Alison J. Barker

35 total papers · 2.2k total citations
19 papers, 1.4k citations indexed

About

Alison J. Barker is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Alison J. Barker has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Alison J. Barker's work include Zebrafish Biomedical Research Applications (6 papers), Neural dynamics and brain function (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Alison J. Barker is often cited by papers focused on Zebrafish Biomedical Research Applications (6 papers), Neural dynamics and brain function (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Alison J. Barker collaborates with scholars based in United States, Germany and South Africa. Alison J. Barker's co-authors include Erik M. Ullian, Herwig Baier, Selina M. Koch, Christoph E. Schreiner, Kexin Yuan, Robert C. Froemke, Brian D. Harfe, Michael T. McManus, Trinna Cuellar and Alessandro Filosa and has published in prestigious journals such as Nature, Science and Neuron.

In The Last Decade

Alison J. Barker

18 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Alison J. Barker 583 469 451 327 189 19 1.4k
Juan F. Montiel 526 0.9× 345 0.7× 472 1.0× 138 0.4× 66 0.3× 35 1.5k
Santiago B. Rompani 777 1.3× 683 1.5× 400 0.9× 91 0.3× 179 0.9× 14 1.6k
Fernando García‐Moreno 760 1.3× 480 1.0× 225 0.5× 182 0.6× 108 0.6× 33 1.7k
Justus M. Kebschull 724 1.2× 474 1.0× 489 1.1× 79 0.2× 55 0.3× 23 1.6k
Nancy L. Hayes 546 0.9× 576 1.2× 262 0.6× 73 0.2× 222 1.2× 26 1.4k
Amanda F. P. Cheung 898 1.5× 553 1.2× 239 0.5× 188 0.6× 140 0.7× 11 1.5k
Euiseok J. Kim 637 1.1× 465 1.0× 328 0.7× 128 0.4× 81 0.4× 16 1.3k
Ryan Remedios 448 0.8× 467 1.0× 577 1.3× 45 0.1× 96 0.5× 15 1.5k
Sathyanarayanan V. Puthanveettil 855 1.5× 407 0.9× 183 0.4× 422 1.3× 161 0.9× 40 1.4k
Yoichi Oda 492 0.8× 715 1.5× 565 1.3× 77 0.2× 509 2.7× 59 1.8k

Countries citing papers authored by Alison J. Barker

Since Specialization
Citations

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

Fields of papers citing papers by Alison J. Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alison J. Barker

This figure shows the co-authorship network connecting the top 25 collaborators of Alison J. Barker. A scholar is included among the top collaborators of Alison J. Barker 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 Alison J. Barker. Alison J. Barker 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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