Mathias Mueller
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 ⓘ
-
- Immune Cell Function and Interaction 3
- Immune Response and Inflammation 2
- Co-authors
- Г. Брем (8 shared papers)Eckhard Wolf (5 shared papers)Emilio Casanova (3 shared papers)Ralf Steinborn (4 shared papers)Hendrik Wenigerkind (3 shared papers)Wolfgang Schernthaner (3 shared papers)Miodrag Stojković (3 shared papers)Valeri Zakhartchenko (3 shared papers)
- Journals
- Gene (1 paper)Blood (1 paper)Cancer Research (1 paper)Infection and Immunity (1 paper)Nature Communications (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Mathias Mueller
26 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Immunology 308
- Genetics 323
- Public Health, Environmental and Occupational Health 227
- Molecular Biology 514
- Oncology 189
Countries citing papers authored by Mathias Mueller
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
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.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 169 | |
| 2 | 1999 | 136 | |
| 3 | 2009 | 129 | |
| 4 | 2007 | 87 | |
| 5 | 2001 | 81 | |
| 6 | 2015 | 77 | |
| 7 | 2020 | 74 | |
| 8 | 1999 | 59 | |
| 9 | 1999 | 54 | |
| 10 | Intramuscular fat content and genetic variants at fatty acid-binding protein loci in Austrian pigs. | 2001 | 43 |
| 11 | 2011 | 40 | |
| 12 | 2019 | 34 | |
| 13 | 2011 | 32 | |
| 14 | 2005 | 30 | |
| 15 | 2020 | 22 | |
| 16 | 1999 | 21 | |
| 17 | 2021 | 20 | |
| 18 | 2004 | 20 | |
| 19 | 2001 | 20 | |
| 20 | 2021 | 15 |
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.