Mathew P. Dixon

1.2k citations
14 papers · 883 · h-index 11

Impact in

    • Neurogenesis and neuroplasticity mechanisms
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • Histone Deacetylase Inhibitors Research
    • Protein Degradation and Inhibitors
    • Ubiquitin and proteasome pathways
    • Cancer-related gene regulation

Papers in

    • Epigenetics and DNA Methylation 8
    • Genomics and Chromatin Dynamics 5
    • Pluripotent Stem Cells Research 3
    • Histone Deacetylase Inhibitors Research 2
    • RNA Research and Splicing 2
    • Genetics and Neurodevelopmental Disorders 3

Mathew P. Dixon

14 papers receiving 877 citations

Peers

Mathew P. Dixon
Comparison fields: 5 of 67
  • Developmental Neuroscience 86
  • Molecular Biology 708
  • Genetics 212
  • Hematology 62
  • Cancer Research 55
Replace Michael S. Kareta with:
Michael S. Kareta United States
Linya You China
Slavica Dimitrieva Switzerland
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Jia-Ray Yu United States
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Kenji Kokura Japan
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Citations per field
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Michael S. Kareta · 1×
Citations per year

Countries citing papers authored by Mathew P. Dixon

Since Specialization
Citations

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

Fields of papers citing papers by Mathew P. Dixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathew P. Dixon. 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 Mathew P. Dixon. The network helps show where Mathew P. Dixon may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2008140
2 2006136
3 2009131
4 2010130
5 2006103
6 201276
7 200870
8 201236
9 200218
10 201114
11 201814
12 20227
13 20206
14 20122

About Mathew P. Dixon

Mathew P. Dixon is a scholar working on Molecular Biology, Genetics, Developmental Neuroscience, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 883 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Genomics and Chromatin Dynamics (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Pluripotent Stem Cells Research (3 papers), Histone Deacetylase Inhibitors Research (2 papers), RNA Research and Splicing (2 papers) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Developmental Neuroscience (86 citations), Molecular Biology (708 citations), Genetics (212 citations), Hematology (62 citations) and Cancer Research (55 citations). Mathew P. Dixon has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Anne K. Voss, Tim Thomas, Andrew J. Kueh, Caitlin Collin, Bilal N. Sheikh, Donald Metcalf, Lynn M. Corcoran, Stephen L. Nutt, Raffi Gugasyan and Thomas C. Brodnicki. Their work appears in journals such as Developmental Cell, Development, Molecular and Cellular Biology, Cell Reports and Journal of Cell Science.

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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