Shane E. Andrews

1.8k total citations
9 papers, 769 citations indexed

About

Shane E. Andrews is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Shane E. Andrews has authored 9 papers receiving a total of 769 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 Cell Biology. Recurrent topics in Shane E. Andrews's work include Axon Guidance and Neuronal Signaling (3 papers), Zebrafish Biomedical Research Applications (3 papers) and Neurobiology and Insect Physiology Research (2 papers). Shane E. Andrews is often cited by papers focused on Axon Guidance and Neuronal Signaling (3 papers), Zebrafish Biomedical Research Applications (3 papers) and Neurobiology and Insect Physiology Research (2 papers). Shane E. Andrews collaborates with scholars based in United States and Canada. Shane E. Andrews's co-authors include Samuel L. Pfaff, Till Marquardt, Karen Lettieri, Sourav Ghosh, Nigel Carter, Tony Hunter, Ryuichi Shirasaki, Joshua P. Thaler, Jianxun Wang and Shawn P. Driscoll and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Shane E. Andrews

9 papers receiving 764 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shane E. Andrews United States	8	543	328	185	147	86	9	769
Randal Hand United States	10	557 1.0×	375 1.1×	166 0.9×	242 1.6×	33 0.4×	15	897
Chunlai Wu United States	12	559 1.0×	301 0.9×	253 1.4×	32 0.2×	32 0.4×	16	851
Zhaohuai Yang United States	9	531 1.0×	216 0.7×	624 3.4×	69 0.5×	42 0.5×	10	909
Talia Levy Israel	11	346 0.6×	189 0.6×	229 1.2×	168 1.1×	12 0.1×	13	650
Kuo Yan Germany	7	228 0.4×	134 0.4×	48 0.3×	119 0.8×	57 0.7×	12	408
Jacqueline H. Finger United States	11	442 0.8×	170 0.5×	84 0.5×	103 0.7×	16 0.2×	12	647
Clare E. Buckley United Kingdom	8	243 0.4×	106 0.3×	219 1.2×	95 0.6×	52 0.6×	15	486
Wolfgang Wagner Germany	13	462 0.9×	245 0.7×	316 1.7×	36 0.2×	16 0.2×	17	694
S. Ali M. Shariati United States	9	721 1.3×	98 0.3×	58 0.3×	62 0.4×	44 0.5×	9	893

Countries citing papers authored by Shane E. Andrews

Since Specialization

Citations

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

Fields of papers citing papers by Shane E. Andrews

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shane E. Andrews. 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 Shane E. Andrews. The network helps show where Shane E. Andrews may publish in the future.

Co-authorship network of co-authors of Shane E. Andrews

This figure shows the co-authorship network connecting the top 25 collaborators of Shane E. Andrews. A scholar is included among the top collaborators of Shane E. Andrews 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 Shane E. Andrews. Shane E. Andrews 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

Andrews, Shane E., Robie A. Hennigar, & Hari K. Kunduri. (2020). Chemistry and complexity for solitons in AdS ₅. Classical and Quantum Gravity. 37(20). 204002–204002. 13 indexed citations

Andrews, Shane E., et al.. (2011). Multiple mechanisms collaborate to repress nanos translation in the Drosophila ovary and embryo. RNA. 17(5). 967–977. 27 indexed citations

Macfarlan, Todd S., Wesley D. Gifford, Saurabh Agarwal, et al.. (2011). Endogenous retroviruses and neighboring genes are coordinately repressed by LSD1/KDM1A. Genes & Development. 25(6). 594–607. 209 indexed citations

Padmanabhan, Krishnan, Shane E. Andrews, & James A. J. Fitzpatrick. (2010). Multi‐Photon Imaging. Current Protocols in Cytometry. 54(1). Unit2.9–Unit2.9. 7 indexed citations

Menon, Kaushiki P., Shane E. Andrews, Mala Murthy, Elizabeth R. Gavis, & Kai Zinn. (2009). The Translational Repressors Nanos and Pumilio Have Divergent Effects on Presynaptic Terminal Growth and Postsynaptic Glutamate Receptor Subunit Composition. Journal of Neuroscience. 29(17). 5558–5572. 55 indexed citations

Bonanomi, Dario, Daniel Müller, Arthur Brown, et al.. (2008). Segregation of Axial Motor and Sensory Pathways via Heterotypic Trans-Axonal Signaling. Science. 320(5873). 233–236. 77 indexed citations

Ghosh, Sourav, Till Marquardt, Joshua P. Thaler, et al.. (2007). Instructive role of aPKCζ subcellular localization in the assembly of adherens junctions in neural progenitors. Proceedings of the National Academy of Sciences. 105(1). 335–340. 35 indexed citations

Marquardt, Till, Ryuichi Shirasaki, Sourav Ghosh, et al.. (2005). Coexpressed EphA Receptors and Ephrin-A Ligands Mediate Opposing Actions on Growth Cone Navigation from Distinct Membrane Domains. Cell. 121(1). 127–139. 201 indexed citations

Thaler, Joshua P., Artur Kania, Karen Lettieri, et al.. (2004). A Postmitotic Role for Isl-Class LIM Homeodomain Proteins in the Assignment of Visceral Spinal Motor Neuron Identity. Neuron. 41(3). 337–350. 145 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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