George Hausmann
Impact in
- Molecular Biology top 2%
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- Cell death mechanisms and regulation
- RNA Research and Splicing
- Aging top 2%
Papers in
- Aging 1
-
- Wnt/β-catenin signaling in development and cancer 19
- Cancer-related gene regulation 13
- Hedgehog Signaling Pathway Studies 4
- Cell death mechanisms and regulation 4
- Epigenetics and DNA Methylation 3
- RNA Interference and Gene Delivery 3
- Co-authors
- Konrad BaslerTomáš ValentaChristian MosimannDavide SoldiniPeder ZipperlenCorina SchüttPatrick HerrBahar Değirmenci
- Journals
- Mechanisms of Development (3 papers)PLoS Biology (3 papers)The Journal of Cell Biology (2 papers)Cell Reports (2 papers)Nature Reviews Molecular Cell Biology (2 papers)
- Partner nations
- SwitzerlandAustraliaCzechia
In The Last Decade
George Hausmann
36 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 3.8k
- Aging 92
- Oncology 1.3k
- Cell Biology 638
- Immunology 669
Countries citing papers authored by George Hausmann
This map shows the geographic impact of George Hausmann'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 George Hausmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Hausmann more than expected).
Fields of papers citing papers by George Hausmann
This network shows the impact of papers produced by George Hausmann. 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 George Hausmann. The network helps show where George Hausmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside George Hausmann, 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 | 2021 | 28 | |
| 2 | 2021 | 5 | |
| 3 | 2021 | 17 | |
| 4 | 2020 | 33 | |
| 5 | 2020 | 58 | |
| 6 | 2018 | 9 | |
| 7 | 2018 | 33 | |
| 8 | 2018 | 274 | |
| 9 | 2018 | 25 | |
| 10 | 2014 | 29 | |
| 11 | 2013 | 26 | |
| 12 | 2012 | 134 | |
| 13 | 2011 | 75 | |
| 14 | 2009 | 452 | |
| 15 | 2009 | 43 | |
| 16 | 2008 | 88 | |
| 17 | 2008 | 219 | |
| 18 | 2006 | 250 | |
| 19 | 2001 | 87 | |
| 20 | 1999 | 30 |
About George Hausmann
George Hausmann is a scholar working on Aging, Molecular Biology, Oncology, Cell Biology and Genetics, having authored 37 papers that have together received 5.1k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (19 papers), Cancer-related gene regulation (13 papers), Cancer Cells and Metastasis (8 papers), Hedgehog Signaling Pathway Studies (4 papers), Cell death mechanisms and regulation (4 papers), Epigenetics and DNA Methylation (3 papers), RNA Interference and Gene Delivery (3 papers) and Digestive system and related health (3 papers). The work is most often cited by research in Molecular Biology (3.8k citations), Aging (92 citations), Oncology (1.3k citations), Cell Biology (638 citations) and Immunology (669 citations). George Hausmann has collaborated with scholars based in Switzerland, Australia and Czechia. Frequent co-authors include Konrad Basler, Tomáš Valenta, Christian Mosimann, Davide Soldini, Peder Zipperlen, Corina Schütt, Patrick Herr, Bahar Değirmenci, Fillip Port and Slavica Dimitrieva. Their work appears in journals such as Mechanisms of Development, PLoS Biology, The Journal of Cell Biology, Cell Reports and Nature Reviews Molecular Cell Biology.
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.