Graeme W. Davis

11.6k total citations
90 papers, 8.8k citations indexed

About

Graeme W. Davis is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Graeme W. Davis has authored 90 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Cellular and Molecular Neuroscience, 47 papers in Molecular Biology and 45 papers in Cell Biology. Recurrent topics in Graeme W. Davis's work include Neurobiology and Insect Physiology Research (39 papers), Neuroscience and Neuropharmacology Research (35 papers) and Cellular transport and secretion (34 papers). Graeme W. Davis is often cited by papers focused on Neurobiology and Insect Physiology Research (39 papers), Neuroscience and Neuropharmacology Research (35 papers) and Cellular transport and secretion (34 papers). Graeme W. Davis collaborates with scholars based in United States, Germany and United Kingdom. Graeme W. Davis's co-authors include Corey S. Goodman, Richard D. Fetter, Christoph Schuster, Sean T. Sweeney, Martin Müller, Kurt W. Marek, Jan Pielage, Benjamin A. Eaton, Jack Roos and Dion Dickman and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Graeme W. Davis

90 papers receiving 8.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Graeme W. Davis United States 50 6.2k 4.6k 3.3k 988 570 90 8.8k
Kendal Broadie United States 53 4.6k 0.7× 5.7k 1.2× 3.5k 1.0× 900 0.9× 591 1.0× 164 9.5k
Vivian Budnik United States 52 5.1k 0.8× 5.7k 1.2× 3.0k 0.9× 230 0.2× 593 1.0× 86 9.2k
Kang Shen United States 54 4.3k 0.7× 4.8k 1.0× 2.8k 0.8× 484 0.5× 831 1.5× 158 9.3k
J. Troy Littleton United States 46 4.2k 0.7× 4.9k 1.1× 3.9k 1.2× 255 0.3× 628 1.1× 120 7.4k
Frédérique Varoqueaux Germany 42 3.7k 0.6× 4.3k 0.9× 2.9k 0.9× 1.2k 1.2× 459 0.8× 62 7.1k
Junichi Nakai Japan 49 5.3k 0.8× 7.0k 1.5× 848 0.3× 1.3k 1.3× 585 1.0× 119 10.8k
Craig H. Bailey United States 38 5.2k 0.8× 2.8k 0.6× 996 0.3× 2.2k 2.2× 506 0.9× 60 7.3k
Shin‐ichi Higashijima Japan 51 2.7k 0.4× 4.4k 0.9× 4.0k 1.2× 1.0k 1.1× 186 0.3× 94 7.8k
Kelsey C. Martin United States 45 5.6k 0.9× 5.7k 1.2× 1.2k 0.4× 1.7k 1.7× 873 1.5× 79 10.3k
Herwig Baier United States 64 5.1k 0.8× 6.2k 1.3× 5.9k 1.8× 2.2k 2.2× 157 0.3× 129 11.8k

Countries citing papers authored by Graeme W. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Graeme W. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graeme W. Davis. 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 Graeme W. Davis. The network helps show where Graeme W. Davis may publish in the future.

