Damian C. Genetos

3.9k total citations
60 papers, 3.1k citations indexed

About

Damian C. Genetos is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Damian C. Genetos has authored 60 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 17 papers in Cancer Research and 11 papers in Genetics. Recurrent topics in Damian C. Genetos's work include Cancer, Hypoxia, and Metabolism (12 papers), Bone Metabolism and Diseases (11 papers) and Fibroblast Growth Factor Research (10 papers). Damian C. Genetos is often cited by papers focused on Cancer, Hypoxia, and Metabolism (12 papers), Bone Metabolism and Diseases (11 papers) and Fibroblast Growth Factor Research (10 papers). Damian C. Genetos collaborates with scholars based in United States, Italy and Switzerland. Damian C. Genetos's co-authors include Clare E. Yellowley, Henry J. Donahue, Gabriela G. Loots, Alice Wong, J. Kent Leach, Randall L. Duncan, Dawei Liu, Yue Zhang, Bernd Christiansen and Nicole M. Collette and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Biomaterials.

In The Last Decade

Damian C. Genetos

59 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Damian C. Genetos United States 33 1.4k 771 620 486 442 60 3.1k
Dafna Benayahu Israel 31 1.6k 1.2× 843 1.1× 788 1.3× 588 1.2× 552 1.2× 118 4.0k
Saravana K. Ramasamy United Kingdom 18 1.9k 1.4× 919 1.2× 607 1.0× 544 1.1× 792 1.8× 22 4.3k
Clare E. Yellowley United States 35 1.9k 1.4× 816 1.1× 649 1.0× 533 1.1× 461 1.0× 63 3.9k
Xiao‐Dong Chen United States 31 1.4k 1.0× 622 0.8× 1.0k 1.7× 1.1k 2.2× 571 1.3× 66 3.9k
Anjali P. Kusumbe United Kingdom 25 2.2k 1.6× 1.0k 1.3× 660 1.1× 584 1.2× 1.0k 2.3× 34 4.9k
Liza J. Raggatt Australia 20 1.7k 1.3× 488 0.6× 505 0.8× 381 0.8× 879 2.0× 34 3.7k
Nicholas Ditzel Denmark 27 1.5k 1.1× 412 0.5× 920 1.5× 491 1.0× 404 0.9× 51 3.0k
Toshihide Mizoguchi Japan 29 2.1k 1.5× 327 0.4× 914 1.5× 299 0.6× 1.0k 2.4× 81 4.5k
Rolf E. Brenner Germany 30 1.1k 0.9× 680 0.9× 980 1.6× 820 1.7× 432 1.0× 102 3.7k
Paul C. Schiller United States 32 2.1k 1.6× 627 0.8× 1.4k 2.3× 824 1.7× 384 0.9× 60 4.0k

Countries citing papers authored by Damian C. Genetos

Since Specialization
Citations

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

Fields of papers citing papers by Damian C. Genetos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Damian C. Genetos. 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 Damian C. Genetos. The network helps show where Damian C. Genetos may publish in the future.

