Dennis Veldhuizen

625 total citations
7 papers, 316 citations indexed

About

Dennis Veldhuizen is a scholar working on Hematology, Immunology and Genetics. According to data from OpenAlex, Dennis Veldhuizen has authored 7 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 3 papers in Immunology and 2 papers in Genetics. Recurrent topics in Dennis Veldhuizen's work include Acute Myeloid Leukemia Research (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Immune Cell Function and Interaction (2 papers). Dennis Veldhuizen is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Immune Cell Function and Interaction (2 papers). Dennis Veldhuizen collaborates with scholars based in Netherlands, Belgium and United States. Dennis Veldhuizen's co-authors include Alexander N. Snel, Angèle Kelder, Gerrit Jan Schuurhuis, Jacqueline Cloos, Willemijn J. Scholten, Yvonne J.M Oussoren-Brockhoff, G.J. Ossenkoppele, Wendelien Zeijlemaker, Daphne de Jong and Jan Paul de Boer and has published in prestigious journals such as Leukemia, Haematologica and Journal of Visualized Experiments.

In The Last Decade

Dennis Veldhuizen

7 papers receiving 316 citations

Peers

Countries citing papers authored by Dennis Veldhuizen

Since Specialization

Citations

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

Fields of papers citing papers by Dennis Veldhuizen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennis Veldhuizen

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

All Works

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7 of 7 papers shown

#	Work	Indexed citations
1	Comprehensive Protocol to Sample and Process Bone Marrow for Measuring Measurable Residual Disease and Leukemic Stem Cells in Acute Myeloid Leukemia 2018 ·Journal of Visualized Experiments ·Jacqueline Cloos, Jeffrey R. Harris, Jeroen J. W. M. Janssen, Angèle Kelder, Fei Huang, (unknown), (unknown), Alexander N. Snel, (unknown), Willemijn J. Scholten, (unknown), Dennis Veldhuizen, Diana Hanekamp, Yvonne J.M Oussoren-Brockhoff, Gertjan J.L. Kaspers, Gerrit Jan Schuurhuis, A. Kate Sasser, Gert J. Ossenkoppele	23
2	Comprehensive Protocol to Sample and Process Bone Marrow for Measuring Measurable Residual Disease and Leukemic Stem Cells in Acute Myeloid Leukemia 2018 ·Journal of Visualized Experiments ·Jacqueline Cloos, Jeffrey R. Harris, Jeroen J. W. M. Janssen, Angèle Kelder, (unknown), (unknown), (unknown), Alexander N. Snel, (unknown), Willemijn J. Scholten, (unknown), Dennis Veldhuizen, Diana Hanekamp, (unknown), Gertjan J.L. Kaspers, Gerrit Jan Schuurhuis, (unknown), Gert J. Ossenkoppele	16
3	LEUKEMIC STEM CELL FREQUENCY COMBINED WITH MRD IS AN IMPORTANT BIOMARKER TO PREDICT RELAPSE IN ACUTE MYELOID LEUKEMIA. RESULTS FROM A PROSPECTIVE H102 STUDY 2017 ·Pure Amsterdam UMC ·Wendelien Zeijlemaker, (unknown), Angèle Kelder, (unknown), Yvonne J.M Oussoren-Brockhoff, (unknown), Dennis Veldhuizen, Willemijn J. Scholten, Johan Maertens, Dimitri Breems, Thomas Pabst, Markus G. Manz, (unknown), (unknown), Peter J.M. Valk, Jacqueline Cloos, Bob Löwenberg, GJ Ossenkoppele, Gerrit‐Jan Schuurhuis	1
4	A simple one-tube assay for immunophenotypical quantification of leukemic stem cells in acute myeloid leukemia 2015 ·Leukemia ·Wendelien Zeijlemaker, Angèle Kelder, Yvonne J.M Oussoren-Brockhoff, Willemijn J. Scholten, Alexander N. Snel, Dennis Veldhuizen, Jacqueline Cloos, G.J. Ossenkoppele, Gerrit Jan Schuurhuis	88
5	Peripheral blood minimal residual disease may replace bone marrow minimal residual disease as an immunophenotypic biomarker for impending relapse in acute myeloid leukemia 2015 ·Leukemia ·Wendelien Zeijlemaker, Angèle Kelder, Yvonne J.M Oussoren-Brockhoff, Willemijn J. Scholten, Alexander N. Snel, Dennis Veldhuizen, Jacqueline Cloos, G.J. Ossenkoppele, Gerrit Jan Schuurhuis	68
6	Prognostic Relevance of Immunohistochemical Subclassification of Diffuse Large B-Cell Lymphoma in Two Prospective Phase III Clinical Trials 2011 ·Clinical Lymphoma Myeloma & Leukemia ·(unknown), King H. Lam, Bronno van der Holt, (unknown), Dennis Veldhuizen, Leo M. Budel, Andries H. Mulder, Leo F. Verdonck, Ruud Delwel, Daphne de Jong, Gustaaf W. van Imhoff, Pieter Sonneveld	10
7	Impact of the tumor microenvironment on prognosis in follicular lymphoma is dependent on specific treatment protocols 2008 ·Haematologica ·Daphne de Jong, Ad Koster, Anton Hagenbeek, John Raemaekers, Dennis Veldhuizen, S. H. Heisterkamp, Jan Paul de Boer, M. van Glabbeke	110

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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