Matthew Prideaux

2.9k total citations · 1 hit paper
43 papers, 2.2k citations indexed

About

Matthew Prideaux is a scholar working on Molecular Biology, Oncology and Rheumatology. According to data from OpenAlex, Matthew Prideaux has authored 43 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 19 papers in Oncology and 8 papers in Rheumatology. Recurrent topics in Matthew Prideaux's work include Bone Metabolism and Diseases (24 papers), Bone health and treatments (18 papers) and Parathyroid Disorders and Treatments (7 papers). Matthew Prideaux is often cited by papers focused on Bone Metabolism and Diseases (24 papers), Bone health and treatments (18 papers) and Parathyroid Disorders and Treatments (7 papers). Matthew Prideaux collaborates with scholars based in United States, Australia and United Kingdom. Matthew Prideaux's co-authors include Lynda F. Bonewald, Sarah L. Dallas, Gerald J. Atkins, David M. Findlay, Asiri R. Wijenayaka, Masakazu Kogawa, Renee T. Ormsby, Andreas Evdokiou, Katharina Jähn and Mark Van Dyke and has published in prestigious journals such as Nature Communications, PLoS ONE and Endocrine Reviews.

In The Last Decade

Matthew Prideaux

41 papers receiving 2.2k citations

Hit Papers

The Osteocyte: An Endocrine Cell … and More 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Prideaux United States 22 1.2k 551 414 387 319 43 2.2k
Qisheng Tu United States 33 1.7k 1.4× 392 0.7× 217 0.5× 352 0.9× 370 1.2× 61 2.9k
Eric Hesse Germany 24 1.3k 1.1× 484 0.9× 372 0.9× 285 0.7× 179 0.6× 64 2.2k
Asiri R. Wijenayaka Australia 15 827 0.7× 464 0.8× 444 1.1× 154 0.4× 233 0.7× 20 1.6k
Liza J. Raggatt Australia 20 1.7k 1.5× 879 1.6× 581 1.4× 488 1.3× 352 1.1× 34 3.7k
Ton Schoenmaker Netherlands 28 1.1k 0.9× 560 1.0× 244 0.6× 283 0.7× 418 1.3× 73 2.0k
Teuvo A. Hentunen Finland 32 1.9k 1.6× 1.0k 1.8× 601 1.5× 507 1.3× 472 1.5× 51 3.2k
Mari T. Kaartinen Canada 31 657 0.6× 151 0.3× 310 0.7× 447 1.2× 657 2.1× 64 2.7k
Eric Haÿ France 32 1.7k 1.4× 578 1.0× 246 0.6× 411 1.1× 755 2.4× 66 3.0k
Daichi Chikazu Japan 22 794 0.7× 550 1.0× 196 0.5× 258 0.7× 310 1.0× 118 2.0k
Mengrui Wu China 18 1.4k 1.1× 411 0.7× 202 0.5× 321 0.8× 430 1.3× 32 2.3k

Countries citing papers authored by Matthew Prideaux

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Prideaux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Prideaux

