Matthew Pitt

73 papers receiving 1.6k citations

Peers

Matthew Pitt
Comparison fields: 5 of 110
  • Neurology 596
  • Genetics 292
  • Cellular and Molecular Neuroscience 297
  • Psychiatry and Mental health 185
  • Cell Biology 197
Replace Edmar Zanoteli with:
Edmar Zanoteli Brazil
Regina Trollmann Germany
Günther Bernert Austria
George Stranjalis Greece
Daniel J. Curry United States
Lisa D. Hobson‐Webb United States
Anthony M. Avellino United States
Adnan Y. Manzur United Kingdom
Anamarli Nucci Brazil
Teruyuki Hirano Japan
Matthew Pitt relative to Edmar Zanoteli Brazil Edmar Zanoteli's profile →
Citations per field
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Edmar Zanoteli · 1×
Citations per year

Countries citing papers authored by Matthew Pitt

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Pitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019131
2 200890
3 201180
4 199776
5 200376
6 201966
7 200263
8 200853
9 199348
10 201644
11 201143
12 199341
13 201041
14 201340
15 201436
16 201036
17 201336
18 201431
19 201530
20 201630

About Matthew Pitt

Matthew Pitt is a scholar working on Neurology, Molecular Biology, Genetics, Surgery and Psychiatry and Mental health, having authored 77 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (20 papers), Myasthenia Gravis and Thymoma (18 papers), Nerve Injury and Rehabilitation (10 papers), Muscle activation and electromyography studies (7 papers), Hereditary Neurological Disorders (6 papers), Cerebral Palsy and Movement Disorders (6 papers), Neonatal and fetal brain pathology (5 papers) and Peripheral Nerve Disorders (5 papers). The work is most often cited by research in Neurology (596 citations), Genetics (292 citations), Cellular and Molecular Neuroscience (297 citations), Psychiatry and Mental health (185 citations) and Cell Biology (197 citations). Matthew Pitt has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Caroline A. Sewry, Heinz Jungbluth, Stewart Boyd, Joe F. Jabre, S. Robb, David H. Jones, Nicholas Kane, David Beeson, Donald B. Sanders and Erik Stålberg. Their work appears in journals such as Neuromuscular Disorders, Developmental Medicine & Child Neurology, Clinical Neurophysiology, Muscle & Nerve and European Journal of Paediatric 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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