M. van de Laar

48 total papers · 993 total citations
16 papers, 515 citations indexed

About

M. van de Laar is a scholar working on Rheumatology, Genetics and Hematology. According to data from OpenAlex, M. van de Laar has authored 16 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Rheumatology, 4 papers in Genetics and 3 papers in Hematology. Recurrent topics in M. van de Laar's work include Rheumatoid Arthritis Research and Therapies (10 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Autoimmune and Inflammatory Disorders Research (3 papers). M. van de Laar is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (10 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Autoimmune and Inflammatory Disorders Research (3 papers). M. van de Laar collaborates with scholars based in Netherlands, France and United States. M. van de Laar's co-authors include D. van der Heijde, I. Logeart, Maxime Dougados, E. Martín‐Mola, M. Hochberg, Nicholas Bellamy, H Awada, Claire Bombardier, N. Hajjaj‐Hassouni and Marco Matucci‐Cerinic and has published in prestigious journals such as Annals of the Rheumatic Diseases, International Journal of Epidemiology and Osteoarthritis and Cartilage.

In The Last Decade

M. van de Laar

16 papers receiving 500 citations

Hit Papers

Minimum clinically import... 2012 2026 2016 2021 2012 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M. van de Laar 281 138 109 71 70 16 515
P N Malleson 218 0.8× 101 0.7× 58 0.5× 274 3.9× 71 1.0× 21 581
A M Leak 91 0.3× 89 0.6× 217 2.0× 109 1.5× 67 1.0× 16 520
Sharon Bout‐Tabaku 47 0.2× 159 1.2× 26 0.2× 31 0.4× 50 0.7× 26 451
Phillip Vecchio 86 0.3× 342 2.5× 101 0.9× 10 0.1× 173 2.5× 16 556
Suliman R. Al-Balla 284 1.0× 38 0.3× 51 0.5× 18 0.3× 28 0.4× 26 510
H Fahrer 161 0.6× 209 1.5× 38 0.3× 8 0.1× 47 0.7× 19 564
Rafael Poveda Roda 86 0.3× 46 0.3× 32 0.3× 18 0.3× 53 0.8× 16 567
Andrew J. Gross 77 0.3× 121 0.9× 127 1.2× 17 0.2× 19 0.3× 26 603
Kelly Fleetwood 80 0.3× 122 0.9× 16 0.1× 13 0.2× 157 2.2× 37 592
Tor Mattsson 54 0.2× 177 1.3× 98 0.9× 18 0.3× 69 1.0× 21 534

Countries citing papers authored by M. van de Laar

Since Specialization
Citations

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

Fields of papers citing papers by M. van de Laar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. van de Laar. 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. van de Laar. The network helps show where M. van de Laar may publish in the future.

Co-authorship network of co-authors of M. van de Laar

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

All Works

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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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