Co-authorship network of co-authors of Damian C. Genetos

This figure shows the co-authorship network connecting the top 25 collaborators of Damian C. Genetos. A scholar is included among the top collaborators of Damian C. Genetos 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 Damian C. Genetos. Damian C. Genetos 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.
Seneshaw, Mulugeta, Faridoddin Mirshahi, Evan G. Buettmann, et al.. (2025). Sexual dimorphism of MASLD-driven bone loss. Scientific Reports. 15(1). 23090–23090.
2.
Wells, Kristina V, Deepa K. Murugesh, Nicholas R. Hum, et al.. (2024). Osteocytic oxygen sensing: Distinct impacts of VHL and HIF-2alpha on bone integrity. Bone. 192. 117339–117339. 2 indexed citations
3.
Wells, Kristina V, et al.. (2023). Prostate cancer and bone: clinical presentation and molecular mechanisms. Endocrine Related Cancer. 30(9). 5 indexed citations
4.
Genetos, Damian C., et al.. (2023). Hypoxia‐Inducible Factor‐2α Signaling in the Skeletal System. JBMR Plus. 7(4). e10733–e10733. 9 indexed citations
5.
Murugesh, Deepa K., et al.. (2023). Degradation‐Resistant Hypoxia Inducible Factor‐2α in Murine Osteocytes Promotes a High Bone Mass Phenotype. JBMR Plus. 7(4). e10724–e10724. 4 indexed citations
6.
Tomlinson, Ryan E., et al.. (2020). The Role of Nerves in Skeletal Development, Adaptation, and Aging. Frontiers in Endocrinology. 11. 646–646. 64 indexed citations
7.
Genetos, Damian C., et al.. (2017). Bone adaptation to mechanical loading in a mouse model of reduced peripheral sensory nerve function. PLoS ONE. 12(10). e0187354–e0187354. 28 indexed citations
8.
Binder, Bernard Y.K., et al.. (2013). Lysophosphatidic Acid Protects Human Mesenchymal Stromal Cells from Differentiation-Dependent Vulnerability to Apoptosis. Tissue Engineering Part A. 20(7-8). 1156–1164. 35 indexed citations
9.
Collette, Nicole M., Damian C. Genetos, Aris N. Economides, et al.. (2012). Targeted deletion of Sost distal enhancer increases bone formation and bone mass. Proceedings of the National Academy of Sciences. 109(35). 14092–14097. 109 indexed citations
10.
Loots, Gabriela G., H. J. Keller, Olivier Leupin, et al.. (2011). TGF-β regulates sclerostin expression via the ECR5 enhancer. Bone. 50(3). 663–669. 51 indexed citations
11.
Genetos, Damian C., Clare E. Yellowley, & Gabriela G. Loots. (2011). Prostaglandin E2 Signals Through PTGER2 to Regulate Sclerostin Expression. PLoS ONE. 6(3). e17772–e17772. 54 indexed citations
12.
Genetos, Damian C., et al.. (2010). Hypoxia increases Annexin A2 expression in osteoblastic cells via VEGF and ERK. Bone. 47(6). 1013–1019. 42 indexed citations
13.
Genetos, Damian C., Rameshwar R. Rao, & Martin A. Vidal. (2010). Betacellulin inhibits osteogenic differentiation and stimulates proliferation through HIF-1α. Cell and Tissue Research. 340(1). 81–89. 19 indexed citations
14.
He, Jiawei, Damian C. Genetos, & J. Kent Leach. (2009). Osteogenesis and Trophic Factor Secretion are Influenced by the Composition of Hydroxyapatite/Poly(Lactide-Co-Glycolide) Composite Scaffolds. Tissue Engineering Part A. 16(1). 127–137. 73 indexed citations
15.
Genetos, Damian C., et al.. (2009). Prostaglandin expression profile in hypoxic osteoblastic cells. Journal of Bone and Mineral Metabolism. 28(1). 8–16. 15 indexed citations
16.
Waters, Katrina M., Ruimin Tan, Damian C. Genetos, et al.. (2007). DNA microarray analysis reveals a role for lysophosphatidic acid in the regulation of anti-inflammatory genes in MC3T3-E1 cells. Bone. 41(5). 833–841. 13 indexed citations
17.
Liu, Dawei, Damian C. Genetos, Ying Shao, et al.. (2007). Activation of extracellular-signal regulated kinase (ERK1/2) by fluid shear is Ca2+- and ATP-dependent in MC3T3-E1 osteoblasts. Bone. 42(4). 644–652. 146 indexed citations
18.
Genetos, Damian C., et al.. (2007). Oscillating fluid flow activation of gap junction hemichannels induces atp release from MLO‐Y4 osteocytes. Journal of Cellular Physiology. 212(1). 207–214. 247 indexed citations
19.
Donahue, Tammy L. Haut, et al.. (2004). Annexin V disruption impairs mechanically induced calcium signaling in osteoblastic cells. Bone. 35(3). 656–663. 34 indexed citations
20.
Chen, Neal X., et al.. (2003). Fluid shear-induced NFκB translocation in osteoblasts is mediated by intracellular calcium release. Bone. 33(3). 399–410. 69 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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