E. Houtman

468 total citations
16 papers, 293 citations indexed

About

E. Houtman is a scholar working on Rheumatology, Cancer Research and Molecular Biology. According to data from OpenAlex, E. Houtman has authored 16 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Rheumatology, 7 papers in Cancer Research and 6 papers in Molecular Biology. Recurrent topics in E. Houtman's work include Osteoarthritis Treatment and Mechanisms (15 papers), Cancer-related molecular mechanisms research (7 papers) and Inflammatory mediators and NSAID effects (5 papers). E. Houtman is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (15 papers), Cancer-related molecular mechanisms research (7 papers) and Inflammatory mediators and NSAID effects (5 papers). E. Houtman collaborates with scholars based in Netherlands, United States and United Kingdom. E. Houtman's co-authors include H. Eka D. Suchiman, Rob G. H. H. Nelissen, Ingrid Meulenbelt, Y.F. Ramos, Rodrigo Coutinho de Almeida, Nico Lakenberg, Hailiang Mei, Marcella van Hoolwerff, Wouter den Hollander and P. Eline Slagboom and has published in prestigious journals such as Annals of the Rheumatic Diseases, Journal of Orthopaedic Research® and Osteoarthritis and Cartilage.

In The Last Decade

E. Houtman

15 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Houtman Netherlands 8 212 124 120 49 43 16 293
Xiaoyu Nie United States 8 182 0.9× 148 1.2× 99 0.8× 48 1.0× 55 1.3× 19 320
F.M. Cornelis Belgium 12 214 1.0× 210 1.7× 78 0.7× 42 0.9× 53 1.2× 23 380
Kendal McCulloch United Kingdom 4 186 0.9× 131 1.1× 82 0.7× 37 0.8× 47 1.1× 8 305
Margo Tuerlings Netherlands 10 167 0.8× 117 0.9× 90 0.8× 52 1.1× 26 0.6× 22 273
Qichan Hu United States 4 194 0.9× 132 1.1× 67 0.6× 25 0.5× 56 1.3× 7 306
Michael D. Rushton United Kingdom 10 200 0.9× 238 1.9× 159 1.3× 63 1.3× 53 1.2× 14 391
Zihao Yao China 8 158 0.7× 194 1.6× 143 1.2× 36 0.7× 31 0.7× 15 395
S. Chubinskaya United States 6 273 1.3× 122 1.0× 157 1.3× 69 1.4× 85 2.0× 14 399
C.M.G. Thomas United Kingdom 5 157 0.7× 104 0.8× 64 0.5× 41 0.8× 48 1.1× 8 316
M.E. Vázquez-Mosquera Spain 9 203 1.0× 176 1.4× 103 0.9× 24 0.5× 48 1.1× 18 319

Countries citing papers authored by E. Houtman

Since Specialization
Citations

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

Fields of papers citing papers by E. Houtman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Houtman. 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 E. Houtman. The network helps show where E. Houtman may publish in the future.

