Marcie Colledge

2.4k citations
15 papers · 2.0k indexed · 1 hit paper · h-index 12

Impact in

Papers in

Marcie Colledge

14 papers receiving 1.9k citations

Hit Papers

AKAPs: from structure to function 1999 · 517 citations
5171999202620082017100200300400500

Peers

Marcie Colledge
Comparison fields: 5 of 77
  • Cellular and Molecular Neuroscience 985
  • Cell Biology 376
  • Molecular Biology 1.5k
  • Aging 27
  • Neurology 114
Replace Debra A. Brickey with:
Debra A. Brickey United States
Louvenia Carter‐Dawson United States
Atsushi Nishimune Japan
Michel J. Roux France
Miguel Morales Spain
Lunbin Deng United States
Ute Kistner Germany
Neal Sweeney United States
Ashok N. Hegde United States
Rose E. Goodchild Belgium
Marcie Colledge relative to Debra A. Brickey United States Debra A. Brickey's profile →
Citations per field
00.5×3.4×
Debra A. Brickey · 1×
Citations per year

Countries citing papers authored by Marcie Colledge

Since Specialization
Citations

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

Fields of papers citing papers by Marcie Colledge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcie Colledge. 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 Marcie Colledge. The network helps show where Marcie Colledge may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Marcie Colledge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marcie Colledge Line = papers co-authored together Marcie Colledge links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201513
2 2005103
3 2003452
4 200384
5 2002187
6
GABA(A) receptor function is modulated via multiple interactions with both protein kinases and kinase anchoring proteins
20010
7 2000394
8 199927
9
AKAPs: from structure to function
Hit paper breakdown →
1999517
10 19995
11 19984
12 199865
13 199838
14 199738
15 199344

About Marcie Colledge

Marcie Colledge is a scholar working on Cellular and Molecular Neuroscience, Toxicology, Molecular Biology, Cell Biology and Philosophy, having authored 15 papers that have together received 2.0k indexed citations. Recurring topics across this work include Ion channel regulation and function (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Receptor Mechanisms and Signaling (4 papers), Retinal Development and Disorders (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Toxin Mechanisms and Immunotoxins (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (985 citations), Cell Biology (376 citations), Molecular Biology (1.5k citations), Aging (27 citations) and Neurology (114 citations). Marcie Colledge has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include John D. Scott, Lorene K. Langeberg, Richard L. Huganir, Stanley C. Froehner, Mark F. Bear, Robert A. Crozier, Gregory K. Scott, Ralph A. Dean, Hua Lu and Eric M. Snyder. Their work appears in journals such as Journal of Neuroscience, Journal of Biological Chemistry, Neuron, The Journal of Cell Biology and Biochemical Society Transactions.

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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