Mathias Mueller

1.7k citations
28 papers · 1.2k indexed · h-index 19

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • IL-33, ST2, and ILC Pathways
  • Genetics top 10%
    • Animal Genetics and Reproduction

Papers in

Mathias Mueller

26 papers receiving 1.2k citations

Peers

Mathias Mueller
Comparison fields: 5 of 104
  • Immunology 308
  • Genetics 323
  • Public Health, Environmental and Occupational Health 227
  • Molecular Biology 514
  • Oncology 189
Replace Xiao Yang with:
Xiao Yang China
Shaoying Chen China
Matthias Karrasch Germany
C. Allison Gray United States
Debes Hammershaimb Christiansen Denmark
Hidemi Toyoda Japan
Séverine A. Degrelle France
Kohei Ishiyama Japan
Gunhild Sommer Germany
Joanne Berghout United States
Mathias Mueller relative to Xiao Yang China Xiao Yang's profile →
Citations per field
00.5×3.3×
Xiao Yang · 1×
Citations per year

Countries citing papers authored by Mathias Mueller

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010169
2 1999136
3 2009129
4 200787
5 200181
6 201577
7 202074
8 199959
9 199954
10
Intramuscular fat content and genetic variants at fatty acid-binding protein loci in Austrian pigs.
200143
11 201140
12 201934
13 201132
14 200530
15 202022
16 199921
17 202120
18 200420
19 200120
20 202115

About Mathias Mueller

Mathias Mueller is a scholar working on General Dentistry, Immunology, Genetics, Genetics and Animal Science and Zoology, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Pluripotent Stem Cells Research (4 papers), Immune Cell Function and Interaction (3 papers), Reproductive Biology and Fertility (3 papers), CRISPR and Genetic Engineering (2 papers), Immune Response and Inflammation (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Immunology (308 citations), Genetics (323 citations), Public Health, Environmental and Occupational Health (227 citations), Molecular Biology (514 citations) and Oncology (189 citations). Mathias Mueller has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Г. Брем, Eckhard Wolf, Emilio Casanova, Ralf Steinborn, Hendrik Wenigerkind, Wolfgang Schernthaner, Miodrag Stojković, Valeri Zakhartchenko, Katja Prelle and Thomas Kolbe. Their work appears in journals such as Gene, Blood, Cancer Research, Infection and Immunity and Nature Communications.

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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