TRDJ Radstake

563 total citations
20 papers, 268 citations indexed

About

TRDJ Radstake is a scholar working on Pathology and Forensic Medicine, Rheumatology and Immunology. According to data from OpenAlex, TRDJ Radstake has authored 20 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pathology and Forensic Medicine, 9 papers in Rheumatology and 7 papers in Immunology. Recurrent topics in TRDJ Radstake's work include Systemic Sclerosis and Related Diseases (7 papers), Rheumatoid Arthritis Research and Therapies (5 papers) and Telomeres, Telomerase, and Senescence (3 papers). TRDJ Radstake is often cited by papers focused on Systemic Sclerosis and Related Diseases (7 papers), Rheumatoid Arthritis Research and Therapies (5 papers) and Telomeres, Telomerase, and Senescence (3 papers). TRDJ Radstake collaborates with scholars based in Netherlands, United Kingdom and United States. TRDJ Radstake's co-authors include Pilar Barrera, Marta Cossu, Piet L. C. M. van Riel, Erik J. M. Toonen, Hans Scheffer, Marieke J. H. Coenen, Barbara Franke, Joachim Albers, Joël A. G. van Roon and Aike A. Kruize and has published in prestigious journals such as Biological Psychiatry, Annals of the Rheumatic Diseases and Lara D. Veeken.

In The Last Decade

TRDJ Radstake

17 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
TRDJ Radstake Netherlands 10 118 97 52 50 47 20 268
M. Safy Netherlands 7 240 2.0× 149 1.5× 32 0.6× 38 0.8× 64 1.4× 10 375
Iwona Brzosko Poland 8 146 1.2× 125 1.3× 30 0.6× 23 0.5× 30 0.6× 28 276
Bernard Lauwerys Belgium 6 84 0.7× 129 1.3× 36 0.7× 38 0.8× 28 0.6× 16 251
Alice Lorenzi United Kingdom 8 124 1.1× 143 1.5× 31 0.6× 30 0.6× 39 0.8× 12 272
Shinichiro Nakachi Japan 10 93 0.8× 177 1.8× 73 1.4× 39 0.8× 25 0.5× 11 342
Karen Hambardzumyan Sweden 9 225 1.9× 63 0.6× 22 0.4× 50 1.0× 58 1.2× 15 282
D M Gerlag Netherlands 6 271 2.3× 135 1.4× 60 1.2× 44 0.9× 46 1.0× 11 418
Alicia Eimon Argentina 9 186 1.6× 170 1.8× 44 0.8× 30 0.6× 18 0.4× 14 317
Yasuyuki Todoroki Japan 10 110 0.9× 123 1.3× 26 0.5× 61 1.2× 18 0.4× 30 292
Norio Hanata Japan 9 93 0.8× 130 1.3× 42 0.8× 23 0.5× 22 0.5× 18 255

Countries citing papers authored by TRDJ Radstake

Since Specialization
Citations

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

Fields of papers citing papers by TRDJ Radstake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of TRDJ Radstake

