Renée Beekman

3.9k total citations · 1 hit paper
20 papers, 1.1k citations indexed

About

Renée Beekman is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Renée Beekman has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Hematology. Recurrent topics in Renée Beekman's work include Acute Myeloid Leukemia Research (4 papers), Epigenetics and DNA Methylation (4 papers) and Blood disorders and treatments (4 papers). Renée Beekman is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Epigenetics and DNA Methylation (4 papers) and Blood disorders and treatments (4 papers). Renée Beekman collaborates with scholars based in Netherlands, Spain and United States. Renée Beekman's co-authors include Ivo P. Touw, José I. Martı́n-Subero, Marta Kulis, Ana C. Queirós, Elı́as Campo, Sı́lvia Beà, Carlos López-Otı́n, Jesús Gutiérrez‐Abril, Xosé S. Puente and Carlota Rubio-Pérez and has published in prestigious journals such as Nature, Nature Communications and Blood.

In The Last Decade

Renée Beekman

18 papers receiving 1.1k citations

Hit Papers

Non-coding recurrent mutations in chronic lymphocytic leu... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renée Beekman Netherlands 12 583 328 253 225 212 20 1.1k
S Hirosawa Japan 18 470 0.8× 231 0.7× 305 1.2× 259 1.2× 362 1.7× 34 1.1k
Anthony A. Fernald United States 18 707 1.2× 174 0.5× 114 0.5× 87 0.4× 468 2.2× 36 1.1k
Holger Kohlhammer Germany 9 393 0.7× 103 0.3× 129 0.5× 185 0.8× 95 0.4× 11 721
Michela Frenquelli Italy 13 367 0.6× 300 0.9× 260 1.0× 173 0.8× 107 0.5× 19 720
Lucia Bianchi Italy 13 487 0.8× 363 1.1× 158 0.6× 79 0.4× 366 1.7× 24 971
Keegan Barry-Holson United States 8 521 0.9× 205 0.6× 447 1.8× 65 0.3× 463 2.2× 11 1.3k
Erica Ballabio United Kingdom 19 630 1.1× 87 0.3× 333 1.3× 365 1.6× 229 1.1× 27 1.3k
Jacques Vargaftig France 12 309 0.5× 249 0.8× 208 0.8× 202 0.9× 439 2.1× 23 887
Idoya Lahortiga Spain 20 672 1.2× 260 0.8× 207 0.8× 158 0.7× 595 2.8× 40 1.3k
Sylwia Chocholska Poland 17 221 0.4× 238 0.7× 231 0.9× 119 0.5× 138 0.7× 55 692

Countries citing papers authored by Renée Beekman

Since Specialization
Citations

This map shows the geographic impact of Renée Beekman'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 Renée Beekman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renée Beekman more than expected).

Fields of papers citing papers by Renée Beekman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renée Beekman. 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 Renée Beekman. The network helps show where Renée Beekman may publish in the future.

