Fleur Weeber
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- Colorectal Cancer Treatments and Studies
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 6
- Cancer Cells and Metastasis 4
- Lung Cancer Research Studies 1
- Cutaneous Melanoma Detection and Management 1
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- Melanoma and MAPK Pathways 2
- Co-authors
- Emile E. Voest (10 shared papers)Krijn K. Dijkstra (5 shared papers)Salo Ooft (2 shared papers)Oscar Krijgsman (3 shared papers)Daniel S. Peeper (3 shared papers)Thomas Kuilman (3 shared papers)Daphne van der Velden (3 shared papers)Edwin Cuppen (4 shared papers)
- Journals
- Annals of Oncology (2 papers)ESMO Open (1 paper)Cell Reports (1 paper)Nature Biotechnology (1 paper)Frontiers in Endocrinology (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Fleur Weeber
10 papers receiving 1.0k citations
Fleur Weeber's Hit Papers
Peers
Comparison fields: 5 of 70
- Oncology 708
- Cancer Research 294
- Biotechnology 94
- Biomedical Engineering 347
- Modeling and Simulation 35
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 | 394 |
| 2 | 2015 | 358 | |
| 3 | 2015 | 103 | |
| 4 | 2021 | 92 | |
| 5 | 2016 | 42 | |
| 6 | 2021 | 22 | |
| 7 | 2016 | 15 | |
| 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, Molecular Biology, Epidemiology, Physiology and Cancer Research, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Cancer Genomics and Diagnostics (2 papers), Melanoma and MAPK Pathways (2 papers), Neuroendocrine Tumor Research Advances (2 papers), 3D Printing in Biomedical Research (2 papers), Tuberous Sclerosis Complex Research (2 papers), Lung Cancer Research Studies (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Oncology (708 citations), Cancer Research (294 citations), Biotechnology (94 citations), Biomedical Engineering (347 citations) and Modeling and Simulation (35 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, Oscar Krijgsman, Daniel S. Peeper, Thomas Kuilman, Daphne van der Velden, Edwin Cuppen, Robert G. Vries and Marlous Hoogstraat. Their work appears in journals such as Annals of Oncology, ESMO Open, Cell Reports, Nature Biotechnology and Frontiers in Endocrinology.
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.