Dianna A. Redburn

2.7k total citations
71 papers, 2.4k citations indexed

About

Dianna A. Redburn is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Dianna A. Redburn has authored 71 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 60 papers in Cellular and Molecular Neuroscience and 4 papers in Endocrine and Autonomic Systems. Recurrent topics in Dianna A. Redburn's work include Neuroscience and Neuropharmacology Research (54 papers), Retinal Development and Disorders (47 papers) and Photoreceptor and optogenetics research (42 papers). Dianna A. Redburn is often cited by papers focused on Neuroscience and Neuropharmacology Research (54 papers), Retinal Development and Disorders (47 papers) and Photoreceptor and optogenetics research (42 papers). Dianna A. Redburn collaborates with scholars based in United States, Mexico and Germany. Dianna A. Redburn's co-authors include Stephen C. Massey, Cheryl K. Mitchell, Paul Madtes, Thomas N. Thomas, Carl W. Cotman, Elizabeth K. Messersmith, Michael Haberecht, Yvonne C. Clement‐Cormier, David L. Shelton and Cheryl L. Rowe-Rendleman and has published in prestigious journals such as Science, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Dianna A. Redburn

71 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dianna A. Redburn United States 31 1.9k 1.9k 209 162 161 71 2.4k
Malcolm M. Slaughter United States 30 2.8k 1.5× 3.0k 1.6× 73 0.3× 131 0.8× 249 1.5× 68 3.5k
Peter D. Lukasiewicz United States 35 2.3k 1.2× 2.3k 1.2× 76 0.4× 94 0.6× 152 0.9× 59 2.7k
Carmelo Romano United States 22 1.9k 1.0× 1.7k 0.9× 356 1.7× 58 0.4× 68 0.4× 43 2.8k
Sukumar Vijayaraghavan United States 23 1.1k 0.6× 1.7k 0.9× 114 0.5× 119 0.7× 34 0.2× 36 2.3k
Bruce D. Cherksey United States 18 1.6k 0.9× 1.8k 1.0× 180 0.9× 163 1.0× 13 0.1× 37 2.3k
Misty J. Eaton Puerto Rico 26 1.0k 0.5× 1.2k 0.6× 195 0.9× 49 0.3× 30 0.2× 72 1.9k
H. Henke Switzerland 22 1.7k 0.9× 1.1k 0.6× 426 2.0× 46 0.3× 18 0.1× 34 2.2k
Jane Sullivan United States 21 1.8k 1.0× 1.3k 0.7× 346 1.7× 401 2.5× 29 0.2× 42 2.6k
E Costa United States 29 1.7k 0.9× 1.6k 0.9× 432 2.1× 99 0.6× 11 0.1× 56 2.6k
Nobuki Nakanishi United States 25 2.2k 1.2× 1.9k 1.0× 246 1.2× 110 0.7× 33 0.2× 34 3.1k

Countries citing papers authored by Dianna A. Redburn

Since Specialization
Citations

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

Fields of papers citing papers by Dianna A. Redburn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dianna A. Redburn. 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 Dianna A. Redburn. The network helps show where Dianna A. Redburn may publish in the future.

