Fleur Weeber
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Treatments and Studies
- Pancreatic and Hepatic Oncology Research
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 7
- Cancer Cells and Metastasis 4
- Colorectal Cancer Treatments and Studies 2
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- Cancer Genomics and Diagnostics 4
- Co-authors
- Emile E. Voest (10 shared papers)Krijn K. Dijkstra (5 shared papers)Salo Ooft (2 shared papers)Thomas Kuilman (3 shared papers)Daniel S. Peeper (3 shared papers)Oscar Krijgsman (3 shared papers)Daphne van der Velden (3 shared papers)Edwin Cuppen (4 shared papers)
- Journals
- Annals of Oncology (2 papers)Frontiers in Endocrinology (1 paper)ESMO Open (1 paper)Cell chemical biology (1 paper)EMBO Molecular Medicine (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Fleur Weeber
10 papers receiving 991 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Oncology 724
- Cancer Research 317
- Biotechnology 98
- Biomedical Engineering 354
- Modeling and Simulation 36
Countries citing papers authored by Fleur Weeber
This map shows the geographic impact of Fleur Weeber'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 Fleur Weeber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fleur Weeber more than expected).
Fields of papers citing papers by Fleur Weeber
This network shows the impact of papers produced by Fleur Weeber. 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 Fleur Weeber. The network helps show where Fleur Weeber may publish in the future.
Co-authors
The 25 scholars most cited alongside Fleur Weeber, 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 | Tumor Organoids as a Pre-clinical Cancer Model for Drug Discovery Hit paper breakdown → | 2017 | 381 |
| 2 | 2015 | 349 | |
| 3 | 2015 | 103 | |
| 4 | 2021 | 89 | |
| 5 | 2016 | 41 | |
| 6 | 2021 | 21 | |
| 7 | 2016 | 14 | |
| 8 | Effective Therapeutic Intervention and Comprehensive Genetic Analysis of mTOR Signaling in PEComa: A Case Report. | 2015 | 3 |
| 9 | Effective Therapeutic Intervention and Comprehensive Genetic Analysis of mTOR Signaling in PEComa : A Case Report | 2015 | 1 |
| 10 | 2017 | 1 |
About Fleur Weeber
Fleur Weeber is a scholar working on Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Cancer Cells and Metastasis (4 papers), Colorectal Cancer Treatments and Studies (2 papers), Melanoma and MAPK Pathways (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Tuberous Sclerosis Complex Research (2 papers), 3D Printing in Biomedical Research (2 papers) and Cellular Mechanics and Interactions (1 paper). The work is most often cited by research in Oncology (724 citations), Cancer Research (317 citations), Biotechnology (98 citations), Biomedical Engineering (354 citations) and Modeling and Simulation (36 citations). Fleur Weeber has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Emile E. Voest, Krijn K. Dijkstra, Salo Ooft, Thomas Kuilman, Daniel S. Peeper, Oscar Krijgsman, Daphne van der Velden, Edwin Cuppen, Christa G.M. Gadellaa-van Hooijdonk and Marlous Hoogstraat. Their work appears in journals such as Annals of Oncology, Frontiers in Endocrinology, ESMO Open, Cell chemical biology and EMBO Molecular 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.