Dianna A. Redburn
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 5%
- Physiology top 10%
- Cell Biology top 10%
- Ophthalmology top 5%
- Co-authors
- Stephen C. MasseyCheryl K. MitchellPaul MadtesThomas N. ThomasCarl W. CotmanElizabeth K. MessersmithMichael HaberechtYvonne C. Clement‐Cormier
- Topics
- Neuroscience and Neuropharmacology Research (54 papers)Retinal Development and Disorders (47 papers)Photoreceptor and optogenetics research (42 papers)
- Partner nations
- United StatesMexicoGermany
In The Last Decade
Dianna A. Redburn
71 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 93
- Cellular and Molecular Neuroscience 1.9k
- Molecular Biology 1.9k
- Physiology 209
- Cell Biology 162
- Ophthalmology 161
Countries citing papers authored by Dianna A. Redburn
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 34 | |
| 3 | 28 | |
| 4 | 22 | |
| 5 | 63 | |
| 6 | 38 | |
| 7 | 31 | |
| 8 | 30 | |
| 9 | 36 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 47 | |
| 14 | Permanent alterations in muscarinic receptors and pupil size produced by chronic atropinization in kittens. | 13 |
| 15 | 92 | |
| 16 | 82 | |
| 17 | 16 | |
| 18 | 13 | |
| 19 | 1 | |
| 20 | 11 |
About Dianna A. Redburn
Dianna A. Redburn is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Endocrine and Autonomic Systems, having authored 71 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (54 papers), Retinal Development and Disorders (47 papers) and Photoreceptor and optogenetics research (42 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Molecular Biology (1.9k citations) and Developmental Neuroscience (87 citations). Dianna A. Redburn has collaborated with scholars based in United States, Mexico and Germany. Frequent 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 M.L.J. Crawford. Their work appears in journals such as Science, The Journal of Cell Biology and The EMBO Journal.
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.