Matt Parton

1.0k citations
15 papers · 331 · h-index 11

Impact in

    • Neurogenetic and Muscular Disorders Research
    • Myasthenia Gravis and Thymoma

Papers in

Matt Parton

14 papers receiving 324 citations

Peers

Matt Parton
Comparison fields: 5 of 66
  • Genetics 60
  • Neurology 62
  • Medical Terminology 1
  • Cardiology and Cardiovascular Medicine 85
  • Cellular and Molecular Neuroscience 60
Replace Emanuele Frattini with:
Emanuele Frattini Italy
F. Hanisch Germany
Alzira Alves de Siqueira Carvalho Brazil
Flemming Juul Hansen Denmark
Miguel Urtasun Spain
Jung Hwan Lee South Korea
Hsueh‐Wen Hsueh Taiwan
Terumi Murakami Japan
Mary S. Carvalho Brazil
Heather Best United States
Matt Parton relative to Emanuele Frattini Italy Emanuele Frattini's profile →
Citations per field
00.5×1.5×2.5×
Emanuele Frattini · 1×
Citations per year

Countries citing papers authored by Matt Parton

Since Specialization
Citations

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

Fields of papers citing papers by Matt Parton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201350
2 201644
3 201736
4 201835
5 201833
6 201131
7 201331
8 202124
9 201113
10 200311
11 201910
12 20169
13
Atypical periodic paralysis and myalgia
20183
14 20221
15 20140

About Matt Parton

Matt Parton is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Genetics and Neurology, having authored 15 papers that have together received 331 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (5 papers), Cardiomyopathy and Myosin Studies (4 papers), Cellular transport and secretion (3 papers), Inflammatory Myopathies and Dermatomyositis (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Ion channel regulation and function (2 papers), Nuclear Structure and Function (2 papers) and Myasthenia Gravis and Thymoma (2 papers). The work is most often cited by research in Genetics (60 citations), Neurology (62 citations), Medical Terminology (1 citation), Cardiology and Cardiovascular Medicine (85 citations) and Cellular and Molecular Neuroscience (60 citations). Matt Parton has collaborated with scholars based in United Kingdom, Spain and Italy. Frequent co-authors include Michael G. Hanna, Henry Houlden, Janice L. Holton, David Hilton‐Jones, Elaine Murphy, Catherine J. Mummery, Indran Davagnanam, Chris Turner, Rebekah M. Ahmed and Jonathan D. Rohrer. Their work appears in journals such as Journal of Neurology Neurosurgery & Psychiatry, Muscle & Nerve, Frontiers in Neurology, Clinical Rehabilitation and Neurology.

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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