Birgit Schoeberl
- Oncology top 2%
- HER2/EGFR in Cancer Research 18
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 7
- PI3K/AKT/mTOR signaling in cancer 7
- Gene Regulatory Network Analysis 6
- Viral Infectious Diseases and Gene Expression in Insects 4
- Bioinformatics and Genomic Networks 4
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- Monoclonal and Polyclonal Antibodies Research 16
- Modeling and Simulation top 2%
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- Computational Drug Discovery Methods 9
- Co-authors
- Ulrik B. NielsenClaudia Eichler-JonssonErnst Dieter GillesGertraud MüllerPeter K. SorgerJonathan B. FitzgeraldMario NiepelBrian D. Harms
- Journals
- Cancer Research (8 papers)Science Signaling (3 papers)Molecular Cancer Therapeutics (3 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Birgit Schoeberl
41 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Oncology 1.1k
- Molecular Biology 2.4k
- Radiology, Nuclear Medicine and Imaging 785
- Modeling and Simulation 151
- Computational Theory and Mathematics 503
Countries citing papers authored by Birgit Schoeberl
This map shows the geographic impact of Birgit Schoeberl'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 Birgit Schoeberl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Birgit Schoeberl more than expected).
Fields of papers citing papers by Birgit Schoeberl
This network shows the impact of papers produced by Birgit Schoeberl. 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 Birgit Schoeberl. The network helps show where Birgit Schoeberl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Birgit Schoeberl, 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 | 2023 | 13 | |
| 2 | 2020 | 10 | |
| 3 | 2018 | 44 | |
| 4 | 2018 | 19 | |
| 5 | 2014 | 32 | |
| 6 | 2013 | 87 | |
| 7 | 2013 | 2 | |
| 8 | 2013 | 6 | |
| 9 | 2013 | 21 | |
| 10 | 2012 | 54 | |
| 11 | 2012 | 222 | |
| 12 | 2012 | 14 | |
| 13 | 2011 | 22 | |
| 14 | 2010 | 215 | |
| 15 | 2010 | 178 | |
| 16 | 2009 | 276 | |
| 17 | 2006 | 7 | |
| 18 | 2006 | 439 | |
| 19 | 2005 | 148 | |
| 20 | Computational modeling of the dynamics of the MAP kinase cascade activated by surface and internalized EGF receptorsbreakdown → | 2002 | 726 |
About Birgit Schoeberl
Birgit Schoeberl is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics, having authored 44 papers that have together received 3.3k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (18 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), Computational Drug Discovery Methods (9 papers), Glycosylation and Glycoproteins Research (7 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Gene Regulatory Network Analysis (6 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Oncology (1.1k citations), Molecular Biology (2.4k citations) and Radiology, Nuclear Medicine and Imaging (785 citations). Birgit Schoeberl has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Ulrik B. Nielsen, Claudia Eichler-Jonsson, Ernst Dieter Gilles, Gertraud Müller, Peter K. Sorger, Jonathan B. Fitzgerald, Mario Niepel, Brian D. Harms, Neeraj Kohli and Paul Jasper. Their work appears in journals such as Cancer Research, Science Signaling, Molecular Cancer Therapeutics, Osteoarthritis and Cartilage and PLoS Computational 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.