Peter Hau
- Genetics top 0.02%
- Glioma Diagnosis and Treatment 125
- Cancer Research top 0.2%
- Cancer, Hypoxia, and Metabolism 29
- Oncology top 0.5%
- Cancer Cells and Metastasis 15
- Molecular Biology top 1%
- Histone Deacetylase Inhibitors Research 13
- TGF-β signaling in diseases 12
- Metabolism, Diabetes, and Cancer 9
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- Brain Metastases and Treatment 34
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- Radiomics and Machine Learning in Medical Imaging 19
- Co-authors
- Michael WellerRoger StuppThierry GorliaMonika E. HegiR.O. MirimanoffJohan M. KrosJacoline E. C. BrombergRobert C. Janzer
- Cited by
- GeneticsCancer ResearchOncology
- Journals
- Journal of Clinical Oncology (26 papers)Neuro-Oncology (21 papers)Journal of Neuro-Oncology (16 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Peter Hau
184 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Genetics 6.9k
- Cancer Research 3.2k
- Oncology 2.8k
- Molecular Biology 5.1k
- Pulmonary and Respiratory Medicine 2.2k
Countries citing papers authored by Peter Hau
This map shows the geographic impact of Peter Hau'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 Peter Hau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Hau more than expected).
Fields of papers citing papers by Peter Hau
This network shows the impact of papers produced by Peter Hau. 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 Peter Hau. The network helps show where Peter Hau may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Hau, 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 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 11 | |
| 10 | 2021 | 5 | |
| 11 | 2020 | 10 | |
| 12 | 2020 | 12 | |
| 13 | 2017 | 21 | |
| 14 | 2017 | 13 | |
| 15 | 2017 | 10 | |
| 16 | 2013 | 11 | |
| 17 | 2011 | 15 | |
| 18 | 2008 | 232 | |
| 19 | CD133+ and CD133− Glioblastoma-Derived Cancer Stem Cells Show Differential Growth Characteristics and Molecular Profilesbreakdown → | 2007 | 876 |
| 20 | MGMT Gene Silencing and Benefit from Temozolomide in Glioblastomabreakdown → | 2005 | 5232 |
About Peter Hau
Peter Hau is a scholar working on Genetics, Cancer Research and Oncology, having authored 189 papers that have together received 11.9k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (125 papers), Brain Metastases and Treatment (34 papers), Cancer, Hypoxia, and Metabolism (29 papers), Radiomics and Machine Learning in Medical Imaging (19 papers), Cancer Cells and Metastasis (15 papers), Histone Deacetylase Inhibitors Research (13 papers), TGF-β signaling in diseases (12 papers) and Metabolism, Diabetes, and Cancer (9 papers). The work is most often cited by research in Genetics (6.9k citations), Cancer Research (3.2k citations) and Oncology (2.8k citations). Peter Hau has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Michael Weller, Roger Stupp, Thierry Gorlia, Monika E. Hegi, R.O. Mirimanoff, Johan M. Kros, Jacoline E. C. Bromberg, Robert C. Janzer, J. Gregory Cairncross and Marie‐France Hamou. Their work appears in journals such as Journal of Clinical Oncology, Neuro-Oncology, Journal of Neuro-Oncology, Cancers and PLoS ONE.
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.