M K Dijkstra

667 total citations
8 papers, 459 citations indexed

About

M K Dijkstra is a scholar working on Hematology, Cancer Research and Molecular Biology. According to data from OpenAlex, M K Dijkstra has authored 8 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hematology, 6 papers in Cancer Research and 4 papers in Molecular Biology. Recurrent topics in M K Dijkstra's work include Acute Myeloid Leukemia Research (6 papers), MicroRNA in disease regulation (6 papers) and RNA Interference and Gene Delivery (2 papers). M K Dijkstra is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), MicroRNA in disease regulation (6 papers) and RNA Interference and Gene Delivery (2 papers). M K Dijkstra collaborates with scholars based in Netherlands, Germany and United States. M K Dijkstra's co-authors include Mojca Jongen‐Lavrencic, Su Ming Sun, Bob Löwenberg, Peter J.M. Valk, Lars Bullinger, H. Döhner, Veronika Ročková, Stefan J. Erkeland, Sebastian Haferkamp and Eve Diefenbach and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Molecular Cancer.

In The Last Decade

M K Dijkstra

8 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M K Dijkstra Netherlands	5	401	303	156	32	29	8	459
Laura García-Ortí Spain	5	311 0.8×	77 0.3×	161 1.0×	18 0.6×	73 2.5×	6	397
Dalia Quwaider Spain	10	266 0.7×	121 0.4×	129 0.8×	25 0.8×	18 0.6×	14	357
Philomina Sona Peramangalam Germany	2	286 0.7×	258 0.9×	67 0.4×	45 1.4×	9 0.3×	4	343
Nathaniel P. Delos Santos United States	7	457 1.1×	132 0.4×	107 0.7×	47 1.5×	24 0.8×	15	513
Pinelopi I. Artemaki Greece	12	317 0.8×	276 0.9×	34 0.2×	32 1.0×	17 0.6×	18	372
Yipei Jing China	12	303 0.8×	199 0.7×	64 0.4×	36 1.1×	12 0.4×	14	367
Petra Zeisberger Germany	5	268 0.7×	58 0.2×	99 0.6×	63 2.0×	22 0.8×	11	349
Jennifer Jaques Netherlands	7	290 0.7×	77 0.3×	149 1.0×	41 1.3×	14 0.5×	8	361
Sayuri Horikawa Japan	4	250 0.6×	74 0.2×	99 0.6×	25 0.8×	52 1.8×	5	319

Countries citing papers authored by M K Dijkstra

Since Specialization

Citations

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

Fields of papers citing papers by M K Dijkstra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M K Dijkstra. 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 M K Dijkstra. The network helps show where M K Dijkstra may publish in the future.

Co-authorship network of co-authors of M K Dijkstra

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

All Works

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8 of 8 papers shown

Zeidan, Amer M., Elizabeth A. Griffiths, Courtney D. DiNardo, et al.. (2025). An all-oral regimen of decitabine-cedazuridine (DEC-C) plus venetoclax (VEN) in patients (pts) with newly diagnosed acute myeloid leukemia (AML) ineligible for intensive induction chemotherapy: Results from a phase 2 cohort of 101 pts.. Journal of Clinical Oncology. 43(16_suppl). 6504–6504. 1 indexed citations

Sun, Su Ming, M K Dijkstra, Lars Bullinger, et al.. (2015). Expression of a passenger miR-9* predicts favorable outcome in adults with acute myeloid leukemia less than 60 years of age. Leukemia. 30(2). 303–309. 19 indexed citations

Sun, Su Ming, Lars Bullinger, Eric M. Bindels, et al.. (2015). Aberrant expression of miR-9/9* in myeloid progenitors inhibits neutrophil differentiation by post-transcriptional regulation of ERG. Leukemia. 30(1). 229–237. 22 indexed citations

Sun, Su Ming, Veronika Ročková, Lars Bullinger, et al.. (2012). The prognostic relevance of miR-212 expression with survival in cytogenetically and molecularly heterogeneous AML. Leukemia. 27(1). 100–106. 48 indexed citations

Sun, Su Ming, Lars Bullinger, M K Dijkstra, et al.. (2012). Prognostic and Functional Relevance of Aberrant Microrna-9/9* Expression in Acute Myeloid Leukemia.. Blood. 120(21). 2542–2542. 1 indexed citations

Becker, Therese M., Sebastian Haferkamp, M K Dijkstra, et al.. (2009). The chromatin remodelling factor BRG1 is a novel binding partner of the tumor suppressor p16INK4a. Molecular Cancer. 8(1). 4–4. 47 indexed citations

Sun, Su Ming, M K Dijkstra, Peter J.M. Valk, et al.. (2009). MicroRNAs in Normal Human Terminal Granulocytic Differentiation.. Blood. 114(22). 1463–1463. 1 indexed citations

Jongen‐Lavrencic, Mojca, Su Ming Sun, M K Dijkstra, Peter J.M. Valk, & Bob Löwenberg. (2008). MicroRNA expression profiling in relation to the genetic heterogeneity of acute myeloid leukemia. Blood. 111(10). 5078–5085. 320 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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