Kyle J. Gerber

782 total citations
8 papers, 207 citations indexed

About

Kyle J. Gerber is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Kyle J. Gerber has authored 8 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Genetics. Recurrent topics in Kyle J. Gerber's work include Neuroscience and Neuropharmacology Research (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Kyle J. Gerber is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Kyle J. Gerber collaborates with scholars based in United States. Kyle J. Gerber's co-authors include John R. Hepler, Katherine E. Squires, Kerry J. Ressler, Kelsey S. Zimmermann, Ryan G. Parsons, Shannon L. Gourley, Duc M. Duong, Nicholas T. Seyfried, Serena M. Dudek and Jean‐François Paré and has published in prestigious journals such as Journal of Biological Chemistry, PLoS Biology and Molecular Pharmacology.

In The Last Decade

Kyle J. Gerber

8 papers receiving 206 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle J. Gerber United States 8 134 92 26 24 23 8 207
Chen Ding United States 8 157 1.2× 116 1.3× 38 1.5× 12 0.5× 11 0.5× 9 291
Yanfen Teng United States 8 251 1.9× 122 1.3× 32 1.2× 12 0.5× 23 1.0× 8 348
Patrik Hollós Finland 8 169 1.3× 86 0.9× 60 2.3× 23 1.0× 9 0.4× 9 339
Kristen K.O. Kim United States 7 154 1.1× 89 1.0× 10 0.4× 52 2.2× 16 0.7× 9 271
Hiroko Nomaru Japan 9 219 1.6× 70 0.8× 39 1.5× 14 0.6× 9 0.4× 12 349
María Royo Spain 6 161 1.2× 168 1.8× 19 0.7× 32 1.3× 8 0.3× 10 298
Michael S. Hester United States 7 92 0.7× 211 2.3× 41 1.6× 34 1.4× 8 0.3× 7 329
Katherine E. Squires United States 8 161 1.2× 95 1.0× 32 1.2× 24 1.0× 8 0.3× 12 246
Richard Dang United States 7 193 1.4× 104 1.1× 66 2.5× 60 2.5× 19 0.8× 7 261
Huiyi Jiang China 11 167 1.2× 60 0.7× 43 1.7× 62 2.6× 7 0.3× 21 321

Countries citing papers authored by Kyle J. Gerber

Since Specialization
Citations

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

Fields of papers citing papers by Kyle J. Gerber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle J. Gerber. 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 Kyle J. Gerber. The network helps show where Kyle J. Gerber may publish in the future.

Co-authorship network of co-authors of Kyle J. Gerber

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

All Works

8 of 8 papers shown
1.
Squires, Katherine E., Kyle J. Gerber, Daniel J. Lustberg, et al.. (2020). Human genetic variants disrupt RGS14 nuclear shuttling and regulation of LTP in hippocampal neurons. Journal of Biological Chemistry. 296. 100024–100024. 9 indexed citations
2.
3.
Gerber, Kyle J., Eric B. Dammer, Duc M. Duong, et al.. (2019). Specific Proteomes of Hippocampal Regions CA2 and CA1 Reveal Proteins Linked to the Unique Physiology of Area CA2. Journal of Proteome Research. 18(6). 2571–2584. 14 indexed citations
4.
Gerber, Kyle J., Eric B. Dammer, Duc M. Duong, et al.. (2018). Interactome Analysis Reveals Regulator of G Protein Signaling 14 (RGS14) is a Novel Calcium/Calmodulin (Ca2+/CaM) and CaM Kinase II (CaMKII) Binding Partner. Journal of Proteome Research. 17(4). 1700–1711. 18 indexed citations
5.
Gerber, Kyle J., Katherine E. Squires, & John R. Hepler. (2018). 14-3-3γ binds regulator of G protein signaling 14 (RGS14) at distinct sites to inhibit the RGS14:Gαi–AlF4− signaling complex and RGS14 nuclear localization. Journal of Biological Chemistry. 293(38). 14616–14631. 13 indexed citations
6.
Gerber, Kyle J., et al.. (2017). Regulation of actions and habits by ventral hippocampal trkB and adolescent corticosteroid exposure. PLoS Biology. 15(11). e2003000–e2003000. 31 indexed citations
7.
Squires, Katherine E., et al.. (2017). Regulator of G protein signaling 14 (RGS14) is expressed pre- and postsynaptically in neurons of hippocampus, basal ganglia, and amygdala of monkey and human brain. Brain Structure and Function. 223(1). 233–253. 22 indexed citations
8.
Gerber, Kyle J., Katherine E. Squires, & John R. Hepler. (2015). Roles for Regulator of G Protein Signaling Proteins in Synaptic Signaling and Plasticity. Molecular Pharmacology. 89(2). 273–286. 90 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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