R. Clay Reid

21.9k total citations · 3 hit papers
92 papers, 11.8k citations indexed

About

R. Clay Reid is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, R. Clay Reid has authored 92 papers receiving a total of 11.8k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Cognitive Neuroscience, 48 papers in Cellular and Molecular Neuroscience and 24 papers in Molecular Biology. Recurrent topics in R. Clay Reid's work include Neural dynamics and brain function (61 papers), Visual perception and processing mechanisms (44 papers) and Neuroscience and Neuropharmacology Research (24 papers). R. Clay Reid is often cited by papers focused on Neural dynamics and brain function (61 papers), Visual perception and processing mechanisms (44 papers) and Neuroscience and Neuropharmacology Research (24 papers). R. Clay Reid collaborates with scholars based in United States, Germany and Saudi Arabia. R. Clay Reid's co-authors include José‐Manuel Alonso, W. Martin Usrey, Robert Shapley, Prakash Kara, Pamela Reinagel, Mark L. Andermann, Vincent Bonin, Kenichi Ohki, Aaron Kerlin and Sooyoung Chung and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

R. Clay Reid

89 papers receiving 11.5k citations

Hit Papers

Functional imaging with c... 1995 2026 2005 2015 2005 2011 1995 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Clay Reid United States 55 9.5k 6.9k 2.4k 976 964 92 11.8k
Matteo Carandini United Kingdom 64 14.0k 1.5× 8.2k 1.2× 1.9k 0.8× 554 0.6× 1.1k 1.1× 126 15.9k
J. Anthony Movshon United States 67 19.7k 2.1× 6.7k 1.0× 2.9k 1.2× 639 0.7× 639 0.7× 189 21.2k
Robert Shapley United States 75 15.0k 1.6× 6.2k 0.9× 4.1k 1.7× 676 0.7× 648 0.7× 194 17.0k
Charles D. Gilbert United States 60 14.3k 1.5× 6.5k 0.9× 2.4k 1.0× 558 0.6× 603 0.6× 97 16.9k
David Ferster United States 42 7.7k 0.8× 5.2k 0.8× 1.1k 0.4× 308 0.3× 723 0.8× 60 8.5k
Simon B. Laughlin United Kingdom 50 5.8k 0.6× 6.8k 1.0× 2.8k 1.2× 220 0.2× 1.1k 1.2× 98 12.7k
Edward M. Callaway United States 71 10.1k 1.1× 10.3k 1.5× 4.5k 1.9× 885 0.9× 566 0.6× 155 17.3k
John H. R. Maunsell United States 70 21.6k 2.3× 5.6k 0.8× 2.7k 1.1× 244 0.3× 589 0.6× 126 23.2k
Markus Meister United States 58 7.3k 0.8× 8.9k 1.3× 5.9k 2.5× 366 0.4× 1.2k 1.3× 93 15.2k
Jeffrey C. Magee United States 56 8.6k 0.9× 10.9k 1.6× 3.7k 1.5× 359 0.4× 1.6k 1.7× 85 13.6k

Countries citing papers authored by R. Clay Reid

Since Specialization
Citations

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

Fields of papers citing papers by R. Clay Reid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Clay Reid. 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 R. Clay Reid. The network helps show where R. Clay Reid may publish in the future.

