Ken Dawson‐Scully

1.4k citations
41 papers · 1.0k indexed · h-index 20

Impact in

Papers in

Ken Dawson‐Scully

39 papers receiving 1.0k citations

Peers

Ken Dawson‐Scully
Comparison fields: 5 of 99
  • Aging 137
  • Cellular and Molecular Neuroscience 494
  • Endocrine and Autonomic Systems 84
  • Cell Biology 174
  • Ecology 220
Replace Carol M. Singh with:
Carol M. Singh United States
Monica Moore United States
Laurent Perrin France
Junjiro Horiuchi Japan
Zhengmei Mao United States
Michael S. Grotewiel United States
Marcus J. Allen United Kingdom
Oliver Hendrich Germany
Rita Reifegerste Germany
Ken Dawson‐Scully relative to Carol M. Singh United States Carol M. Singh's profile →
Citations per field
00.5×
Carol M. Singh · 1×
Citations per year

Countries citing papers authored by Ken Dawson‐Scully

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Ken Dawson‐Scully Line = papers co-authored together Ken Dawson‐Scully links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 202259
3 20226
4 202233
5 20216
6 20200
7 20199
8 20183
9 201671
10 20168
11 201619
12 201414
13 201248
14 201131
15 201110
16 200918
17 200750
18 200624
19 200548
20 199637

About Ken Dawson‐Scully

Ken Dawson‐Scully is a scholar working on Aging, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Ecology and Developmental Neuroscience, having authored 41 papers that have together received 1.0k 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 (6 papers), Circadian rhythm and melatonin (5 papers), Ion channel regulation and function (4 papers) and Heat shock proteins research (4 papers). The work is most often cited by research in Aging (137 citations), Cellular and Molecular Neuroscience (494 citations), Endocrine and Autonomic Systems (84 citations), Cell Biology (174 citations) and Ecology (220 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, Scientific Reports, Journal of Neurogenetics and Journal of Neurophysiology.

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.

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