Chanel J. Taylor

12 total papers · 434 total citations
9 papers, 345 citations indexed

About

Chanel J. Taylor is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Molecular Biology. According to data from OpenAlex, Chanel J. Taylor has authored 9 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 4 papers in Developmental Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Chanel J. Taylor's work include Neuroscience and Neuropharmacology Research (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Axon Guidance and Neuronal Signaling (3 papers). Chanel J. Taylor is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Axon Guidance and Neuronal Signaling (3 papers). Chanel J. Taylor collaborates with scholars based in Australia, New Zealand and United Kingdom. Chanel J. Taylor's co-authors include Wickliffe C. Abraham, Perry F. Bartlett, David Ireland, David K. Bilkey, Warren P. Tate, Paul R. Turner, Dhanisha J. Jhaveri, Michael Hart, Helen Christian and Peter Donnelly and has published in prestigious journals such as Neuron, Cerebral Cortex and European Journal of Neuroscience.

In The Last Decade

Chanel J. Taylor

9 papers receiving 344 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chanel J. Taylor	204	152	133	79	58	9	345
Myriam Gastard	179 0.9×	148 1.0×	116 0.9×	66 0.8×	28 0.5×	11	340
Emma Schofield	173 0.8×	141 0.9×	193 1.5×	46 0.6×	33 0.6×	8	372
Laura Mahady	115 0.6×	138 0.9×	127 1.0×	56 0.7×	35 0.6×	11	339
T. Nabika	157 0.8×	121 0.8×	125 0.9×	81 1.0×	67 1.2×	12	382
Annalisa Manca	187 0.9×	69 0.5×	114 0.9×	40 0.5×	54 0.9×	14	333
Edden Slomowitz	197 1.0×	132 0.9×	111 0.8×	86 1.1×	13 0.2×	6	325
Soledad de Olmos	203 1.0×	93 0.6×	109 0.8×	82 1.0×	38 0.7×	19	368
John G. Reed	158 0.8×	160 1.1×	134 1.0×	38 0.5×	19 0.3×	5	334
Ryouta Maeda	130 0.6×	145 1.0×	139 1.0×	67 0.8×	22 0.4×	9	351
Maria Renner	220 1.1×	116 0.8×	124 0.9×	102 1.3×	13 0.2×	12	401

Countries citing papers authored by Chanel J. Taylor

Since Specialization

Citations

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

Fields of papers citing papers by Chanel J. Taylor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chanel J. Taylor

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

All Works

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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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