Debra A. Brickey

2.3k total citations · 1 hit paper
18 papers, 2.1k citations indexed

About

Debra A. Brickey is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Debra A. Brickey has authored 18 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Cell Biology. Recurrent topics in Debra A. Brickey's work include Protein Kinase Regulation and GTPase Signaling (4 papers), Ion channel regulation and function (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Debra A. Brickey is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (4 papers), Ion channel regulation and function (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Debra A. Brickey collaborates with scholars based in United States and France. Debra A. Brickey's co-authors include Thomas R. Soderling, Hideyuki Yamamoto, Bill H. Chang, Scott H. Soderling, Hervé Enslen, Peiqing Sun, Roger Colbran, Y L Fong, Lewis C. Cantley and John Blenis and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Debra A. Brickey

18 papers receiving 2.0k citations

Hit Papers

A Structural Basis for Substrate Specificities of Protein... 1996 2026 2006 2016 1996 100 200 300 400 500

Peers

Debra A. Brickey
Comparison fields: 5 of 92
  • Molecular Biology 1.6k
  • Cellular and Molecular Neuroscience 886
  • Cell Biology 317
  • Physiology 179
  • Oncology 158
Replace Katherine A. Albert with:
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Katherine A. Albert United States View profile →
Citations per field, relative to Debra A. Brickey
Debra A. Brickey · 1×
Citations per year, relative to Debra A. Brickey
Debra A. Brickey · 1×

Countries citing papers authored by Debra A. Brickey

Since Specialization
Citations

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

Fields of papers citing papers by Debra A. Brickey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debra A. Brickey

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 219
2 10
3
A Structural Basis for Substrate Specificities of Protein Ser/Thr Kinases: Primary Sequence Preference of Casein Kinases I and II, NIMA, Phosphorylase Kinase, Calmodulin-Dependent Kinase II, CDK5, and Erk1 breakdown →
500
4 81
5 28
6 336
7 48
8 58
9 134
10 370
11 86
12 76
13 9
14 74
15 10
16 8
17 7
18 11

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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2026