Marjan Vanheusden

704 total citations
8 papers, 526 citations indexed

About

Marjan Vanheusden is a scholar working on Immunology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Marjan Vanheusden has authored 8 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 2 papers in Genetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Marjan Vanheusden's work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (3 papers). Marjan Vanheusden is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (3 papers). Marjan Vanheusden collaborates with scholars based in Belgium, Netherlands and United States. Marjan Vanheusden's co-authors include Niels Hellings, Piet Stinissen, Veerle Somers, Bart Van Wijmeersch, Bieke Broux, Judith Fraussen, Raymond Hupperts, Nele Claes, Liesbet M. Peeters and Wilfried Gyselaers and has published in prestigious journals such as The Journal of Immunology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Marjan Vanheusden

8 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marjan Vanheusden Belgium 8 257 138 115 79 76 8 526
Susana Sainz de la Maza Spain 13 122 0.5× 177 1.3× 204 1.8× 33 0.4× 80 1.1× 39 584
Tara Karnezis Australia 5 187 0.7× 86 0.6× 142 1.2× 41 0.5× 19 0.3× 9 425
Keith A. Sikora United States 13 216 0.8× 77 0.6× 103 0.9× 73 0.9× 16 0.2× 22 478
Neval Özkaya United States 10 180 0.7× 75 0.5× 233 2.0× 54 0.7× 25 0.3× 26 724
А. А. Останин Russia 13 248 1.0× 147 1.1× 74 0.6× 37 0.5× 36 0.5× 100 542
Ana Pérez‐Vallés Spain 13 83 0.3× 55 0.4× 51 0.4× 54 0.7× 67 0.9× 21 447
César Álvarez-González United Kingdom 9 144 0.6× 91 0.7× 258 2.2× 26 0.3× 22 0.3× 14 442
Zhidan Tu China 11 211 0.8× 128 0.9× 22 0.2× 67 0.8× 29 0.4× 13 480
Anton Lukes Switzerland 12 79 0.3× 119 0.9× 102 0.9× 53 0.7× 92 1.2× 21 685
Christopher E. Mandigo United States 13 120 0.5× 138 1.0× 78 0.7× 38 0.5× 27 0.4× 24 467

Countries citing papers authored by Marjan Vanheusden

Since Specialization
Citations

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

Fields of papers citing papers by Marjan Vanheusden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marjan Vanheusden

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

All Works

8 of 8 papers shown
1.
Vanheusden, Marjan, et al.. (2021). Treg-Resistant Cytotoxic CD4+ T Cells Dictate T Helper Cells in Their Vicinity: TH17 Skewing and Modulation of Proliferation. International Journal of Molecular Sciences. 22(11). 5660–5660. 9 indexed citations
2.
Peeters, Liesbet M., Marjan Vanheusden, Veerle Somers, et al.. (2017). Cytotoxic CD4+ T Cells Drive Multiple Sclerosis Progression. Frontiers in Immunology. 8. 1160–1160. 58 indexed citations
3.
Vanheusden, Marjan, Bieke Broux, Suzanne P. M. Welten, et al.. (2017). Cytomegalovirus infection exacerbates autoimmune mediated neuroinflammation. Scientific Reports. 7(1). 663–663. 49 indexed citations
4.
Bogie, Jeroen F. J., Stylianos Ravanidis, Pascal Gervois, et al.. (2017). Human Wharton's Jelly-Derived Stem Cells Display a Distinct Immunomodulatory and Proregenerative Transcriptional Signature Compared to Bone Marrow-Derived Stem Cells. Stem Cells and Development. 27(2). 65–84. 83 indexed citations
5.
Claes, Nele, Judith Fraussen, Marjan Vanheusden, et al.. (2016). Age-Associated B Cells with Proinflammatory Characteristics Are Expanded in a Proportion of Multiple Sclerosis Patients. The Journal of Immunology. 197(12). 4576–4583. 149 indexed citations
6.
Broux, Bieke, Mark R. Mizee, Marjan Vanheusden, et al.. (2015). IL-15 Amplifies the Pathogenic Properties of CD4+CD28− T Cells in Multiple Sclerosis. The Journal of Immunology. 194(5). 2099–2109. 60 indexed citations
7.
Vanheusden, Marjan, Jeroen F. J. Bogie, Stylianos Ravanidis, et al.. (2015). Human Wharton's Jelly-Derived Stem Cells Display Immunomodulatory Properties and Transiently Improve Rat Experimental Autoimmune Encephalomyelitis. Cell Transplantation. 24(10). 2077–2098. 73 indexed citations
8.
Vanheusden, Marjan, Piet Stinissen, Bert A. ‘t Hart, & Niels Hellings. (2014). Cytomegalovirus: a culprit or protector in multiple sclerosis?. Trends in Molecular Medicine. 21(1). 16–23. 45 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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