Sander de Ridder

485 total citations
11 papers, 296 citations indexed

About

Sander de Ridder is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Sander de Ridder has authored 11 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Rheumatology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Cognitive Neuroscience. Recurrent topics in Sander de Ridder's work include Systemic Lupus Erythematosus Research (5 papers), Rheumatoid Arthritis Research and Therapies (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Sander de Ridder is often cited by papers focused on Systemic Lupus Erythematosus Research (5 papers), Rheumatoid Arthritis Research and Therapies (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Sander de Ridder collaborates with scholars based in Netherlands, Austria and Sweden. Sander de Ridder's co-authors include Cornelis L. Verweij, Saskia Vosslamber, Michael T. Nurmohamed, Alexandre E. Voskuyl, Maarten Boers, Hennie G. Raterman, Willem F. Lems, Ben A. C. Dijkmans, Mark A. van de Wiel and Arjen van Ooyen and has published in prestigious journals such as PLoS ONE, Annals of the Rheumatic Diseases and Arthritis Research & Therapy.

In The Last Decade

Sander de Ridder

11 papers receiving 289 citations

Peers

Sander de Ridder
Paulette Jacobs United States
Alejandro M. Gomez Netherlands
Man Jin Kim South Korea
R. Medaer Belgium
Paulette Jacobs United States
Sander de Ridder
Citations per year, relative to Sander de Ridder Sander de Ridder (= 1×) peers Paulette Jacobs

Countries citing papers authored by Sander de Ridder

Since Specialization
Citations

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

Fields of papers citing papers by Sander de Ridder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sander de Ridder. 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 Sander de Ridder. The network helps show where Sander de Ridder may publish in the future.

Co-authorship network of co-authors of Sander de Ridder

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

All Works

11 of 11 papers shown
1.
Lübbers, Joyce, Marian H. van Beers-Tas, Saskia Vosslamber, et al.. (2016). Changes in peripheral blood lymphocyte subsets during arthritis development in arthralgia patients. Arthritis Research & Therapy. 18(1). 205–205. 33 indexed citations
2.
Vosslamber, Saskia, Sander de Ridder, John G. Wesseling, et al.. (2016). Physiological evidence for diversification of IFNα- and IFNβ-mediated response programs in different autoimmune diseases. Arthritis Research & Therapy. 18(1). 49–49. 28 indexed citations
3.
Ridder, Sander de, et al.. (2016). Type I interferon response gene expression in established rheumatoid arthritis is not associated with clinical parameters. Arthritis Research & Therapy. 18(1). 290–290. 18 indexed citations
4.
Ridder, Sander de, Gerben M. Visser, Jan‐Willem Boiten, et al.. (2015). OpenClinica. Europe PMC (PubMed Central). 5(Suppl 1). S2–S2. 23 indexed citations
5.
Ooyen, Arjen van, et al.. (2014). Independently Outgrowing Neurons and Geometry-Based Synapse Formation Produce Networks with Realistic Synaptic Connectivity. PLoS ONE. 9(1). e85858–e85858. 25 indexed citations
6.
Vosslamber, Saskia, Carina L. Bos, Joyce Lübbers, et al.. (2014). A1.77 Interferon regulatory factor 5 (IRF5) gene variant RS2004640 is associated with carotid intima media thickness in rheumatoid arthritis patients. Annals of the Rheumatic Diseases. 73. A34–A34. 3 indexed citations
7.
Raterman, Hennie G., Saskia Vosslamber, Sander de Ridder, et al.. (2012). The interferon type I signature towards prediction of non-response to rituximab in rheumatoid arthritis patients. Arthritis Research & Therapy. 14(2). R95–R95. 143 indexed citations
8.
Raterman, Hennie G., Saskia Vosslamber, Sander de Ridder, et al.. (2012). The interferon type I signature towards prediction of non-response to rituximab in rheumatoid arthritis patients. Annals of the Rheumatic Diseases. 71. A5–A5. 10 indexed citations
9.
Pelt, Jaap van, et al.. (2010). An Algorithm for Finding Candidate Synaptic Sites in Computer Generated Networks of Neurons with Realistic Morphologies. Frontiers in Computational Neuroscience. 4. 148–148. 10 indexed citations
10.
Ridder, Sander de, et al.. (2010). Lactate: panicking doctororpanicking patient?. BMJ Case Reports. 2010. bcr1020092319–bcr1020092319. 2 indexed citations
11.
Pelt, Jaap van, et al.. (2009). Emerging synaptic connectivity in simulated networks of outgrowing neurons with realistic morphologies using NETMORPH. Frontiers in Neuroinformatics. 3. 1 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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