Jamie D. Boyd

3.6k total citations
40 papers, 2.6k citations indexed

About

Jamie D. Boyd is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Jamie D. Boyd has authored 40 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 24 papers in Cellular and Molecular Neuroscience and 9 papers in Molecular Biology. Recurrent topics in Jamie D. Boyd's work include Neural dynamics and brain function (22 papers), Neuroscience and Neuropharmacology Research (15 papers) and Photoreceptor and optogenetics research (11 papers). Jamie D. Boyd is often cited by papers focused on Neural dynamics and brain function (22 papers), Neuroscience and Neuropharmacology Research (15 papers) and Photoreceptor and optogenetics research (11 papers). Jamie D. Boyd collaborates with scholars based in Canada, United States and Germany. Jamie D. Boyd's co-authors include Timothy H. Murphy, Kerry R. Delaney, Craig E. Brown, Thomas C. Harrison, Joanne A. Matsubara, Ping Li, Gergely Silasi, Shengxiang Zhang, Jeffrey LeDue and Majid H. Mohajerani and has published in prestigious journals such as Nature, Nature Communications and Neuron.

In The Last Decade

Jamie D. Boyd

40 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamie D. Boyd Canada 22 1.5k 1.2k 647 479 255 40 2.6k
Kimberle M. Jacobs United States 20 1.1k 0.7× 844 0.7× 403 0.6× 475 1.0× 211 0.8× 31 2.1k
Bryan M. Hooks United States 20 1.7k 1.1× 1.5k 1.3× 703 1.1× 379 0.8× 183 0.7× 28 2.8k
Eric L. Hargreaves United States 27 2.0k 1.3× 2.0k 1.7× 289 0.4× 402 0.8× 177 0.7× 54 3.0k
Tonghui Xu China 21 986 0.6× 763 0.6× 604 0.9× 361 0.8× 190 0.7× 41 2.5k
Fengyi Liang Singapore 25 923 0.6× 469 0.4× 603 0.9× 420 0.9× 298 1.2× 47 2.1k
Małgorzata Kossut Poland 29 1.9k 1.3× 1.5k 1.3× 786 1.2× 361 0.8× 136 0.5× 135 3.0k
Tara Keck United Kingdom 16 1.5k 0.9× 1.2k 1.0× 589 0.9× 347 0.7× 90 0.4× 20 2.5k
Kelly A. Tennant United States 12 892 0.6× 776 0.6× 236 0.4× 581 1.2× 163 0.6× 16 1.8k
Sergei A. Kirov United States 31 2.0k 1.3× 705 0.6× 994 1.5× 653 1.4× 326 1.3× 47 3.0k
Andrii Rudenko United States 16 1.1k 0.7× 960 0.8× 832 1.3× 591 1.2× 200 0.8× 21 2.7k

Countries citing papers authored by Jamie D. Boyd

Since Specialization
Citations

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

Fields of papers citing papers by Jamie D. Boyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie D. Boyd. 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 Jamie D. Boyd. The network helps show where Jamie D. Boyd may publish in the future.