Co-authorship network of co-authors of Dianna A. Redburn

This figure shows the co-authorship network connecting the top 25 collaborators of Dianna A. Redburn. A scholar is included among the top collaborators of Dianna A. Redburn 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 Dianna A. Redburn. Dianna A. Redburn 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.
Huang, Bo & Dianna A. Redburn. (1996). GABA-induced increases in [Ca2+]i in retinal neurons of postnatal rabbits. Visual Neuroscience. 13(3). 441–447. 37 indexed citations
2.
Mitchell, Cheryl K. & Dianna A. Redburn. (1996). GABA and GABA-A receptors are maximally expressed in association with cone synaptogenesis in neonatal rabbit retina. Developmental Brain Research. 95(1). 63–71. 34 indexed citations
3.
Haberecht, Michael & Dianna A. Redburn. (1996). High levels of extracellular glutamate are present in retina during neonatal development. Neurochemical Research. 21(2). 285–291. 28 indexed citations
4.
Mitchell, Cheryl K., et al.. (1995). Calbindin immunoreactivity of horizontal cells in the developing rabbit retina. Experimental Eye Research. 61(6). 691–698. 22 indexed citations
5.
Redburn, Dianna A.. (1992). Chapter 7 Development of GABAergic neurons in the mammalian retina. Progress in brain research. 90. 133–147. 38 indexed citations
6.
Friedman, David L. & Dianna A. Redburn. (1990). Evidence for Functionally Distinct Subclasses of γ‐Aminobutyric Acid Receptors in Rabbit Retina. Journal of Neurochemistry. 55(4). 1189–1199. 30 indexed citations
7.
Messersmith, Elizabeth K. & Dianna A. Redburn. (1990). Kainic acid lesioning alters development of the outer plexiform layer in neonatal rabbit retina. International Journal of Developmental Neuroscience. 8(4). 447–461. 36 indexed citations
8.
Redburn, Dianna A. & Cheryl K. Mitchell. (1989). Darkness stimulates rapid synthesis and release of melatonin in rat retina. Visual Neuroscience. 3(5). 391–403. 36 indexed citations
9.
Redburn, Dianna A., et al.. (1987). Synaptosomal neurotransmitter uptake systems in the retina and brain nuclei of light- and dark-adapted rabbits. Brain Research. 424(1). 115–118. 1 indexed citations
10.
Massey, Stephen C. & Dianna A. Redburn. (1987). Transmitter circuits in the vertebrate retina. Progress in Neurobiology. 28(1). 55–96. 281 indexed citations
11.
Mitchell, Cheryl K. & Dianna A. Redburn. (1985). Analysis of pre- and postsynaptic factors of the serotonin system in rabbit retina.. The Journal of Cell Biology. 100(1). 64–73. 47 indexed citations
12.
Redburn, Dianna A.. (1984). Serotonin systems in the inner and outer plexiform layers of the vertebrate retina.. PubMed. 43(12). 2699–703. 24 indexed citations
13.
Madtes, Paul & Dianna A. Redburn. (1983). Intraocular injections of nipecotic acid produce a preferential block of neuronal 3H-GABA accumulation in adult rabbit retina.. PubMed. 24(7). 886–92. 4 indexed citations
14.
Madtes, Paul & Dianna A. Redburn. (1983). GABA as a trophic factor during development. Life Sciences. 33(10). 979–984. 82 indexed citations
15.
Madtes, Paul & Dianna A. Redburn. (1983). Synaptic interactions in the GABA system during postnatal development in retina. Brain Research Bulletin. 10(6). 741–745. 33 indexed citations
16.
Redburn, Dianna A., et al.. (1980). GABA and dopamine receptor binding in retinal synaptosomal fractions. Neurochemistry International. 1. 167–181. 16 indexed citations
17.
Redburn, Dianna A., et al.. (1979). Effect of morphine in vivo on uptake of [3H]choline and release of [3H]acetylcholine from rat striatal synaptosomes. Biochemical Pharmacology. 28(19). 2961–2966. 1 indexed citations
18.
Thomas, Thomas N. & Dianna A. Redburn. (1979). 5-Hydroxytryptamine—A neurotransmitter of bovine retina. Experimental Eye Research. 28(1). 55–61. 49 indexed citations
19.
Redburn, Dianna A., et al.. (1979). Inhibition by reserpine of calcium-dependent release of [3H]norepinephrine from synaptosomes depolarized with potassium or veratridine. Biochemical Pharmacology. 28(13). 2091–2094. 1 indexed citations
20.
Redburn, Dianna A.. (1978). RELATIONSHIP BETWEEN SYNAPTOSOMAL UPTAKE AND RELEASE OF [14C]GABA, [14C]DIAMINOBUTYRIC ACID AND [14C]β‐ALANINE1. Journal of Neurochemistry. 31(4). 939–945. 11 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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