Co-authorship network of co-authors of R. Clay Reid

This figure shows the co-authorship network connecting the top 25 collaborators of R. Clay Reid. A scholar is included among the top collaborators of R. Clay Reid 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 R. Clay Reid. R. Clay Reid 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.
Reid, R. Clay, et al.. (2025). Using Flowline Digital Twin to Plan for Inspections and Remediation. Offshore Technology Conference. 1 indexed citations
2.
Takasaki, Kevin, Adam K. Glaser, Steven Cook, et al.. (2025). Light-Sheet Microscopy Pipelines for Mammalian Brain Connectivity Mapping Across Spatial Scales. Microscopy and Microanalysis. 31(Supplement_1).
3.
Zhuang, Jun, Yun Wang, Rylan S. Larsen, et al.. (2021). Laminar distribution and arbor density of two functional classes of thalamic inputs to primary visual cortex. Cell Reports. 37(2). 109826–109826. 4 indexed citations
4.
Bumbarger, Daniel J., et al.. (2018). Transport and trapping of nanosheets via hydrodynamic forces and curvature-induced capillary quadrupolar interactions. Journal of Colloid and Interface Science. 531. 352–359. 3 indexed citations
5.
Kumar, Aditi, Derrick Brittain, Sam Kinn, et al.. (2018). Large-scale neuroanatomy using LASSO: Loop-based Automated Serial Sectioning Operation. PLoS ONE. 13(10). e0206172–e0206172. 7 indexed citations
6.
Lee, Wei-Chung Allen, Vincent Bonin, Michael F. Reed, et al.. (2016). Anatomy and function of an excitatory network in the visual cortex. Nature. 532(7599). 370–374. 316 indexed citations
7.
Ohki, Kenichi & R. Clay Reid. (2014). In Vivo Two-Photon Calcium Imaging in the Visual System. Cold Spring Harbor Protocols. 2014(4). pdb.prot081455–pdb.prot081455. 9 indexed citations
8.
Glickfeld, Lindsey L., R. Clay Reid, & Mark L. Andermann. (2013). A mouse model of higher visual cortical function. Current Opinion in Neurobiology. 24(1). 28–33. 51 indexed citations
9.
Reid, R. Clay. (2012). From Functional Architecture to Functional Connectomics. Neuron. 75(2). 209–217. 57 indexed citations
10.
Koch, Christof & R. Clay Reid. (2012). Observatories of the mind. Nature. 483(7390). 397–398. 64 indexed citations
11.
Andermann, Mark L., Aaron Kerlin, Demetris K. Roumis, Lindsey L. Glickfeld, & R. Clay Reid. (2011). Functional Specialization of Mouse Higher Visual Cortical Areas. Neuron. 72(6). 1025–1039. 289 indexed citations
12.
Histed, Mark H., Vincent Bonin, & R. Clay Reid. (2009). Direct Activation of Sparse, Distributed Populations of Cortical Neurons by Electrical Microstimulation. Neuron. 63(4). 508–522. 417 indexed citations
13.
Dauguet, Julien, Davi D. Bock, R. Clay Reid, & Simon K. Warfield. (2007). Alignment of Large Image Series Using Cubic B-Splines Tessellation: Application to Transmission Electron Microscopy Data. Lecture notes in computer science. 10(Pt 2). 710–717. 6 indexed citations
14.
Zhang, Ying & R. Clay Reid. (2005). Single-neuron responses and neuronal decisions in a vernier task. Proceedings of the National Academy of Sciences. 102(9). 3507–3512. 5 indexed citations
15.
McAdams, Carrie J. & R. Clay Reid. (2005). Attention Modulates the Responses of Simple Cells in Monkey Primary Visual Cortex. Journal of Neuroscience. 25(47). 11023–11033. 138 indexed citations
16.
Reppas, John B., W. Martin Usrey, & R. Clay Reid. (2002). Saccadic Eye Movements Modulate Visual Responses in the Lateral Geniculate Nucleus. Neuron. 35(5). 961–974. 166 indexed citations
17.
Dan, Yang, et al.. (1998). Coding of visual information by precisely correlated spikes in the lateral geniculate nucleus. 1(6). 501–507. 1 indexed citations
18.
Reid, R. Clay, Jonathan D. Victor, & Robert Shapley. (1997). The use of m-sequences in the analysis of visual neurons: Linear receptive field properties. Visual Neuroscience. 14(6). 1015–1027. 198 indexed citations
19.
Reid, R. Clay. (1988). Brightness induction by local contrast and the spatial dependence of assimilation. Vision Research. 28(1). 115–132. 61 indexed citations
20.
Reid, R. Clay, R. E. Soodak, & Robert Shapley. (1987). Linear mechanisms of directional selectivity in simple cells of cat striate cortex.. Proceedings of the National Academy of Sciences. 84(23). 8740–8744. 120 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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