Dylan Britt

759 citations
10 papers · 479 · h-index 8

Impact in

    • Cellular transport and secretion
    • Microtubule and mitosis dynamics
  • Physiology top 10%
    • Calcium signaling and nucleotide metabolism

Papers in

    • Cellular transport and secretion 5
    • Microtubule and mitosis dynamics 4
    • Galaxies: Formation, Evolution, Phenomena 3
    • Cosmology and Gravitation Theories 3

Dylan Britt

10 papers receiving 470 citations

Peers

Dylan Britt
Comparison fields: 5 of 77
  • Cell Biology 225
  • Physiology 45
  • Developmental Neuroscience 35
  • Genetics 78
  • Cellular and Molecular Neuroscience 108
Replace Chun-Fang Huang with:
Chun-Fang Huang Taiwan
Martina Marinello France
Katsuhito Yasuno United States
Kimberly A. Toops United States
Adrian G. Todd United States
Kimberle Shen United States
Olga S. Koutsopoulos Australia
Eva Klinman United States
Elena Sánchez-Heras United Kingdom
Dong‐Won Lee South Korea
Dylan Britt relative to Chun-Fang Huang Taiwan Chun-Fang Huang's profile →
Citations per field
00.5×3.1×
Chun-Fang Huang · 1×
Citations per year

Countries citing papers authored by Dylan Britt

Since Specialization
Citations

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

Fields of papers citing papers by Dylan Britt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Dylan Britt, 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 Dylan Britt Line = papers co-authored together Dylan Britt links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2017156
2 201596
3 201595
4 202045
5 201639
6 201616
7 202114
8 202113
9 20243
10 20242

About Dylan Britt

Dylan Britt is a scholar working on Cell Biology, Astronomy and Astrophysics, Cellular and Molecular Neuroscience, Developmental Neuroscience and Molecular Biology, having authored 10 papers that have together received 479 indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Microtubule and mitosis dynamics (4 papers), Galaxies: Formation, Evolution, Phenomena (3 papers), Cosmology and Gravitation Theories (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Dark Matter and Cosmic Phenomena (1 paper), Meningioma and schwannoma management (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Cell Biology (225 citations), Physiology (45 citations), Developmental Neuroscience (35 citations), Genetics (78 citations) and Cellular and Molecular Neuroscience (108 citations). Dylan Britt has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Juan S. Bonifacino, Ginny G. Farı́as, Carlos M. Guardia, Raffaella De Pace, Xiaoli Guo, Shervin Rahimpour, Cory Adamson, Allan H. Friedman, Vijay Agarwal and Steven Thomas. Their work appears in journals such as Cell Reports, Astronomy and Astrophysics, Journal of neurosurgery, Monthly Notices of the Royal Astronomical Society and Proceedings of the National Academy of Sciences.

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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