R Keijzer

1.6k total citations · 1 hit paper
16 papers, 1.4k citations indexed

About

R Keijzer is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, R Keijzer has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in R Keijzer's work include Molecular Biology Techniques and Applications (5 papers), RNA Interference and Gene Delivery (5 papers) and Cell death mechanisms and regulation (5 papers). R Keijzer is often cited by papers focused on Molecular Biology Techniques and Applications (5 papers), RNA Interference and Gene Delivery (5 papers) and Cell death mechanisms and regulation (5 papers). R Keijzer collaborates with scholars based in Netherlands. R Keijzer's co-authors include Jan Hein van Dierendonck, Jan H. Wijsman, Cornelisse Cj, C J van de Velde, Cees J. Cornelisse, C.J.H. van de Velde, Rob W.M. Hoetelmans, Cornelis J.�H. van de Velde, Stefan J. Erkeland and Peter J.K. Kuppen and has published in prestigious journals such as Cancer, British Journal of Cancer and Cell Death and Differentiation.

In The Last Decade

R Keijzer

16 papers receiving 1.4k citations

Hit Papers

A new method to detect apoptosis in paraffin sections: in... 1993 2026 2004 2015 1993 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R Keijzer Netherlands 14 746 346 207 190 149 16 1.4k
Hirotaka Koizumi Japan 20 635 0.9× 355 1.0× 169 0.8× 207 1.1× 266 1.8× 53 1.4k
William C. Hyun United States 25 753 1.0× 192 0.6× 148 0.7× 199 1.0× 104 0.7× 46 1.7k
William F. Glass United States 23 768 1.0× 386 1.1× 158 0.8× 383 2.0× 322 2.2× 63 2.0k
Mohammad Ghazizadeh Japan 25 803 1.1× 258 0.7× 172 0.8× 375 2.0× 280 1.9× 104 2.0k
Afşar Barlas United States 18 1.2k 1.5× 410 1.2× 169 0.8× 152 0.8× 178 1.2× 35 2.0k
Daniel S. Wechsler United States 23 833 1.1× 275 0.8× 232 1.1× 249 1.3× 109 0.7× 66 1.8k
Eleanor B. Carson-Walter United States 16 861 1.2× 344 1.0× 207 1.0× 175 0.9× 126 0.8× 19 1.4k
Hideo Takeshima Japan 25 765 1.0× 248 0.7× 219 1.1× 207 1.1× 317 2.1× 123 2.3k
Yvonne Myal Canada 24 610 0.8× 486 1.4× 299 1.4× 152 0.8× 186 1.2× 55 1.5k
Francesc Alameda Spain 26 780 1.0× 371 1.1× 328 1.6× 126 0.7× 180 1.2× 78 1.7k

Countries citing papers authored by R Keijzer

Since Specialization
Citations

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

Fields of papers citing papers by R Keijzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Keijzer

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

All Works

16 of 16 papers shown
1.
Goossens-Beumer, Inès J., Eliane C.M. Zeestraten, Anne Benard, et al.. (2014). Clinical prognostic value of combined analysis of Aldh1, Survivin, and EpCAM expression in colorectal cancer. British Journal of Cancer. 110(12). 2935–2944. 69 indexed citations
2.
Mieog, J. Sven D., Alexander L. Vahrmeijer, Merlijn Hutteman, et al.. (2010). Novel Intraoperative Near-Infrared Fluorescence Camera System for Optical Image-Guided Cancer Surgery. Molecular Imaging. 9(4). 223–31. 34 indexed citations
3.
Menon, Anand G., Rob A.�E.�M. Tollenaar, Cornelis J.�H. van de Velde, et al.. (2004). p53 and HLA class-I expression are not down-regulated in colorectal cancer liver metastases. Clinical & Experimental Metastasis. 21(1). 79–85. 22 indexed citations
4.
Hoetelmans, Rob W.M., Alexander L. Vahrmeijer, Ronald L. P. van Vlierberghe, et al.. (2003). The role of various Bcl‐2 domains in the anti‐proliferative effect and modulation of cellular glutathione levels: a prominent role for the BH4 domain. Cell Proliferation. 36(1). 35–44. 16 indexed citations
5.
Hoetelmans, Rob W.M., et al.. (2002). Comparison of the effects of microwave heating and high pressure cooking for antigen retrieval of human and rat Bc1-2 protein in formaldehyde-fixed, paraffin-embedded sections.. PubMed. 77(3). 137–44. 18 indexed citations
7.
Hoetelmans, Rob W.M., Henk-Jan van Slooten, R Keijzer, C.J.H. van de Velde, & Jan Hein van Dierendonck. (2001). Routine Formaldehyde Fixation Irreversibly Reduces Immunoreactivity of Bcl-2 in the Nuclear Compartment of Breast Cancer Cells, but not in the Cytoplasm. Applied immunohistochemistry & molecular morphology. 9(1). 74–80. 3 indexed citations
8.
Hoetelmans, Rob W.M., Henk-Jan van Slooten, R Keijzer, C.J.H. van de Velde, & Jan Hein van Dierendonck. (2001). Routine Formaldehyde Fixation Irreversibly Reduces Immunoreactivity of Bcl-2 in the Nuclear Compartment of Breast Cancer Cells, but not in the Cytoplasm. Applied Immunohistochemistry. 9(1). 74–80. 15 indexed citations
9.
Hoetelmans, Rob W.M., et al.. (2000). Bcl-2 and Bax proteins are present in interphase nuclei of mammalian cells. Cell Death and Differentiation. 7(4). 384–392. 89 indexed citations
10.
Wijsman, Jan H., et al.. (1996). Effect of hormone depletion on cell survival in the EMR-86 rat mammary carcinoma. British Journal of Cancer. 73(10). 1210–1215. 1 indexed citations
11.
Wijsman, Jan H., et al.. (1993). A new method to detect apoptosis in paraffin sections: in situ end-labeling of fragmented DNA.. Journal of Histochemistry & Cytochemistry. 41(1). 7–12. 727 indexed citations breakdown →
12.
Wijsman, Jan H., et al.. (1992). Immunoreactivity of proliferating cell nuclear antigen compared with bromodeoxyuridine incorporation in normal and neoplastic rat tissue. The Journal of Pathology. 168(1). 75–83. 42 indexed citations
13.
Dierendonck, Jan Hein van, et al.. (1991). Cell-cycle-related staining patterns of anti-proliferating cell nuclear antigen monoclonal antibodies. Comparison with BrdUrd labeling and Ki-67 staining.. PubMed. 138(5). 1165–72. 183 indexed citations
14.
Dierendonck, Jan Hein van, R Keijzer, Cees J. Cornelisse, & C.J.H. van de Velde. (1991). Surgically induced cytokinetic responses in experimental rat mammary tumor models. Cancer. 68(4). 759–767. 19 indexed citations
15.
Cj, Cornelisse, et al.. (1991). A prolactin-dependent, metastasising rat mammary carcinoma as a model for endocrine-related tumour dormancy. British Journal of Cancer. 64(3). 463–468. 18 indexed citations
16.
Dierendonck, Jan Hein van, et al.. (1989). Nuclear distribution of the Ki-67 antigen during the cell cycle: comparison with growth fraction in human breast cancer cells.. PubMed. 49(11). 2999–3006. 158 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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