M. K. Leijsma

797 total citations
18 papers, 600 citations indexed

About

M. K. Leijsma is a scholar working on Rheumatology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, M. K. Leijsma has authored 18 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Rheumatology, 4 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in M. K. Leijsma's work include Spondyloarthritis Studies and Treatments (10 papers), Rheumatoid Arthritis Research and Therapies (9 papers) and Bone and Joint Diseases (3 papers). M. K. Leijsma is often cited by papers focused on Spondyloarthritis Studies and Treatments (10 papers), Rheumatoid Arthritis Research and Therapies (9 papers) and Bone and Joint Diseases (3 papers). M. K. Leijsma collaborates with scholars based in Netherlands, United Kingdom and Sweden. M. K. Leijsma's co-authors include Elisabeth Brouwer, Anneke Spoorenberg, E. van der Veer, Suzanne Arends, Cees G. M. Kallenberg, Henk Groen, P. M. Houtman, Tim Jansen, P. M. Houtman and C. G. M. Kallenberg and has published in prestigious journals such as PLoS ONE, Annals of the Rheumatic Diseases and Physical Therapy.

In The Last Decade

M. K. Leijsma

17 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. K. Leijsma Netherlands 11 457 194 127 123 92 18 600
Raphael Micheroli Switzerland 13 513 1.1× 331 1.7× 80 0.6× 158 1.3× 79 0.9× 51 662
Jan Lenaerts Belgium 13 354 0.8× 238 1.2× 62 0.5× 97 0.8× 56 0.6× 36 622
Michael Sejer Hansen Denmark 9 668 1.5× 249 1.3× 59 0.5× 265 2.2× 85 0.9× 12 755
Rasho Rashkov Bulgaria 12 250 0.5× 173 0.9× 74 0.6× 47 0.4× 96 1.0× 47 475
Natalia Palmou‐Fontana Spain 13 280 0.6× 131 0.7× 59 0.5× 127 1.0× 34 0.4× 27 508
Raja Bobba Canada 7 259 0.6× 117 0.6× 45 0.4× 68 0.6× 41 0.4× 10 391
C McClinton United Kingdom 11 571 1.2× 181 0.9× 45 0.4× 209 1.7× 27 0.3× 14 714
Ejaz Pathan United Kingdom 14 541 1.2× 369 1.9× 57 0.4× 175 1.4× 20 0.2× 28 737
Pascale Schwab United States 11 178 0.4× 91 0.5× 93 0.7× 41 0.3× 48 0.5× 18 457
Gianantonio Saviola Italy 15 267 0.6× 97 0.5× 60 0.5× 45 0.4× 68 0.7× 42 466

Countries citing papers authored by M. K. Leijsma

Since Specialization
Citations

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

Fields of papers citing papers by M. K. Leijsma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. K. Leijsma

