Max Kauer
Impact in
- Genetics top 5%
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Insect Science top 10%
Papers in
- Genetics 4
- Genetic diversity and population structure 4
- Evolution and Genetic Dynamics 2
- Co-authors
- Christian Schlötterer (5 shared papers)Daniel Dieringer (3 shared papers)Bettina Harr (1 shared paper)Barbara Zangerl (1 shared paper)Janet L. Yen (1 shared paper)Francesco Catania (1 shared paper)Phillip J. Daborn (1 shared paper)Richard H. ffrench‐Constant (1 shared paper)
- Journals
- Cancer Research (3 papers)Genetics (2 papers)Leukemia (2 papers)Clinical Cancer Research (1 paper)Blood (1 paper)
- Partner nations
- AustriaUnited StatesUnited Kingdom
In The Last Decade
Max Kauer
14 papers receiving 864 citations
Peers
Comparison fields: 5 of 73
- Genetics 414
- Insect Science 95
- Hematology 58
- Ecology, Evolution, Behavior and Systematics 99
- Molecular Biology 301
Countries citing papers authored by Max Kauer
This map shows the geographic impact of Max Kauer'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 Max Kauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Kauer more than expected).
Fields of papers citing papers by Max Kauer
This network shows the impact of papers produced by Max Kauer. 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 Max Kauer. The network helps show where Max Kauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Kauer, 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 | 2002 | 165 | |
| 2 | 2003 | 164 | |
| 3 | 2004 | 119 | |
| 4 | 2002 | 91 | |
| 5 | 2008 | 83 | |
| 6 | 2012 | 73 | |
| 7 | 2014 | 61 | |
| 8 | 2011 | 42 | |
| 9 | 2008 | 32 | |
| 10 | 2013 | 32 | |
| 11 | 2022 | 19 | |
| 12 | 2004 | 19 | |
| 13 | Hutter C, Kauer M, Simonitsch-Klupp I et al.Notch is active in Langerhans cell histiocytosis and confers pathognomonic features on dendritic cells. Blood 120:5199-5208 | 2012 | 4 |
| 14 | Abstract #247: HIF-1\#945; mediates hypoxia modulation of EWS-FLI1 expression in Ewing\#8217;s sarcoma family tumors | 2009 | 1 |
About Max Kauer
Max Kauer is a scholar working on Molecular Biology, Genetics, Hematology, Immunology and Oncology, having authored 14 papers that have together received 905 indexed citations. Recurring topics across this work include Genetic diversity and population structure (4 papers), Cancer-related Molecular Pathways (2 papers), Evolution and Genetic Dynamics (2 papers), Histiocytic Disorders and Treatments (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Mast cells and histamine (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and Genetic and Environmental Crop Studies (1 paper). The work is most often cited by research in Genetics (414 citations), Insect Science (95 citations), Hematology (58 citations), Ecology, Evolution, Behavior and Systematics (99 citations) and Molecular Biology (301 citations). Max Kauer has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Christian Schlötterer, Daniel Dieringer, Bettina Harr, Barbara Zangerl, Janet L. Yen, Francesco Catania, Phillip J. Daborn, Richard H. ffrench‐Constant, Heinrich Kovar and Raphaela Schwentner. Their work appears in journals such as Cancer Research, Genetics, Leukemia, Clinical Cancer Research and Blood.
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.