Scott A. Burchett

12 total papers · 825 total citations
11 papers, 708 citations indexed

About

Scott A. Burchett is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Scott A. Burchett has authored 11 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Cell Biology. Recurrent topics in Scott A. Burchett's work include Receptor Mechanisms and Signaling (7 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Scott A. Burchett is often cited by papers focused on Receptor Mechanisms and Signaling (7 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Scott A. Burchett collaborates with scholars based in United States and Canada. Scott A. Burchett's co-authors include T.P. Hicks, Michael J. Bannon, James G. Granneman, Michael Volk, Henrik Dohlman, Christopher E. Aston, Peter Uetz, Stanley Fields, Kathleen H. Young and Carl J. Schmidt and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Journal of Neurochemistry.

In The Last Decade

Scott A. Burchett

11 papers receiving 697 citations

Author Peers

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

Author Last Decade Papers Cites
Scott A. Burchett 559 303 95 41 32 11 708
Theresa M. Cabrera-Vera 545 1.0× 314 1.0× 84 0.9× 36 0.9× 45 1.4× 13 842
Mella Adlersberg 573 1.0× 267 0.9× 71 0.7× 48 1.2× 53 1.7× 23 811
Nancy A. Sachs 556 1.0× 279 0.9× 42 0.4× 31 0.8× 24 0.8× 16 901
Shana L. Skradski 449 0.8× 394 1.3× 57 0.6× 43 1.0× 47 1.5× 12 749
Monika Schäfer 282 0.5× 323 1.1× 116 1.2× 71 1.7× 85 2.7× 11 903
Sophie Gavarini 421 0.8× 569 1.9× 48 0.5× 42 1.0× 38 1.2× 14 851
Heather Prince 416 0.7× 546 1.8× 33 0.3× 53 1.3× 66 2.1× 11 856
Herwig Just 535 1.0× 360 1.2× 78 0.8× 47 1.1× 23 0.7× 15 728
Georgiann Collinsworth 439 0.8× 283 0.9× 40 0.4× 41 1.0× 104 3.3× 9 715
Margaret I. Arbuckle 430 0.8× 388 1.3× 80 0.8× 19 0.5× 61 1.9× 13 751

Countries citing papers authored by Scott A. Burchett

Since Specialization
Citations

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

Fields of papers citing papers by Scott A. Burchett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott A. Burchett. 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 Scott A. Burchett. The network helps show where Scott A. Burchett may publish in the future.

Co-authorship network of co-authors of Scott A. Burchett

This figure shows the co-authorship network connecting the top 25 collaborators of Scott A. Burchett. A scholar is included among the top collaborators of Scott A. Burchett 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 Scott A. Burchett. Scott A. Burchett 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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