Falk Schubert
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 4
- Oncology top 5%
- Cancer Cells and Metastasis 3
- Molecular Biology top 5%
- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 4
- Genomics and Chromatin Dynamics 4
- Fungal and yeast genetics research 3
- Biotechnology top 5%
- Genetics top 10%
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- Radar Systems and Signal Processing 5
- Advanced SAR Imaging Techniques 4
- Co-authors
- Roland EilsJürg BählerStephen WattSamuel MargueratChristoph A. KleinManfred MeyerValerie WoodIan Goodhead
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Falk Schubert
26 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Cancer Research 754
- Oncology 915
- Molecular Biology 1.6k
- Biotechnology 96
- Genetics 255
Countries citing papers authored by Falk Schubert
This map shows the geographic impact of Falk Schubert'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 Falk Schubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Falk Schubert more than expected).
Fields of papers citing papers by Falk Schubert
This network shows the impact of papers produced by Falk Schubert. 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 Falk Schubert. The network helps show where Falk Schubert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Falk Schubert, 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 | 10 | |
| 2 | 2019 | 0 | |
| 3 | 2015 | 51 | |
| 4 | 2014 | 8 | |
| 5 | 2012 | 14 | |
| 6 | 2012 | 1 | |
| 7 | 2009 | 32 | |
| 8 | Dynamic repertoire of a eukaryotic transcriptome surveyed at single-nucleotide resolutionbreakdown → | 2008 | 760 |
| 9 | Systemic Spread Is an Early Step in Breast Cancerbreakdown → | 2008 | 903 |
| 10 | 2007 | 167 | |
| 11 | 2007 | 67 | |
| 12 | 2006 | 38 | |
| 13 | 2005 | 40 | |
| 14 | 2005 | 2 | |
| 15 | 2005 | 183 | |
| 16 | 2005 | 37 | |
| 17 | 2004 | 58 | |
| 18 | Understanding the classification of tumors with a support-vector-machine: A case-based explanation scheme. | 2003 | 1 |
| 19 | 2003 | 8 | |
| 20 | 2002 | 37 |
About Falk Schubert
Falk Schubert is a scholar working on Cancer Research, Aerospace Engineering, Molecular Biology, Biophysics and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 2.7k indexed citations. Recurring topics across this work include Radar Systems and Signal Processing (5 papers), Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (4 papers), Advanced SAR Imaging Techniques (4 papers), Cancer Genomics and Diagnostics (4 papers), Genomics and Chromatin Dynamics (4 papers), Cancer Cells and Metastasis (3 papers) and Fungal and yeast genetics research (3 papers). The work is most often cited by research in Cancer Research (754 citations), Oncology (915 citations), Molecular Biology (1.6k citations), Biotechnology (96 citations) and Genetics (255 citations). Falk Schubert has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Roland Eils, Jürg Bähler, Stephen Watt, Samuel Marguerat, Christoph A. Klein, Manfred Meyer, Valerie Wood, Ian Goodhead, Brian T. Wilhelm and Jane Rogers. Their work appears in journals such as BMC Bioinformatics, Cancer Cell, Clinical Cancer Research, IEEE Transactions on Microwave Theory and Techniques and European Journal of Medical Genetics.
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.