David Satijn

3.7k total citations
36 papers, 3.0k citations indexed

About

David Satijn is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, David Satijn has authored 36 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Oncology. Recurrent topics in David Satijn's work include Epigenetics and DNA Methylation (16 papers), Monoclonal and Polyclonal Antibodies Research (15 papers) and Cancer-related gene regulation (14 papers). David Satijn is often cited by papers focused on Epigenetics and DNA Methylation (16 papers), Monoclonal and Polyclonal Antibodies Research (15 papers) and Cancer-related gene regulation (14 papers). David Satijn collaborates with scholars based in Netherlands, United States and Denmark. David Satijn's co-authors include Arie P. Otte, Karien M. Hamer, Marco J. Gunster, Johan van der Vlag, Richard G. A. B. Sewalt, Chris J.L.M. Meijer, Elly Fieret, Frank M. Raaphorst, Roel van Driel and Folkert J. van Kemenade and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and The Journal of Cell Biology.

In The Last Decade

David Satijn

34 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Satijn Netherlands	24	2.3k	636	382	320	292	36	3.0k
Jackie Papkoff United States	26	2.0k 0.9×	856 1.3×	392 1.0×	706 2.2×	100 0.3×	34	3.1k
Marc Lipinski France	28	1.8k 0.8×	306 0.5×	269 0.7×	413 1.3×	70 0.2×	67	2.6k
G L Shen-Ong United States	19	1.2k 0.5×	622 1.0×	279 0.7×	417 1.3×	118 0.4×	27	1.9k
T Blunt United Kingdom	10	1.7k 0.7×	597 0.9×	182 0.5×	370 1.2×	115 0.4×	10	2.1k
Haihui Lu United States	17	1.6k 0.7×	793 1.2×	152 0.4×	370 1.2×	87 0.3×	27	2.1k
Karla A. Henning United States	12	1.0k 0.4×	826 1.3×	229 0.6×	704 2.2×	129 0.4×	23	1.9k
Nicole S. Verkaik Netherlands	24	1.7k 0.7×	799 1.3×	240 0.6×	297 0.9×	115 0.4×	47	2.3k
R A Weinberg United States	21	1.8k 0.8×	1.3k 2.0×	342 0.9×	205 0.6×	140 0.5×	33	2.5k
Yijie Gao China	15	2.4k 1.1×	715 1.1×	229 0.6×	314 1.0×	55 0.2×	31	2.8k
Hua Tang Chen United States	12	2.4k 1.1×	871 1.4×	253 0.7×	717 2.2×	99 0.3×	14	3.0k

Countries citing papers authored by David Satijn

Since Specialization

Citations

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

Fields of papers citing papers by David Satijn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Satijn

This figure shows the co-authorship network connecting the top 25 collaborators of David Satijn. A scholar is included among the top collaborators of David Satijn 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 David Satijn. David Satijn 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

Ioan‐Facsinay, Andreea, Andrea Imle, Lars Guelen, et al.. (2023). 1072P DuoBody-EpCAMx4-1BB mediates conditional T cell co-stimulation and promotes antitumor activity in preclinical models. Annals of Oncology. 34. S645–S646.

Hiemstra, Ida H., Kim C. M. Santegoets, Maarten L. Janmaat, et al.. (2023). Preclinical anti-tumour activity of HexaBody-CD38, a next-generation CD38 antibody with superior complement-dependent cytotoxic activity. EBioMedicine. 93. 104663–104663. 18 indexed citations

Kemper, Kristel, Péter Boross, Mischa Houtkamp, et al.. (2022). Mechanistic and pharmacodynamic studies of DuoBody-CD3x5T4 in preclinical tumor models. Life Science Alliance. 5(11). e202201481–e202201481. 3 indexed citations

Imle, Andrea, Aras Toker, Kristin Strumane, et al.. (2022). 1070 HexaBody-CD27 enhances T-cell activation, proliferation, cytokine secretion and cytotoxic activity independently of Fc gamma receptor-mediated crosslinking. Regular and Young Investigator Award Abstracts. A1112–A1112. 1 indexed citations

Hiemstra, Ida H., Maarten L. Janmaat, Péter Boross, et al.. (2020). Preclinical Anti-Tumor Activity of Hexabody-CD38 in Patient-Derived B Cell Lymphoma and Acute Myeloid Leukemia Xenograft Models. Blood. 136(Supplement 1). 19–20.

