Mariska E. A. van Dijk

521 total citations
7 papers, 403 citations indexed

About

Mariska E. A. van Dijk is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Mariska E. A. van Dijk has authored 7 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in Mariska E. A. van Dijk's work include Respiratory viral infections research (4 papers), Immune Cell Function and Interaction (4 papers) and Neonatal Respiratory Health Research (2 papers). Mariska E. A. van Dijk is often cited by papers focused on Respiratory viral infections research (4 papers), Immune Cell Function and Interaction (4 papers) and Neonatal Respiratory Health Research (2 papers). Mariska E. A. van Dijk collaborates with scholars based in Netherlands, United Kingdom and France. Mariska E. A. van Dijk's co-authors include Grada M. van Bleek, Jan L. L. Kimpen, Berent J. Prakken, Michaël V. Lukens, Hans Timmerman, I. M. de Kleer, Ger T. Rijkers, Merel van Elk, Menno Hoekstra and Sytze de Roock and has published in prestigious journals such as The Journal of Immunology, Virology and Clinical & Experimental Allergy.

In The Last Decade

Mariska E. A. van Dijk

7 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mariska E. A. van Dijk Netherlands 7 230 152 119 90 69 7 403
Wendy W. C. van Maren Netherlands 10 182 0.8× 231 1.5× 86 0.7× 75 0.8× 95 1.4× 10 420
Lyndsey M. Muehling United States 12 59 0.3× 209 1.4× 97 0.8× 91 1.0× 96 1.4× 21 518
Monia Khémiri Tunisia 10 41 0.2× 63 0.4× 86 0.7× 75 0.8× 72 1.0× 42 302
Chenchen Yu United States 9 61 0.3× 205 1.3× 35 0.3× 93 1.0× 58 0.8× 17 442
Spyridon Megremis Greece 11 162 0.7× 29 0.2× 116 1.0× 54 0.6× 80 1.2× 25 340
Claire L. Fellman United States 11 102 0.4× 107 0.7× 53 0.4× 39 0.4× 53 0.8× 24 376
Robert W. Loss United States 8 129 0.6× 64 0.4× 66 0.6× 53 0.6× 20 0.3× 8 358
Carla Selvaggi Italy 16 267 1.2× 183 1.2× 85 0.7× 174 1.9× 171 2.5× 24 616
Manon M. Oude Nijhuis Netherlands 8 98 0.4× 58 0.4× 31 0.3× 43 0.5× 50 0.7× 12 294
Ansen B.P. Burr United States 8 81 0.4× 153 1.0× 85 0.7× 78 0.9× 229 3.3× 10 555

Countries citing papers authored by Mariska E. A. van Dijk

Since Specialization
Citations

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

Fields of papers citing papers by Mariska E. A. van Dijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mariska E. A. van Dijk. 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 Mariska E. A. van Dijk. The network helps show where Mariska E. A. van Dijk may publish in the future.

Co-authorship network of co-authors of Mariska E. A. van Dijk

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

All Works

7 of 7 papers shown
1.
Scholman, Rianne C., Barbara Giovannone, Sanne Hiddingh, et al.. (2017). Effect of anticoagulants on 162 circulating immune related proteins in healthy subjects. Cytokine. 106. 114–124. 32 indexed citations
2.
Roock, Sytze de, Merel van Elk, Mariska E. A. van Dijk, et al.. (2009). Lactic acid bacteria differ in their ability to induce functional regulatory T cells in humans. Clinical & Experimental Allergy. 40(1). 103–110. 103 indexed citations
3.
Heidema, Jojanneke, Michaël V. Lukens, Wendy W. C. van Maren, et al.. (2007). CD8+ T Cell Responses in Bronchoalveolar Lavage Fluid and Peripheral Blood Mononuclear Cells of Infants with Severe Primary Respiratory Syncytial Virus Infections. The Journal of Immunology. 179(12). 8410–8417. 94 indexed citations
4.
Lukens, Michaël V., E Claassen, Mariska E. A. van Dijk, et al.. (2006). Characterization of the CD8+ T cell responses directed against respiratory syncytial virus during primary and secondary infection in C57BL/6 mice. Virology. 352(1). 157–168. 48 indexed citations
5.
Jong, Esther C. de, Mariska E. A. van Dijk, Paul Roholl, et al.. (2005). Respiratory Syncytial Virus Infection of Monocyte-Derived Dendritic Cells Decreases Their Capacity to Activate CD4 T Cells. The Journal of Immunology. 175(9). 5904–5911. 103 indexed citations
6.
Heidema, Jojanneke, Martien C. M. Poelen, Mariska E. A. van Dijk, et al.. (2004). HLA-DP4 presents an immunodominant peptide from the RSV G protein to CD4 T cells. Virology. 326(2). 220–230. 17 indexed citations
7.
Bilsen, Jolanda van, et al.. (2004). Matrix Metalloproteinases as Targets for the Immune System during Experimental Arthritis. The Journal of Immunology. 172(8). 5063–5068. 6 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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