Nigel W. Daw

6.2k total citations
91 papers, 4.8k citations indexed

About

Nigel W. Daw is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Nigel W. Daw has authored 91 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Cellular and Molecular Neuroscience, 50 papers in Molecular Biology and 38 papers in Cognitive Neuroscience. Recurrent topics in Nigel W. Daw's work include Neuroscience and Neuropharmacology Research (50 papers), Retinal Development and Disorders (41 papers) and Visual perception and processing mechanisms (22 papers). Nigel W. Daw is often cited by papers focused on Neuroscience and Neuropharmacology Research (50 papers), Retinal Development and Disorders (41 papers) and Visual perception and processing mechanisms (22 papers). Nigel W. Daw collaborates with scholars based in United States, Japan and Switzerland. Nigel W. Daw's co-authors include Kevin Fox, Hiromichi Sato, John H. Caldwell, Quentin S. Fischer, Yupeng Yang, Harry J. Wyatt, A. L. Pearlman, Damian Czepita, Stephen M. Strittmatter and Aaron W. McGee and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Nigel W. Daw

91 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nigel W. Daw United States 36 3.3k 2.4k 2.4k 329 287 91 4.8k
Leo M. Chalupa United States 42 3.2k 1.0× 2.6k 1.1× 3.0k 1.3× 726 2.2× 288 1.0× 129 6.0k
B. Dreher Australia 44 2.9k 0.9× 3.8k 1.6× 2.7k 1.2× 935 2.8× 244 0.9× 118 6.0k
M. Cynader Canada 44 2.4k 0.7× 3.7k 1.5× 1.6k 0.7× 504 1.5× 100 0.3× 94 5.2k
Takuji Kasamatsu United States 28 1.9k 0.6× 2.0k 0.8× 1.0k 0.4× 288 0.9× 119 0.4× 68 3.4k
Andreas Burkhalter United States 43 3.2k 1.0× 4.1k 1.7× 1.4k 0.6× 204 0.6× 207 0.7× 76 5.8k
Julie H. Sandell United States 29 1.6k 0.5× 1.5k 0.6× 1.4k 0.6× 280 0.9× 304 1.1× 49 3.8k
L.J. Garey United Kingdom 41 3.0k 0.9× 3.2k 1.4× 1.9k 0.8× 392 1.2× 487 1.7× 132 6.3k
David Fitzpatrick United States 43 3.5k 1.1× 4.9k 2.0× 1.6k 0.7× 203 0.6× 134 0.5× 140 6.4k
L. Maffei Italy 47 3.3k 1.0× 3.8k 1.6× 2.5k 1.1× 1.0k 3.1× 721 2.5× 142 6.9k
Ulf T. Eysel Germany 54 4.7k 1.4× 5.4k 2.3× 2.3k 1.0× 478 1.5× 386 1.3× 226 8.6k

Countries citing papers authored by Nigel W. Daw

Since Specialization
Citations

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

Fields of papers citing papers by Nigel W. Daw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nigel W. Daw

