Emma Rushton
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- Neurobiology and Insect Physiology Research
- Neuroscience and Neuropharmacology Research
Papers in
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- Developmental Biology and Gene Regulation 6
- Muscle Physiology and Disorders 4
- Lipid Membrane Structure and Behavior 3
- RNA Research and Splicing 3
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- Neurobiology and Insect Physiology Research 13
- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Michael Bate (7 shared papers)Kendal Broadie (15 shared papers)David E. Featherstone (4 shared papers)Douglas A. Currie (1 shared paper)Rachel Drysdale (2 shared papers)Alan M. Michelson (1 shared paper)Susan M. Abmayr (1 shared paper)Jeffrey Rohrbough (5 shared papers)
- Journals
- Development (5 papers)Journal of Cell Science (3 papers)Neuron (3 papers)Journal of Neuroscience (2 papers)Disease Models & Mechanisms (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Emma Rushton
24 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 77
- Aging 120
- Cellular and Molecular Neuroscience 749
- Cell Biology 462
- Molecular Biology 1.2k
- Genetics 202
Countries citing papers authored by Emma Rushton
This map shows the geographic impact of Emma Rushton'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 Emma Rushton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Rushton more than expected).
Fields of papers citing papers by Emma Rushton
This network shows the impact of papers produced by Emma Rushton. 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 Emma Rushton. The network helps show where Emma Rushton may publish in the future.
Co-authors
The 25 scholars most cited alongside Emma Rushton, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 230 | |
| 2 | 1991 | 217 | |
| 3 | 1997 | 143 | |
| 4 | 1996 | 111 | |
| 5 | 2005 | 107 | |
| 6 | 2000 | 89 | |
| 7 | 2002 | 89 | |
| 8 | 1993 | 89 | |
| 9 | 2004 | 88 | |
| 10 | 1993 | 87 | |
| 11 | 2000 | 72 | |
| 12 | Myogenesis and muscle patterning in Drosophila. | 1993 | 66 |
| 13 | 2007 | 43 | |
| 14 | 1993 | 42 | |
| 15 | 2013 | 40 | |
| 16 | 2013 | 29 | |
| 17 | 2009 | 28 | |
| 18 | 2023 | 24 | |
| 19 | 2012 | 15 | |
| 20 | 2020 | 11 |
About Emma Rushton
Emma Rushton is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Genetics and Biomaterials, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (13 papers), Cellular transport and secretion (8 papers), Developmental Biology and Gene Regulation (6 papers), Muscle Physiology and Disorders (4 papers), Lipid Membrane Structure and Behavior (3 papers), RNA Research and Splicing (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Silk-based biomaterials and applications (3 papers). The work is most often cited by research in Aging (120 citations), Cellular and Molecular Neuroscience (749 citations), Cell Biology (462 citations), Molecular Biology (1.2k citations) and Genetics (202 citations). Emma Rushton has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Michael Bate, Kendal Broadie, David E. Featherstone, Douglas A. Currie, Rachel Drysdale, Alan M. Michelson, Susan M. Abmayr, Jeffrey Rohrbough, Ronald L. Davis and Efthimios M. C. Skoulakis. Their work appears in journals such as Development, Journal of Cell Science, Neuron, Journal of Neuroscience and Disease Models & Mechanisms.
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.