Joël van Roon

815 total citations
9 papers, 222 citations indexed

About

Joël van Roon is a scholar working on Immunology, Rheumatology and Physiology. According to data from OpenAlex, Joël van Roon has authored 9 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Rheumatology and 3 papers in Physiology. Recurrent topics in Joël van Roon's work include Salivary Gland Disorders and Functions (3 papers), Systemic Lupus Erythematosus Research (3 papers) and Immunotherapy and Immune Responses (2 papers). Joël van Roon is often cited by papers focused on Salivary Gland Disorders and Functions (3 papers), Systemic Lupus Erythematosus Research (3 papers) and Immunotherapy and Immune Responses (2 papers). Joël van Roon collaborates with scholars based in Netherlands, United Kingdom and Cuba. Joël van Roon's co-authors include T.N. de Boer, S.C. Mastbergen, Floris P. J. G. Lafeber, J. W. J. Bijlsma, Manon C. Zweers, Lucas L. van den Hoogen, Gary P. Sims, Ruth Fritsch‐Stork, Paco M J Welsing and Jacob M. van Laar and has published in prestigious journals such as The FASEB Journal, Frontiers in Immunology and Annals of the Rheumatic Diseases.

In The Last Decade

Joël van Roon

8 papers receiving 218 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joël van Roon Netherlands 6 111 62 52 51 39 9 222
Leandra Mfuna‐Endam Canada 6 142 1.3× 158 2.5× 109 2.1× 24 0.5× 13 0.3× 9 343
Yasumi Kitahara Japan 9 104 0.9× 83 1.3× 31 0.6× 75 1.5× 14 0.4× 20 353
Priya Kulkarni India 7 137 1.2× 79 1.3× 40 0.8× 29 0.6× 7 0.2× 11 208
Shota Toyoshima Japan 11 74 0.7× 70 1.1× 12 0.2× 146 2.9× 11 0.3× 18 288
Jérôme Coulombe Canada 12 53 0.5× 68 1.1× 19 0.4× 9 0.2× 23 0.6× 31 285
Sujatha Mohan India 5 81 0.7× 137 2.2× 13 0.3× 50 1.0× 11 0.3× 6 272
Yanhong Bu China 13 64 0.6× 249 4.0× 19 0.4× 80 1.6× 38 1.0× 26 377
I. Gina Rojas Chile 10 21 0.2× 61 1.0× 20 0.4× 115 2.3× 53 1.4× 13 273
Michael A. Diaz United States 6 55 0.5× 75 1.2× 49 0.9× 11 0.2× 7 0.2× 9 200
Haojie Wu China 9 34 0.3× 235 3.8× 20 0.4× 46 0.9× 32 0.8× 22 348

Countries citing papers authored by Joël van Roon

Since Specialization
Citations

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

Fields of papers citing papers by Joël van Roon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joël van Roon. 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 Joël van Roon. The network helps show where Joël van Roon may publish in the future.

Co-authorship network of co-authors of Joël van Roon

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

All Works

9 of 9 papers shown
1.
Roodenrijs, Nadia M T, Paco M J Welsing, Joël van Roon, et al.. (2022). Mechanisms underlying DMARD inefficacy in difficult-to-treat rheumatoid arthritis: a narrative review with systematic literature search. Lara D. Veeken. 61(9). 3552–3566. 35 indexed citations
2.
Hillen, Maarten R., Aridaman Pandit, Sofie L. M. Blokland, et al.. (2019). THU0222 PLASMACYTOID DCS FROM PATIENTS WITH SJÖGREN'S SYNDROME ARE TRANSCRIPTIONALLY PRIMED FOR ENHANCED PRO-INFLAMMATORY CYTOKINE PRODUCTION. Annals of the Rheumatic Diseases. 78. 389–389. 1 indexed citations
3.
Roon, Joël van, Sofie L. M. Blokland, Paco M J Welsing, et al.. (2019). THU0238 CLINICAL EFFICACY OF LEFLUNOMIDE/HYDROXYCHLOROQUINE COMBINATION THERAPY IN PRIMARY SJOGREN'S SYNDROME IS PREDICTED BY SERUM PROTEOME BIOMARKERS – RESULTS FROM REPURPSS-I. Annals of the Rheumatic Diseases. 78. 396–396. 2 indexed citations
4.
Rietveld, Anke, Lucas L. van den Hoogen, Nicola Bizzaro, et al.. (2018). Autoantibodies to Cytosolic 5′-Nucleotidase 1A in Primary Sjögren’s Syndrome and Systemic Lupus Erythematosus. Frontiers in Immunology. 9. 1200–1200. 30 indexed citations
5.
6.
Hoogen, Lucas L. van den, Gary P. Sims, Joël van Roon, & Ruth Fritsch‐Stork. (2015). Aging and Systemic Lupus Erythematosus - Immunosenescence and Beyond. Current Aging Science. 8(2). 158–177. 22 indexed citations
7.
Barberá, Ariana, Greta Garrido, Viviana Falcón, et al.. (2013). APL-1, an altered peptide ligand derived from human heat-shock protein 60, selectively induces apoptosis in activated CD4+ CD25+ T cells from peripheral blood of rheumatoid arthritis patients. International Immunopharmacology. 17(4). 1075–1083. 20 indexed citations
8.
Zweers, Manon C., T.N. de Boer, Joël van Roon, et al.. (2011). Celecoxib: considerations regarding its potential disease-modifying properties in osteoarthritis. Arthritis Research & Therapy. 13(5). 239–239. 94 indexed citations
9.
Meyaard, Linde, Talitha de Ruiter, Joël van Roon, et al.. (2008). Leukocyte‐associated immunoglobulin‐like receptor (LAIR)‐2 is a soluble competitor of the collagen/LAIR‐1 inhibitory immune interaction. The FASEB Journal. 22(S1).

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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