Kim Schipper

1.2k total citations · 1 hit paper
17 papers, 881 citations indexed

About

Kim Schipper is a scholar working on Microbiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Kim Schipper has authored 17 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Microbiology, 7 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Kim Schipper's work include Bacterial Infections and Vaccines (7 papers), Pneumonia and Respiratory Infections (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). Kim Schipper is often cited by papers focused on Bacterial Infections and Vaccines (7 papers), Pneumonia and Respiratory Infections (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). Kim Schipper collaborates with scholars based in Netherlands, South Africa and Finland. Kim Schipper's co-authors include Toni M.M. van Capel, Yvette van Kooyk, Esther C. de Jong, Desirée van der Kleij, Maria Yazdanbakhsh, Anneke Engering, Eddy A. Wierenga, Hermelijn H. Smits, Arie van der Ende and Diederik van de Beek and has published in prestigious journals such as PLoS ONE, Biomaterials and Journal of Allergy and Clinical Immunology.

In The Last Decade

Kim Schipper

17 papers receiving 847 citations

Hit Papers

Selective probiotic bacteria induce IL-10–producing regul... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kim Schipper Netherlands 11 355 312 163 119 113 17 881
Louise Zeuthen Denmark 11 475 1.3× 349 1.1× 351 2.2× 86 0.7× 114 1.0× 12 942
Denise Goudercourt France 8 323 0.9× 332 1.1× 62 0.4× 97 0.8× 60 0.5× 8 643
R. Lodinová‐Žádníková Czechia 12 387 1.1× 228 0.7× 208 1.3× 102 0.9× 54 0.5× 26 1.0k
Martina Sassone‐Corsi United States 10 713 2.0× 377 1.2× 101 0.6× 150 1.3× 93 0.8× 11 1.2k
Igor Šplı́chal Czechia 19 302 0.9× 305 1.0× 314 1.9× 75 0.6× 54 0.5× 64 910
Claire Chevaleyre France 18 475 1.3× 211 0.7× 285 1.7× 78 0.7× 65 0.6× 39 1.2k
D. Sokol Czechia 5 539 1.5× 195 0.6× 178 1.1× 125 1.1× 46 0.4× 5 985
Christina Hessle Sweden 9 385 1.1× 371 1.2× 429 2.6× 61 0.5× 90 0.8× 9 1.1k
Jeremy A. Peña United States 8 311 0.9× 300 1.0× 78 0.5× 71 0.6× 54 0.5× 10 590
Paulraj Kanmani Argentina 18 473 1.3× 466 1.5× 187 1.1× 50 0.4× 70 0.6× 27 1.1k

Countries citing papers authored by Kim Schipper

Since Specialization
Citations

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

Fields of papers citing papers by Kim Schipper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Schipper

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

All Works

17 of 17 papers shown
1.
Schipper, Kim, et al.. (2025). Incidence of Tattoo-Associated Melanoma in the Netherlands (1991–2023): A Nationwide Registry Study. Dermatology. 242(1). 58–67. 1 indexed citations
3.
Schipper, Kim, et al.. (2022). Genetic diversity of Staphylococcus aureus wall teichoic acid glycosyltransferases affects immune recognition. Microbial Genomics. 8(12). 9 indexed citations
4.
Schipper, Kim, et al.. (2022). Meningococcal virulence in zebrafish embryos depends on capsule polysaccharide structure. Frontiers in Cellular and Infection Microbiology. 12. 1020201–1020201. 6 indexed citations
5.
Pannekoek, Yvonne, et al.. (2017). Regulation of Neisseria meningitidis cytochrome bc1 components by NrrF, a Fur‐controlled small noncoding RNA. FEBS Open Bio. 7(9). 1302–1315. 4 indexed citations
6.
Pannekoek, Yvonne, Kim Schipper, Gertjan Kramer, et al.. (2017). Neisseria meningitidisUses Sibling Small Regulatory RNAs To Switch from Cataplerotic to Anaplerotic Metabolism. mBio. 8(2). 17 indexed citations
7.
Lees, John A., Marion Koopmans, Bart Ferwerda, et al.. (2016). Benzalkonium tolerance genes and outcome in Listeria monocytogenes meningitis. Clinical Microbiology and Infection. 23(4). 265.e1–265.e7. 80 indexed citations
8.
Piet, Jurgen R., Floris Fransen, Kim Schipper, et al.. (2014). Meningitis caused by a lipopolysaccharide deficient Neisseria meningitidis. Journal of Infection. 69(4). 352–357. 15 indexed citations
9.
Plessis, Mignon du, Nicole Wolter, Hendrik-Jan Hamstra, et al.. (2014). Meningococcal serogroup Y lpxL1 variants from South Africa are associated with clonal complex 23 among young adults. Journal of Infection. 68(5). 455–461. 7 indexed citations
10.
Piet, Jurgen R., Madelijn Geldhoff, Barbera D. C. van Schaik, et al.. (2013). Streptococcus pneumoniae Arginine Synthesis Genes Promote Growth and Virulence in Pneumococcal Meningitis. The Journal of Infectious Diseases. 209(11). 1781–1791. 21 indexed citations
11.
Arenas, Jesús, Kim Schipper, Peter van Ulsen, Arie van der Ende, & Jan Tommassen. (2013). Domain exchange at the 3’ end of the gene encoding the fratricide meningococcal two-partner secretion protein A. BMC Genomics. 14(1). 622–622. 37 indexed citations
12.
Rodenburg, Gerwin D., Floris Fransen, Debby Bogaert, et al.. (2012). Prevalence and Clinical Course in Invasive Infections with Meningococcal Endotoxin Variants. PLoS ONE. 7(11). e49295–e49295. 11 indexed citations
13.
Boer, Leonie de, Kim Schipper, Christopher D. Jones, et al.. (2009). The influence of antibodies on Staphylococcus epidermidis adherence to polyvinylpyrrolidone-coated silicone elastomer in experimental biomaterial-associated infection in mice. Biomaterials. 30(32). 6444–6450. 16 indexed citations
14.
Boer, Leonie de, et al.. (2007). Staphylococcus epidermidis is cleared from biomaterial implants but persists in peri‐implant tissue in mice despite rifampicin/vancomycin treatment. Journal of Biomedical Materials Research Part A. 85A(2). 498–505. 25 indexed citations
15.
Naiemi, Nashwan al, Kim Schipper, Birgitta Duim, & Aldert Bart. (2006). Application of Minimal Sequence Quality Values Prevents Misidentification of the bla SHV Type in Single Bacterial Isolates Carrying Different SHV Extended-Spectrum β-Lactamase Genes. Journal of Clinical Microbiology. 44(5). 1896–1898. 11 indexed citations
16.
Boer, Leonie de, Kim Schipper, Christopher D. Jones, et al.. (2006). Peri-Implant Tissue Is an Important Niche for Staphylococcus epidermidis in Experimental Biomaterial-Associated Infection in Mice. Infection and Immunity. 75(3). 1129–1136. 45 indexed citations
17.
Smits, Hermelijn H., Anneke Engering, Desirée van der Kleij, et al.. (2005). Selective probiotic bacteria induce IL-10–producing regulatory T cells in vitro by modulating dendritic cell function through dendritic cell–specific intercellular adhesion molecule 3–grabbing nonintegrin. Journal of Allergy and Clinical Immunology. 115(6). 1260–1267. 572 indexed citations breakdown →

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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