Julia Kaye

3.6k citations
29 papers · 1.9k · 1 hit paper · h-index 18

Impact in

  • Aging top 5%
  • Neurology top 2%
    • Amyotrophic Lateral Sclerosis Research
    • Neurological diseases and metabolism

Papers in

Julia Kaye

27 papers receiving 1.9k citations

Julia Kaye's Hit Papers

Genome-wide Analyses Identify KIF5A as a Novel ALS Gene 2018 · 526 citations
5260+2+5Years since publication100200300400500

Peers

Julia Kaye
Comparison fields: 5 of 101
  • Aging 97
  • Neurology 588
  • Genetics 267
  • Cellular and Molecular Neuroscience 444
  • Neurology 155
Replace Rory D. Kirchner with:
Rory D. Kirchner United States
Magalie Lecourtois France
Makoto Minamiyama Japan
Nicole F. Liachko United States
Ismael Al‐Ramahi United States
Ruilin Tian China
Samantha H. Y. Loh United Kingdom
Andrew D. Strand United States
Nicholas T. Hertz United States
Cristiana Atzori Italy
Julia Kaye relative to Rory D. Kirchner United States Rory D. Kirchner's profile →
Citations per field
00.5×2×2.6×
Rory D. Kirchner · 1×
Citations per year

Countries citing papers authored by Julia Kaye

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Julia Kaye Line = papers co-authored together Julia Kaye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genome-wide Analyses Identify KIF5A as a Novel ALS Gene
Hit paper breakdown →
2018526
2 2017306
3 2017176
4 2004128
5 202292
6 200987
7 201861
8 202160
9 202359
10 201358
11 201047
12 201944
13 202238
14 201637
15 201236
16 202135
17 202127
18 202219
19 201517
20 201716

About Julia Kaye

Julia Kaye is a scholar working on Cellular and Molecular Neuroscience, Neurology, Aging, Molecular Biology and Genetics, having authored 29 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (10 papers), Amyotrophic Lateral Sclerosis Research (8 papers), Mitochondrial Function and Pathology (6 papers), Pluripotent Stem Cells Research (3 papers), Epigenetics and DNA Methylation (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Neurological disorders and treatments (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Aging (97 citations), Neurology (588 citations), Genetics (267 citations), Cellular and Molecular Neuroscience (444 citations) and Neurology (155 citations). Julia Kaye has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Steven M. Finkbeiner, Noëlle D. L’Étoile, Andrei Goga, Stephanie K. Cheung, David Paul Toczyski, James E. Haber, Justine A. Melo, Moreshwar B. Vaze, Terry Reisine and Aaron C. Daub. Their work appears in journals such as Neuron, Cell Reports, Nature Neuroscience, Scientific Reports 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.

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