This figure shows the co-authorship network connecting the top 25 collaborators of Nigel W. Daw. A scholar is included among the top collaborators of Nigel W. Daw 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 Nigel W. Daw. Nigel W. Daw 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.
Daw, Nigel W.. (2009). The foundations of development and deprivation in the visual system. The Journal of Physiology. 587(12). 2769–2773. 18 indexed citations
2.
Daw, Nigel W., et al.. (2007). Factors that are Critical for Plasticity in the Visual Cortex. Novartis Foundation symposium. 193. 258–276. 8 indexed citations
3.
Daw, Nigel W., Yan Rao, Xuefeng Wang, Quentin S. Fischer, & Yupeng Yang. (2004). LTP and LTD vary with layer in rodent visual cortex. Vision Research. 44(28). 3377–3380. 38 indexed citations
4.
Fischer, Quentin S., Christopher J. Beaver, Yupeng Yang, et al.. (2004). Requirement for the RIIβ Isoform of PKA, But Not Calcium-Stimulated Adenylyl Cyclase, in Visual Cortical Plasticity. Journal of Neuroscience. 24(41). 9049–9058. 49 indexed citations
5.
Daw, Nigel W., et al.. (2003). Long term potentiation varies with layer in rat visual cortex. Brain Research. 989(1). 26–34. 37 indexed citations
6.
Wei, Ji-Ye, Xiao‐Tao Jin, Ethan D. Cohen, Nigel W. Daw, & Colin J. Barnstable. (2002). cGMP-induced presynaptic depression and postsynaptic facilitation at glutamatergic synapses in visual cortex. Brain Research. 927(1). 42–54. 20 indexed citations
7.
Beaver, Christopher J., et al.. (2002). Activation of Group III mGluRs increases the activity of neurons in area 17 of the cat. Visual Neuroscience. 19(3). 355–364. 1 indexed citations
8.
Beaver, Christopher J., Qinghua Ji, Quentin S. Fischer, & Nigel W. Daw. (2001). Cyclic AMP-dependent protein kinase mediates ocular dominance shifts in cat visual cortex. Nature Neuroscience. 4(2). 159–163. 72 indexed citations
9.
Daw, Nigel W. & Christopher J. Beaver. (2001). Developmental changes and ocular dominance plasticity in the visual cortex.. The Keio Journal of Medicine. 50(3). 192–197. 5 indexed citations
10.
Daw, Nigel W.. (1998). Critical Periods and Amblyopia. Archives of Ophthalmology. 116(4). 502–502. 197 indexed citations
11.
Reid, Silvia N.M., Carmelo Romano, Thomas E. Hughes, & Nigel W. Daw. (1997). Developmental and sensory-dependent changes of phosphoinositide-linked metabotropic glutamate receptors. The Journal of Comparative Neurology. 389(4). 577–583. 29 indexed citations
12.
Currie, Scott N., et al.. (1994). NMDA receptors in layers II and III of rat cerebral cortex. Brain Research. 662(1-2). 103–108. 17 indexed citations
13.
Daw, Nigel W., Paul S. G. Stein, & Kevin Fox. (1993). The Role of NMDA Receptors in Information Processing. Annual Review of Neuroscience. 16(1). 207–222. 234 indexed citations
14.
Fox, Kevin & Nigel W. Daw. (1993). Do NMDA receptors have a critical function in visual cortical plasticity?. Trends in Neurosciences. 16(3). 116–122. 105 indexed citations
15.
Gordon, Barbara, Nigel W. Daw, & David Parkinson. (1991). The effect of age on binding of MK-801 in the cat visual cortex. Developmental Brain Research. 62(1). 61–67. 34 indexed citations
16.
Daw, Nigel W., Hiromichi Sato, Kevin Fox, S. Thomas Carmichael, & Ronald L. Gingerich. (1991). Cortisol reduces plasticity in the kitten visual cortex. Journal of Neurobiology. 22(2). 158–168. 31 indexed citations
17.
Sato, Hiromichi, Nigel W. Daw, & Kevin Fox. (1991). An intracellular recording study of stimulus-specific response properties in cat area 17. Brain Research. 544(1). 156–161. 13 indexed citations
18.
Daw, Nigel W., Ralph J. Jensen, & William J. Brunken. (1990). Rod pathways in mammalian retinae. Trends in Neurosciences. 13(3). 110–115. 168 indexed citations
19.
McIntosh, Helen, David Parkinson, Karina F. Meiri, Nigel W. Daw, & Mark Willard. (1989). A GAP-43-like protein in cat visual cortex. Visual Neuroscience. 2(6). 583–591. 16 indexed citations
20.
Brunken, William J. & Nigel W. Daw. (1988). Neuropharmacological analysis of the role of indoleamine-accumulating amacrine cells in the rabbit retina. Visual Neuroscience. 1(3). 275–285. 17 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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