Mark H. T. Stappers

967 total citations · 1 hit paper
24 papers, 521 citations indexed

About

Mark H. T. Stappers is a scholar working on Infectious Diseases, Immunology and Epidemiology. According to data from OpenAlex, Mark H. T. Stappers has authored 24 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 10 papers in Immunology and 8 papers in Epidemiology. Recurrent topics in Mark H. T. Stappers's work include Antifungal resistance and susceptibility (7 papers), Immune Response and Inflammation (6 papers) and Streptococcal Infections and Treatments (6 papers). Mark H. T. Stappers is often cited by papers focused on Antifungal resistance and susceptibility (7 papers), Immune Response and Inflammation (6 papers) and Streptococcal Infections and Treatments (6 papers). Mark H. T. Stappers collaborates with scholars based in Netherlands, United Kingdom and United States. Mark H. T. Stappers's co-authors include Gordon D. Brown, Leo A. B. Joosten, Janet A. Willment, Neil A. R. Gow, Inge C. Gyssens, Mihai G. Netea, G.J.C.G.M. Bosman, Marije Oosting, V.M.J. Novotný and Johan W. Mouton and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mark H. T. Stappers

24 papers receiving 515 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Candida albicans and Candida glabrata : global priority pathogens

2024 50 citations Mark H. T. Stappers, Bernhard Hube et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark H. T. Stappers Netherlands	14	214	158	118	113	47	24	521
Suzanne Butcher Australia	6	288 1.3×	167 1.1×	163 1.4×	128 1.1×	26 0.6×	7	518
Timothy J. Break United States	14	307 1.4×	203 1.3×	176 1.5×	104 0.9×	32 0.7×	23	593
Kwang–Kyu Kim South Korea	5	204 1.0×	203 1.3×	293 2.5×	175 1.5×	41 0.9×	7	741
Cynthia Fourgeux France	14	187 0.9×	169 1.1×	83 0.7×	191 1.7×	32 0.7×	26	630
Chenchen Yu United States	9	205 1.0×	93 0.6×	61 0.5×	58 0.5×	51 1.1×	17	442
Jack Major United Kingdom	7	188 0.9×	224 1.4×	113 1.0×	142 1.3×	26 0.6×	8	562
Vijaya Knight United States	13	179 0.8×	267 1.7×	163 1.4×	106 0.9×	51 1.1×	36	713
Dawn Horn United States	4	211 1.0×	280 1.8×	221 1.9×	78 0.7×	67 1.4×	5	519
Ashenafi Y. Tilahun United States	15	305 1.4×	167 1.1×	67 0.6×	166 1.5×	33 0.7×	24	597
Rita Káposzta Hungary	11	211 1.0×	177 1.1×	166 1.4×	127 1.1×	61 1.3×	19	584

Countries citing papers authored by Mark H. T. Stappers

Since Specialization

Citations

This map shows the geographic impact of Mark H. T. Stappers'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 Mark H. T. Stappers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark H. T. Stappers more than expected).

Fields of papers citing papers by Mark H. T. Stappers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark H. T. Stappers. 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 Mark H. T. Stappers. The network helps show where Mark H. T. Stappers may publish in the future.

Co-authorship network of co-authors of Mark H. T. Stappers

This figure shows the co-authorship network connecting the top 25 collaborators of Mark H. T. Stappers. A scholar is included among the top collaborators of Mark H. T. Stappers 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 Mark H. T. Stappers. Mark H. T. Stappers 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

Rosati, Diletta, Marisa Valentine, Mariolina Bruno, et al.. (2025). Lactic acid in the vaginal milieu modulates the Candida -host interaction. Virulence. 16(1). 2451165–2451165. 1 indexed citations

Reedy, Jennifer L., Rebecca Ward, Christopher Reardon, et al.. (2024). Fungal melanin suppresses airway epithelial chemokine secretion through blockade of calcium fluxing. Nature Communications. 15(1). 5817–5817. 5 indexed citations

Stappers, Mark H. T., Fiorella Ruchti, Florian Sparber, et al.. (2024). Card9 and MyD88 differentially regulate Th17 immunity to the commensal yeast Malassezia in the murine skin. Mucosal Immunology. 18(1). 205–219. 3 indexed citations

Krylov, Vadim B., Dmitry V. Yashunsky, Alistair J. P. Brown, et al.. (2023). Identification of a new DC-SIGN binding pentamannoside epitope within the complex structure of Candida albicans mannan. SHILAP Revista de lepidopterología. 10. 100109–100109. 8 indexed citations

Farrer, Rhys A., Mark H. T. Stappers, Andrew M. Borman, et al.. (2023). Strain and temperature dependent aggregation of Candida auris is attenuated by inhibition of surface amyloid proteins. SHILAP Revista de lepidopterología. 10. 100110–100110. 14 indexed citations

