Trees Jansen

5.4k total citations · 2 hit papers
15 papers, 3.0k citations indexed

About

Trees Jansen is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Trees Jansen has authored 15 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 5 papers in Infectious Diseases and 4 papers in Epidemiology. Recurrent topics in Trees Jansen's work include Antifungal resistance and susceptibility (5 papers), Immune Response and Inflammation (4 papers) and Immune responses and vaccinations (4 papers). Trees Jansen is often cited by papers focused on Antifungal resistance and susceptibility (5 papers), Immune Response and Inflammation (4 papers) and Immune responses and vaccinations (4 papers). Trees Jansen collaborates with scholars based in Netherlands, United States and United Kingdom. Trees Jansen's co-authors include Mihai G. Netea, Liesbeth Jacobs, Leo A. B. Joosten, Ramnik J. Xavier, Bart Jan Kullberg, Cisca Wijmenga, J.W.M. van der Meer, Jessica Quintin, Daniela C. Ifrim and Hendrik G. Stunnenberg and has published in prestigious journals such as Cell, The Journal of Immunology and The Journal of Infectious Diseases.

In The Last Decade

Trees Jansen

15 papers receiving 3.0k citations

Hit Papers

align trajectories

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 Infection Affords Protection against Reinfection via Functional Reprogramming of Monocytes

2012 918 citations Jessica Quintin, Sadia Saeed et al. Cell Host & Microbe profile →
Linking the Human Gut Microbiome to Inflammatory Cytokine Production Capacity

2016 826 citations Melanie Schirmer, Sanne P. Smeekens et al. Cell profile →

Peers

Trees Jansen

IMMUN

EPIDE

GENET

Liesbeth Jacobs Netherlands

Rob J.W. Arts Netherlands

Shokrollah Elahi Canada

Shih‐Chin Cheng Netherlands

Valérie Verhasselt Australia

Kenneth Croitoru Canada

Satoshi Hayakawa Japan

Hong Peng Jia United States

Eva Sverremark‐Ekström Sweden

Jessica Quintin Netherlands

Liesbeth Jacobs Netherlands

Trees Jansen

1.7k ×1.0

IMMUN

1.1k ×1.0

917 ×1.2

718 ×1.4

EPIDE

350 ×1.1

GENET

Citations per year, relative to Trees Jansen Trees Jansen (= 1×) peers Liesbeth Jacobs

Countries citing papers authored by Trees Jansen

Since Specialization

Citations

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

Fields of papers citing papers by Trees Jansen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trees Jansen

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

All Works

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15 of 15 papers shown

Moorlag, Simone J.C.F.M., Nargis Khan, Boris Novakovic, et al.. (2020). β-Glucan Induces Protective Trained Immunity against Mycobacterium tuberculosis Infection: A Key Role for IL-1. Cell Reports. 31(7). 107634–107634. 217 indexed citations

Domínguez‐Andrés, Jorge, Anaísa V. Ferreira, Trees Jansen, et al.. (2019). Bromodomain inhibitor I‐BET151 suppresses immune responses during fungal–immune interaction. European Journal of Immunology. 49(11). 2044–2050. 27 indexed citations

Schirmer, Melanie, Sanne P. Smeekens, Hera Vlamakis, et al.. (2016). Linking the Human Gut Microbiome to Inflammatory Cytokine Production Capacity. Cell. 167(4). 1125–1136.e8. 826 indexed citations breakdown →

Vogelaar, Ingrid P., Marjolijn J. L. Ligtenberg, Rachel S. van der Post, et al.. (2015). Recurrent candidiasis and early-onset gastric cancer in a patient with a genetically defined partial MYD88 defect. Familial Cancer. 15(2). 289–296. 10 indexed citations

Smeekens, Sanne P., Mark S. Gresnigt, Katharina L. Becker, et al.. (2014). An anti-inflammatory property of Candida albicans β-glucan: Induction of high levels of interleukin-1 receptor antagonist via a Dectin-1/CR3 independent mechanism. Cytokine. 71(2). 215–222. 42 indexed citations

Ogdie, Alexis, William J. Taylor, Mark Weatherall, et al.. (2014). AB0826 Imaging Modalities for the Classification of Gout: Systematic Literature Review and Meta-Analysis. Annals of the Rheumatic Diseases. 73. 1076–1076. 5 indexed citations

Ifrim, Daniela C., Jessica Quintin, Leo A. B. Joosten, et al.. (2014). Trained Immunity or Tolerance: Opposing Functional Programs Induced in Human Monocytes after Engagement of Various Pattern Recognition Receptors. Clinical and Vaccine Immunology. 21(4). 534–545. 257 indexed citations

Jaeger, Martin, Trees Jansen, Liesbeth Jacobs, et al.. (2013). Chocolate consumption modulates cytokine production in healthy individuals. Cytokine. 62(1). 40–43. 14 indexed citations

Ifrim, Daniela C., Leo A. B. Joosten, Bart Jan Kullberg, et al.. (2013). Candida albicans Primes TLR Cytokine Responses through a Dectin-1/Raf-1–Mediated Pathway. The Journal of Immunology. 190(8). 4129–4135. 53 indexed citations

10.

Quintin, Jessica, Sadia Saeed, Joost H.A. Martens, et al.. (2012). Candida albicans Infection Affords Protection against Reinfection via Functional Reprogramming of Monocytes. Cell Host & Microbe. 12(2). 223–232. 918 indexed citations breakdown →

11.

Smeekens, Sanne P., Frank L. van de Veerdonk, Leo A. B. Joosten, et al.. (2011). The classical CD14⁺⁺CD16⁻ monocytes, but not the patrolling CD14⁺CD16⁺ monocytes, promote Th17 responses to Candida albicans. European Journal of Immunology. 41(10). 2915–2924. 42 indexed citations

12.

Veerdonk, Frank L. van de, et al.. (2008). Redundant role of TLR9 for anti-Candida host defense. Immunobiology. 213(8). 613–620. 45 indexed citations

13.

Gow, Neil A. R., Mihai G. Netea, Carol A. Munro, et al.. (2007). Immune Recognition ofCandida albicansβ‐glucan by Dectin‐1. The Journal of Infectious Diseases. 196(10). 1565–1571. 253 indexed citations

14.

McCall, Matthew B. B., Mihai G. Netea, Cornelus C. Hermsen, et al.. (2007). Plasmodium falciparum Infection Causes Proinflammatory Priming of Human TLR Responses. The Journal of Immunology. 179(1). 162–171. 92 indexed citations

15.

Netea, Mihai G., Gerben Ferwerda, Dirk J. de Jong, et al.. (2005). Nucleotide-Binding Oligomerization Domain-2 Modulates Specific TLR Pathways for the Induction of Cytokine Release. The Journal of Immunology. 174(10). 6518–6523. 230 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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