This figure shows the co-authorship network connecting the top 25 collaborators of TRDJ Radstake. A scholar is included among the top collaborators of TRDJ Radstake 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 TRDJ Radstake. TRDJ Radstake 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
1.
2.
Kruize, Aike A., et al.. (2018). Optimizing conventional DMARD therapy for Sjögren's syndrome. Autoimmunity Reviews. 17(5). 480–492. 19 indexed citations
3.
Audia, Sylvain, Kim C. M. Santegoets, Gestur Vidarsson, et al.. (2017). Fcγ receptor expression on splenic macrophages in adult immune thrombocytopenia. Clinical & Experimental Immunology. 188(2). 275–282. 41 indexed citations
4.
5.
Marut, Wioleta, et al.. (2017). AB0165 CXCL4 may play a key role in systemic sclerosis by driving CD4 T cells to produce IL-17. Annals of the Rheumatic Diseases. 76. 1104–1104. 2 indexed citations
6.
Hillen, Maarten R., et al.. (2016). Targeting CD1c-expressing classical dendritic cells to prevent thymus and activation-regulated chemokine (TARC)-mediated T-cell chemotaxis in rheumatoid arthritis. Scandinavian Journal of Rheumatology. 46(1). 11–16. 12 indexed citations
7.
Boks, Marco P., Bart P. F. Rutten, TRDJ Radstake, et al.. (2015). Longitudinal Changes of Telomere Length and Epigenetic Age Related to Traumatic Stress and Post-traumatic Stress Disorder. Biological Psychiatry. 77(9). 1 indexed citations
8.
Broen, Jasper, et al.. (2013). THU0060 Clinical Phenotypes of Systemic Sclerosis Impact Telomere and Telosome Function in Distinct Patterns. Annals of the Rheumatic Diseases. 72. A183–A184. 1 indexed citations
9.
Cossu, Marta, et al.. (2011). An update on an immune system that goes awry in systemic sclerosis. Current Opinion in Rheumatology. 23(6). 505–510. 35 indexed citations
10.
Sweep, Fred C.G.J., Rogier Donders, A M M Eijsbouts, et al.. (2011). Can psychological interventions alter the physiological stress response of patients with rheumatoid arthritis. 1 indexed citations
11.
Shiels, Paul G., et al.. (2011). Biological ageing is a key determinant in systemic sclerosis. Journal of Translational Medicine. 9(S2). 13 indexed citations
12.
Vonk, Madelon C, et al.. (2010). Skewed X-chromosomal inactivation impacts T regulatory cell function in systemic sclerosis. Journal of Translational Medicine. 8(S1). 4 indexed citations
13.
Loof, Arnoud, Helmut Wittkowski, Waander L. van Heerde, et al.. (2010). Proteomic analysis of Systemic Sclerosis serum identifies the toll-like receptor agonists S100A8/A9 as a novel possible pathogenic marker. Journal of Translational Medicine. 8(S1). 2 indexed citations
14.
Toonen, Erik J. M., Pilar Barrera, TRDJ Radstake, et al.. (2008). Gene expression profiling in rheumatoid arthritis: current concepts and future directions. Annals of the Rheumatic Diseases. 67(12). 1663–1669. 33 indexed citations
15.
Toonen, Erik J. M., Marieke J. H. Coenen, Wietske Kievit, et al.. (2008). The tumour necrosis factor receptor superfamily member 1b 676T>G polymorphism in relation to response to infliximab and adalimumab treatment and disease severity in rheumatoid arthritis. Annals of the Rheumatic Diseases. 67(8). 1174–1177. 35 indexed citations
16.
Radstake, TRDJ, Robbert van der Voort, Antoine W.T. van Lieshout, et al.. (2005). Elevated CXCL16 expression by synovial macrophages recruits memory T cells into rheumatoid joints. Annals of the Rheumatic Diseases. 52. 1381–1391. 23 indexed citations
17.
18.
Abdollahi‐Roodsaz, Shahla, et al.. (2005). IL-1-driven cartilage and bone destruction are dependent on Toll-like receptor (TLR) 4, but not TLR2. Arthritis Research. 7(Suppl 1). P82–P82. 2 indexed citations
19.
Radstake, TRDJ, Pilar Barrera, Joachim Albers, et al.. (2000). Familial vs sporadic rheumatoid arthritis (RA). A prospective study in an early RA inception cohort. Lara D. Veeken. 39(3). 267–273. 18 indexed citations
20.
Barrera, Pilar, TRDJ Radstake, Joachim Albers, P.L. van Riel, & L B van de Putte. (1999). Familial aggregation of rheumatoid arthritis in The Netherlands: a cross-sectional hospital-based survey. European Consortium on Rheumatoid Arthritis families (ECRAF).. Lara D. Veeken. 38(5). 415–422. 18 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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