James Kezos

1.1k citations
10 papers · 61 · h-index 5

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Genetic diversity and population structure
    • Evolution and Genetic Dynamics
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Physiological and biochemical adaptations 6
    • Genetics, Aging, and Longevity in Model Organisms 5

James Kezos

10 papers receiving 60 citations

Peers

James Kezos
Comparison fields: 5 of 26
  • Aging 21
  • Genetics 33
  • Cellular and Molecular Neuroscience 16
  • Insect Science 10
  • Neuropsychology and Physiological Psychology 1
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Ryoko Yui Japan
Jonathan M. Palozzi Canada
Lavanya Turlapati United States
Philip K. Shiu United States
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Kristen M. Laricchia United States
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Citations per field
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Citations per year

Countries citing papers authored by James Kezos

Since Specialization
Citations

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

Fields of papers citing papers by James Kezos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201624
2 201814
3 20176
4 20196
5 20165
6 20212
7 20151
8 20231
9 20231
10 20201

About James Kezos

James Kezos is a scholar working on Ecology, Aging, Cellular and Molecular Neuroscience, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 10 papers that have together received 61 indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Neurobiology and Insect Physiology Research (3 papers), Animal Behavior and Reproduction (2 papers), Genetic diversity and population structure (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Diet and metabolism studies (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Aging (21 citations), Genetics (33 citations), Cellular and Molecular Neuroscience (16 citations), Insect Science (10 citations) and Neuropsychology and Physiological Psychology (1 citation). James Kezos has collaborated with scholars based in United States and Portugal. Frequent co-authors include Laurence D. Mueller, Michael R. Rose, Mark Phillips, Molly K. Burke, Parvin Shahrestani, Huy Duc Nguyen, Richard H. Chen, Timothy J. Bradley, Rolf Bodmer and Ryan T. Birse. Their work appears in journals such as Physiological and Biochemical Zoology, Ecology and Evolution, Biogerontology, Journal of Insect Physiology 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.

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