Birgit Schoeberl

4.7k citations
44 papers · 3.3k indexed · 1 hit paper · h-index 21

Birgit Schoeberl

41 papers receiving 3.2k citations

Hit Papers

Computational modeling of the dynamics of the MAP kinase ...7262002202620102018200400600

Peers

Birgit Schoeberl
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
Replace Mario Niepel with:
Mario Niepel United States
Richard M. Neve United States
Richard G. Posner United States
Sreenath V. Sharma United States
John G. Moffat United States
Marc R. Birtwistle United States
Rachel Karchin United States
Christine A. Pratilas United States
Susan L. Holbeck United States
Enrico Pesenti Italy
Birgit Schoeberl relative to Mario Niepel United States Mario Niepel's profile →
Citations per field
00.5×7.3×
Mario Niepel · 1×
Citations per year

Countries citing papers authored by Birgit Schoeberl

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Birgit Schoeberl Line = papers co-authored together Birgit Schoeberl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202313
2 202010
3 201844
4 201819
5 201432
6 201387
7 20132
8 20136
9 201321
10 201254
11 2012222
12 201214
13 201122
14 2010215
15 2010178
16 2009276
17 20067
18 2006439
19 2005148
20
Computational modeling of the dynamics of the MAP kinase cascade activated by surface and internalized EGF receptorsbreakdown →
2002726

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.

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