Co-authorship network of co-authors of E. Houtman

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

All Works

16 of 16 papers shown
1.
2.
Korthagen, N.M., E. Houtman, Rodrigo Coutinho de Almeida, et al.. (2024). Thyroid hormone induces ossification and terminal maturation in a preserved OA cartilage biomimetic model. Arthritis Research & Therapy. 26(1). 91–91. 2 indexed citations
3.
Tuerlings, Margo, George M. C. Janssen, Marcella van Hoolwerff, et al.. (2022). WWP2 confers risk to osteoarthritis by affecting cartilage matrix deposition via hypoxia associated genes. Osteoarthritis and Cartilage. 31(1). 39–48. 7 indexed citations
4.
Houtman, E., Margo Tuerlings, H. Eka D. Suchiman, et al.. (2022). Inhibiting thyroid activation in aged human explants prevents mechanical induced detrimental signalling by mitigating metabolic processes. Lara D. Veeken. 62(1). 457–466. 4 indexed citations
5.
Tuerlings, Margo, Marcella van Hoolwerff, E. Houtman, et al.. (2022). FUNCTIONAL GENOMICS HIGHLIGHTS ROLE FOR OSTEOARTHRITIS SUSCEPTIBILITY GENE WWP2 IN CARTILAGE MATRIX DEPOSITION. Osteoarthritis and Cartilage. 30. S180–S180. 1 indexed citations
6.
Houtman, E., Marcella van Hoolwerff, Nico Lakenberg, et al.. (2021). Human Osteochondral Explants: Reliable Biomimetic Models to Investigate Disease Mechanisms and Develop Personalized Treatments for Osteoarthritis. Rheumatology and Therapy. 8(1). 499–515. 14 indexed citations
7.
Houtman, E., Rodrigo Coutinho de Almeida, Margo Tuerlings, et al.. (2021). Characterization of dynamic changes in Matrix Gla Protein (MGP) gene expression as function of genetic risk alleles, osteoarthritis relevant stimuli, and the vitamin K inhibitor warfarin. Osteoarthritis and Cartilage. 29(8). 1193–1202. 13 indexed citations
8.
Houtman, E., Margo Tuerlings, H. Eka D. Suchiman, et al.. (2021). Elucidating mechano-pathology of osteoarthritis: transcriptome-wide differences in mechanically stressed aged human cartilage explants. Arthritis Research & Therapy. 23(1). 215–215. 22 indexed citations
9.
Korthagen, N.M., E. Houtman, Rodrigo Coutinho de Almeida, et al.. (2021). Targeted exploration of an RNA sequencing dataset of preserved and lesioned oa cartilage-establishing a human oa disease model of chondrocyte hypertrophy. Osteoarthritis and Cartilage. 29. S128–S129.
10.
Almeida, Rodrigo Coutinho de, Ahmed Mahfouz, Hailiang Mei, et al.. (2020). Identification and characterization of two consistent osteoarthritis subtypes by transcriptome and clinical data integration. Lara D. Veeken. 60(3). 1166–1175. 24 indexed citations
11.
Tuerlings, Margo, Marcella van Hoolwerff, E. Houtman, et al.. (2020). RNA Sequencing Reveals Interacting Key Determinants of Osteoarthritis Acting in Subchondral Bone and Articular Cartilage: Identification of IL11 and CHADL as Attractive Treatment Targets. Arthritis & Rheumatology. 73(5). 789–799. 45 indexed citations
12.
Houtman, E., Marcella van Hoolwerff, Nico Lakenberg, et al.. (2019). Setting up a pre-clinical human model for mechanical induced osteoarthritis to investigate potential pharmocological agents. Osteoarthritis and Cartilage. 27. S80–S81. 1 indexed citations
13.
Ramos, Y.F., Rodrigo Coutinho de Almeida, Ahmed Mahfouz, et al.. (2019). Circulating micro RNAs reflecting ongoing osteoarthritis pathophysiology in cartilage as applicable biomarkers. Osteoarthritis and Cartilage. 27. S69–S69. 1 indexed citations
14.
Almeida, Rodrigo Coutinho de, Y.F. Ramos, Ahmed Mahfouz, et al.. (2019). RNA sequencing data integration reveals an miRNA interactome of osteoarthritis cartilage. Annals of the Rheumatic Diseases. 78(2). 270–277. 132 indexed citations
15.
Houtman, E., Marcella van Hoolwerff, Nico Lakenberg, et al.. (2018). Addition of excess thyroid hormone induces detrimental changes in human ex vivo full thickness osteochondral explants. Osteoarthritis and Cartilage. 26. S400–S400. 1 indexed citations
16.
Bömer, Nils, Wouter den Hollander, H. Eka D. Suchiman, et al.. (2016). Neo-cartilage engineered from primary chondrocytes is epigenetically similar to autologous cartilage, in contrast to using mesenchymal stem cells. Osteoarthritis and Cartilage. 24(8). 1423–1430. 23 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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