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Prideaux. A scholar is included among the top collaborators of Matthew Prideaux 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 Matthew Prideaux. Matthew Prideaux 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
2.
Wright, Christian S., Karl J. Lewis, Xin Yi, et al.. (2024). Deletion of the auxiliary α2δ1 voltage sensitive calcium channel subunit in osteocytes and late-stage osteoblasts impairs femur strength and load-induced bone formation in male mice. Journal of Bone and Mineral Research. 39(3). 298–314. 1 indexed citations
3.
Pin, Fabrizio, Matthew Prideaux, Gang Peng, et al.. (2024). Deletion of FNDC5/irisin modifies murine osteocyte function in a sex-specific manner. eLife. 12. 7 indexed citations
4.
Prideaux, Matthew, et al.. (2023). L‐BAIBA Synergizes with Sub‐Optimal Mechanical Loading to Promote New Bone Formation. JBMR Plus. 7(6). e10746–e10746. 9 indexed citations
5.
Kittaka, Mizuho, Tetsuya Yoshimoto, Yixia Xie, et al.. (2023). Osteocyte RANKL Drives Bone Resorption in Mouse Ligature-Induced Periodontitis. Journal of Bone and Mineral Research. 38(10). 1521–1540. 17 indexed citations
6.
Kitase, Yukiko & Matthew Prideaux. (2023). Targeting osteocytes vs osteoblasts. Bone. 170. 116724–116724. 12 indexed citations
7.
Yoshimoto, Tetsuya, Mizuho Kittaka, Matthew Prideaux, et al.. (2022). Osteocytes directly regulate osteolysis via MYD88 signaling in bacterial bone infection. Nature Communications. 13(1). 6648–6648. 45 indexed citations
8.
Edwards, Donna M., Christopher J. Miller, Christian S. Wright, et al.. (2021). Differential Iron Requirements for Osteoblast and Adipocyte Differentiation. JBMR Plus. 5(9). e10529–e10529. 12 indexed citations
9.
Pin, Fabrizio, Matthew Prideaux, Joshua R. Huot, et al.. (2021). Non-bone metastatic cancers promote osteocyte-induced bone destruction. Cancer Letters. 520. 80–90. 21 indexed citations
10.
Tippen, Samantha, Megan L. Noonan, Pu Ni, et al.. (2021). Age and sex effects on FGF23-mediated response to mild phosphate challenge. Bone. 146. 115885–115885. 18 indexed citations
11.
Noonan, Megan L., Pu Ni, Rafiou Agoro, et al.. (2020). The HIF-PHI BAY 85-3934 (Molidustat) Improves Anemia and Is Associated With Reduced Levels of Circulating FGF23 in a CKD Mouse Model. Journal of Bone and Mineral Research. 36(6). 1117–1130. 18 indexed citations
12.
Sego, T. J., Matthew Prideaux, Brian P. McCarthy, et al.. (2019). Computational fluid dynamic analysis of bioprinted self‐supporting perfused tissue models. Biotechnology and Bioengineering. 117(3). 798–815. 16 indexed citations
13.
Prideaux, Matthew, David M. Findlay, & Gerald J. Atkins. (2016). Osteocytes: The master cells in bone remodelling. Current Opinion in Pharmacology. 28. 24–30. 155 indexed citations
14.
Staines, Katherine, Matthew Prideaux, Steve Allen, et al.. (2015). E11/Podoplanin Protein Stabilization Through Inhibition of the Proteasome Promotes Osteocyte Differentiation in Murine in Vitro Models. Journal of Cellular Physiology. 231(6). 1392–1404. 22 indexed citations
15.
Staines, Katherine, Matthew Prideaux, Peter Hohenstein, et al.. (2015). E11 protein stabilisation by proteasome inhibition promotes osteocyte differentiation and may protect against osteoarthritis bone pathology. Osteoarthritis and Cartilage. 23. A57–A57.
16.
Yamamoto, Hiroyuki, et al.. (2015). Posttranslational processing of FGF23 in osteocytes during the osteoblast to osteocyte transition. Bone. 84. 120–130. 45 indexed citations
17.
Prideaux, Matthew, Katherine Staines, Eleanor Jones, et al.. (2015). MMP and TIMP temporal gene expression during osteocytogenesis. Gene Expression Patterns. 18(1-2). 29–36. 21 indexed citations
18.
Prideaux, Matthew, Asiri R. Wijenayaka, Renee T. Ormsby, et al.. (2014). SaOS2 Osteosarcoma Cells as an In Vitro Model for Studying the Transition of Human Osteoblasts to Osteocytes. Calcified Tissue International. 95(2). 183–193. 96 indexed citations
20.
Dallas, Sarah L., Matthew Prideaux, & Lynda F. Bonewald. (2013). The Osteocyte: An Endocrine Cell … and More. Endocrine Reviews. 34(5). 658–690. 726 indexed citations breakdown →

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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