D. Bray
- Cell Biology top 0.5%
- Cellular Mechanics and Interactions 13
- Microtubule and mitosis dynamics 6
- Developmental Neuroscience top 1%
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- Photoreceptor and optogenetics research 3
- Neurobiology and Insect Physiology Research 3
- Aging top 5%
- Biophysics top 1%
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- Lipid Membrane Structure and Behavior 5
- Protein Structure and Dynamics 4
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- Blood properties and coagulation 4
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- Erythrocyte Function and Pathophysiology 3
- Co-authors
- JG WhiteKevin ChapmanThomas DukeJames R. BamburgGerry ShawPhilip J. RobbinsThomas CroguennecPeter J. Hollenbeck
- Journals
- Nature (3 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Neurochemistry (3 papers)
- Partner nations
- United KingdomUnited StatesSlovakia
In The Last Decade
D. Bray
44 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 135
- Cell Biology 2.1k
- Developmental Neuroscience 394
- Cellular and Molecular Neuroscience 1.6k
- Aging 78
- Biophysics 213
Countries citing papers authored by D. Bray
This map shows the geographic impact of D. Bray'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 D. Bray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Bray more than expected).
Fields of papers citing papers by D. Bray
This network shows the impact of papers produced by D. Bray. 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 D. Bray. The network helps show where D. Bray may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. Bray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Is the brain a good model for machine intelligence? | 2012 | 2 |
| 2 | 2005 | 4 | |
| 3 | Conformational spread in ring of proteins: A generic mechanism of allosteric switching | 2001 | 1 |
| 4 | 2001 | 175 | |
| 5 | 1997 | 22 | |
| 6 | 1996 | 7 | |
| 7 | 1995 | 55 | |
| 8 | 1993 | 149 | |
| 9 | 1990 | 105 | |
| 10 | 1990 | 75 | |
| 11 | 1989 | 5 | |
| 12 | 1988 | 474 | |
| 13 | 1988 | 118 | |
| 14 | 1987 | 31 | |
| 15 | 1983 | 14 | |
| 16 | TETANUS TOXIN - CELL-SURFACE MARKER FOR NEURONS IN CULTURE | 1978 | 17 |
| 17 | 1978 | 35 | |
| 18 | 1975 | 71 | |
| 19 | 1975 | 100 | |
| 20 | 1970 | 333 |
About D. Bray
D. Bray is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Immunology and Allergy, having authored 44 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (13 papers), Microtubule and mitosis dynamics (6 papers), Lipid Membrane Structure and Behavior (5 papers), Blood properties and coagulation (4 papers), Protein Structure and Dynamics (4 papers), Photoreceptor and optogenetics research (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Cell Biology (2.1k citations), Developmental Neuroscience (394 citations) and Cellular and Molecular Neuroscience (1.6k citations). D. Bray has collaborated with scholars based in United Kingdom, United States and Slovakia. Frequent co-authors include JG White, Kevin Chapman, Thomas Duke, James R. Bamburg, Gerry Shaw, Philip J. Robbins, Thomas Croguennec, Peter J. Hollenbeck, Robert B. Bourret and Richard E. Fine. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences, Journal of Neurochemistry, The Journal of Cell Biology and Experimental Cell Research.
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.