Justin E Dalton
Impact in
- Aging top 10%
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- Neurobiology and Insect Physiology Research
Papers in
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- Neurobiology and Insect Physiology Research 9
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- Animal Behavior and Reproduction 7
- Co-authors
- Michelle N Arbeitman (11 shared papers)Sergey V. Nuzhdin (4 shared papers)Laura E. Sanders (2 shared papers)Matthew S. Lebo (2 shared papers)Justin M. Fear (3 shared papers)Simon Knott (2 shared papers)Lauren M. McIntyre (3 shared papers)Fengzhu Sun (1 shared paper)
- Journals
- G3 Genes Genomes Genetics (3 papers)BMC Genomics (2 papers)Current Biology (1 paper)ImmunoHorizons (1 paper)BMC Systems Biology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Justin E Dalton
12 papers receiving 411 citations
Peers
Comparison fields: 5 of 74
- Aging 25
- Cellular and Molecular Neuroscience 193
- Ecology, Evolution, Behavior and Systematics 173
- Genetics 173
- Insect Science 64
Countries citing papers authored by Justin E Dalton
This map shows the geographic impact of Justin E Dalton'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 Justin E Dalton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin E Dalton more than expected).
Fields of papers citing papers by Justin E Dalton
This network shows the impact of papers produced by Justin E Dalton. 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 Justin E Dalton. The network helps show where Justin E Dalton may publish in the future.
Co-authors
The 25 scholars most cited alongside Justin E Dalton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 90 | |
| 2 | 2009 | 54 | |
| 3 | 2010 | 51 | |
| 4 | 2013 | 50 | |
| 5 | 2011 | 43 | |
| 6 | 2012 | 41 | |
| 7 | 2016 | 29 | |
| 8 | 2020 | 18 | |
| 9 | 2016 | 15 | |
| 10 | 2015 | 11 | |
| 11 | 2019 | 10 | |
| 12 | 2021 | 1 |
About Justin E Dalton
Justin E Dalton is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Genetics, Immunology and Molecular Biology, having authored 12 papers that have together received 413 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (9 papers), Animal Behavior and Reproduction (7 papers), Invertebrate Immune Response Mechanisms (3 papers), Insect and Arachnid Ecology and Behavior (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Species Distribution and Climate Change (1 paper) and Insect Utilization and Effects (1 paper). The work is most often cited by research in Aging (25 citations), Cellular and Molecular Neuroscience (193 citations), Ecology, Evolution, Behavior and Systematics (173 citations), Genetics (173 citations) and Insect Science (64 citations). Justin E Dalton has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Michelle N Arbeitman, Sergey V. Nuzhdin, Laura E. Sanders, Matthew S. Lebo, Justin M. Fear, Simon Knott, Lauren M. McIntyre, Fengzhu Sun, Peter L. Chang and Krystle Nomie. Their work appears in journals such as G3 Genes Genomes Genetics, BMC Genomics, Current Biology, ImmunoHorizons and BMC Systems 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.