Simone Meuter

868 citations
9 papers · 582 indexed · h-index 8

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • IL-33, ST2, and ILC Pathways
  • Microbiology top 10%
    • Antimicrobial Peptides and Activities

Papers in

    • T-cell and B-cell Immunology 6
    • Immunotherapy and Immune Responses 5
    • Immune Cell Function and Interaction 4
    • Immune Response and Inflammation 3
    • Antimicrobial Peptides and Activities 1

Simone Meuter

9 papers receiving 574 citations

Peers

Simone Meuter
Comparison fields: 5 of 70
  • Immunology 470
  • Microbiology 42
  • Oncology 169
  • Dermatology 40
  • Immunology and Allergy 18
Replace Íñigo Goya with:
Íñigo Goya Spain
Sandra Holzmann Austria
Deeksha Deep United States
Holger Petering Germany
SunAh Kang United States
Barbara Drobits Austria
Mariana Pereira da Costa United Kingdom
Dick John Pang United Kingdom
Uta Lauer Germany
A M Kruisbeek United States
Simone Meuter relative to Íñigo Goya Spain Íñigo Goya's profile →
Citations per field
00.5×8.7×
Íñigo Goya · 1×
Citations per year

Countries citing papers authored by Simone Meuter

Since Specialization
Citations

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

Fields of papers citing papers by Simone Meuter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 21 scholars most cited alongside Simone Meuter, 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 Simone Meuter Line = papers co-authored together Simone Meuter links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201310
2 201216
3 201066
4 2009106
5 200973
6 200857
7 20062
8 200660
9 2006192

About Simone Meuter

Simone Meuter is a scholar working on Immunology, Microbiology, Oncology, Neurology and Molecular Biology, having authored 9 papers that have together received 582 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (4 papers), Chemokine receptors and signaling (3 papers), Immune Response and Inflammation (3 papers), RNA Interference and Gene Delivery (1 paper), Antimicrobial Peptides and Activities (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Immunology (470 citations), Microbiology (42 citations), Oncology (169 citations), Dermatology (40 citations) and Immunology and Allergy (18 citations). Simone Meuter has collaborated with scholars based in Switzerland, United Kingdom and Australia. Frequent co-authors include Bernhard Moser, Lisa M. Ebert, Matthias Eberl, Nicholas Topley, Gareth Roberts, John D. Williams, Kathrin Mühlemann, Ulrich H. von Andrian, Mitchell J. Frederick and Nikhil Yawalkar. Their work appears in journals such as The Journal of Immunology, PLoS Pathogens, Immunology and Cell Biology, OncoImmunology and Cytokine.

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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