Julia Kaye
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Genetic Neurodegenerative Diseases
Papers in
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- Genetic Neurodegenerative Diseases 6
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- Mitochondrial Function and Pathology 3
- Fungal and yeast genetics research 2
- Pluripotent Stem Cells Research 2
- CRISPR and Genetic Engineering 2
- Co-authors
- Steven Finkbeiner (9 shared papers)Noëlle D. L’Étoile (3 shared papers)James E. Haber (1 shared paper)David P. Toczyski (1 shared paper)Moreshwar B. Vaze (1 shared paper)Justine A. Melo (1 shared paper)Stephanie Cheung (1 shared paper)Andrei Goga (2 shared papers)
- Journals
- Scientific Reports (2 papers)The American Journal of Human Genetics (1 paper)Current Biology (1 paper)Human Molecular Genetics (1 paper)PLoS Pathogens (1 paper)
- Partner nations
- United StatesJapanSingapore
In The Last Decade
Julia Kaye
13 papers receiving 506 citations
Peers
Comparison fields: 5 of 64
- Aging 81
- Cellular and Molecular Neuroscience 132
- Endocrine and Autonomic Systems 45
- Molecular Biology 370
- Cell Biology 56
Countries citing papers authored by Julia Kaye
This map shows the geographic impact of Julia Kaye'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 Julia Kaye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Kaye more than expected).
Fields of papers citing papers by Julia Kaye
This network shows the impact of papers produced by Julia Kaye. 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 Julia Kaye. The network helps show where Julia Kaye may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Kaye, 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 | 2004 | 129 | |
| 2 | 2009 | 81 | |
| 3 | 2018 | 59 | |
| 4 | 2013 | 53 | |
| 5 | 2010 | 43 | |
| 6 | 2016 | 32 | |
| 7 | 2012 | 31 | |
| 8 | 2021 | 23 | |
| 9 | 2015 | 17 | |
| 10 | 2017 | 15 | |
| 11 | 2022 | 12 | |
| 12 | 2016 | 11 | |
| 13 | 2023 | 3 |
About Julia Kaye
Julia Kaye is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Infectious Diseases, Neurology and Endocrine and Autonomic Systems, having authored 13 papers that have together received 509 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (6 papers), Mitochondrial Function and Pathology (3 papers), Mosquito-borne diseases and control (2 papers), Viral Infections and Vectors (2 papers), Fungal and yeast genetics research (2 papers), Pluripotent Stem Cells Research (2 papers), Neurological disorders and treatments (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Aging (81 citations), Cellular and Molecular Neuroscience (132 citations), Endocrine and Autonomic Systems (45 citations), Molecular Biology (370 citations) and Cell Biology (56 citations). Julia Kaye has collaborated with scholars based in United States, Japan and Singapore. Frequent co-authors include Steven Finkbeiner, Noëlle D. L’Étoile, James E. Haber, David P. Toczyski, Moreshwar B. Vaze, Justine A. Melo, Stephanie Cheung, Andrei Goga, Terry Reisine and Aaron Daub. Their work appears in journals such as Scientific Reports, The American Journal of Human Genetics, Current Biology, Human Molecular Genetics and PLoS Pathogens.
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.