Jan Damoiseaux

16.3k total citations
301 papers, 10.2k citations indexed

About

Jan Damoiseaux is a scholar working on Immunology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jan Damoiseaux has authored 301 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Immunology, 76 papers in Pathology and Forensic Medicine and 74 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jan Damoiseaux's work include T-cell and B-cell Immunology (56 papers), Vasculitis and related conditions (51 papers) and Systemic Lupus Erythematosus Research (43 papers). Jan Damoiseaux is often cited by papers focused on T-cell and B-cell Immunology (56 papers), Vasculitis and related conditions (51 papers) and Systemic Lupus Erythematosus Research (43 papers). Jan Damoiseaux collaborates with scholars based in Netherlands, United States and Germany. Jan Damoiseaux's co-authors include Jan Willem Cohen Tervaert, Raymond Hupperts, Joost Smolders, Mariëlle Thewissen, Ed A. Döpp, Pieter van Paassen, Paul Menheere, Evelyn Peelen, C Dijkstra and Anne‐Hilde Muris and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Jan Damoiseaux

290 papers receiving 10.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Damoiseaux Netherlands 53 4.0k 2.9k 1.9k 1.8k 1.5k 301 10.2k
Tadashi Yoshino Japan 54 2.7k 0.7× 4.4k 1.5× 2.2k 1.1× 1.2k 0.7× 2.4k 1.6× 524 12.6k
Roberto Giacomelli Italy 54 3.1k 0.8× 2.4k 0.8× 2.5k 1.3× 828 0.5× 2.1k 1.3× 304 9.3k
Zoltán Szekanecz Hungary 63 3.4k 0.9× 2.0k 0.7× 5.6k 3.0× 839 0.5× 2.3k 1.5× 326 12.1k
Gianfranco Ferraccioli Italy 59 2.7k 0.7× 2.1k 0.7× 6.0k 3.2× 1.2k 0.7× 1.1k 0.8× 370 11.5k
Arnold E. Postlethwaite United States 52 2.1k 0.5× 2.6k 0.9× 1.0k 0.5× 1.7k 0.9× 2.7k 1.7× 166 11.0k
Kazuyuki Yoshizaki Japan 53 4.4k 1.1× 1.4k 0.5× 2.6k 1.4× 597 0.3× 2.7k 1.8× 143 12.2k
Alberto Sulli Italy 55 2.0k 0.5× 4.4k 1.5× 2.2k 1.2× 850 0.5× 1.0k 0.7× 268 9.0k
Norihiro Nishimoto Japan 46 3.9k 1.0× 1.0k 0.3× 3.6k 1.9× 889 0.5× 2.2k 1.5× 132 11.0k
Gwan Gyu Song South Korea 44 2.9k 0.7× 1.1k 0.4× 3.7k 2.0× 681 0.4× 1.8k 1.2× 457 9.1k
Javier Martı́n Spain 60 6.6k 1.7× 1.5k 0.5× 5.8k 3.1× 2.0k 1.1× 3.3k 2.2× 499 15.0k

Countries citing papers authored by Jan Damoiseaux

Since Specialization
Citations

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

Fields of papers citing papers by Jan Damoiseaux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Damoiseaux

