Arjen Kramer

511 total citations
9 papers, 307 citations indexed

About

Arjen Kramer is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, Arjen Kramer has authored 9 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Arjen Kramer's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Toxoplasma gondii Research Studies (2 papers). Arjen Kramer is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Toxoplasma gondii Research Studies (2 papers). Arjen Kramer collaborates with scholars based in Netherlands and Germany. Arjen Kramer's co-authors include J. Brinkhof, C. van Maanen, W. Wouda, Th Dijkstra, John de Kruif, Mark Throsby, Ton Logtenberg, Therèse Visser, Pieter Fokko van Loo and Rob C. Roovers and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Molecular Biology and Cancer Research.

In The Last Decade

Arjen Kramer

9 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arjen Kramer Netherlands	6	178	57	57	54	53	9	307
Francine Cigel United States	11	46 0.3×	26 0.5×	16 0.3×	61 1.1×	201 3.8×	14	318
Antonie Neubauer Germany	15	36 0.2×	59 1.0×	16 0.3×	398 7.4×	123 2.3×	18	478
Mark G. Delboy United States	7	46 0.3×	89 1.6×	24 0.4×	307 5.7×	123 2.3×	8	374
Dennis M. Wong United States	7	42 0.2×	59 1.0×	29 0.5×	166 3.1×	143 2.7×	8	460
Sharmila Manoj United States	6	17 0.1×	77 1.4×	20 0.4×	196 3.6×	144 2.7×	9	332
Chieko Kai Japan	14	24 0.1×	59 1.0×	23 0.4×	319 5.9×	98 1.8×	35	449
Brian P. Hannah United States	6	43 0.2×	53 0.9×	18 0.3×	351 6.5×	93 1.8×	7	414
Sílvio Fernando Guimarães de Carvalho Brazil	14	151 0.8×	52 0.9×	14 0.2×	340 6.3×	42 0.8×	36	610
Joseph D. Comber United States	9	18 0.1×	124 2.2×	12 0.2×	100 1.9×	160 3.0×	14	311
Alison Whiteley United Kingdom	8	35 0.2×	84 1.5×	16 0.3×	446 8.3×	186 3.5×	8	486

Countries citing papers authored by Arjen Kramer

Since Specialization

Citations

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

Fields of papers citing papers by Arjen Kramer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arjen Kramer

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

All Works

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9 of 9 papers shown

Gorter, David J. J. de, et al.. (2023). Abstract 4999: Preclinical evaluation of MCLA-129, a bispecific antibody targeting EGFR and c-MET on solid tumor cells, in comparison with amivantamab. Cancer Research. 83(7_Supplement). 4999–4999. 3 indexed citations

Geuijen, Cecile, Tristan Gallenne, Linda Hendriks, et al.. (2021). Abstract 957: Zenocutuzumab: An antibody that can overcome HER3 mediated HRG signalling in tumor cells by docking on HER2. Cancer Research. 81(13_Supplement). 957–957. 2 indexed citations

Loo, Pieter Fokko van, Basav N. Hangalapura, Soley Thordardottir, et al.. (2019). MCLA-117, a CLEC12AxCD3 bispecific antibody targeting a leukaemic stem cell antigen, induces T cell-mediated AML blast lysis. Expert Opinion on Biological Therapy. 19(7). 721–733. 47 indexed citations

Geuijen, Cecile, Therèse Visser, Willem Bartelink, et al.. (2014). Preclinical activity of MCLA-128, an ADCC enhanced bispecific IgG1 antibody targeting the HER2:HER3 heterodimer.. Journal of Clinical Oncology. 32(15_suppl). 560–560. 12 indexed citations

Kruif, John de, et al.. (2010). Generation of stable cell clones expressing mixtures of human antibodies. Biotechnology and Bioengineering. 106(5). 741–750. 29 indexed citations

Kruif, John de, Arjen Kramer, Therèse Visser, et al.. (2009). Human Immunoglobulin Repertoires against Tetanus Toxoid Contain a Large and Diverse Fraction of High-Affinity Promiscuous VH Genes. Journal of Molecular Biology. 387(3). 548–558. 19 indexed citations

Brandenburg, Klaus, Patrick Garidel, Andra B. Schromm, et al.. (2004). Investigation into the interaction of the bacterial protease OmpT with outer membrane lipids and biological activity of OmpT:lipopolysaccharide complexes. European Biophysics Journal. 34(1). 28–41. 14 indexed citations

Wouda, W., T. Dijkstra, Arjen Kramer, & C.J.M. Bartels. (2000). [The role of the dog in the epidemiology of neosporosis in cattle].. PubMed. 125(20). 614–8. 3 indexed citations

Wouda, W., Th Dijkstra, Arjen Kramer, C. van Maanen, & J. Brinkhof. (1999). Seroepidemiological evidence for a relationship between Neospora caninum infections in dogs and cattle. International Journal for Parasitology. 29(10). 1677–1682. 178 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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