Charles A. Hoeffer

6.2k total citations · 2 hit papers
48 papers, 4.6k citations indexed

About

Charles A. Hoeffer is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Charles A. Hoeffer has authored 48 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 22 papers in Cellular and Molecular Neuroscience and 17 papers in Genetics. Recurrent topics in Charles A. Hoeffer's work include Neuroscience and Neuropharmacology Research (14 papers), Genetics and Neurodevelopmental Disorders (13 papers) and Receptor Mechanisms and Signaling (9 papers). Charles A. Hoeffer is often cited by papers focused on Neuroscience and Neuropharmacology Research (14 papers), Genetics and Neurodevelopmental Disorders (13 papers) and Receptor Mechanisms and Signaling (9 papers). Charles A. Hoeffer collaborates with scholars based in United States, Germany and France. Charles A. Hoeffer's co-authors include Eric Klann, Helen Wong, Dan R. Littman, Gloria B. Choi, Yeong Shin Yim, Hyunju Kim, Jun R. Huh, Sangwon V. Kim, R. Suzanne Zukin and Sean McBride and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Charles A. Hoeffer

46 papers receiving 4.5k citations

Hit Papers

mTOR signaling: At the crossroads of plasticity, memory a... 2009 2026 2014 2020 2009 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles A. Hoeffer United States 26 2.2k 1.4k 1.1k 954 756 48 4.6k
Ramona M. Rodriguiz United States 44 3.1k 1.4× 2.6k 1.9× 1.2k 1.1× 1.2k 1.2× 559 0.7× 99 6.6k
Zsolt Liposits Hungary 57 1.8k 0.8× 2.1k 1.6× 1.0k 1.0× 712 0.7× 1.2k 1.6× 185 9.0k
Peter Gass Germany 40 3.0k 1.4× 2.9k 2.1× 718 0.7× 678 0.7× 799 1.1× 82 7.7k
Eero Vasar Estonia 44 2.5k 1.1× 2.5k 1.8× 665 0.6× 542 0.6× 1.1k 1.4× 259 6.6k
Farahnaz Sananbenesi Germany 26 3.1k 1.4× 1.3k 1.0× 1.1k 1.0× 653 0.7× 1.2k 1.6× 37 5.4k
Mehrdad Shamloo United States 41 2.7k 1.2× 1.8k 1.3× 543 0.5× 466 0.5× 1.1k 1.4× 74 5.5k
Mitsuyuki Matsumoto Japan 34 2.0k 0.9× 1.7k 1.2× 936 0.9× 1.2k 1.2× 624 0.8× 85 5.2k
Rainald Mößner Germany 37 1.6k 0.7× 2.1k 1.5× 535 0.5× 705 0.7× 508 0.7× 99 5.2k
Elizabeth A. Thomas United States 46 3.0k 1.4× 2.0k 1.5× 665 0.6× 385 0.4× 1.2k 1.6× 129 5.9k
Baoji Xu United States 44 2.8k 1.3× 3.4k 2.5× 590 0.5× 771 0.8× 1.1k 1.5× 65 7.1k

Countries citing papers authored by Charles A. Hoeffer

Since Specialization
Citations

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

Fields of papers citing papers by Charles A. Hoeffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles A. Hoeffer. 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 Charles A. Hoeffer. The network helps show where Charles A. Hoeffer may publish in the future.

