David A. Hoey

3.0k total citations
79 papers, 2.2k citations indexed

About

David A. Hoey is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, David A. Hoey has authored 79 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, 27 papers in Biomedical Engineering and 19 papers in Genetics. Recurrent topics in David A. Hoey's work include Bone Tissue Engineering Materials (22 papers), Genetic and Kidney Cyst Diseases (16 papers) and 3D Printing in Biomedical Research (10 papers). David A. Hoey is often cited by papers focused on Bone Tissue Engineering Materials (22 papers), Genetic and Kidney Cyst Diseases (16 papers) and 3D Printing in Biomedical Research (10 papers). David A. Hoey collaborates with scholars based in Ireland, United States and United Kingdom. David A. Hoey's co-authors include Christopher R. Jacobs, Kian F. Eichholz, Daniel J. Kelly, Marie-Noëlle Labour, Mathieu Riffault, David Taylor, Gillian P. Johnson, Fergal J. O’Brien, Laoise M. McNamara and Sophie C. Cox and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and Advanced Functional Materials.

In The Last Decade

David A. Hoey

78 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Hoey Ireland 28 918 743 452 390 363 79 2.2k
Anna Urciuolo Italy 16 1.4k 1.5× 797 1.1× 529 1.2× 177 0.5× 729 2.0× 35 2.8k
Joel D. Boerckel United States 26 693 0.8× 1.3k 1.8× 481 1.1× 144 0.4× 726 2.0× 53 2.7k
Soon Jung Hwang South Korea 26 476 0.5× 974 1.3× 197 0.4× 246 0.6× 500 1.4× 108 2.4k
Douglas W. Hamilton Canada 31 613 0.7× 973 1.3× 414 0.9× 104 0.3× 531 1.5× 78 2.7k
Brian Johnstone United States 31 577 0.6× 673 0.9× 420 0.9× 168 0.4× 987 2.7× 77 3.1k
Jeroen Eyckmans United States 26 889 1.0× 1.5k 2.0× 820 1.8× 124 0.3× 697 1.9× 52 3.0k
Susan H. Bernacki United States 21 501 0.5× 615 0.8× 310 0.7× 136 0.3× 479 1.3× 37 1.8k
José Rivera‐Feliciano United States 10 1.6k 1.7× 933 1.3× 686 1.5× 178 0.5× 784 2.2× 10 2.9k
Ryan R. Driskell United States 27 1.6k 1.7× 271 0.4× 979 2.2× 225 0.6× 453 1.2× 38 4.3k
Atsushi Shimazu Japan 20 587 0.6× 362 0.5× 265 0.6× 205 0.5× 344 0.9× 32 1.7k

Countries citing papers authored by David A. Hoey

Since Specialization
Citations

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

Fields of papers citing papers by David A. Hoey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Hoey. 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 David A. Hoey. The network helps show where David A. Hoey may publish in the future.

Co-authorship network of co-authors of David A. Hoey

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Hoey. A scholar is included among the top collaborators of David A. Hoey 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 David A. Hoey. David A. Hoey 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.
Hughes, Celia, Sinead A O’Rourke, Caitríona Lally, et al.. (2025). Mechano-immunomodulation of macrophages influences the regenerative environment of fracture healing through the regulation of angiogenesis and osteogenesis. Acta Biomaterialia. 200. 187–201. 1 indexed citations
2.
O’Rourke, Sinead A, et al.. (2024). Human macrophage polarisation and regulation of angiogenesis and osteogenesis is dependent on culture extracellular matrix and dimensionality. Biochemical and Biophysical Research Communications. 735. 150835–150835. 2 indexed citations
3.
Hoey, David A., et al.. (2024). Sol–gel‑templated bioactive glass scaffold: a review. Research on Biomedical Engineering. 40(1). 281–296. 11 indexed citations
4.
Garcia, Orquidea, et al.. (2024). Muticomponent Melt‐Electrowritten Vascular Graft to Mimic and Guide Regeneration of Small Diameter Blood Vessels. Advanced Functional Materials. 34(51). 7 indexed citations
5.
Biak, Dayang Radiah Awang, et al.. (2024). Effect of Starch Binders on the Properties of Bioglass Tablets for Bone Tissue Engineering Applications. Starch - Stärke. 76(9-10). 2 indexed citations
6.
7.
Hoey, David A., et al.. (2023). Mechanoregulatory role of TRPV4 in prenatal skeletal development. Science Advances. 9(4). eade2155–eade2155. 18 indexed citations
8.
Biak, Dayang Radiah Awang, et al.. (2023). Evaluation of bioactivity and antibacterial properties of bioglass fabricated using a cellulose nano fibre template. Materials Chemistry and Physics. 304. 127863–127863. 5 indexed citations
9.
Lally, Caitríona, et al.. (2023). Melt electrowritten scaffold architectures to mimic tissue mechanics and guide neo-tissue orientation. Journal of the mechanical behavior of biomedical materials. 150. 106292–106292. 26 indexed citations
10.
Man, Kenny, Neil Eisenstein, David A. Hoey, & Sophie C. Cox. (2023). Bioengineering extracellular vesicles: smart nanomaterials for bone regeneration. Journal of Nanobiotechnology. 21(1). 137–137. 20 indexed citations
11.
Whelan, I., Ross Burdis, Somayeh Shahreza, et al.. (2023). A microphysiological model of bone development and regeneration. Biofabrication. 15(3). 34103–34103. 19 indexed citations
12.
Morris, Michael A., et al.. (2023). Nano sized gallium oxide surface features for enhanced antimicrobial and osteo-integrative responses. Colloids and Surfaces B Biointerfaces. 227. 113378–113378. 3 indexed citations
13.
Carter, Luke N., Paula E. Colavita, David A. Hoey, et al.. (2022). Surface Free Energy Dominates the Biological Interactions of Postprocessed Additively Manufactured Ti-6Al-4V. ACS Biomaterials Science & Engineering. 8(10). 4311–4326. 21 indexed citations
14.
Man, Kenny, et al.. (2022). An ECM-Mimetic Hydrogel to Promote the Therapeutic Efficacy of Osteoblast-Derived Extracellular Vesicles for Bone Regeneration. Frontiers in Bioengineering and Biotechnology. 10. 829969–829969. 35 indexed citations
15.
Luo, Lu, Kenny Man, Mathieu Brunet, et al.. (2021). Hydrostatic pressure promotes chondrogenic differentiation and microvesicle release from human embryonic and bone marrow stem cells. Biotechnology Journal. 17(4). e2100401–e2100401. 18 indexed citations
16.
Ahern, Daniel P., Jake McDonnell, Mathieu Riffault, et al.. (2021). A meta-analysis of the diagnostic accuracy of Hounsfield units on computed topography relative to dual-energy X-ray absorptiometry for the diagnosis of osteoporosis in the spine surgery population. The Spine Journal. 21(10). 1738–1749. 56 indexed citations
17.
18.
Davis, Niall F., et al.. (2016). On the Automatic Decellularisation of Porcine Aortae: A Repeatability Study Using a Non-Enzymatic Approach. Cells Tissues Organs. 201(4). 299–318. 4 indexed citations
19.
Hoey, David A., et al.. (2013). Adenylyl cyclase 6 mediates loading‐induced bone adaptation in vivo. The FASEB Journal. 28(3). 1157–1165. 28 indexed citations
20.
Hoey, David A., Daniel J. Kelly, & Christopher R. Jacobs. (2011). A role for the primary cilium in paracrine signaling between mechanically stimulated osteocytes and mesenchymal stem cells. Biochemical and Biophysical Research Communications. 412(1). 182–187. 97 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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