Fleur Weeber

6.2k total citations · 1 hit paper
10 papers, 1.0k citations indexed

About

Fleur Weeber is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Fleur Weeber has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 4 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Fleur Weeber's work include Cancer Genomics and Diagnostics (4 papers), Cancer Cells and Metastasis (4 papers) and Tuberous Sclerosis Complex Research (2 papers). Fleur Weeber is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Cancer Cells and Metastasis (4 papers) and Tuberous Sclerosis Complex Research (2 papers). Fleur Weeber collaborates with scholars based in Netherlands, United Kingdom and United States. Fleur Weeber's co-authors include Emile E. Voest, Krijn K. Dijkstra, Salo Ooft, Daniel S. Peeper, Oscar Krijgsman, Thomas Kuilman, Daphne van der Velden, Edwin Cuppen, Christa G.M. Gadellaa-van Hooijdonk and Robert G. Vries and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Annals of Oncology.

In The Last Decade

Fleur Weeber

10 papers receiving 991 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tumor Organoids as a Pre-clinical Cancer Model for Drug Discovery

2017 381 citations Fleur Weeber, Salo Ooft et al. Cell chemical biology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fleur Weeber Netherlands	7	724	354	317	306	105	10	1.0k
Daphne van der Velden Netherlands	9	701 1.0×	213 0.6×	322 1.0×	314 1.0×	139 1.3×	20	955
Sandro Nuciforo Switzerland	13	366 0.5×	307 0.9×	236 0.7×	389 1.3×	87 0.8×	17	1.0k
Marta Tellez Gabriel France	17	606 0.8×	199 0.6×	577 1.8×	612 2.0×	253 2.4×	22	1.3k
Salo Ooft Netherlands	4	386 0.5×	195 0.6×	186 0.6×	201 0.7×	83 0.8×	5	605
Ina Kurth Germany	18	544 0.8×	140 0.4×	400 1.3×	600 2.0×	240 2.3×	38	1.2k
Natalia Bednarz‐Knoll Poland	16	481 0.7×	117 0.3×	344 1.1×	280 0.9×	209 2.0×	28	800
Zhaomei Mu United States	22	752 1.0×	176 0.5×	605 1.9×	577 1.9×	304 2.9×	43	1.3k
Marlous Hoogstraat Netherlands	14	671 0.9×	172 0.5×	520 1.6×	638 2.1×	154 1.5×	25	1.5k
Sara J. Adair United States	15	393 0.5×	187 0.5×	182 0.6×	474 1.5×	53 0.5×	32	972
Julia Landin Switzerland	5	1.0k 1.4×	256 0.7×	632 2.0×	520 1.7×	203 1.9×	7	1.5k

Countries citing papers authored by Fleur Weeber

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Fleur Weeber

This figure shows the co-authorship network connecting the top 25 collaborators of Fleur Weeber. A scholar is included among the top collaborators of Fleur Weeber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fleur Weeber. Fleur Weeber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Ooft, Salo, Fleur Weeber, Luuk J. Schipper, et al.. (2021). Prospective experimental treatment of colorectal cancer patients based on organoid drug responses. ESMO Open. 6(3). 100103–100103. 89 indexed citations

2.

Dijkstra, Krijn K., José G. van den Berg, Fleur Weeber, et al.. (2021). Patient-Derived Organoid Models of Human Neuroendocrine Carcinoma. Frontiers in Endocrinology. 12. 627819–627819. 21 indexed citations

3.

Chalabi, Myriam, Monique E. van Leerdam, Arend G. J. Aalbers, et al.. (2017). Nivolumab, ipilimumab and COX2-inhibition in early stage colon cancer. Annals of Oncology. 28. v207–v207. 1 indexed citations

4.

Weeber, Fleur, Salo Ooft, Krijn K. Dijkstra, & Emile E. Voest. (2017). Tumor Organoids as a Pre-clinical Cancer Model for Drug Discovery. Cell chemical biology. 24(9). 1092–1100. 381 indexed citations breakdown →

5.

Weeber, Fleur, Sander Bins, Christa G.M. Gadellaa-van Hooijdonk, et al.. (2016). The time to progression ratio: a new individualized volumetric parameter for the early detection of clinical benefit of targeted therapies. Annals of Oncology. 27(8). 1638–1643. 14 indexed citations

6.

Kemper, Kristel, Oscar Krijgsman, Xiangjun Kong, et al.. (2016). BRAFV600E Kinase Domain Duplication Identified in Therapy-Refractory Melanoma Patient-Derived Xenografts. Cell Reports. 16(1). 263–277. 41 indexed citations

7.

Kemper, Kristel, Oscar Krijgsman, Paulien Cornelissen‐Steijger, et al.. (2015). Intra‐ and inter‐tumor heterogeneity in a vemurafenib‐resistant melanoma patient and derived xenografts. EMBO Molecular Medicine. 7(9). 1104–1118. 103 indexed citations

8.

Weeber, Fleur, Marco J. Koudijs, Marlous Hoogstraat, et al.. (2015). Effective Therapeutic Intervention and Comprehensive Genetic Analysis of mTOR Signaling in PEComa : A Case Report. Nature Biotechnology. 35(6). 1 indexed citations

9.

Weeber, Fleur, Marco J. Koudijs, Marlous Hoogstraat, et al.. (2015). Effective Therapeutic Intervention and Comprehensive Genetic Analysis of mTOR Signaling in PEComa: A Case Report.. PubMed. 35(6). 3399–403. 3 indexed citations

10.

Weeber, Fleur, Marc van de Wetering, Marlous Hoogstraat, et al.. (2015). Preserved genetic diversity in organoids cultured from biopsies of human colorectal cancer metastases. Proceedings of the National Academy of Sciences. 112(43). 13308–13311. 349 indexed citations

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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