Matthew Madgwick

722 citations
17 papers · 313 · h-index 7

Impact in

Papers in

    • Single-cell and spatial transcriptomics 3
    • Gut microbiota and health 3
    • Bioinformatics and Genomic Networks 3
    • Immune Cell Function and Interaction 4
    • IL-33, ST2, and ILC Pathways 2
    • Immune responses and vaccinations 2

Matthew Madgwick

15 papers receiving 310 citations

Peers

Matthew Madgwick
Comparison fields: 5 of 80
  • Genetics 120
  • Microbiology 25
  • Gastroenterology 22
  • Health Informatics 4
  • Immunology 55
Replace Takashige Suzuki with:
Takashige Suzuki Japan
Ripple Man United Kingdom
Derek Patel United States
Xuyang Xia China
Shao-Wen Hung Taiwan
Fridrik Karlsson United States
Michael S. McNevin United States
Masashi Ebisawa Japan
Nassim Hammoudi France
Richa Chibbar Canada
Matthew Madgwick relative to Takashige Suzuki Japan Takashige Suzuki's profile →
Citations per field
00.5×4.2×
Takashige Suzuki · 1×
Citations per year

Countries citing papers authored by Matthew Madgwick

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Madgwick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2020157
2 202270
3 202216
4 202315
5 202111
6 201910
7 20217
8 20246
9 20246
10 20244
11 20224
12 20234
13 20221
14 20211
15 20221
16 20250
17 20220

About Matthew Madgwick

Matthew Madgwick is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Surgery, having authored 17 papers that have together received 313 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Single-cell and spatial transcriptomics (3 papers), Gut microbiota and health (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Inflammatory Bowel Disease (3 papers), Bioinformatics and Genomic Networks (3 papers), IL-33, ST2, and ILC Pathways (2 papers) and Immune responses and vaccinations (2 papers). The work is most often cited by research in Genetics (120 citations), Microbiology (25 citations), Gastroenterology (22 citations), Health Informatics (4 citations) and Immunology (55 citations). Matthew Madgwick has collaborated with scholars based in United Kingdom, Belgium and Hungary. Frequent co-authors include Tamás Korcsmáros, Padhmanand Sudhakar, Bram Verstockt, Séverine Vermeire, Dezső Módos, Lejla Gul, John P. Thomas, Simon R. Carding, Catherine Booth and Sónia Fonseca. Their work appears in journals such as Nature Communications, Journal of Crohn s and Colitis, mSystems, Autophagy and Cells.

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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