Stappers, Mark H. T., Ivy M. Dambuza, Fabián Salazar, et al.. (2021). MelLec Exacerbates the Pathogenesis of Aspergillus fumigatus-Induced Allergic Inflammation in Mice. Frontiers in Immunology. 12. 675702–675702. 6 indexed citations

Willment, Janet A., Lisete M. Silva, Angelina S. Palma, et al.. (2020). Mannan detecting C-type lectin receptor probes recognise immune epitopes with diverse chemical, spatial and phylogenetic heterogeneity in fungal cell walls. PLoS Pathogens. 16(1). e1007927–e1007927. 54 indexed citations

D’Onofrio, Valentino, Mark H. T. Stappers, Jeroen C.H. van der Hilst, et al.. (2020). An observational study of innate immune responses in patients with acute appendicitis. Scientific Reports. 10(1). 17352–17352. 16 indexed citations

Dambuza, Ivy M., Patawee Asamaphan, Mark H. T. Stappers, et al.. (2019). The pattern recognition receptors dectin-2, mincle, and FcRγ impact the dynamics of phagocytosis of Candida, Saccharomyces, Malassezia, and Mucor species. PLoS ONE. 14(8). e0220867–e0220867. 26 indexed citations

10.

D’Onofrio, Valentino, Annelie A Monnier, Cécile Kremer, et al.. (2019). Lesion size is associated with genetic polymorphisms in TLR1, TLR6, and TIRAP genes in patients with major abscesses and diabetic foot infections. European Journal of Clinical Microbiology & Infectious Diseases. 39(2). 353–360. 2 indexed citations

11.

Stappers, Mark H. T., et al.. (2019). C‐type lectin receptors of the Dectin‐1 cluster: Physiological roles and involvement in disease. European Journal of Immunology. 49(12). 2127–2133. 65 indexed citations

12.

Stappers, Mark H. T., Ferry Hagen, Peter Reimnitz, et al.. (2015). Bacteroides fragilis in biopsies of patients with major abscesses and diabetic foot infections: direct molecular versus culture-based detection. Diagnostic Microbiology and Infectious Disease. 85(2). 263–265. 4 indexed citations

13.

Stappers, Mark H. T., Ferry Hagen, Peter Reimnitz, et al.. (2015). Direct molecular versus culture-based assessment of Gram-positive cocci in biopsies of patients with major abscesses and diabetic foot infections. European Journal of Clinical Microbiology & Infectious Diseases. 34(9). 1885–1892. 15 indexed citations

14.

Ammerdorffer, Anne, Mark H. T. Stappers, Marije Oosting, et al.. (2015). Genetic variation in TLR10 is not associated with chronic Q fever, despite the inhibitory effect of TLR10 on Coxiella burnetii-induced cytokines in vitro. Cytokine. 77. 196–202. 7 indexed citations

15.

Stappers, Mark H. T., Marije Oosting, Mihai Ioana, et al.. (2015). Genetic Variation inTLR10, an Inhibitory Toll-Like Receptor, Influences Susceptibility to Complicated Skin and Skin Structure Infections. The Journal of Infectious Diseases. 212(9). 1491–1499. 22 indexed citations

16.

Stappers, Mark H. T., Marije Oosting, Theo S. Plantinga, et al.. (2014). TLR1, TLR2, and TLR6 Gene Polymorphisms Are Associated With Increased Susceptibility to Complicated Skin and Skin Structure Infections. The Journal of Infectious Diseases. 210(2). 311–318. 44 indexed citations

17.

Stappers, Mark H. T., Marije Oosting, Theo S. Plantinga, et al.. (2014). Polymorphisms in cytokine genes IL6, TNF, IL10, IL17A and IFNG influence susceptibility to complicated skin and skin structure infections. European Journal of Clinical Microbiology & Infectious Diseases. 33(12). 2267–2274. 14 indexed citations

18.

Stappers, Mark H. T., Nico Janssen, Marije Oosting, et al.. (2012). A role for TLR1, TLR2 and NOD2 in cytokine induction by Bacteroides fragilis. Cytokine. 60(3). 861–869. 11 indexed citations

19.

Ioana, Mihai, Bart Ferwerda, Theo S. Plantinga, et al.. (2012). Different Patterns of Toll-Like Receptor 2 Polymorphisms in Populations of Various Ethnic and Geographic Origins. Infection and Immunity. 80(5). 1917–1922. 39 indexed citations

20.

Marijnissen, Renoud J., Marije I. Koenders, Ruben L. Smeets, et al.. (2011). Increased expression of interleukin-22 by synovial Th17 cells during late stages of murine experimental arthritis is controlled by interleukin-1 and enhances bone degradation. Arthritis & Rheumatism. 63(10). 2939–2948. 55 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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