J. D. Daniels

542 total citations
14 papers, 405 citations indexed

About

J. D. Daniels is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, J. D. Daniels has authored 14 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 2 papers in Molecular Biology. Recurrent topics in J. D. Daniels's work include Neuroscience and Neuropharmacology Research (8 papers), Neural dynamics and brain function (6 papers) and Visual perception and processing mechanisms (3 papers). J. D. Daniels is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Neural dynamics and brain function (6 papers) and Visual perception and processing mechanisms (3 papers). J. D. Daniels collaborates with scholars based in United States. J. D. Daniels's co-authors include John D. Pettigrew, Mark F. Bear, Sacha B. Nelson, John R. Parziale, Michael A. Paradiso, Kenneth M. Carnes and Alan Saul and has published in prestigious journals such as Nature, Science and Journal of Neuroscience.

In The Last Decade

J. D. Daniels

14 papers receiving 366 citations

Peers

J. D. Daniels
L. Galli Spain
J. W. McClurkin United States
William J. Vaughn United States
M. H. Clare United States
George K. Shortess United States
Martin Pekel Germany
Jack H. Belgum United States
L. Galli Spain
J. D. Daniels
Citations per year, relative to J. D. Daniels J. D. Daniels (= 1×) peers L. Galli

Countries citing papers authored by J. D. Daniels

Since Specialization
Citations

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

Fields of papers citing papers by J. D. Daniels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. D. Daniels

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

All Works

14 of 14 papers shown
1.
Parziale, John R. & J. D. Daniels. (1989). The Mechanical Performance of Ambulation Using Spring-loaded Axillary Crutches. American Journal of Physical Medicine & Rehabilitation. 68(4). 192–195. 13 indexed citations
2.
Parziale, John R. & J. D. Daniels. (1989). THE MECHANICAL PERFORMANCE OF AMBULATION USING SPRING LOADED AXILLARY CRUTCHES. American Journal of Physical Medicine & Rehabilitation. 68(4). 205–205. 4 indexed citations
3.
Saul, Alan & J. D. Daniels. (1986). Modeling and simulation II: specificity models for visual cortex development. Defense Technical Information Center (DTIC). 13(3). 211–231. 3 indexed citations
4.
Nelson, Sacha B., et al.. (1985). Clonidine and cortical plasticity: Possible evidence for noradrenergic involvement. Developmental Brain Research. 23(1). 39–50. 12 indexed citations
5.
Daniels, J. D., et al.. (1984). Effects of luminance and flicker on ocular dominance shift in kitten visual cortex. Experimental Brain Research. 54(1). 186–90. 3 indexed citations
6.
Bear, Mark F. & J. D. Daniels. (1983). The plastic response to monocular deprivation persists in kitten visual cortex after chronic depletion of norepinephrine. Journal of Neuroscience. 3(2). 407–416. 64 indexed citations
7.
Bear, Mark F., et al.. (1983). Two methods of catecholamine depletion in kitten visual cortex yield different effects on plasticity. Nature. 302(5905). 245–247. 50 indexed citations
8.
Daniels, J. D., et al.. (1980). Progressive image transmission using a growth-geometry coding. Proceedings of the IEEE. 68(7). 897–909. 17 indexed citations
9.
Daniels, J. D.. (1978). M-cells: A logic circuit model to account for some features of CNS inhibition. Biological Cybernetics. 29(1). 1–9. 6 indexed citations
10.
Daniels, J. D., et al.. (1978). Development of single-neuron responses in kitten's lateral geniculate nucleus. Journal of Neurophysiology. 41(6). 1373–1393. 96 indexed citations
11.
Daniels, J. D., et al.. (1977). Biases for oriented moving bars in lateral geniculate nucleus neurons of normal and stripe-reared cats. Experimental Brain Research. 29(2). 155–72. 43 indexed citations
12.
Pettigrew, John D., et al.. (1977). Early Development of X-Cells in Kitten Lateral Geniculate Nucleus. Science. 198(4313). 202–204. 31 indexed citations
13.
Daniels, J. D. & John D. Pettigrew. (1975). A study of inhibitory antagonism in cat visual cortex. Brain Research. 93(1). 41–62. 30 indexed citations
14.
Pettigrew, John D. & J. D. Daniels. (1973). Gamma-Aminobutyric Acid Antagonism in Visual Cortex: Different Effects on Simple, Complex, and Hypercomplex Neurons. Science. 182(4107). 81–83. 33 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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