Kevin C. Crosby

1.2k total citations
17 papers, 847 citations indexed

About

Kevin C. Crosby is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biophysics. According to data from OpenAlex, Kevin C. Crosby has authored 17 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 3 papers in Biophysics. Recurrent topics in Kevin C. Crosby's work include Neuroscience and Neuropharmacology Research (8 papers), Photoreceptor and optogenetics research (5 papers) and Plant Gene Expression Analysis (4 papers). Kevin C. Crosby is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Photoreceptor and optogenetics research (5 papers) and Plant Gene Expression Analysis (4 papers). Kevin C. Crosby collaborates with scholars based in United States, Netherlands and Germany. Kevin C. Crosby's co-authors include A. Winkel, Daniel K. Owens, Mark L. Dell’Acqua, Aloka B. Bandara, James H. Westwood, Theodorus W. J. Gadella, Sara E. Gookin, Katharine R. Smith, Anna Pietraszewska‐Bogiel and Matthew J. Kennedy and has published in prestigious journals such as Neuron, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Kevin C. Crosby

17 papers receiving 837 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin C. Crosby United States 11 596 259 178 97 95 17 847
Nathaniel Calloway United States 9 582 1.0× 434 1.7× 26 0.1× 42 0.4× 93 1.0× 9 1.1k
William F. Borschel United States 11 405 0.7× 216 0.8× 101 0.6× 18 0.2× 34 0.4× 13 714
Maria V. Yelshanskaya United States 16 923 1.5× 802 3.1× 150 0.8× 8 0.1× 49 0.5× 33 1.4k
Manu Ben‐Johny United States 21 1.1k 1.8× 535 2.1× 50 0.3× 69 0.7× 7 0.1× 51 1.4k
Can Yuan United States 22 1.0k 1.7× 293 1.1× 358 2.0× 14 0.1× 43 0.5× 41 1.4k
Badr A. Alseikhan United States 9 1.5k 2.6× 967 3.7× 42 0.2× 81 0.8× 10 0.1× 9 1.7k
Yanrui Yang China 16 639 1.1× 323 1.2× 52 0.3× 214 2.2× 5 0.1× 23 1.2k
Shuji Tachibanaki Japan 16 867 1.5× 731 2.8× 58 0.3× 12 0.1× 101 1.1× 34 1.1k
Yun Kyung Park South Korea 8 195 0.3× 328 1.3× 30 0.2× 50 0.5× 21 0.2× 12 604

Countries citing papers authored by Kevin C. Crosby

Since Specialization
Citations

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

Fields of papers citing papers by Kevin C. Crosby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin C. Crosby. 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 Kevin C. Crosby. The network helps show where Kevin C. Crosby may publish in the future.

Co-authorship network of co-authors of Kevin C. Crosby

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

All Works

17 of 17 papers shown
1.
Gookin, Sara E., et al.. (2023). AMPA and GABAA receptor nanodomains assemble in the absence of synaptic neurotransmitter release. Frontiers in Molecular Neuroscience. 16. 1232795–1232795. 3 indexed citations
2.
Buchta, William C., Sara E. Gookin, Christina S. Winborn, et al.. (2023). Acute reorganization of postsynaptic GABAA receptors reveals the functional impact of molecular nanoarchitecture at inhibitory synapses. Cell Reports. 42(11). 113331–113331. 6 indexed citations
3.
Gookin, Sara E., Matthew R.G. Taylor, Samantha L. Schwartz, et al.. (2022). Complementary Use of Super-Resolution Imaging Modalities to Study the Nanoscale Architecture of Inhibitory Synapses. Frontiers in Synaptic Neuroscience. 14. 852227–852227. 9 indexed citations
4.
Chen, Xiaobing, Kevin C. Crosby, Austin Y. Feng, et al.. (2022). Palmitoylation of A-kinase anchoring protein 79/150 modulates its nanoscale organization, trafficking, and mobility in postsynaptic spines. Frontiers in Synaptic Neuroscience. 14. 1004154–1004154. 9 indexed citations
5.
Gookin, Sara E., Kevin C. Crosby, Samantha L. Schwartz, et al.. (2021). Stepwise disassembly of GABAergic synapses during pathogenic excitotoxicity. Cell Reports. 37(12). 110142–110142. 27 indexed citations
6.
Brown, Carolyn Nicole, Sarah G. Cook, Kevin C. Crosby, et al.. (2021). Characterization of six CaMKIIα variants found in patients with schizophrenia. iScience. 24(10). 103184–103184. 10 indexed citations
7.
Crosby, Kevin C., et al.. (2019). Nanoscale Subsynaptic Domains Underlie the Organization of the Inhibitory Synapse. Cell Reports. 26(12). 3284–3297.e3. 95 indexed citations
8.
Murphy, Jonathan G., Kevin C. Crosby, Philip J. Dittmer, William A. Sather, & Mark L. Dell’Acqua. (2019). AKAP79/150 recruits the transcription factor NFAT to regulate signaling to the nucleus by neuronal L-type Ca2+channels. Molecular Biology of the Cell. 30(14). 1743–1756. 30 indexed citations
9.
Watkinson, Jonathan I., et al.. (2018). Identification of MOS9 as an interaction partner for chalcone synthase in the nucleus. PeerJ. 6. e5598–e5598. 5 indexed citations
10.
Purkey, Alicia, Kevin M. Woolfrey, Kevin C. Crosby, et al.. (2018). AKAP150 Palmitoylation Regulates Synaptic Incorporation of Ca2+-Permeable AMPA Receptors to Control LTP. Cell Reports. 25(4). 974–987.e4. 57 indexed citations
11.
Bowen, Aaron B., Brian G. Hiester, Kevin C. Crosby, et al.. (2017). Optogenetic Control of Synaptic Composition and Function. Neuron. 93(3). 646–660.e5. 101 indexed citations
12.
Crosby, Kevin C., et al.. (2014). The fidelity of stochastic single-molecule super-resolution reconstructions critically depends upon robust background estimation. Scientific Reports. 4(1). 3854–3854. 61 indexed citations
13.
Crosby, Kevin C., et al.. (2013). Quantitative Analysis of Self-Association and Mobility of Annexin A4 at the Plasma Membrane. Biophysical Journal. 104(9). 1875–1885. 29 indexed citations
14.
Adjobo-Hermans, Merel J.W., Kevin C. Crosby, Mateusz Putyrski, et al.. (2012). PLCβ isoforms differ in their subcellular location and their CT-domain dependent interaction with Gαq. Cellular Signalling. 25(1). 255–263. 26 indexed citations
15.
Crosby, Kevin C., Anna Pietraszewska‐Bogiel, Theodorus W. J. Gadella, & A. Winkel. (2011). Förster resonance energy transfer demonstrates a flavonoid metabolon in living plant cells that displays competitive interactions between enzymes. FEBS Letters. 585(14). 2193–2198. 68 indexed citations
16.
Owens, Daniel K., et al.. (2008). Biochemical and genetic characterization of Arabidopsis flavanone 3β-hydroxylase. Plant Physiology and Biochemistry. 46(10). 833–843. 87 indexed citations
17.
Owens, Daniel K., et al.. (2008). Functional Analysis of a Predicted Flavonol Synthase Gene Family in Arabidopsis    . PLANT PHYSIOLOGY. 147(3). 1046–1061. 224 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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