A M M Eijsbouts

973 total citations
17 papers, 738 citations indexed

About

A M M Eijsbouts is a scholar working on Rheumatology, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience. According to data from OpenAlex, A M M Eijsbouts has authored 17 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Rheumatology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Behavioral Neuroscience. Recurrent topics in A M M Eijsbouts's work include Rheumatoid Arthritis Research and Therapies (9 papers), Adrenal Hormones and Disorders (4 papers) and Systemic Lupus Erythematosus Research (4 papers). A M M Eijsbouts is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (9 papers), Adrenal Hormones and Disorders (4 papers) and Systemic Lupus Erythematosus Research (4 papers). A M M Eijsbouts collaborates with scholars based in Netherlands, Denmark and Ireland. A M M Eijsbouts's co-authors include Piet L. C. M. van Riel, F.H.J. van den Hoogen, Christian Enevold, Klaus Bendtzen, Timothy R. D. J. Radstake, Morten Svenson, Jaap Fransen, Roland Laan, B J Radovits and Johanna E Vriezekolk and has published in prestigious journals such as PLoS ONE, Annals of the Rheumatic Diseases and British Journal of Clinical Pharmacology.

In The Last Decade

A M M Eijsbouts

17 papers receiving 724 citations

Peers

A M M Eijsbouts

RHEUM

IMMUN

RNMI

GENET

HEMAT

Sameer Kotak United States

C Bologna France

May Y. Choi Canada

J. M. W. Hazes Netherlands

Klaus Krüger Germany

Louise Linde Denmark

Huib J. Dinant Netherlands

Lucía Silva-Fernández Spain

Shannen Nelson United States

Ingrid Strusberg Argentina

Sameer Kotak United States

A M M Eijsbouts

458 ×1.1

RHEUM

256 ×1.2

IMMUN

272 ×1.7

RNMI

48 ×0.5

GENET

153 ×1.5

HEMAT

Citations per year, relative to A M M Eijsbouts A M M Eijsbouts (= 1×) peers Sameer Kotak

Countries citing papers authored by A M M Eijsbouts

Since Specialization

Citations

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

Fields of papers citing papers by A M M Eijsbouts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A M M Eijsbouts. 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 A M M Eijsbouts. The network helps show where A M M Eijsbouts may publish in the future.

Co-authorship network of co-authors of A M M Eijsbouts

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

All Works

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17 of 17 papers shown

Mathijssen, Elke, Johanna E Vriezekolk, A M M Eijsbouts, F.H.J. van den Hoogen, & Bart J. F. van den Bemt. (2018). Support needs for medication use and the suitability of eHealth technologies to address these needs: a focus group study of older patients with rheumatoid arthritis. Patient Preference and Adherence. Volume 12. 349–358. 17 indexed citations

Vriezekolk, Johanna E, et al.. (2013). An acceptance-oriented cognitive-behavioral therapy in multimodal rehabilitation: A pre-post test evaluation in highly distressed patients with rheumatic diseases. Patient Education and Counseling. 91(3). 357–363. 14 indexed citations

Toonen, Erik J. M., Christian Gilissen, Barbara Franke, et al.. (2012). Validation Study of Existing Gene Expression Signatures for Anti-TNF Treatment in Patients with Rheumatoid Arthritis. PLoS ONE. 7(3). e33199–e33199. 49 indexed citations

Toonen, Erik J. M., Pilar Barrera, Jaap Fransen, et al.. (2012). Meta-analysis identified the TNFA -308G > A promoter polymorphism as a risk factor for disease severity in patients with rheumatoid arthritis. Arthritis Research & Therapy. 14(6). R264–R264. 19 indexed citations

Vriezekolk, Johanna E, W.G.J.M. van Lankveld, A M M Eijsbouts, et al.. (2011). The coping flexibility questionnaire: development and initial validation in patients with chronic rheumatic diseases. Rheumatology International. 32(8). 2383–2391. 42 indexed citations

Eijsbouts, A M M, Marlies Kempers, F.H.J. van den Hoogen, et al.. (2011). Effects of naproxen and sulphasalazine or methotrexate on hypothalamic-pituitary-adrenal axis activity in patients with rheumatoid arthritis.. PubMed. 29(1). 35–42. 3 indexed citations

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

Radovits, B J, et al.. (2010). Excess mortality emerges after 10 years in an inception cohort of early rheumatoid arthritis. Arthritis Care & Research. 62(3). 362–370. 104 indexed citations

Eijsbouts, A M M, Marlies Kempers, Maria T. E. Hopman, et al.. (2008). Effect of naproxen on the hypothalamic–pituitary– adrenal axis in healthy volunteers. British Journal of Clinical Pharmacology. 67(1). 22–28. 5 indexed citations

10.

Radstake, Timothy R. D. J., Morten Svenson, A M M Eijsbouts, et al.. (2008). Formation of antibodies against infliximab and adalimumab strongly correlates with functional drug levels and clinical responses in rheumatoid arthritis. Annals of the Rheumatic Diseases. 68(11). 1739–1745. 311 indexed citations

11.

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

12.

Lieshout, Antoine W.T. van, Jaap Fransen, Marcel Flendrie, et al.. (2007). Circulating levels of the chemokine CCL18 but not CXCL16 are elevated and correlate with disease activity in rheumatoid arthritis. Annals of the Rheumatic Diseases. 66(10). 1334–1338. 25 indexed citations

13.

Kievit, Wietske, Paco M J Welsing, Eddy Adang, et al.. (2006). Comment on the use of self‐reporting instruments to assess patients with rheumatoid arthritis: The longitudinal association between the DAS28 and the VAS general health. Arthritis Care & Research. 55(5). 745–750. 20 indexed citations

14.

Eijsbouts, A M M, et al.. (2005). Hypothalamic-pituitary-adrenal axis activity in patients with rheumatoid arthritis.. PubMed. 23(5). 658–64. 48 indexed citations

15.

Eijsbouts, A M M, et al.. (2004). Decreased prolactin response to hypoglycaemia in patients with rheumatoid arthritis: correlation with disease activity. Annals of the Rheumatic Diseases. 64(3). 433–437. 17 indexed citations

16.

Eijsbouts, A M M & Evelyn P. Murphy. (1999). The role of the hypothalamic–pituitary–adrenal axis in rheumatoid arthritis. Best Practice & Research Clinical Rheumatology. 13(4). 599–613. 14 indexed citations

17.

Eijsbouts, A M M, et al.. (1995). Undefined malabsorption syndrome with villous atrophy successfully reversed by treatment with cyclosporine.. PubMed. 7(8). 803–6. 14 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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