Bianca Behrens
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 15
- Cancer Cells and Metastasis 12
- Cancer Immunotherapy and Biomarkers 2
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- Cancer Genomics and Diagnostics 13
- Co-authors
- Nikolas H. Stoecklein (15 shared papers)Dieter Niederacher (5 shared papers)Tanja Fehm (9 shared papers)Hans Neubauer (6 shared papers)Wolfram Trudo Knoefel (7 shared papers)Katharina Raba (6 shared papers)Gunnar Steinert (1 shared paper)Sebastian Schölch (1 shared paper)
- Journals
- Scientific Reports (2 papers)Clinical Chemistry (2 papers)PLoS ONE (2 papers)Cancer Research (2 papers)Molecular Oncology (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Bianca Behrens
20 papers receiving 594 citations
Peers
Comparison fields: 5 of 58
- Cancer Research 325
- Oncology 407
- Biotechnology 38
- Immunology 66
- Molecular Biology 208
Countries citing papers authored by Bianca Behrens
This map shows the geographic impact of Bianca Behrens'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 Bianca Behrens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bianca Behrens more than expected).
Fields of papers citing papers by Bianca Behrens
This network shows the impact of papers produced by Bianca Behrens. 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 Bianca Behrens. The network helps show where Bianca Behrens may publish in the future.
Co-authors
The 25 scholars most cited alongside Bianca Behrens, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 194 | |
| 2 | 2015 | 79 | |
| 3 | 2017 | 68 | |
| 4 | 2014 | 64 | |
| 5 | 2019 | 38 | |
| 6 | 2013 | 33 | |
| 7 | 2019 | 32 | |
| 8 | 2020 | 19 | |
| 9 | 2014 | 17 | |
| 10 | 2017 | 13 | |
| 11 | 2020 | 11 | |
| 12 | 2001 | 11 | |
| 13 | 2017 | 7 | |
| 14 | 2021 | 4 | |
| 15 | 2025 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2020 | 1 |
About Bianca Behrens
Bianca Behrens is a scholar working on Oncology, Cancer Research, Molecular Biology, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 598 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (13 papers), Cancer Cells and Metastasis (12 papers), Single-cell and spatial transcriptomics (5 papers), Microfluidic and Bio-sensing Technologies (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Epigenetics and DNA Methylation (2 papers) and Head and Neck Cancer Studies (2 papers). The work is most often cited by research in Cancer Research (325 citations), Oncology (407 citations), Biotechnology (38 citations), Immunology (66 citations) and Molecular Biology (208 citations). Bianca Behrens has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Nikolas H. Stoecklein, Dieter Niederacher, Tanja Fehm, Hans Neubauer, Wolfram Trudo Knoefel, Katharina Raba, Gunnar Steinert, Sebastian Schölch, Matthias Kloor and Jürgen Weitz. Their work appears in journals such as Scientific Reports, Clinical Chemistry, PLoS ONE, Cancer Research and Molecular Oncology.
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.