Daniela Furrer

486 citations
22 papers · 320 indexed · h-index 12

Impact in

    • HER2/EGFR in Cancer Research
    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies

Papers in

Daniela Furrer

21 papers receiving 312 citations

Peers

Daniela Furrer
Comparison fields: 5 of 83
  • Oncology 121
  • Cancer Research 59
  • Radiology, Nuclear Medicine and Imaging 78
  • Biophysics 16
  • Reproductive Medicine 17
Replace Jun-Ye Liu with:
Jun-Ye Liu China
Beate Rautenberg Germany
R. Lieverse Netherlands
Yoshiyuki Kinoshita Japan
Herbert Archer United States
Furkan Sarici Türkiye
Borbala Katona Sweden
Thiruvamoor Ramkumar United States
E. van der Ploeg Netherlands
Llana Pootrakul United States
Daniela Furrer relative to Jun-Ye Liu China Jun-Ye Liu's profile →
Citations per field
00.5×2.5×
Jun-Ye Liu · 1×
Citations per year

Countries citing papers authored by Daniela Furrer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201764
2 201559
3 201331
4 202021
5 201918
6 201716
7 202115
8 201014
9 200914
10 201912
11 202111
12 201611
13 20178
14 20166
15 20095
16 20215
17 20213
18
Validation of EP1 Antibody Clone for Estrogen Receptor Immunohistochemistry for Breast Cancer.
20163
19 20222
20 20191

About Daniela Furrer

Daniela Furrer is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Geriatrics and Gerontology, Health and Reproductive Medicine, having authored 22 papers that have together received 320 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Pancreatic function and diabetes (3 papers), Cannabis and Cannabinoid Research (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Lung Cancer Research Studies (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Oncology (121 citations), Cancer Research (59 citations), Radiology, Nuclear Medicine and Imaging (78 citations), Biophysics (16 citations) and Reproductive Medicine (17 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, Einas Yousef, Louis Gaboury, Muhammad Tahir, David Laperrière, Sylvie Mader and Chantal Caron. Their work appears in journals such as Anticancer Research, The Veterinary Journal, The FASEB Journal, PLoS ONE and Journal of Personalized Medicine.

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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