Roel Polak

1.1k total citations · 1 hit paper
9 papers, 451 citations indexed

About

Roel Polak is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Roel Polak has authored 9 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Immunology. Recurrent topics in Roel Polak's work include Acute Lymphoblastic Leukemia research (3 papers), Acute Myeloid Leukemia Research (2 papers) and CAR-T cell therapy research (2 papers). Roel Polak is often cited by papers focused on Acute Lymphoblastic Leukemia research (3 papers), Acute Myeloid Leukemia Research (2 papers) and CAR-T cell therapy research (2 papers). Roel Polak collaborates with scholars based in Netherlands, United States and Nicaragua. Roel Polak's co-authors include Miranda Buitenhuis, Monique L. den Boer, Rob Pieters, Bob de Rooij, Elisa Zhang, Calvin J. Kuo, Andy I. M. Hoepelman, Edgar Delgado, Marc Bierings and Maaike A. Sikma and has published in prestigious journals such as Nature reviews. Cancer, Blood and PLoS ONE.

In The Last Decade

Roel Polak

9 papers receiving 441 citations

Hit Papers

Cancer organoids 2.0: modelling the complexity of the tum... 2024 2026 2025 2024 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roel Polak Netherlands 6 190 113 88 60 56 9 451
Jingmei Hsu United States 14 325 1.7× 200 1.8× 262 3.0× 40 0.7× 118 2.1× 50 696
Lan Deng China 15 214 1.1× 212 1.9× 240 2.7× 31 0.5× 85 1.5× 55 594
Vivian Lim United States 9 181 1.0× 158 1.4× 99 1.1× 102 1.7× 54 1.0× 13 539
Sarah Scotland United States 6 240 1.3× 40 0.4× 66 0.8× 75 1.3× 64 1.1× 10 435
Juying Wei China 12 105 0.6× 56 0.5× 212 2.4× 76 1.3× 39 0.7× 44 380
Seyed Esmaeil Ahmadi Iran 10 206 1.1× 76 0.7× 74 0.8× 24 0.4× 33 0.6× 16 364
Anja Germann Germany 13 266 1.4× 25 0.2× 116 1.3× 22 0.4× 21 0.4× 20 491
Hongbing Ni China 14 286 1.5× 59 0.5× 72 0.8× 38 0.6× 12 0.2× 20 464
Etsuko Aoki United States 8 174 0.9× 136 1.2× 54 0.6× 22 0.4× 86 1.5× 16 364

Countries citing papers authored by Roel Polak

Since Specialization
Citations

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

Fields of papers citing papers by Roel Polak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roel Polak

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

All Works

9 of 9 papers shown
1.
Polak, Roel, Elisa Zhang, & Calvin J. Kuo. (2024). Cancer organoids 2.0: modelling the complexity of the tumour immune microenvironment. Nature reviews. Cancer. 24(8). 523–539. 101 indexed citations breakdown →
2.
Bartels, Marije, Anita M.A.P. Govers, Roel Polak, et al.. (2018). Megakaryocyte lineage development is controlled by modulation of protein acetylation. PLoS ONE. 13(4). e0196400–e0196400. 4 indexed citations
3.
Polak, Roel, Marc Bierings, Mathijs A. Sanders, et al.. (2018). Autophagy inhibition as a potential future targeted therapy for ETV6-RUNX1-driven B-cell precursor acute lymphoblastic leukemia. Haematologica. 104(4). 738–748. 35 indexed citations
4.
Rooij, Bob de, Roel Polak, Rob Pieters, & Monique L. den Boer. (2015). B-Cell Precursor Acute Lymphoblastic Leukemia Cells Create a Self-Reinforcing Niche Independent of the CXCR4/CXCL12 Axis. Blood. 126(23). 1297–1297. 1 indexed citations
5.
Polak, Roel, Bob de Rooij, Rob Pieters, & Monique L. den Boer. (2015). B-cell precursor acute lymphoblastic leukemia cells use tunneling nanotubes to orchestrate their microenvironment. Blood. 126(21). 2404–2414. 137 indexed citations
6.
Polak, Roel, Marc Bierings, Mathijs A. Sanders, et al.. (2014). Targeted Therapy for ETV6-RUNX1-Driven B-Cell Precursor Acute Lymphoblastic Leukemia. Blood. 124(21). 62–62. 1 indexed citations
7.
Polak, Roel & Miranda Buitenhuis. (2011). The PI3K/PKB signaling module as key regulator of hematopoiesis: implications for therapeutic strategies in leukemia. Blood. 119(4). 911–923. 102 indexed citations
8.
Polak, Roel, et al.. (2010). Increasing resistance in community-acquired urinary tract infections in Latin America, five years after the implementation of national therapeutic guidelines. International Journal of Infectious Diseases. 14(9). e770–e774. 55 indexed citations
9.
Polak, Roel, A. B. Huisman, Maaike A. Sikma, & Sabina Kersting. (2010). Spurious hypokalaemia and hypophosphataemia due to extreme hyperleukocytosis in a patient with a haematological malignancy. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 47(2). 179–181. 15 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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