James Dillon

20 papers receiving 344 citations

Peers

James Dillon
Comparison fields: 5 of 61
  • Aging 170
  • Endocrine and Autonomic Systems 105
  • Insect Science 40
  • Cellular and Molecular Neuroscience 58
  • Plant Science 105
Replace Elizabeth Rex with:
Elizabeth Rex United States
Denis Touroutine United States
C. Li United States
Oishika Panda United States
Marie C. Milfort United States
Nathan E. Schroeder United States
Anna O. Burdina United States
Parag Mahanti United States
Candida Rogers United Kingdom
Christopher J. Franks United Kingdom
James Dillon relative to Elizabeth Rex United States Elizabeth Rex's profile →
Citations per field
00.5×
Elizabeth Rex · 1×
Citations per year

Countries citing papers authored by James Dillon

Since Specialization
Citations

This map shows the geographic impact of James Dillon'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 James Dillon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Dillon more than expected).

Fields of papers citing papers by James Dillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Dillon. 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 James Dillon. The network helps show where James Dillon may publish in the future.

Co-authors

The 25 scholars most cited alongside James Dillon, 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 James Dillon Line = papers co-authored together James Dillon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201496
2 201043
3 201329
4 201727
5 200626
6 201519
7 200917
8 201517
9 201613
10 201313
11 201810
12 19749
13 20016
14 20206
15 20216
16 20046
17 20223
18 19642
19 20121
20 20181

About James Dillon

James Dillon is a scholar working on Aging, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Social Psychology and Molecular Biology, having authored 20 papers that have together received 350 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (15 papers), Circadian rhythm and melatonin (10 papers), Photoreceptor and optogenetics research (4 papers), Neuroendocrine regulation and behavior (4 papers), Autism Spectrum Disorder Research (2 papers), Spaceflight effects on biology (2 papers), CRISPR and Genetic Engineering (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Aging (170 citations), Endocrine and Autonomic Systems (105 citations), Insect Science (40 citations), Cellular and Molecular Neuroscience (58 citations) and Plant Science (105 citations). James Dillon has collaborated with scholars based in United Kingdom, Australia and Japan. Frequent co-authors include Lindy Holden‐Dye, Vincent O’Connor, Fernando Calahorro, Neil A. Hopper, Ioannis Andrianakis, Christopher J. James, Caitríona Murray, Steven Glautier, Richard F. Mould and Chunxiao Hu. Their work appears in journals such as PLoS ONE, Biochemical Society Transactions, Scientific Reports, Journal of the Science of Food and Agriculture and Human Molecular Genetics.

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.

Explore authors with similar magnitude of impact