Co-authorship network of co-authors of Renée Beekman

This figure shows the co-authorship network connecting the top 25 collaborators of Renée Beekman. A scholar is included among the top collaborators of Renée Beekman 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 Renée Beekman. Renée Beekman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Beekman, Renée, et al.. (2023). The emerging field of opportunities for single-cell DNA methylation studies in hematology and beyond. Frontiers in Molecular Biosciences. 10. 1286716–1286716.
3.
Scherer, Michael, et al.. (2022). scTAM-seq enables targeted high-confidence analysis of DNA methylation in single cells. Genome biology. 23(1). 229–229. 17 indexed citations
4.
Vilarrasa‐Blasi, Roser, Paula Soler-Vila, Núria Verdaguer-Dot, et al.. (2021). Dynamics of genome architecture and chromatin function during human B cell differentiation and neoplastic transformation. Nature Communications. 12(1). 651–651. 76 indexed citations
5.
Vilarrasa‐Blasi, Roser, Núria Verdaguer-Dot, Laura Belver, et al.. (2021). Insights into the mechanisms underlying aberrant SOX11 oncogene expression in mantle cell lymphoma. Leukemia. 36(2). 583–587. 6 indexed citations
6.
Beekman, Renée, Vicente Chapaprieta, Giulia Orlando, et al.. (2019). Insight into genetic predisposition to chronic lymphocytic leukemia from integrative epigenomics. Nature Communications. 10(1). 3615–3615. 27 indexed citations
7.
Beekman, Renée, Virginia Amador, & Elı́as Campo. (2018). SOX11, a key oncogenic factor in mantle cell lymphoma. Current Opinion in Hematology. 25(4). 299–306. 36 indexed citations
8.
Kulis, Marta, Raquel Ordóñez, Núria Russiñol, et al.. (2016). Whole-Genome Analysis of the Chromatin Structure in Multiple Myeloma. Blood. 128(22). 118–118. 1 indexed citations
9.
Puente, Xosé S., Sı́lvia Beà, Rafael Valdés‐Mas, et al.. (2016). Non-coding recurrent mutations in chronic lymphocytic leukaemia. Nature. 534(7607). S11–S12. 377 indexed citations breakdown →
10.
Kulis, Marta, Ana C. Queirós, Renée Beekman, & José I. Martı́n-Subero. (2013). Intragenic DNA methylation in transcriptional regulation, normal differentiation and cancer. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1829(11). 1161–1174. 177 indexed citations
11.
Skokowa, Julia, Doris Steinemann, C Zeidler, et al.. (2013). The Association of Mutations in RUNX1 and CSF3R with the Development of Leukemia in Severe Congenital Neutropenia: A unique pathway in leukemogenesis. Klinische Pädiatrie. 225(3). 1 indexed citations
12.
Touw, Ivo P., et al.. (2012). Granulocyte Colony-Stimulating Factor Receptor Signaling. Hematology/Oncology Clinics of North America. 27(1). 61–73. 20 indexed citations
13.
Beekman, Renée, Marijke Valkhof, Mathijs A. Sanders, et al.. (2012). Sequential gain of mutations in severe congenital neutropenia progressing to acute myeloid leukemia. Blood. 119(22). 5071–5077. 125 indexed citations
14.
Beekman, Renée, et al.. (2012). Abstract P6-04-08: FOXA1 expression: regulated by EZH2 and associated with favorable outcome to tamoxifen in advanced breast cancer. Cancer Research. 72(24_Supplement). P6–4. 1 indexed citations
15.
Beekman, Renée, Marijke Valkhof, Stefan J. Erkeland, et al.. (2011). Retroviral Integration Mutagenesis in Mice and Comparative Analysis in Human AML Identify Reduced PTP4A3 Expression as a Prognostic Indicator. PLoS ONE. 6(10). e26537–e26537. 22 indexed citations
16.
Beekman, Renée, et al.. (2011). The Antioxidant Protein Peroxiredoxin 4 Is Epigenetically Down Regulated in Acute Promyelocytic Leukemia. PLoS ONE. 6(1). e16340–e16340. 37 indexed citations
17.
Beekman, Renée, Marijke Valkhof, Stefan J. Erkeland, et al.. (2011). Methylated Retroviral Integration Mutagenesis (MRIM) in Mice and Comparative Analysis in Human AML Identify Reduced PTP4A3 Expression As a Prognostic Indicator. Blood. 118(21). 746–746. 1 indexed citations
18.
Taskesen, Erdogan, Renée Beekman, Jeroen de Ridder, et al.. (2010). HAT: Hypergeometric Analysis of Tiling-arrays with application to promoter-GeneChip data. BMC Bioinformatics. 11(1). 275–275. 4 indexed citations
19.
Beekman, Renée & Ivo P. Touw. (2010). G-CSF and its receptor in myeloid malignancy. Blood. 115(25). 5131–5136. 120 indexed citations
20.
Spensberger, Dominik, Michiel Vermeulen, Xavier Le Guezennec, et al.. (2008). Myeloid Transforming Protein Evi1 Interacts with Methyl-CpG Binding Domain Protein 3 and Inhibits in Vitro Histone Deacetylation by Mbd3/Mi-2/NuRD. Biochemistry. 47(24). 6418–6426. 18 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026