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

All Works

20 of 20 papers shown
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Damoiseaux, Jan, et al.. (2024). Cutting edge confusion about cut-off settings in autoimmune diagnostics. Autoimmunity Reviews. 23(11). 103650–103650.
3.
Yao, Yaobing, Peter Molenaar, Jan Damoiseaux, et al.. (2024). Anti-GABAB receptor encephalitis: clinical and laboratory characteristics, imaging, treatments and prognosis. Frontiers in Immunology. 15. 1442733–1442733.
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Mariotto, Sara, Anna E.M. Bastiaansen, Manuela Paunovic, et al.. (2023). Predictive Value of Serum Neurofilament Light Chain Levels in Anti-NMDA Receptor Encephalitis. Neurology. 100(21). e2204–e2213. 14 indexed citations
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Mulder, A. H. L., et al.. (2023). Multicenter study to compare the diagnostic performance of CLIA vs. FEIA transglutaminase IgA assays for the diagnosis of celiac disease. Clinical Chemistry and Laboratory Medicine (CCLM). 61(8). 1446–1454. 9 indexed citations
8.
Mané-Damas, Marina, et al.. (2023). Anti-GAD65 autoantibody levels measured by ELISA and alternative types of immunoassays in relation to neuropsychiatric diseases versus diabetes mellitus type 1. Frontiers in Neurology. 14. 1111063–1111063. 3 indexed citations
9.
Potjewijd, Judith, Karin A. Boomars, Femke de Vries, et al.. (2023). Plasma Dephosphorylated-Uncarboxylated Matrix Gla-Protein in Systemic Sclerosis Patients: Biomarker Potential for Vascular Calcification and Inflammation. Diagnostics. 13(23). 3526–3526. 7 indexed citations
10.
Brandts, Lloyd, Jan Damoiseaux, Monique Hochstenbag, et al.. (2021). The association between anti‐acetylcholine receptor antibody level and clinical improvement in myasthenia gravis. European Journal of Neurology. 29(4). 1187–1197. 18 indexed citations
11.
Mané-Damas, Marina, Jo Stevens, Kishore S. Malyavantham, et al.. (2021). The search for an autoimmune origin of psychotic disorders: Prevalence of autoantibodies against hippocampus antigens, glutamic acid decarboxylase and nuclear antigens. Schizophrenia Research. 228. 462–471. 8 indexed citations
12.
Damoiseaux, Jan, Xavier Bossuyt, Sylvia Broeders, et al.. (2018). International Consensus on ANA Patterns (ICAP) : inbedding in het Nederlandse taalgebied. Research Publications (Maastricht University). 1(3). 17–26. 1 indexed citations
13.
Kemna, Michael J., Rosina Plomp, Pieter van Paassen, et al.. (2017). GLYCOSYLATION AND SIALYLATION LEVELS OF IGG PREDICT RELAPSES IN PATIENTS WITH PR3-ANCA ASSOCIATED VASCULITIS. Lara D. Veeken. 56. 119–120. 1 indexed citations
14.
Smolders, Joost, Evelyn Peelen, Mariëlle Thewissen, et al.. (2010). Safety and T Cell Modulating Effects of High Dose Vitamin D3 Supplementation in Multiple Sclerosis. PLoS ONE. 5(12). e15235–e15235. 128 indexed citations
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Smolders, Joost, Jan Damoiseaux, Paul Menheere, & Raymond Hupperts. (2008). Vitamin D as an immune modulator in multiple sclerosis, a review. Journal of Neuroimmunology. 194(1-2). 7–17. 225 indexed citations
17.
Damoiseaux, Jan. (2006). Regulatory T cells: back to the future.. PubMed. 64(1). 4–9. 20 indexed citations
18.
Cautain, Bastien, Jan Damoiseaux, I Bernard, et al.. (2002). The CD8 T Cell Compartment Plays a Dominant Role in the Deficiency of Brown-Norway Rats to Mount a Proper Type 1 Immune Response. The Journal of Immunology. 168(1). 162–170. 17 indexed citations
19.
Subra, Jean‐François, Bastien Cautain, Emmanuel Xystrakis, et al.. (2001). The Balance Between CD45RChigh and CD45RClow CD4 T Cells in Rats Is Intrinsic to Bone Marrow-Derived Cells and Is Genetically Controlled. The Journal of Immunology. 166(5). 2944–2952. 36 indexed citations
20.
Damoiseaux, Jan, et al.. (1993). Three Monoclonal Antibodies to Antigen Presenting Cells in the Rat with Differential Influence on Cellular Interactions. Advances in experimental medicine and biology. 329. 179–184. 5 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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