Daniela Furrer
Impact in
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- HER2/EGFR in Cancer Research
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- Cancer Genomics and Diagnostics
Papers in
- Oncology 13
- HER2/EGFR in Cancer Research 9
- Lung Cancer Research Studies 2
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- Glycosylation and Glycoproteins Research 2
- Co-authors
- Caroline Diorio (11 shared papers)Simon Jacob (11 shared papers)François Sanschagrin (4 shared papers)Louise Provencher (6 shared papers)Chantal Caron (3 shared papers)David Laperrière (1 shared paper)Louis Gaboury (1 shared paper)Muhammad Tahir (1 shared paper)
- Journals
- Anticancer Research (2 papers)The FASEB Journal (2 papers)PLoS ONE (2 papers)The Veterinary Journal (2 papers)American Journal of Clinical Pathology (1 paper)
- Partner nations
- CanadaSwitzerlandEgypt
In The Last Decade
Daniela Furrer
22 papers receiving 364 citations
Peers
Comparison fields: 5 of 81
- Oncology 117
- Cancer Research 49
- Radiology, Nuclear Medicine and Imaging 63
- Biophysics 14
- Reproductive Medicine 15
Countries citing papers authored by Daniela Furrer
This map shows the geographic impact of Daniela Furrer'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 Daniela Furrer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Furrer more than expected).
Fields of papers citing papers by Daniela Furrer
This network shows the impact of papers produced by Daniela Furrer. 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 Daniela Furrer. The network helps show where Daniela Furrer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Furrer, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 68 | |
| 2 | 2017 | 65 | |
| 3 | 2013 | 36 | |
| 4 | 2018 | 29 | |
| 5 | 2020 | 21 | |
| 6 | 2019 | 20 | |
| 7 | 2017 | 17 | |
| 8 | 2021 | 16 | |
| 9 | 2010 | 15 | |
| 10 | 2009 | 14 | |
| 11 | 2019 | 13 | |
| 12 | 2021 | 11 | |
| 13 | 2016 | 11 | |
| 14 | 2017 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2009 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2021 | 3 | |
| 19 | 2022 | 3 | |
| 20 | Validation of EP1 Antibody Clone for Estrogen Receptor Immunohistochemistry for Breast Cancer. | 2016 | 3 |
About Daniela Furrer
Daniela Furrer is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pharmacology and Physiology, having authored 23 papers that have together received 374 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (9 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cannabis and Cannabinoid Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Diabetes Treatment and Management (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Lung Cancer Research Studies (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Oncology (117 citations), Cancer Research (49 citations), Radiology, Nuclear Medicine and Imaging (63 citations), Biophysics (14 citations) and Reproductive Medicine (15 citations). Daniela Furrer has collaborated with scholars based in Canada, Switzerland and Egypt. Frequent co-authors include Caroline Diorio, Simon Jacob, François Sanschagrin, Louise Provencher, Chantal Caron, David Laperrière, Louis Gaboury, Muhammad Tahir, Einas Yousef and Sylvie Mader. Their work appears in journals such as Anticancer Research, The FASEB Journal, PLoS ONE, The Veterinary Journal and American Journal of Clinical Pathology.
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.