Co-authorship network of co-authors of Charles A. Hoeffer

This figure shows the co-authorship network connecting the top 25 collaborators of Charles A. Hoeffer. A scholar is included among the top collaborators of Charles A. Hoeffer 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 Charles A. Hoeffer. Charles A. Hoeffer 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
2.
Hoeffer, Charles A., et al.. (2023). Testing associations between human anxiety and genes previously implicated by mouse anxiety models. Genes Brain & Behavior. 22(6). e12851–e12851. 3 indexed citations
3.
Lowry, Christopher A., et al.. (2023). Diazepam effects on anxiety-related defensive behavior of male and female high and low open‐field activity inbred mouse strains. Physiology & Behavior. 271. 114343–114343. 8 indexed citations
4.
Link, Christopher D., et al.. (2022). TDP-43 knockdown in mouse model of ALS leads to dsRNA deposition, gliosis, and neurodegeneration in the spinal cord. Cerebral Cortex. 33(10). 5808–5816. 9 indexed citations
5.
Colbert, Sarah M. C., Emma C. Johnson, Claire L. Morrison, et al.. (2021). Novel characterization of the multivariate genetic architecture of internalizing psychopathology and alcohol use. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 186(6). 353–366. 6 indexed citations
6.
Cowansage, Kiriana K., et al.. (2021). Upregulation of eIF4E, but not other translation initiation factors, in dendritic spines during memory formation. The Journal of Comparative Neurology. 529(11). 3112–3126. 11 indexed citations
7.
Levenga, Josien, et al.. (2021). Immunohistological Examination of AKT Isoforms in the Brain: Cell-Type Specificity That May Underlie AKT’s Role in Complex Brain Disorders and Neurological Disease. Cerebral Cortex Communications. 2(2). tgab036–tgab036. 11 indexed citations
8.
Evans, Luke M., Emma C. Johnson, John K. Hewitt, et al.. (2020). The Role of A Priori–Identified Addiction and Smoking Gene Sets in Smoking Behaviors. Nicotine & Tobacco Research. 22(8). 1310–1315. 5 indexed citations
10.
11.
Levenga, Josien, et al.. (2017). AKT isoforms have distinct hippocampal expression and roles in synaptic plasticity. eLife. 6. 78 indexed citations
12.
Wong, Helen & Charles A. Hoeffer. (2017). Maternal IL-17A in autism. Experimental Neurology. 299(Pt A). 228–240. 96 indexed citations
13.
Choi, Gloria B., Yeong Shin Yim, Helen Wong, et al.. (2016). The maternal interleukin-17a pathway in mice promotes autism-like phenotypes in offspring. Science. 351(6276). 933–939. 861 indexed citations breakdown →
14.
Hoeffer, Charles A., Helen Wong, Peter Cain, et al.. (2013). Regulator of Calcineurin 1 Modulates Expression of Innate Anxiety and Anxiogenic Responses to Selective Serotonin Reuptake Inhibitor Treatment. Journal of Neuroscience. 33(43). 16930–16944. 13 indexed citations
15.
Hoeffer, Charles A., Randi J. Hagerman, Yi Mu, et al.. (2012). Altered mTOR signaling and enhanced CYFIP2 expression levels in subjects with fragile X syndrome. Genes Brain & Behavior. 11(3). 332–341. 153 indexed citations
16.
Suvrathan, Aparna, Charles A. Hoeffer, Helen Wong, Eric Klann, & Sumantra Chattarji. (2010). Characterization and reversal of synaptic defects in the amygdala in a mouse model of fragile X syndrome. Proceedings of the National Academy of Sciences. 107(25). 11591–11596. 115 indexed citations
17.
Sharma, Ali, Charles A. Hoeffer, Yukihiro Takayasu, et al.. (2010). Dysregulation of mTOR Signaling in Fragile X Syndrome. Journal of Neuroscience. 30(2). 694–702. 438 indexed citations
18.
Ma, Tao, Charles A. Hoeffer, Estibaliz Capetillo‐Zarate, et al.. (2010). Dysregulation of the mTOR Pathway Mediates Impairment of Synaptic Plasticity in a Mouse Model of Alzheimer's Disease. PLoS ONE. 5(9). e12845–e12845. 214 indexed citations
19.
Antion, Marcia D., Maayan Merhav, Charles A. Hoeffer, et al.. (2008). Removal of S6K1 and S6K2 leads to divergent alterations in learning, memory, and synaptic plasticity. Learning & Memory. 15(1). 29–38. 115 indexed citations
20.
Hoeffer, Charles A., Asim Dey, Nita Sachan, et al.. (2007). The Down Syndrome Critical Region Protein RCAN1 Regulates Long-Term Potentiation and Memory via Inhibition of Phosphatase Signaling. Journal of Neuroscience. 27(48). 13161–13172. 93 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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