Co-authorship network of co-authors of Graeme W. Davis

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

All Works

20 of 20 papers shown
1.
Fetter, Richard D., et al.. (2022). NMDAR-dependent presynaptic homeostasis in adult hippocampus: Synapse growth and cross-modal inhibitory plasticity. Neuron. 110(20). 3302–3317.e7. 20 indexed citations
2.
Johnson, Alyssa E., Richard D. Fetter, Armen J. Moughamian, et al.. (2021). SVIP is a molecular determinant of lysosomal dynamic stability, neurodegeneration and lifespan. Nature Communications. 12(1). 513–513. 31 indexed citations
3.
Genç, Özgür & Graeme W. Davis. (2019). Target-wide Induction and Synapse Type-Specific Robustness of Presynaptic Homeostasis. Current Biology. 29(22). 3863–3873.e2. 22 indexed citations
4.
Genç, Özgür, Dion Dickman, Wenpei Ma, et al.. (2017). MCTP is an ER-resident calcium sensor that stabilizes synaptic transmission and homeostatic plasticity. eLife. 6. 30 indexed citations
5.
Fetter, Richard D., et al.. (2017). Retrograde semaphorin–plexin signalling drives homeostatic synaptic plasticity. Nature. 550(7674). 109–113. 82 indexed citations
6.
Nishi, Rae, Edward Castañeda, Graeme W. Davis, et al.. (2016). The Global Challenge in Neuroscience Education and Training: The MBL Perspective. Neuron. 92(3). 632–636. 7 indexed citations
7.
Harris, Nathan, et al.. (2015). The Innate Immune Receptor PGRP-LC Controls Presynaptic Homeostatic Plasticity. Neuron. 88(6). 1157–1164. 41 indexed citations
8.
Davis, Graeme W.. (2013). Homeostatic Signaling and the Stabilization of Neural Function. Neuron. 80(3). 718–728. 198 indexed citations
9.
Younger, Meg A., Martin Müller, Amy H.Y. Tong, Edward C.G. Pym, & Graeme W. Davis. (2013). A Presynaptic ENaC Channel Drives Homeostatic Plasticity. Neuron. 79(6). 1183–1196. 79 indexed citations
10.
Dickman, Dion & Graeme W. Davis. (2009). The Schizophrenia Susceptibility Gene dysbindin Controls Synaptic Homeostasis. Science. 326(5956). 1127–1130. 171 indexed citations
11.
Fetter, Richard D., et al.. (2009). Negative Regulation of Active Zone Assembly by a Newly Identified SR Protein Kinase. PLoS Biology. 7(9). e1000193–e1000193. 40 indexed citations
12.
Goold, Carleton P. & Graeme W. Davis. (2007). The BMP Ligand Gbb Gates the Expression of Synaptic Homeostasis Independent of Synaptic Growth Control. Neuron. 56(1). 109–123. 106 indexed citations
13.
Eaton, Benjamin A. & Graeme W. Davis. (2005). LIM Kinase1 Controls Synaptic Stability Downstream of the Type II BMP Receptor. Neuron. 47(5). 695–708. 139 indexed citations
14.
Pielage, Jan, Richard D. Fetter, & Graeme W. Davis. (2005). Presynaptic Spectrin Is Essential for Synapse Stabilization. Current Biology. 15(10). 918–928. 129 indexed citations
15.
Marie, Bruno, Sean T. Sweeney, Kira E. Poskanzer, et al.. (2004). Dap160/Intersectin Scaffolds the Periactive Zone to Achieve High-Fidelity Endocytosis and Normal Synaptic Growth. Neuron. 43(2). 207–219. 178 indexed citations
16.
Poskanzer, Kira E., Kurt W. Marek, Sean T. Sweeney, & Graeme W. Davis. (2003). Synaptotagmin I is necessary for compensatory synaptic vesicle endocytosis in vivo. Nature. 426(6966). 559–563. 209 indexed citations
17.
Davis, Graeme W.. (2000). The Making of a Synapse. Neuron. 26(3). 551–554. 21 indexed citations
18.
Hummel, Thomas, et al.. (2000). Drosophila Futsch/22C10 Is a MAP1B-like Protein Required for Dendritic and Axonal Development. Neuron. 26(2). 357–370. 382 indexed citations
19.
Davis, Graeme W., Christoph Schuster, & Corey S. Goodman. (1997). Genetic Analysis of the Mechanisms Controlling Target Selection: Target-Derived Fasciclin II Regulates the Pattern of Synapse Formation. Neuron. 19(3). 561–573. 143 indexed citations
20.
Davis, Graeme W., Christoph Schuster, & Corey S. Goodman. (1996). Genetic Dissection of Structural and Functional Components of Synaptic Plasticity. III. CREB Is Necessary for Presynaptic Functional Plasticity. Neuron. 17(4). 669–679. 211 indexed citations

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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