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

All Works

18 of 18 papers shown
1.
Arends, Suzanne, Anneke Spoorenberg, M. Efdé, et al.. (2014). Higher Bone Turnover Is Related to Spinal Radiographic Damage and Low Bone Mineral Density in Ankylosing Spondylitis Patients with Active Disease: A Cross-Sectional Analysis. PLoS ONE. 9(6). e99685–e99685. 22 indexed citations
2.
Knevel, Rachel, Tore Saxne, Elisabet Lindqvist, et al.. (2014). A genetic variant in osteoprotegerin is associated with progression of joint destruction in rheumatoid arthritis. Arthritis Research & Therapy. 16(3). R108–R108. 21 indexed citations
3.
Maas, F., Anneke Spoorenberg, E. van der Veer, et al.. (2014). THU0077 Prevalence of Obesity and the Relation to Disease Activity, Physical Function, and Quality of Life in Patients with Axial Spondyloarthritis. Annals of the Rheumatic Diseases. 73. 203–203.
4.
Arends, Suzanne, E. van der Veer, M. Efdé, et al.. (2013). FRI0422 Successful dose reduction of tnf-alpha blocking agents in ankylosing spondylitis patients with stable low disease activity. Annals of the Rheumatic Diseases. 72. A517–A517. 1 indexed citations
5.
6.
Rooy, D. P. C. de, Nataliya Yeremenko, Anthony G. Wilson, et al.. (2012). Genetic studies on components of the Wnt signalling pathway and the severity of joint destruction in rheumatoid arthritis. Annals of the Rheumatic Diseases. 72(5). 769–775. 70 indexed citations
7.
Slater, James J.R. Huddleston, et al.. (2012). Does hypoxia-reperfusion injury occur in osteoarthritis of the temporomandibular joint?. PubMed. 26(3). 233–9. 7 indexed citations
8.
Knevel, Rachel, A. Krabben, Anthony G. Wilson, et al.. (2012). A genetic variant in granzyme B is associated with progression of joint destruction in rheumatoid arthritis. Arthritis & Rheumatism. 65(3). 582–589. 20 indexed citations
9.
Arends, Suzanne, Y.P.T. Kamsma, E. van der Veer, et al.. (2012). VALIDITY AND RELIABILITY OF THE IPAQ AND SQUASH TO ASSESS DAILY PHYSICAL ACTIVITY IN PATIENTS WITH ANKYLOSING SPONDYLITIS. Data Archiving and Networked Services (DANS). 30(4). 623–623. 1 indexed citations
10.
Arends, Suzanne, Y.P.T. Kamsma, E. van der Veer, et al.. (2012). AB0910 Validity and reliability of the IPAQ and squash to assess daily physical activity in patients with ankylosing spondylitis. Annals of the Rheumatic Diseases. 71. 690–690. 3 indexed citations
11.
12.
Arends, Suzanne, Y.P.T. Kamsma, E. van der Veer, et al.. (2011). The Relation Between Daily Physical Activity Measured with the Accelerometer and Clinical Assessments in Patients with Ankylosing Spondylitis. Data Archiving and Networked Services (DANS). 2 indexed citations
13.
Arends, Suzanne, E. van der Veer, Henk Groen, et al.. (2011). Serum MMP-3 Level as a Biomarker for Monitoring and Predicting Response to Etanercept Treatment in Ankylosing Spondylitis. The Journal of Rheumatology. 38(8). 1644–1650. 38 indexed citations
14.
Arends, Suzanne, Elisabeth Brouwer, E. van der Veer, et al.. (2011). Baseline predictors of response and discontinuation of tumor necrosis factor-alpha blocking therapy in ankylosing spondylitis: a prospective longitudinal observational cohort study. Arthritis Research & Therapy. 13(3). R94–R94. 173 indexed citations
15.
Koppelman, Gerard H., et al.. (2011). Pulmonary medium vessel vasculitis in an 11 year old boy: Hughes Stovin syndrome as a variant of polyarteritis nodosa?. Pediatric Rheumatology. 9(1). 19–19. 8 indexed citations
16.
Arends, Suzanne, Anneke Spoorenberg, P. M. Houtman, et al.. (2010). The relation between bone mineral density, bone turnover markers, and vitamin D status in ankylosing spondylitis patients with active disease: a cross-sectional analysis. Osteoporosis International. 22(5). 1431–1439. 83 indexed citations
17.
Dikkers, Frederik G., Philip N. Hawkins, Johan Bijzet, et al.. (2009). Laryngeal presentation of systemic apolipoprotein A‐I–derived amyloidosis. The Laryngoscope. 119(3). 608–615. 19 indexed citations
18.
Meijer, Jiska, Stefan Schönland, Giovanni Palladini, et al.. (2008). Sjögren's syndrome and localized nodular cutaneous amyloidosis: Coincidence or a distinct clinical entity?. Arthritis & Rheumatism. 58(7). 1992–1999. 44 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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