Brian E. Staveley
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
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- Neurobiology and Insect Physiology Research
- Nuclear Receptors and Signaling
Papers in
-
- Insect Resistance and Genetics 4
- Mitochondrial Function and Pathology 4
- Ubiquitin and proteasome pathways 3
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- Neurobiology and Insect Physiology Research 8
- Nuclear Receptors and Signaling 4
- Co-authors
- Jamie M. Kramer (3 shared papers)Annika Haywood (2 shared papers)Armen S. Manoukian (2 shared papers)Ranga Godavarti (1 shared paper)Richard Binari (1 shared paper)Wayne A. Johnson (1 shared paper)Ram Sasisekharan (1 shared paper)J. P. Phillips (2 shared papers)
- Journals
- Genome (9 papers)BMC Neuroscience (3 papers)PeerJ (2 papers)Journal of Biomedical Science (1 paper)Current Biology (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Brian E. Staveley
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Aging 193
- Cellular and Molecular Neuroscience 348
- Neurology 210
- Cell Biology 207
- Molecular Biology 688
Countries citing papers authored by Brian E. Staveley
This map shows the geographic impact of Brian E. Staveley'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 Brian E. Staveley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian E. Staveley more than expected).
Fields of papers citing papers by Brian E. Staveley
This network shows the impact of papers produced by Brian E. Staveley. 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 Brian E. Staveley. The network helps show where Brian E. Staveley may publish in the future.
Co-authors
The 20 scholars most cited alongside Brian E. Staveley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 216 | |
| 2 | 2003 | 187 | |
| 3 | 1998 | 118 | |
| 4 | 2004 | 94 | |
| 5 | GAL4 causes developmental defects and apoptosis when expressed in the developing eye of Drosophila melanogaster. | 2003 | 83 |
| 6 | 1990 | 61 | |
| 7 | 2008 | 60 | |
| 8 | 1995 | 52 | |
| 9 | 2008 | 42 | |
| 10 | 2012 | 40 | |
| 11 | 2006 | 29 | |
| 12 | 2015 | 19 | |
| 13 | 2016 | 13 | |
| 14 | 2016 | 13 | |
| 15 | 2016 | 12 | |
| 16 | 2017 | 11 | |
| 17 | 2016 | 11 | |
| 18 | 2016 | 11 | |
| 19 | 2011 | 10 | |
| 20 | 2015 | 9 |
About Brian E. Staveley
Brian E. Staveley is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Epidemiology and Cell Biology, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (9 papers), Neurobiology and Insect Physiology Research (8 papers), Insect Resistance and Genetics (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Nuclear Receptors and Signaling (4 papers), Mitochondrial Function and Pathology (4 papers), Autophagy in Disease and Therapy (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Aging (193 citations), Cellular and Molecular Neuroscience (348 citations), Neurology (210 citations), Cell Biology (207 citations) and Molecular Biology (688 citations). Brian E. Staveley has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Jamie M. Kramer, Annika Haywood, Armen S. Manoukian, Ranga Godavarti, Richard Binari, Wayne A. Johnson, Ram Sasisekharan, J. P. Phillips, Arthur J. Hilliker and Laurent Ruel. Their work appears in journals such as Genome, BMC Neuroscience, PeerJ, Journal of Biomedical Science and Current Biology.
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.