sugino, Mark N. Miller, Kathryn G. Commons, Chris M. Hempel, Benjamin D. Rood, Morgan E. Freret, Jun Chul Kim and Melloni N. Cook and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Benjamin W. Okaty

16 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
Benjamin W. Okaty United States 15 581 560 367 142 131 16 1.2k
Chinh Dang United States 7 340 0.6× 622 1.1× 355 1.0× 134 0.9× 98 0.7× 10 1.3k
Andrew L. Lemire United States 20 612 1.1× 688 1.2× 312 0.9× 270 1.9× 174 1.3× 29 1.6k
Drew Friedmann United States 10 669 1.2× 435 0.8× 489 1.3× 58 0.4× 160 1.2× 13 1.2k
Yousheng Jia United States 24 1.0k 1.8× 715 1.3× 424 1.2× 114 0.8× 89 0.7× 35 1.6k
M. Isabel Aller Spain 23 834 1.4× 967 1.7× 311 0.8× 112 0.8× 106 0.8× 34 1.6k
Eliza L. Adams United States 9 464 0.8× 429 0.8× 374 1.0× 58 0.4× 107 0.8× 9 1.2k
Conor D. Cox United States 17 506 0.9× 232 0.4× 361 1.0× 149 1.0× 139 1.1× 24 1.0k
Mizuki Kanemoto Japan 6 648 1.1× 379 0.7× 234 0.6× 58 0.4× 123 0.9× 11 1.0k
Nathalie Dehorter Australia 14 633 1.1× 384 0.7× 356 1.0× 129 0.9× 130 1.0× 21 1.1k
Chris M. Hempel United States 14 824 1.4× 759 1.4× 571 1.6× 162 1.1× 160 1.2× 20 1.5k

Countries citing papers authored by Benjamin W. Okaty

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin W. Okaty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin W. Okaty. 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 Benjamin W. Okaty. The network helps show where Benjamin W. Okaty may publish in the future.

Co-authorship network of co-authors of Benjamin W. Okaty

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

All Works

16 of 16 papers shown
1.
Cummings, Kevin J., James C. Leiter, Felicia Trachtenberg, et al.. (2024). Altered 5-HT2A/C receptor binding in the medulla oblongata in the sudden infant death syndrome (SIDS): Part II. Age-associated alterations in serotonin receptor binding profiles within medullary nuclei supporting cardiorespiratory homeostasis. Journal of Neuropathology & Experimental Neurology. 83(3). 144–160. 3 indexed citations
2.
Huber, Bertrand R., Thor D. Stein, Victor E. Alvarez, et al.. (2021). Altered oligodendroglia and astroglia in chronic traumatic encephalopathy. Acta Neuropathologica. 142(2). 295–321. 28 indexed citations
3.
Okaty, Benjamin W., Yasmin Escobedo-Lozoya, YoonJeung Chang, et al.. (2020). A single-cell transcriptomic and anatomic atlas of mouse dorsal raphe Pet1 neurons. eLife. 9. 76 indexed citations
4.
Alekseyenko, Olga V., Yick-Bun Chan, Benjamin W. Okaty, et al.. (2019). Serotonergic Modulation of Aggression in Drosophila Involves GABAergic and Cholinergic Opposing Pathways. Current Biology. 29(13). 2145–2156.e5. 30 indexed citations
5.
Okaty, Benjamin W., Kathryn G. Commons, & Susan M. Dymecki. (2019). Embracing diversity in the 5-HT neuronal system. Nature reviews. Neuroscience. 20(7). 397–424. 203 indexed citations
6.
Okaty, Benjamin W., et al.. (2019). Molecular Profiling Defines Evolutionarily Conserved Transcription Factor Signatures of Major Vestibulospinal Neuron Groups. eNeuro. 6(1). ENEURO.0475–18.2019. 15 indexed citations
7.
Tatavarty, Vedakumar, Ken Sugino, Yasuyuki Shima, et al.. (2016). Upregulation of μ3A Drives Homeostatic Plasticity by Rerouting AMPAR into the Recycling Endosomal Pathway. Cell Reports. 16(10). 2711–2722. 18 indexed citations
8.
Niederkofler, Vera, Benjamin W. Okaty, Benjamin D. Rood, et al.. (2016). Identification of Serotonergic Neuronal Modules that Affect Aggressive Behavior. Cell Reports. 17(8). 1934–1949. 73 indexed citations
9.
Okaty, Benjamin W., Morgan E. Freret, Benjamin D. Rood, et al.. (2015). Multi-Scale Molecular Deconstruction of the Serotonin Neuron System. Neuron. 88(4). 774–791. 155 indexed citations
10.
Sugino, Kyoka, Chris M. Hempel, Benjamin W. Okaty, et al.. (2014). Cell-Type-Specific Repression by Methyl-CpG-Binding Protein 2 Is Biased toward Long Genes. Journal of Neuroscience. 34(38). 12877–12883. 98 indexed citations
11.
Grange, Pascal, Jason W. Bohland, Benjamin W. Okaty, et al.. (2014). Cell-type–based model explaining coexpression patterns of genes in the brain. Proceedings of the National Academy of Sciences. 111(14). 5397–5402. 46 indexed citations
12.
Okaty, Benjamin W., Ken Sugino, & Sacha B. Nelson. (2011). Cell Type-Specific Transcriptomics in the Brain. Journal of Neuroscience. 31(19). 6939–6943. 79 indexed citations
13.
Okaty, Benjamin W., Ken Sugino, & Sacha B. Nelson. (2011). A Quantitative Comparison of Cell-Type-Specific Microarray Gene Expression Profiling Methods in the Mouse Brain. PLoS ONE. 6(1). e16493–e16493. 85 indexed citations
14.
Miller, Mark N., et al.. (2010). Activity‐dependent changes in the firing properties of neocortical fast‐spiking interneurons in the absence of large changes in gene expression. Developmental Neurobiology. 71(1). 62–70. 29 indexed citations
15.
Okaty, Benjamin W., Mark N. Miller, Ken Sugino, Chris M. Hempel, & Sacha B. Nelson. (2009). Transcriptional and Electrophysiological Maturation of Neocortical Fast-Spiking GABAergic Interneurons. Journal of Neuroscience. 29(21). 7040–7052. 221 indexed citations
16.
Miller, Mark N., Benjamin W. Okaty, & Sacha B. Nelson. (2008). Region-Specific Spike-Frequency Acceleration in Layer 5 Pyramidal Neurons Mediated by Kv1 Subunits. Journal of Neuroscience. 28(51). 13716–13726. 53 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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