Marc H.G.P. Raaijmakers

3.1k total citations · 1 hit paper
37 papers, 1.8k citations indexed

About

Marc H.G.P. Raaijmakers is a scholar working on Hematology, Immunology and Genetics. According to data from OpenAlex, Marc H.G.P. Raaijmakers has authored 37 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Hematology, 13 papers in Immunology and 10 papers in Genetics. Recurrent topics in Marc H.G.P. Raaijmakers's work include Acute Myeloid Leukemia Research (16 papers), Hematopoietic Stem Cell Transplantation (14 papers) and Blood disorders and treatments (5 papers). Marc H.G.P. Raaijmakers is often cited by papers focused on Acute Myeloid Leukemia Research (16 papers), Hematopoietic Stem Cell Transplantation (14 papers) and Blood disorders and treatments (5 papers). Marc H.G.P. Raaijmakers collaborates with scholars based in Netherlands, United States and Germany. Marc H.G.P. Raaijmakers's co-authors include David T. Scadden, Johanna M. Rommens, Benjamin L. Ebert, Shangqin Guo, Jesse Schoonmaker, Tatsuya Kobayashi, Robert P. Hasserjian, Fátima Al‐Shahrour, Charles P. Lin and Siddhartha Mukherjee and has published in prestigious journals such as Nature, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Marc H.G.P. Raaijmakers

33 papers receiving 1.8k 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.

Bone progenitor dysfunction induces myelodysplasia and secondary leukaemia

2010 798 citations Marc H.G.P. Raaijmakers, Benjamin L. Ebert et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marc H.G.P. Raaijmakers Netherlands	20	998	620	455	452	447	37	1.8k
Osman Yılmaz United States	9	1.6k 1.6×	791 1.3×	597 1.3×	457 1.0×	929 2.1×	17	2.5k
Marcin W. Włodarski United States	26	1.2k 1.2×	719 1.2×	691 1.5×	284 0.6×	961 2.1×	106	2.4k
Guntram Büsche Germany	21	801 0.8×	636 1.0×	733 1.6×	227 0.5×	180 0.4×	63	1.5k
Mamiko Noda Japan	7	1.2k 1.2×	610 1.0×	611 1.3×	631 1.4×	944 2.1×	8	2.2k
Regina Kunzmann Germany	20	1.1k 1.1×	496 0.8×	380 0.8×	257 0.6×	239 0.5×	33	1.5k
Dimitri Breems Netherlands	18	1.7k 1.7×	692 1.1×	570 1.3×	363 0.8×	225 0.5×	44	2.2k
Julianne Chen United States	22	1.0k 1.0×	539 0.9×	686 1.5×	807 1.8×	626 1.4×	58	2.2k
Francesco Albano Italy	25	1.0k 1.0×	771 1.2×	597 1.3×	236 0.5×	161 0.4×	140	1.8k
Remco M. Hoogenboezem Netherlands	20	514 0.5×	530 0.9×	271 0.6×	225 0.5×	350 0.8×	51	1.2k
David C. Weksberg United States	12	597 0.6×	491 0.8×	187 0.4×	260 0.6×	698 1.6×	18	1.6k

Countries citing papers authored by Marc H.G.P. Raaijmakers

Since Specialization

Citations

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

Fields of papers citing papers by Marc H.G.P. Raaijmakers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc H.G.P. Raaijmakers. 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 Marc H.G.P. Raaijmakers. The network helps show where Marc H.G.P. Raaijmakers may publish in the future.

Co-authorship network of co-authors of Marc H.G.P. Raaijmakers

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

All Works

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20 of 20 papers shown

Hoogenboezem, Remco M., Eric M. Bindels, Seyed Abolhassan Shahzadeh Fazeli, et al.. (2025). An inflammatory T-cell-stromal axis contributes to hematopoietic stem/progenitor cell failure and clonal evolution in human myelodysplastic syndrome. Nature Communications. 16(1). 10041–10041.

Daele, Paul Van, et al.. (2024). Long‐term genetic and clinical remissions after cessation of azacitidine treatment in patients with VEXAS syndrome. HemaSphere. 8(8). e129–e129. 10 indexed citations

Jong, Madelon M.E. de, et al.. (2024). Bone marrow inflammation in haematological malignancies. Nature reviews. Immunology. 24(8). 543–558. 19 indexed citations

Miedema, Jelle, Leonard Seghers, Robert‐Jan H. Galjaard, et al.. (2024). Outcomes of lung transplantation in patients with telomere-related forms of progressive fibrosing interstitial lung disease pulmonary fibrosis: A systematic review. SHILAP Revista de lepidopterología. 3. 100054–100054. 3 indexed citations

