Matthias Mayerhofer
- Hematology top 1%
- Chronic Myeloid Leukemia Treatments 27
- Acute Myeloid Leukemia Research 11
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 9
- Myeloproliferative Neoplasms: Diagnosis and Treatment 6
- Immunology top 2%
- Mast cells and histamine 38
- Rheumatology top 1%
- Eosinophilic Disorders and Syndromes 22
- Immunology and Allergy top 2%
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- PI3K/AKT/mTOR signaling in cancer 8
- Polyamine Metabolism and Applications 8
- Co-authors
- Peter ValentChristian SillaberWolfgang R. SperrKarl J. AichbergerWinfried F. PicklKaroline V. GleixnerSabine Cerny‐ReitererGregor Hoermann
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Matthias Mayerhofer
75 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 107
- Hematology 1.1k
- Genetics 820
- Immunology 1.3k
- Rheumatology 814
- Immunology and Allergy 242
Countries citing papers authored by Matthias Mayerhofer
This map shows the geographic impact of Matthias Mayerhofer'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 Mayerhofer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Mayerhofer more than expected).
Fields of papers citing papers by Matthias Mayerhofer
This network shows the impact of papers produced by Matthias Mayerhofer. 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 Mayerhofer. The network helps show where Matthias Mayerhofer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthias Mayerhofer, 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 | 2020 | 11 | |
| 2 | 2019 | 19 | |
| 3 | 2017 | 1 | |
| 4 | 2014 | 23 | |
| 5 | 2014 | 166 | |
| 6 | 2013 | 9 | |
| 7 | 2012 | 44 | |
| 8 | 2012 | 26 | |
| 9 | 2011 | 33 | |
| 10 | 2010 | 74 | |
| 11 | 2010 | 46 | |
| 12 | 2009 | 60 | |
| 13 | 2009 | 22 | |
| 14 | 2008 | 58 | |
| 15 | 2007 | 31 | |
| 16 | 2007 | 20 | |
| 17 | 2006 | 14 | |
| 18 | 2006 | 34 | |
| 19 | 2005 | 25 | |
| 20 | 2004 | 146 |
About Matthias Mayerhofer
Matthias Mayerhofer is a scholar working on Hematology, Immunology and Genetics, having authored 75 papers that have together received 3.2k indexed citations. Recurring topics across this work include Mast cells and histamine (38 papers), Chronic Myeloid Leukemia Treatments (27 papers), Eosinophilic Disorders and Syndromes (22 papers), Acute Myeloid Leukemia Research (11 papers), Chronic Lymphocytic Leukemia Research (9 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Polyamine Metabolism and Applications (8 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers). The work is most often cited by research in Hematology (1.1k citations), Genetics (820 citations) and Immunology (1.3k citations). Matthias Mayerhofer has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Peter Valent, Christian Sillaber, Wolfgang R. Sperr, Karl J. Aichberger, Winfried F. Pickl, Karoline V. Gleixner, Sabine Cerny‐Reiterer, Gregor Hoermann, Alexander Gruze and Karoline Sonneck. Their work appears in journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.
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.