Jason M. McEwen

831 total citations
8 papers, 581 citations indexed

About

Jason M. McEwen is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jason M. McEwen has authored 8 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 4 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jason M. McEwen's work include Cellular transport and secretion (5 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Axon Guidance and Neuronal Signaling (2 papers). Jason M. McEwen is often cited by papers focused on Cellular transport and secretion (5 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Axon Guidance and Neuronal Signaling (2 papers). Jason M. McEwen collaborates with scholars based in United States, India and Spain. Jason M. McEwen's co-authors include Joshua M. Kaplan, Yishi Jin, Jon M. Madison, Alexandr Goncharov, Steven Hallam, Kelvin Xi Zhang, S Lawrence Zipursky, Liming Tan, Joby J. Westmoreland and Brian G. Condie and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Jason M. McEwen

8 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason M. McEwen United States 8 361 325 246 159 58 8 581
Anneliese M. Schaefer United States 9 425 1.2× 360 1.1× 226 0.9× 169 1.1× 48 0.8× 9 801
Edward C.G. Pym United States 11 317 0.9× 322 1.0× 186 0.8× 91 0.6× 59 1.0× 11 543
Dinara Shakiryanova United States 12 334 0.9× 411 1.3× 288 1.2× 34 0.2× 46 0.8× 15 599
Carlos A. Díaz-Balzac United States 13 188 0.5× 137 0.4× 125 0.5× 184 1.2× 94 1.6× 22 483
Andrea Holgado United States 9 359 1.0× 295 0.9× 294 1.2× 120 0.8× 55 0.9× 15 579
Chunlai Wu United States 12 559 1.5× 301 0.9× 253 1.0× 79 0.5× 14 0.2× 16 851
Rita Sousa‐Nunes United Kingdom 10 366 1.0× 277 0.9× 133 0.5× 71 0.4× 24 0.4× 11 559
Elizabeth E Glater United States 7 426 1.2× 161 0.5× 186 0.8× 107 0.7× 40 0.7× 8 639
Arantza Barrios United Kingdom 9 474 1.3× 290 0.9× 282 1.1× 258 1.6× 170 2.9× 14 865
Kelly Colombo United States 5 514 1.4× 205 0.6× 321 1.3× 177 1.1× 24 0.4× 5 692

Countries citing papers authored by Jason M. McEwen

Since Specialization
Citations

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

Fields of papers citing papers by Jason M. McEwen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason M. McEwen. 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 Jason M. McEwen. The network helps show where Jason M. McEwen may publish in the future.

Co-authorship network of co-authors of Jason M. McEwen

This figure shows the co-authorship network connecting the top 25 collaborators of Jason M. McEwen. A scholar is included among the top collaborators of Jason M. McEwen 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 Jason M. McEwen. Jason M. McEwen 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.
Zhang, Kelvin Xi, Liming Tan, Matteo Pellegrini, S Lawrence Zipursky, & Jason M. McEwen. (2016). Rapid Changes in the Translatome during the Conversion of Growth Cones to Synaptic Terminals. Cell Reports. 14(5). 1258–1271. 33 indexed citations
2.
Tan, Liming, Kelvin Xi Zhang, Matthew Y. Pecot, et al.. (2015). Ig Superfamily Ligand and Receptor Pairs Expressed in Synaptic Partners in Drosophila. Cell. 163(7). 1756–1769. 119 indexed citations
3.
McEwen, Jason M., et al.. (2008). UNC-108/Rab2 Regulates Postendocytic Trafficking inCaenorhabditis elegans. Molecular Biology of the Cell. 19(7). 2682–2695. 45 indexed citations
4.
McEwen, Jason M. & Joshua M. Kaplan. (2008). UNC-18 Promotes Both the Anterograde Trafficking and Synaptic Function of Syntaxin. Molecular Biology of the Cell. 19(9). 3836–3846. 58 indexed citations
5.
McEwen, Jason M., et al.. (2006). Antagonistic Regulation of Synaptic Vesicle Priming by Tomosyn and UNC-13. Neuron. 51(3). 303–315. 113 indexed citations
6.
Hu, Hailan, Ming Li, Juan-Pablo Labrador, et al.. (2005). Cross GTPase-activating protein (CrossGAP)/Vilse links the Roundabout receptor to Rac to regulate midline repulsion. Proceedings of the National Academy of Sciences. 102(12). 4613–4618. 69 indexed citations
7.
Hallam, Steven, et al.. (2002). SYD-1, a presynaptic protein with PDZ, C2 and rhoGAP-like domains, specifies axon identity in C. elegans. Nature Neuroscience. 5(11). 1137–1146. 88 indexed citations
8.
Westmoreland, Joby J., et al.. (2001). Conserved Function ofCaenorhabditis elegansUNC-30 and Mouse Pitx2 in Controlling GABAergic Neuron Differentiation. Journal of Neuroscience. 21(17). 6810–6819. 56 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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