Matthias P. Wymann
- Immunology top 0.5%
- Mast cells and histamine 13
- Immune Cell Function and Interaction 12
- T-cell and B-cell Immunology 12
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 12
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research 9
- Molecular Biology top 0.5%
- PI3K/AKT/mTOR signaling in cancer 49
- Protein Kinase Regulation and GTPase Signaling 16
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 15
- Cell Biology top 0.5%
- Co-authors
- Luciano PirolaAlexandre ArcaroRoger SchneiterEmilio HirschRomina MaroneMuriel LaffargueFiorella AltrudaMarketa Zvelebil
- Journals
- Journal of Biological Chemistry (6 papers)Cancer Research (6 papers)Biochemical Journal (5 papers)
- Partner nations
- SwitzerlandItalyUnited Kingdom
In The Last Decade
Matthias P. Wymann
137 papers receiving 14.4k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Immunology 3.9k
- Immunology and Allergy 960
- Molecular Biology 9.0k
- Genetics 1.4k
- Cell Biology 1.7k
Countries citing papers authored by Matthias P. Wymann
This map shows the geographic impact of Matthias P. Wymann'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 Matthias P. Wymann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias P. Wymann more than expected).
Fields of papers citing papers by Matthias P. Wymann
This network shows the impact of papers produced by Matthias P. Wymann. 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 Matthias P. Wymann. The network helps show where Matthias P. Wymann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthias P. Wymann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 15 | |
| 5 | 2022 | 40 | |
| 6 | 2021 | 8 | |
| 7 | 2020 | 18 | |
| 8 | 2019 | 59 | |
| 9 | 2017 | 26 | |
| 10 | 2013 | 49 | |
| 11 | 2010 | 51 | |
| 12 | 2009 | 92 | |
| 13 | 2008 | 127 | |
| 14 | 2007 | 127 | |
| 15 | 2006 | 62 | |
| 16 | 2006 | 42 | |
| 17 | 2005 | 117 | |
| 18 | 2005 | 23 | |
| 19 | 2003 | 70 | |
| 20 | Tumor biology: mouse models of colon cancer | 2001 | 1 |
About Matthias P. Wymann
Matthias P. Wymann is a scholar working on Immunology, Immunology and Allergy and Genetics, having authored 138 papers that have together received 14.6k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (49 papers), Protein Kinase Regulation and GTPase Signaling (16 papers), Chronic Lymphocytic Leukemia Research (15 papers), Mast cells and histamine (13 papers), Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (12 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (12 papers) and Cell Adhesion Molecules Research (9 papers). The work is most often cited by research in Immunology (3.9k citations), Immunology and Allergy (960 citations) and Molecular Biology (9.0k citations). Matthias P. Wymann has collaborated with scholars based in Switzerland, Italy and United Kingdom. Frequent co-authors include Luciano Pirola, Alexandre Arcaro, Roger Schneiter, Emilio Hirsch, Romina Marone, Muriel Laffargue, Fiorella Altruda, Marketa Zvelebil, Marco Baggiolini and Roger Williams. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Biochemical Journal, Journal of Medicinal Chemistry and Neuropharmacology.
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.