Ken Dawson‐Scully
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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- Neurobiology and Insect Physiology Research 19
- Neuroscience and Neuropharmacology Research 6
- Aging 16
- Genetics, Aging, and Longevity in Model Organisms 16
- Co-authors
- R. Meldrum Robertson (10 shared papers)Konrad E. Zinsmaier (5 shared papers)Harold L. Atwood (5 shared papers)Peter Bronk (4 shared papers)Marla B. Sokolowski (3 shared papers)Sarah Milton (5 shared papers)Gary A.B. Armstrong (3 shared papers)R. David Andrew (3 shared papers)
- Journals
- PLoS ONE (8 papers)Journal of Experimental Biology (4 papers)Journal of Neurogenetics (2 papers)Neurocritical Care (2 papers)Journal of Neuroscience (2 papers)
- Partner nations
- United StatesCanadaHungary
In The Last Decade
Ken Dawson‐Scully
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Aging 135
- Cellular and Molecular Neuroscience 495
- Endocrine and Autonomic Systems 82
- Cell Biology 185
- Ecology 223
Countries citing papers authored by Ken Dawson‐Scully
This map shows the geographic impact of Ken Dawson‐Scully'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 Ken Dawson‐Scully with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Dawson‐Scully more than expected).
Fields of papers citing papers by Ken Dawson‐Scully
This network shows the impact of papers produced by Ken Dawson‐Scully. 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 Ken Dawson‐Scully. The network helps show where Ken Dawson‐Scully may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Dawson‐Scully, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 110 | |
| 2 | 2000 | 81 | |
| 3 | 2016 | 73 | |
| 4 | 2002 | 64 | |
| 5 | 2022 | 62 | |
| 6 | 2012 | 50 | |
| 7 | 2005 | 50 | |
| 8 | 2007 | 50 | |
| 9 | 2010 | 43 | |
| 10 | 1996 | 39 | |
| 11 | 2022 | 36 | |
| 12 | 2020 | 34 | |
| 13 | 1998 | 34 | |
| 14 | 2005 | 33 | |
| 15 | 2011 | 33 | |
| 16 | 2006 | 27 | |
| 17 | 2016 | 27 | |
| 18 | 2017 | 26 | |
| 19 | 2012 | 21 | |
| 20 | 2016 | 20 |
About Ken Dawson‐Scully
Ken Dawson‐Scully is a scholar working on Cellular and Molecular Neuroscience, Aging, Ecology, Molecular Biology and Pharmacology, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (19 papers), Genetics, Aging, and Longevity in Model Organisms (16 papers), Physiological and biochemical adaptations (13 papers), Neuroscience and Neuropharmacology Research (6 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Circadian rhythm and melatonin (5 papers), Heat shock proteins research (4 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Aging (135 citations), Cellular and Molecular Neuroscience (495 citations), Endocrine and Autonomic Systems (82 citations), Cell Biology (185 citations) and Ecology (223 citations). Ken Dawson‐Scully has collaborated with scholars based in United States, Canada and Hungary. Frequent co-authors include R. Meldrum Robertson, Konrad E. Zinsmaier, Harold L. Atwood, Peter Bronk, Marla B. Sokolowski, Sarah Milton, Gary A.B. Armstrong, R. David Andrew, Xiufang Guo and Herbert Weissbach. Their work appears in journals such as PLoS ONE, Journal of Experimental Biology, Journal of Neurogenetics, Neurocritical Care and Journal of Neuroscience.
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.