Matthew Edwards

7.1k citations
106 papers · 3.3k · h-index 33

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Allergic Rhinitis and Sensitization

Papers in

    • Connective tissue disorders research 7
    • Genetic Syndromes and Imprinting 5
    • DNA Repair Mechanisms 4

Matthew Edwards

100 papers receiving 3.3k citations

Peers

Matthew Edwards
Comparison fields: 5 of 132
  • Immunology 656
  • Immunology and Allergy 166
  • Dermatology 207
  • Genetics 547
  • Aging 27
Replace Juan J. Yunis with:
Juan J. Yunis United States
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Jean‐Jacques Cassiman Belgium
Jack Goldblatt Australia
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Citations per field
00.5×
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Citations per year

Countries citing papers authored by Matthew Edwards

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Edwards

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008333
2
Most germ-line mutations in the nevoid basal cell carcinoma syndrome lead to a premature termination of the PATCHED protein, and no genotype-phenotype correlations are evident.
1997213
3 2001212
4 1998158
5 2007139
6 1987112
7 2005106
8 196993
9 200675
10 200569
11 200565
12 200762
13 201362
14 200260
15 200560
16 201356
17 200553
18 200253
19 200352
20 199652

About Matthew Edwards

Matthew Edwards is a scholar working on Genetics, Molecular Biology, Immunology, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 106 papers that have together received 3.3k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (7 papers), Connective tissue disorders research (7 papers), Immune Cell Function and Interaction (6 papers), Genetic Syndromes and Imprinting (5 papers), IL-33, ST2, and ILC Pathways (5 papers), Prenatal Screening and Diagnostics (5 papers), DNA Repair Mechanisms (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Immunology (656 citations), Immunology and Allergy (166 citations), Dermatology (207 citations), Genetics (547 citations) and Aging (27 citations). Matthew Edwards has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include John M. Graham, Marshall J. Edwards, Nigel J. Dimmock, Kevin C. H. Parker, Andrew Harrison, Persephone Borrow, Betty Shamji, Lawrence E. Hightower, Norman W. Klein and David A. Walsh. Their work appears in journals such as The Journal of Immunology, Twin Research and Human Genetics, Toxicology in Vitro, Journal of Clinical Oncology and Human Mutation.

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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