Meg Mathies

1.1k citations
7 papers · 894 · h-index 6

Impact in

    • Cell Adhesion Molecules Research
  • Immunology top 5%
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms

Papers in

    • Immune Response and Inflammation 3
    • T-cell and B-cell Immunology 2
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
    • Atherosclerosis and Cardiovascular Diseases 1
    • Cell Adhesion Molecules Research 3

Meg Mathies

6 papers receiving 819 citations

Peers

Meg Mathies
Comparison fields: 5 of 85
  • Immunology and Allergy 245
  • Immunology 569
  • Hematology 86
  • Microbiology 28
  • Endocrinology 23
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Z. Trnka United States
T J Fleming United States
N. Kors Netherlands
R de Waal Malefijt Netherlands
Sheila M. Sparshott United Kingdom
Dieter Armerding United States
Chandra Raykundalia United Kingdom
Jean‐Michel Bridon France
Friederike Hug Germany
Y Hitoshi Japan
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Citations per field
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Citations per year

Countries citing papers authored by Meg Mathies

Since Specialization
Citations

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

Fields of papers citing papers by Meg Mathies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 1999274
2 2003246
3 1963155
4 2001152
5 201441
6 197726
7 19890

About Meg Mathies

Meg Mathies is a scholar working on Immunology, Immunology and Allergy, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 7 papers that have together received 894 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (3 papers), Immune Response and Inflammation (3 papers), T-cell and B-cell Immunology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Bacteriophages and microbial interactions (1 paper) and Platelet Disorders and Treatments (1 paper). The work is most often cited by research in Immunology and Allergy (245 citations), Immunology (569 citations), Hematology (86 citations), Microbiology (28 citations) and Endocrinology (23 citations). Meg Mathies has collaborated with scholars based in United Kingdom, Germany and Finland. Frequent co-authors include Nancy Hogg, Robert B. Henderson, Dierk Bauer, Abram B. Stavitsky, Juergen Westermann, Florian Otto, Alf Hamann, Michael J. Owen, Philippe A. Tessier and Mauro Perretti. Their work appears in journals such as The Journal of Experimental Medicine, Blood, The FASEB Journal, Cold Spring Harbor Symposia on Quantitative Biology and Journal of Clinical 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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