Kyle Denton

615 citations
15 papers · 445 · h-index 12

Impact in

  • Neurology top 10%
    • Neurological diseases and metabolism
    • Amyotrophic Lateral Sclerosis Research
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

Kyle Denton

15 papers receiving 441 citations

Peers

Kyle Denton
Comparison fields: 5 of 59
  • Neurology 116
  • Genetics 123
  • Cellular and Molecular Neuroscience 202
  • Developmental Neuroscience 25
  • Cell Biology 72
Replace Geon Kwak with:
Geon Kwak South Korea
David S. Lynch United Kingdom
Sara K. Custer United States
Ryan G. Lim United States
Alleene V. Strickland United States
Agnieszka Kamińska Poland
Soshana Svendsen United States
Laura Rué Belgium
Olivia Gautier United States
Robert Prior Belgium
Kyle Denton relative to Geon Kwak South Korea Geon Kwak's profile →
Citations per field
00.5×1.5×2.2×
Geon Kwak · 1×
Citations per year

Countries citing papers authored by Kyle Denton

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Denton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2013110
2 201555
3 201451
4 201840
5 201635
6 202027
7 201322
8 201621
9 202021
10 201717
11 201614
12 201312
13 202310
14 20146
15 20134

About Kyle Denton

Kyle Denton is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Neurology and Genetics, having authored 15 papers that have together received 445 indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (5 papers), Neurogenetic and Muscular Disorders Research (5 papers), Neurological diseases and metabolism (4 papers), Pluripotent Stem Cells Research (3 papers), Genetic Neurodegenerative Diseases (3 papers), CRISPR and Genetic Engineering (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Connective tissue disorders research (1 paper). The work is most often cited by research in Neurology (116 citations), Genetics (123 citations), Cellular and Molecular Neuroscience (202 citations), Developmental Neuroscience (25 citations) and Cell Biology (72 citations). Kyle Denton has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Xue Jun Li, Craig Blackstone, Ling Lei, Jeremy Grenier, Vladimir Rodionov, Xuejun Li, Chongchong Xu, Xiaoqing Zhang, Tyler Mark Pierson and Peng-Peng Zhu. Their work appears in journals such as Human Molecular Genetics, Journal of Visualized Experiments, Stem Cells, Acta Neuropathologica Communications 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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