Goeij, Bart E.C.G. de, Tom Vink, Esther C.W. Breij, et al.. (2016). Efficient Payload Delivery by a Bispecific Antibody–Drug Conjugate Targeting HER2 and CD63. Molecular Cancer Therapeutics. 15(11). 2688–2697. 101 indexed citations

Goeij, Bart E.C.G. de, David Satijn, Richard Wubbolts, et al.. (2015). High Turnover of Tissue Factor Enables Efficient Intracellular Delivery of Antibody–Drug Conjugates. Molecular Cancer Therapeutics. 14(5). 1130–1140. 78 indexed citations

Breij, Esther C.W., Bart E.C.G. de Goeij, Sandra Verploegen, et al.. (2013). An Antibody–Drug Conjugate That Targets Tissue Factor Exhibits Potent Therapeutic Activity against a Broad Range of Solid Tumors. Cancer Research. 74(4). 1214–1226. 166 indexed citations

Skov, Lone, Frank J. Beurskens, Claus Zachariae, et al.. (2008). IL-8 as Antibody Therapeutic Target in Inflammatory Diseases: Reduction of Clinical Activity in Palmoplantar Pustulosis. The Journal of Immunology. 181(1). 669–679. 134 indexed citations

10.

Kwaks, Ted, Phil Barnett, Wieger Hemrika, et al.. (2003). Identification of anti-repressor elements that confer high and stable protein production in mammalian cells. Nature Biotechnology. 21(5). 553–558. 94 indexed citations

11.

Raaphorst, Frank M., Arie P. Otte, Folkert J. van Kemenade, et al.. (2001). Distinct BMI-1 and EZH2 Expression Patterns in Thymocytes and Mature T Cells Suggest a Role for Polycomb Genes in Human T Cell Differentiation. The Journal of Immunology. 166(10). 5925–5934. 62 indexed citations

12.

Raaphorst, Frank M., Folkert J. van Kemenade, Elly Fieret, et al.. (2000). Cutting Edge: Polycomb Gene Expression Patterns Reflect Distinct B Cell Differentiation Stages in Human Germinal Centers. The Journal of Immunology. 164(1). 1–4. 82 indexed citations

13.

Raaphorst, Frank M., Folkert J. van Kemenade, Tjasso Blokzijl, et al.. (2000). Coexpression of BMI-1 and EZH2 Polycomb Group Genes in Reed-Sternberg Cells of Hodgkin’s Disease. American Journal Of Pathology. 157(3). 709–715. 138 indexed citations

14.

Sewalt, Richard G. A. B., Marco J. Gunster, Johan van der Vlag, David Satijn, & Arie P. Otte. (1999). C-Terminal Binding Protein Is a Transcriptional Repressor That Interacts with a Specific Class of Vertebrate Polycomb Proteins. Molecular and Cellular Biology. 19(1). 777–787. 163 indexed citations

15.

Satijn, David & Arie P. Otte. (1999). RING1 Interacts with Multiple Polycomb-Group Proteins and Displays Tumorigenic Activity. Molecular and Cellular Biology. 19(1). 57–68. 106 indexed citations

16.

Sewalt, Richard G. A. B., Johan van der Vlag, Marco J. Gunster, et al.. (1998). Characterization of Interactions between the Mammalian Polycomb-Group Proteins Enx1/EZH2 and EED Suggests the Existence of Different Mammalian Polycomb-Group Protein Complexes. Molecular and Cellular Biology. 18(6). 3586–3595. 196 indexed citations

17.

Satijn, David, Marco J. Gunster, Johan van der Vlag, et al.. (1997). RING1 Is Associated with the Polycomb Group Protein Complex and Acts as a Transcriptional Repressor. Molecular and Cellular Biology. 17(7). 4105–4113. 164 indexed citations

18.

Schoorlemmer, Jon, Camelia V. Marcos-Gutierrez, Felipe Were, et al.. (1997). Ring1A is a transcriptional repressor that interacts with the Polycomb-M33 protein and is expressed at rhombomere boundaries in the mouse hindbrain. The EMBO Journal. 16(19). 5930–5942. 134 indexed citations

19.

Alkema, Mark J., Jacqueline J.L. Jacobs, Jan Willem Voncken, et al.. (1997). MPc2 , a new murine homolog of the Drosophila polycomb protein is a member of the mouse polycomb transcriptional repressor complex 1 1Edited by M. Yaniv. Journal of Molecular Biology. 273(5). 993–1003. 52 indexed citations

20.

Satijn, David, Daniel J. Olson, Johan van der Vlag, et al.. (1997). Interference with the Expression of a Novel Human Polycomb Protein, hPc2, Results in Cellular Transformation and Apoptosis. Molecular and Cellular Biology. 17(10). 6076–6086. 103 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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