Maarten van der Keur

973 total citations
20 papers, 791 citations indexed

About

Maarten van der Keur is a scholar working on Immunology, Public Health, Environmental and Occupational Health and Hematology. According to data from OpenAlex, Maarten van der Keur has authored 20 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 5 papers in Public Health, Environmental and Occupational Health and 5 papers in Hematology. Recurrent topics in Maarten van der Keur's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Hematopoietic Stem Cell Transplantation (5 papers). Maarten van der Keur is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Hematopoietic Stem Cell Transplantation (5 papers). Maarten van der Keur collaborates with scholars based in Netherlands, United Kingdom and Paraguay. Maarten van der Keur's co-authors include Chris J. Janse, Jai Ramesar, Andrew P. Waters, Robert E. Sinden, Jacqui Mendoza, Reinier van der Linden, Blandine Franke‐Fayard, Holly E. Trueman, Hans J. Tanke and Esther de Graaff and has published in prestigious journals such as Blood, Diabetologia and Trends in biotechnology.

In The Last Decade

Maarten van der Keur

20 papers receiving 778 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maarten van der Keur Netherlands 12 398 309 176 153 81 20 791
Thérèsa L. Coetzer South Africa 22 480 1.2× 134 0.4× 373 2.1× 109 0.7× 48 0.6× 71 1.3k
M W Nickells United States 17 141 0.4× 316 1.0× 165 0.9× 139 0.9× 29 0.4× 25 742
Larry Winger United Kingdom 15 365 0.9× 378 1.2× 236 1.3× 53 0.3× 49 0.6× 34 723
Srabasti J. Chakravorty United Kingdom 13 654 1.6× 405 1.3× 184 1.0× 43 0.3× 174 2.1× 14 988
P R Sleath United States 13 146 0.4× 259 0.8× 350 2.0× 79 0.5× 175 2.2× 14 743
Yvonne Adams Denmark 15 520 1.3× 266 0.9× 126 0.7× 33 0.2× 46 0.6× 30 744
Nicolas Coltel France 11 526 1.3× 244 0.8× 266 1.5× 30 0.2× 78 1.0× 14 847
Ilaria Russo United Kingdom 14 465 1.2× 189 0.6× 270 1.5× 22 0.1× 111 1.4× 17 839
Tadge Szestak United Kingdom 12 592 1.5× 254 0.8× 322 1.8× 16 0.1× 94 1.2× 20 944
Nisha Philip United Kingdom 10 295 0.7× 133 0.4× 350 2.0× 27 0.2× 22 0.3× 20 873

Countries citing papers authored by Maarten van der Keur

Since Specialization
Citations

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

Fields of papers citing papers by Maarten van der Keur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maarten van der Keur. 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 Maarten van der Keur. The network helps show where Maarten van der Keur may publish in the future.

Co-authorship network of co-authors of Maarten van der Keur

This figure shows the co-authorship network connecting the top 25 collaborators of Maarten van der Keur. A scholar is included among the top collaborators of Maarten van der Keur 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 Maarten van der Keur. Maarten van der Keur 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.
Franke‐Fayard, Blandine, Holly E. Trueman, Jai Ramesar, et al.. (2004). A Plasmodium berghei reference line that constitutively expresses GFP at a high level throughout the complete life cycle. Molecular and Biochemical Parasitology. 137(1). 23–33. 388 indexed citations
2.
Franke‐Fayard, Blandine, Holly E. Trueman, Jai Ramesar, et al.. (2004). Eratum to “A Plasmodium berghei reference line that constitutively expresses GFP at a high level throughout the complete life cycle”. Molecular and Biochemical Parasitology. 137(2). 365–367. 3 indexed citations
3.
Morolli, Bruno, et al.. (2001). Intrinsic genetic instability of normal human lymphocytes and its implication for loss of heterozygosity. Genes Chromosomes and Cancer. 30(4). 323–335. 9 indexed citations
4.
Monteiro, Carlos E., Luisa A. Marcelino, Micheline Giphart-Gassler, et al.. (2000). Molecular methods for the detection of mutations. Teratogenesis Carcinogenesis and Mutagenesis. 20(6). 357–386. 3 indexed citations
5.
Keur, Maarten van der, et al.. (1999). Autoreactive and immunoregulatory T-cell subsets in insulindependent diabetes mellitus. Diabetologia. 42(4). 443–449. 41 indexed citations
6.
Bockel, J. Hajo van, et al.. (1996). Evaluation of Various Methods to Quantify Endothelial Cells Attached to Vascular Prostheses: Comparison with a New “Gold Standard” FACS Method. Journal of Surgical Research. 61(1). 237–243. 2 indexed citations
7.
Keur, Maarten van der, et al.. (1996). Functional expression of minor histocompatibility antigens on human peripheral blood dendritic cells and epidermal Langerhans cells. Transplant Immunology. 4(2). 151–157. 26 indexed citations
8.
Keur, Maarten van der, et al.. (1995). Computer software for testing drug susceptibility of malaria parasites. Cytometry. 19(3). 273–281. 15 indexed citations
9.
Nicoloso, Fernando Teixeira, et al.. (1994). Flow-cytometric cell counting and DNA estimation for the study of plant cell population dynamics. Plant Cell Tissue and Organ Culture (PCTOC). 39(3). 251–259. 15 indexed citations
10.
11.
Raaphorst, Frank M., Jeroen van Bergen, Maarten van der Keur, et al.. (1994). Usage of TCRAV and TCRBV gene families in human fetal and adult TCR rearrangements. Immunogenetics. 39(5). 343–350. 13 indexed citations
12.
Thaithong, Sodsri, Maarten van der Keur, Hans J. Tanke, et al.. (1993). Flow cytometric screening of blood samples for malaria parasites. Cytometry. 14(3). 276–280. 39 indexed citations
13.
Keur, Maarten van der, et al.. (1993). Selection of defined cell types by flow-cytometric cell sorting. Trends in biotechnology. 11(2). 55–62. 16 indexed citations
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16.
Gheuens, E., Dirk R. Van Bockstaele, Maarten van der Keur, et al.. (1991). Flow cytometric double labeling technique for screening of multidrug resistance. Cytometry. 12(7). 636–644. 36 indexed citations
17.
Tol, Maarten J. D. van, JT Wijnen, Maarten van der Keur, et al.. (1991). Detection of mixed chimaerism in flow‐sorted cell subpopulations by PCR‐amplified VNTR markers after allogeneic bone marrow transplantation. British Journal of Haematology. 79(2). 218–225. 51 indexed citations
18.
Lagaay, A. Margot, Cesare Bosman, Maarten van der Keur, et al.. (1990). Gating of the so-called ‘lymphocytic’ cell population for the quantification of natural killer cells (CD16+) by flow cytometry causes loss of CD16 positive cells. Journal of Immunological Methods. 133(2). 235–244. 8 indexed citations
19.
Thaithong, Sodsri, et al.. (1990). Automated Flow Cytometric Analysis of Drug Susceptibility of Malaria Parasites. American Journal of Tropical Medicine and Hygiene. 43(6). 602–607. 25 indexed citations
20.
Keur, Maarten van der, et al.. (1989). T‐Cell Phenotypes after Stimulation of Human Mononuclear Cells by Pokeweed Mitogen or Pokeweed Mitogen Bound to Erythrocytes. Scandinavian Journal of Immunology. 29(5). 563–571. 3 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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