Matthew Burrell

1.1k citations
21 papers · 830 indexed · h-index 17

Impact in

  • Neurology top 10%
    • Barrier Structure and Function Studies
    • Polyamine Metabolism and Applications
    • RNA Interference and Gene Delivery
    • Porphyrin Metabolism and Disorders

Papers in

    • Porphyrin Metabolism and Disorders 4
    • Cancer therapeutics and mechanisms 2
    • Alzheimer's disease research and treatments 2

Matthew Burrell

21 papers receiving 807 citations

Peers

Matthew Burrell
Comparison fields: 5 of 96
  • Neurology 89
  • Molecular Biology 485
  • Biochemistry 38
  • Physiology 126
  • Molecular Medicine 23
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Wenjie Li China
Chunlei Yu China
Y. Rajesh India
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A. V. Avetisyan Russia
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Citations per field
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Citations per year

Countries citing papers authored by Matthew Burrell

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Burrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010102
2 201372
3 201865
4 201253
5 200851
6 201851
7 200550
8 200747
9 201645
10 201443
11 201735
12 202234
13 202133
14 200733
15 201831
16 200927
17 200618
18 200913
19 201312
20 202411

About Matthew Burrell

Matthew Burrell is a scholar working on Molecular Biology, Physiology, Radiology, Nuclear Medicine and Imaging, Plant Science and Genetics, having authored 21 papers that have together received 830 indexed citations. Recurring topics across this work include Plant pathogens and resistance mechanisms (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Porphyrin Metabolism and Disorders (4 papers), Plant responses to elevated CO2 (3 papers), Alzheimer's disease research and treatments (2 papers), Nerve injury and regeneration (2 papers), Cancer therapeutics and mechanisms (2 papers) and Complement system in diseases (2 papers). The work is most often cited by research in Neurology (89 citations), Molecular Biology (485 citations), Biochemistry (38 citations), Physiology (126 citations) and Molecular Medicine (23 citations). Matthew Burrell has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Carl I. Webster, Anthony J. Michael, Colin Hanfrey, Stephen Bornemann, George Thom, Laura Bowater, Ewan J. Murray, Nicola R. Stanley‐Wall, Anthony Maxwell and Ian Gurrell. Their work appears in journals such as mAbs, Pain, Biochemistry, PLoS ONE and Molecular Microbiology.

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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