Jong, Madelon M.E. de, Remco M. Hoogenboezem, Eric M. Bindels, et al.. (2023). A Single-Cell Taxonomy Predicts Inflammatory Niche Remodeling to Drive Tissue Failure and Outcome in Human AML. Blood Cancer Discovery. 4(5). 394–417. 19 indexed citations

Ping, Zhen, Paulina M. H. van Strien, Remco M. Hoogenboezem, et al.. (2022). Myeloid cells promote interferon signaling-associated deterioration of the hematopoietic system. Nature Communications. 13(1). 7657–7657. 5 indexed citations

Agarwal, Anupriya, Jane E. Churpek, Nicolas Duployez, et al.. (2022). Validation and clinical application of transactivation assays forRUNX1variant classification. Blood Advances. 6(11). 3195–3200. 4 indexed citations

Velden, Vincent H. J. van der, et al.. (2022). A congenital CSF3R mutation in chronic neutropenia reveals a vital role for a cytokine receptor extracellular hinge motif in the response to granulocyte colony‐stimulating factor. Pediatric Blood & Cancer. 70(4). e30039–e30039.

Lammens, Tim, Alina Ferster, Miriam Erlacher, et al.. (2021). Functional classification of RUNX1 variants in familial platelet disorder with associated myeloid malignancies. Leukemia. 35(11). 3304–3308. 10 indexed citations

10.

Schulpen, Maya, Bianca F. Goemans, Gertjan J.L. Kaspers, et al.. (2021). Increased survival disparities among children and adolescents & young adults with acute myeloid leukemia: A Dutch population‐based study. International Journal of Cancer. 150(7). 1101–1112. 9 indexed citations

11.

Snoeren, Inge, Susanne Ziegler, Mónica Ventura Ferreira, et al.. (2019). Rps14, Csnk1a1 and miRNA145/miRNA146a deficiency cooperate in the clinical phenotype and activation of the innate immune system in the 5q- syndrome. Leukemia. 33(7). 1759–1772. 36 indexed citations

12.

Kuijk, Carlijn, Marion Kleijer, Jaap D. van Buul, et al.. (2018). Interferon-Gamma Impairs Maintenance and Alters Hematopoietic Support of Bone Marrow Mesenchymal Stromal Cells. Stem Cells and Development. 27(9). 579–589. 25 indexed citations

13.

Ping, Zhen, Si Chen, Keane Jared Guillaume Kenswil, et al.. (2018). Activation of NF-κB driven inflammatory programs in mesenchymal elements attenuates hematopoiesis in low-risk myelodysplastic syndromes. Leukemia. 33(2). 536–541. 35 indexed citations

14.

Bergsma, Hendrik, Kirsten van Lom, Marc H.G.P. Raaijmakers, et al.. (2017). Persistent Hematologic Dysfunction after Peptide Receptor Radionuclide Therapy with ¹⁷⁷Lu-DOTATATE: Incidence, Course, and Predicting Factors in Patients with Gastroenteropancreatic Neuroendocrine Tumors. Journal of Nuclear Medicine. 59(3). 452–458. 104 indexed citations

15.

Zambetti, Noemi A., Eric M. Bindels, Paulina M. H. van Strien, et al.. (2015). Deficiency of the ribosome biogenesis gene Sbds in hematopoietic stem and progenitor cells causes neutropenia in mice by attenuating lineage progression in myelocytes. Haematologica. 100(10). 1285–1293. 37 indexed citations

16.

Lee, Dongjun, Stephen M. Sykes, Demetrios Kalaitzidis, et al.. (2014). Transmembrane Inhibitor of RICTOR/mTORC2 in Hematopoietic Progenitors. Stem Cell Reports. 3(5). 832–840. 14 indexed citations

17.

Raaijmakers, Marc H.G.P.. (2011). Niche contributions to oncogenesis: emerging concepts and implications for the hematopoietic system. Haematologica. 96(7). 1041–1048. 53 indexed citations

18.

Raaijmakers, Marc H.G.P. & David T. Scadden. (2008). Evolving concepts on the microenvironmental niche for hematopoietic stem cells. Current Opinion in Hematology. 15(4). 301–306. 53 indexed citations

19.

Raaijmakers, Marc H.G.P., Bert A. van der Reijden, Joop H. Jansen, et al.. (2005). Impaired breast cancer resistance protein mediated drug transport in plasma cells in multiple myeloma. Leukemia Research. 29(12). 1455–1458. 22 indexed citations

20.

Raaijmakers, Marc H.G.P., Liesbeth van Emst, Théo de Witte, E. J. B. M. Mensink, & Reinier Raymakers. (2002). Quantitative assessment of gene expression in highly purified hematopoietic cells using real-time reverse transcriptase polymerase chain reaction. Experimental Hematology. 30(5). 481–487. 51 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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