Marina van Doeselaar

1.1k total citations
23 papers, 678 citations indexed

About

Marina van Doeselaar is a scholar working on Surgery, Pathology and Forensic Medicine and Pharmacology. According to data from OpenAlex, Marina van Doeselaar has authored 23 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 11 papers in Pathology and Forensic Medicine and 6 papers in Pharmacology. Recurrent topics in Marina van Doeselaar's work include Spine and Intervertebral Disc Pathology (11 papers), Musculoskeletal pain and rehabilitation (5 papers) and Knee injuries and reconstruction techniques (4 papers). Marina van Doeselaar is often cited by papers focused on Spine and Intervertebral Disc Pathology (11 papers), Musculoskeletal pain and rehabilitation (5 papers) and Knee injuries and reconstruction techniques (4 papers). Marina van Doeselaar collaborates with scholars based in Netherlands, Italy and Taiwan. Marina van Doeselaar's co-authors include Keita Ito, Vincenzo Bonifati, Ben A. Oostra, Marianna A. Tryfonidou, Alessio Di Fonzo, Björn P. Meij, Rou-Shayn Chen, Chin-Song Lu, Guido J. Breedveld and Hsiu‐Chen Chang and has published in prestigious journals such as Scientific Reports, International Journal of Cancer and Bone.

In The Last Decade

Marina van Doeselaar

22 papers receiving 668 citations

Peers

Marina van Doeselaar
Marek Molčányi Germany
Kiyokazu Kawabe Japan
Xueping Li China
Zengming Zheng China
Jason R. Thonhoff United States
Shahram Darabi Iran
Jinghui Xu China
Jae Won Kyung South Korea
Miwako Katagi Japan
Wiesław Marcol Poland
Marek Molčányi Germany
Marina van Doeselaar
Citations per year, relative to Marina van Doeselaar Marina van Doeselaar (= 1×) peers Marek Molčányi

Countries citing papers authored by Marina van Doeselaar

Since Specialization
Citations

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

Fields of papers citing papers by Marina van Doeselaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marina van Doeselaar. 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 Marina van Doeselaar. The network helps show where Marina van Doeselaar may publish in the future.

Co-authorship network of co-authors of Marina van Doeselaar

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

All Works

20 of 20 papers shown
1.
Doeselaar, Marina van, et al.. (2025). Inflammatory factors released by ACL reconstruction tendon grafts and their potential for macrophage polarization. Scientific Reports. 15(1). 19091–19091. 1 indexed citations
2.
Doeselaar, Marina van, et al.. (2024). The role of loading-induced convection versus diffusion on the transport of small molecules into the intervertebral disc. European Spine Journal. 34(1). 326–337.
3.
Genabeek, Bas van, Maarten J. Pouderoijen, Henk M. Janssen, et al.. (2023). Semi‐synthetic degradable notochordal cell‐derived matrix hydrogel for use in degenerated intervertebral discs: Initial in vitro characterization. Journal of Biomedical Materials Research Part A. 111(12). 1903–1915. 6 indexed citations
4.
Crispim, João F., et al.. (2023). Neo‐cartilage formation using human nondegenerate versus osteoarthritic chondrocyte‐derived cartilage organoids in a viscoelastic hydrogel. Journal of Orthopaedic Research®. 41(9). 1902–1915. 14 indexed citations
5.
Vis, Michelle A. M., Fengdong Zhao, Marina van Doeselaar, et al.. (2023). Osteogenesis and osteoclastogenesis on a chip: Engineering a self-assembling 3D coculture. Bone. 173. 116812–116812. 19 indexed citations
6.
Janssen, Rob P.A., M. C. van der Steen, Marina van Doeselaar, et al.. (2021). Local variations in mechanical properties of human hamstring tendon autografts for anterior cruciate ligament reconstruction do not translate to a mechanically inferior strand. Journal of the mechanical behavior of biomedical materials. 126. 105010–105010. 5 indexed citations
7.
Steen, M. C. van der, et al.. (2020). Identifying potential patient‐specific predictors for anterior cruciate ligament reconstruction outcome – a diagnostic in vitro tissue remodeling platform. Journal of Experimental Orthopaedics. 7(1). 37–43. 2 indexed citations
8.
Wissing, Tamar B., Valentina Bonito, Eline E. van Haaften, et al.. (2019). Macrophage-Driven Biomaterial Degradation Depends on Scaffold Microarchitecture. Frontiers in Bioengineering and Biotechnology. 7. 87–87. 87 indexed citations
9.
Doeselaar, Marina van, et al.. (2018). Notochordal Cell Matrix As a Therapeutic Agent for Intervertebral Disc Regeneration. Tissue Engineering Part A. 25(11-12). 830–841. 30 indexed citations
10.
Doeselaar, Marina van, et al.. (2018). Notochordal cell matrix as a bioactive lubricant for the osteoarthritic joint. Scientific Reports. 8(1). 8875–8875. 10 indexed citations
11.
Doeselaar, Marina van, et al.. (2018). Notochordal cell matrix: An inhibitor of neurite and blood vessel growth?. Journal of Orthopaedic Research®. 36(12). 3188–3195. 10 indexed citations
12.
Riemers, Frank M., Janneke Boere, Marina van Doeselaar, et al.. (2016). Soluble and pelletable factors in porcine, canine and human notochordal cell-conditioned medium: implications for IVD regeneration. European Cells and Materials. 32. 163–180. 32 indexed citations
13.
Doeselaar, Marina van, et al.. (2015). The Stimulatory Effect of Notochordal Cell-Conditioned Medium in a Nucleus Pulposus Explant Culture. Tissue Engineering Part A. 22(1-2). 103–110. 25 indexed citations
14.
Doeselaar, Marina van, et al.. (2015). Stimulatory Effect of Notochordal Cell-Conditioned Medium in a Nucleus Pulposus Explant Culture. Global Spine Journal. 5(1_suppl). s–35. 3 indexed citations
15.
16.
Potier, Esther, S. de Vries, Marina van Doeselaar, & Keita Ito. (2014). Potential application of notochordal cells for intervertebral disc regeneration: an in vitro assessment. European Cells and Materials. 28. 68–81. 26 indexed citations
17.
Lu, Chin-Song, Yah‐Huei Wu‐Chou, Marina van Doeselaar, et al.. (2008). The LRRK2 Arg1628Pro variant is a risk factor for Parkinson’s disease in the Chinese population. Neurogenetics. 9(4). 271–276. 50 indexed citations
18.
Ferreira, Joaquim J., Leonor Correia Guedes, Mário Miguel Rosa, et al.. (2007). High prevalence of LRRK2 mutations in familial and sporadic Parkinson's disease in Portugal. Movement Disorders. 22(8). 1194–1201. 60 indexed citations
19.
Fonzo, Alessio Di, Yah‐Huei Wu‐Chou, Chin-Song Lu, et al.. (2006). A common missense variant in the LRRK2 gene, Gly2385Arg, associated with Parkinson’s disease risk in Taiwan. Neurogenetics. 7(3). 133–138. 180 indexed citations
20.
Cossu, Giovanni, Marina van Doeselaar, Maurizio Melis, et al.. (2006). LRRK2 mutations and Parkinson's disease in Sardinia—A Mediterranean genetic isolate. Parkinsonism & Related Disorders. 13(1). 17–21. 16 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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