Aaron Katzman

412 total citations
9 papers, 230 citations indexed

About

Aaron Katzman is a scholar working on Cellular and Molecular Neuroscience, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Aaron Katzman has authored 9 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Genetics and 3 papers in Cognitive Neuroscience. Recurrent topics in Aaron Katzman's work include Genetics and Neurodevelopmental Disorders (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Aaron Katzman is often cited by papers focused on Genetics and Neurodevelopmental Disorders (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Aaron Katzman collaborates with scholars based in United States and Canada. Aaron Katzman's co-authors include Cristina M. Alberini, Zeeba D. Kabir, Barry E. Kosofsky, Kiran Pandey, Xiaowen Yu, David Lindenbach, Melissa M. Conti, Corinne Y. Ostock, Christopher Bishop and Giannina Descalzi and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Biological Psychiatry.

In The Last Decade

Aaron Katzman

9 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aaron Katzman United States	9	87	73	58	53	40	9	230
Giulia Poggi Germany	9	58 0.7×	80 1.1×	49 0.8×	61 1.2×	36 0.9×	18	269
Asako Kosuga Japan	11	135 1.6×	105 1.4×	68 1.2×	16 0.3×	52 1.3×	13	311
Zoë Bichler United States	11	132 1.5×	179 2.5×	94 1.6×	67 1.3×	58 1.4×	16	401
Hannah Bennett United States	7	41 0.5×	52 0.7×	51 0.9×	20 0.4×	67 1.7×	17	224
Jessie I. Luoma United States	8	138 1.6×	170 2.3×	91 1.6×	39 0.7×	13 0.3×	8	364
Xiaoxia Li United States	7	113 1.3×	137 1.9×	61 1.1×	15 0.3×	26 0.7×	11	323
Indrek Heinla Estonia	11	66 0.8×	163 2.2×	75 1.3×	17 0.3×	20 0.5×	16	328
Charlotte Vanacker United States	9	59 0.7×	101 1.4×	64 1.1×	18 0.3×	16 0.4×	11	401
Jianli Sun United States	12	168 1.9×	182 2.5×	50 0.9×	26 0.5×	39 1.0×	19	371
Ryan J. Kast United States	8	130 1.5×	156 2.1×	62 1.1×	38 0.7×	46 1.1×	10	304

Countries citing papers authored by Aaron Katzman

Since Specialization

Citations

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

Fields of papers citing papers by Aaron Katzman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron Katzman

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron Katzman. A scholar is included among the top collaborators of Aaron Katzman 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 Aaron Katzman. Aaron Katzman 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

Katzman, Aaron, Alireza Khodadadi‐Jamayran, Xiaojing Ye, et al.. (2021). Distinct Transcriptomic Profiles in the Dorsal Hippocampus and Prelimbic Cortex Are Transiently Regulated following Episodic Learning. Journal of Neuroscience. 41(12). 2601–2614. 13 indexed citations

Cruz, Emmanuel, Giannina Descalzi, Adam B. Steinmetz, et al.. (2020). CIM6P/IGF‐2 Receptor Ligands Reverse Deficits in Angelman Syndrome Model Mice. Autism Research. 14(1). 29–45. 31 indexed citations

Yu, Xiaowen, Kiran Pandey, Aaron Katzman, & Cristina M. Alberini. (2020). A role for CIM6P/IGF2 receptor in memory consolidation and enhancement. eLife. 9. 31 indexed citations

Katzman, Aaron & Cristina M. Alberini. (2017). NLGN1 and NLGN2 in the prefrontal cortex: their role in memory consolidation and strengthening. Current Opinion in Neurobiology. 48. 122–130. 30 indexed citations

Michaelson, Jacob J., Min‐Kyoo Shin, Jin‐Young Koh, et al.. (2017). Neuronal PAS Domain Proteins 1 and 3 Are Master Regulators of Neuropsychiatric Risk Genes. Biological Psychiatry. 82(3). 213–223. 26 indexed citations

Kabir, Zeeba D., Bruce C. Kennedy, Aaron Katzman, Garet P. Lahvis, & Barry E. Kosofsky. (2014). Effects of Prenatal Cocaine Exposure on Social Development in Mice. Developmental Neuroscience. 36(3-4). 338–346. 13 indexed citations

Conti, Melissa M., et al.. (2013). Effects of prolonged selective serotonin reuptake inhibition on the development and expression of l-DOPA-induced dyskinesia in hemi-parkinsonian rats. Neuropharmacology. 77. 1–8. 59 indexed citations

Kabir, Zeeba D., Aaron Katzman, & Barry E. Kosofsky. (2013). Molecular Mechanisms Mediating a Deficit in Recall of Fear Extinction in Adult Mice Exposed to Cocaine In Utero. PLoS ONE. 8(12). e84165–e84165. 16 indexed citations

Kabir, Zeeba D., Maureen Byrne, Aaron Katzman, et al.. (2012). Brain-Derived Neurotrophic Factor Genotype Impacts the Prenatal Cocaine-Induced Mouse Phenotype. Developmental Neuroscience. 34(2-3). 184–197. 11 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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