Patrick Warnat
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Neurology top 5%
- Neuroblastoma Research and Treatments
Papers in
-
- Protein Degradation and Inhibitors 3
- Gene expression and cancer classification 3
- Single-cell and spatial transcriptomics 1
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- Neuroblastoma Research and Treatments 6
- Co-authors
- Roland Eils (8 shared papers)Benedikt Brors (9 shared papers)Matthias Fischer (4 shared papers)André Oberthuer (4 shared papers)Yvonne Kahlert (3 shared papers)Barbara Hero (3 shared papers)Frank Berthold (4 shared papers)Nathalie Daigle (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)Clinical Cancer Research (1 paper)Cancer Letters (1 paper)BMC Bioinformatics (1 paper)BMC Cancer (1 paper)
- Partner nations
- GermanyUnited Kingdom
In The Last Decade
Patrick Warnat
9 papers receiving 824 citations
Peers
Comparison fields: 5 of 72
- Biophysics 132
- Neurology 288
- Cancer Research 274
- Molecular Biology 581
- Oncology 139
Countries citing papers authored by Patrick Warnat
This map shows the geographic impact of Patrick Warnat'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 Patrick Warnat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Warnat more than expected).
Fields of papers citing papers by Patrick Warnat
This network shows the impact of papers produced by Patrick Warnat. 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 Patrick Warnat. The network helps show where Patrick Warnat may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Warnat, 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 | 2006 | 198 | |
| 2 | 2004 | 166 | |
| 3 | 2005 | 162 | |
| 4 | 2006 | 144 | |
| 5 | 2005 | 88 | |
| 6 | 2006 | 46 | |
| 7 | 2007 | 26 | |
| 8 | 2006 | 20 | |
| 9 | 2004 | 1 | |
| 10 | Automatic Unit Testing of SAS Programs with SASUnit | 2008 | 1 |
| 11 | 2005 | 0 |
About Patrick Warnat
Patrick Warnat is a scholar working on Molecular Biology, Neurology, Cancer Research, Oncology and Computer Networks and Communications, having authored 11 papers that have together received 852 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (6 papers), Protein Degradation and Inhibitors (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Gene expression and cancer classification (3 papers), Breast Cancer Treatment Studies (2 papers), Lung Cancer Research Studies (2 papers), Single-cell and spatial transcriptomics (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Biophysics (132 citations), Neurology (288 citations), Cancer Research (274 citations), Molecular Biology (581 citations) and Oncology (139 citations). Patrick Warnat has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Roland Eils, Benedikt Brors, Matthias Fischer, André Oberthuer, Yvonne Kahlert, Barbara Hero, Frank Berthold, Nathalie Daigle, Jan Ellenberg and Christian Conrad. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Cancer Letters, BMC Bioinformatics and BMC Cancer.
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.