Co-authorship network of co-authors of Jamie D. Boyd

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie D. Boyd. A scholar is included among the top collaborators of Jamie D. Boyd 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 Jamie D. Boyd. Jamie D. Boyd 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.
Mitelut, Catalin, Jamie D. Boyd, Nicholas V. Swindale, et al.. (2022). Mesoscale cortex-wide neural dynamics predict self-initiated actions in mice several seconds prior to movement. eLife. 11. 5 indexed citations
2.
Boyd, Jamie D., et al.. (2017). Automating mouse weighing in group homecages with Raspberry Pi micro-computers. Journal of Neuroscience Methods. 285. 1–5. 14 indexed citations
3.
Anenberg, Eitan, Pamela Arstikaitis, Y. Niitsu, et al.. (2014). Ministrokes in Channelrhodopsin-2 Transgenic Mice Reveal Widespread Deficits in Motor Output Despite Maintenance of Cortical Neuronal Excitability. Journal of Neuroscience. 34(4). 1094–1104. 21 indexed citations
4.
Nickerson, Philip E. B., Kara Ronellenfitch, Jamie D. Boyd, et al.. (2013). Live imaging and analysis of postnatal mouse retinal development. BMC Developmental Biology. 13(1). 24–24. 12 indexed citations
5.
Mohajerani, Majid H., Allen W. Chan, Jeffrey LeDue, et al.. (2013). Spontaneous cortical activity alternates between motifs defined by regional axonal projections. Nature Neuroscience. 16(10). 1426–1435. 274 indexed citations
6.
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8.
Milnerwood, Austen J., Clare M. Gladding, Mahmoud A. Pouladi, et al.. (2010). Early Increase in Extrasynaptic NMDA Receptor Signaling and Expression Contributes to Phenotype Onset in Huntington's Disease Mice. Neuron. 65(3). 436–436. 16 indexed citations
9.
Ayling, Oliver G. S., et al.. (2009). Automated light-based mapping of motor cortex by photoactivation of channelrhodopsin-2 transgenic mice. Nature Methods. 6(3). 219–224. 184 indexed citations
10.
Kara, Prakash & Jamie D. Boyd. (2009). A micro-architecture for binocular disparity and ocular dominance in visual cortex. Nature. 458(7238). 627–631. 86 indexed citations
11.
Awatramani, Gautam B., Jamie D. Boyd, Kerry R. Delaney, & Timothy H. Murphy. (2007). Effective release rates at single rat Schaffer collateral–CA1 synapses during sustained theta‐burst activity revealed by optical imaging. The Journal of Physiology. 582(2). 583–595. 5 indexed citations
12.
Zelles, Tibor, Jamie D. Boyd, Alexandre B. Hardy, & Kerry R. Delaney. (2006). Branch-Specific Ca2+Influx from Na+-Dependent Dendritic Spikes in Olfactory Granule Cells. Journal of Neuroscience. 26(1). 30–40. 45 indexed citations
13.
Zhang, Shengxiang, Jamie D. Boyd, Kerry R. Delaney, & Timothy H. Murphy. (2005). Rapid Reversible Changes in Dendritic Spine StructureIn VivoGated by the Degree of Ischemia. Journal of Neuroscience. 25(22). 5333–5338. 216 indexed citations
14.
Boyd, Jamie D. & Kerry R. Delaney. (2002). Tyrosine hydroxylase‐immunoreactive interneurons in the olfactory bulb of the frogs Rana pipiens and Xenopus laevis. The Journal of Comparative Neurology. 454(1). 42–57. 8 indexed citations
15.
Boyd, Jamie D., et al.. (2000). The Connections of Layer 4 Subdivisions in the Primary Visual Cortex (V1) of the Owl Monkey. Cerebral Cortex. 10(7). 644–662. 18 indexed citations
16.
Boyd, Jamie D. & Vivien A. Casagrande. (1999). Relationships between cytochrome oxidase (CO) blobs in primate primary visual cortex (V1) and the distribution of neurons projecting to the middle temporal area (MT). The Journal of Comparative Neurology. 409(4). 573–591. 33 indexed citations
17.
Casagrande, V.A. & Jamie D. Boyd. (1996). The neural architecture of binocular vision. Eye. 10(2). 153–160. 24 indexed citations
18.
Boyd, Jamie D. & Joanne A. Matsubara. (1994). Tangential organization of callosal connectivity in the cat's visual cortex. The Journal of Comparative Neurology. 347(2). 197–210. 27 indexed citations
19.
Matsubara, Joanne A. & Jamie D. Boyd. (1992). Presence of GABA-immunoreactive neurons within intracortical patches in area 18 of the cat. Brain Research. 583(1-2). 161–170. 15 indexed citations
20.
Boyd, Jamie D. & Joanne A. Matsubara. (1991). Intrinsic connections in cat visual cortex: a combined anterograde and retrograde tracing study. Brain Research. 560(1-2). 207–215. 20 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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