Rita Gerard-O’Riley

619 total citations
24 papers, 376 citations indexed

About

Rita Gerard-O’Riley is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Rita Gerard-O’Riley has authored 24 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Genetics. Recurrent topics in Rita Gerard-O’Riley's work include Bone Metabolism and Diseases (11 papers), Bone health and treatments (5 papers) and Connective tissue disorders research (4 papers). Rita Gerard-O’Riley is often cited by papers focused on Bone Metabolism and Diseases (11 papers), Bone health and treatments (5 papers) and Connective tissue disorders research (4 papers). Rita Gerard-O’Riley collaborates with scholars based in United States, Italy and France. Rita Gerard-O’Riley's co-authors include Fredrick M. Pavalko, Laura Mangiavini, Richa Khatri, Ernestina Schipani, Michael J. Econs, Suzanne R.L. Young, Johanna Myllyharju, Imranul Alam, Austin M. Reilly and Joseph P. Bidwell and has published in prestigious journals such as Journal of Biological Chemistry, The FASEB Journal and Endocrinology.

In The Last Decade

Rita Gerard-O’Riley

22 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rita Gerard-O’Riley United States 13 234 99 83 73 50 24 376
Vice Mandic Canada 6 271 1.2× 85 0.9× 115 1.4× 54 0.7× 44 0.9× 9 401
Semun Seong South Korea 14 351 1.5× 118 1.2× 123 1.5× 29 0.4× 48 1.0× 32 489
Siru Zhou China 9 294 1.3× 100 1.0× 130 1.6× 36 0.5× 52 1.0× 14 436
Wilson Cheuk Wing Chan Hong Kong 7 265 1.1× 71 0.7× 56 0.7× 80 1.1× 105 2.1× 8 473
Yuk Yu Chan United States 3 231 1.0× 50 0.5× 78 0.9× 67 0.9× 52 1.0× 4 349
Lomeli R. Carpio United States 12 493 2.1× 144 1.5× 119 1.4× 46 0.6× 116 2.3× 13 663
Anna Smerdel‐Ramoya United States 13 558 2.4× 60 0.6× 103 1.2× 89 1.2× 80 1.6× 16 654
Hiroko Meguro Japan 3 355 1.5× 53 0.5× 88 1.1× 63 0.9× 96 1.9× 4 525
Yayoi Izu Japan 13 362 1.5× 153 1.5× 107 1.3× 86 1.2× 39 0.8× 21 465
Kenneth D. Patrene United States 9 293 1.3× 80 0.8× 227 2.7× 31 0.4× 46 0.9× 16 536

Countries citing papers authored by Rita Gerard-O’Riley

Since Specialization
Citations

This map shows the geographic impact of Rita Gerard-O’Riley'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 Rita Gerard-O’Riley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Gerard-O’Riley more than expected).

Fields of papers citing papers by Rita Gerard-O’Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rita Gerard-O’Riley. 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 Rita Gerard-O’Riley. The network helps show where Rita Gerard-O’Riley may publish in the future.

Co-authorship network of co-authors of Rita Gerard-O’Riley

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Gerard-O’Riley. A scholar is included among the top collaborators of Rita Gerard-O’Riley 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 Rita Gerard-O’Riley. Rita Gerard-O’Riley 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.
Hong, Jung Min, et al.. (2024). The PDE4 Inhibitors Roflumilast and Rolipram Rescue ADO2 Osteoclast Resorption Dysfunction. Calcified Tissue International. 114(4). 430–443. 3 indexed citations
2.
Alam, Imranul, et al.. (2024). Effect of Roflumilast, a Selective PDE4 Inhibitor, on Bone Phenotypes in ADO2 Mice. Calcified Tissue International. 114(4). 419–429. 1 indexed citations
3.
Alam, Imranul, Ashkan Dehsorkhi, Paulina Rachwalska, et al.. (2024). Effect of Allele-Specific Clcn7G213R siRNA Delivered Via a Novel Nanocarrier on Bone Phenotypes in ADO2 Mice on 129S Background. Calcified Tissue International. 115(1). 85–96. 1 indexed citations
4.
Alam, Imranul, Rita Gerard-O’Riley, Madeline Murphy, et al.. (2022). Bone marrow transplantation as a therapy for autosomal dominant osteopetrosis type 2 in mice. The FASEB Journal. 36(9). e22471–e22471. 4 indexed citations
5.
Alam, Imranul, et al.. (2021). Chloroquine increases osteoclast activity in vitro but does not improve the osteopetrotic bone phenotype of ADO2 mice. Bone. 153. 116160–116160. 2 indexed citations
6.
Alam, Imranul, Austin M. Reilly, Rita Gerard-O’Riley, et al.. (2018). Overexpression of WNT16 Does Not Prevent Cortical Bone Loss Due to Glucocorticoid Treatment in Mice. JBMR Plus. 3(4). e10084–e10084. 12 indexed citations
7.
Alam, Imranul, Austin M. Reilly, Rita Gerard-O’Riley, et al.. (2017). Bone Mass and Strength are Significantly Improved in Mice Overexpressing Human WNT16 in Osteocytes. PMC. 1 indexed citations
8.
9.
Alam, Imranul, et al.. (2016). Bone Mass and Strength are Significantly Improved in Mice Overexpressing Human WNT16 in Osteocytes. Calcified Tissue International. 100(4). 361–373. 17 indexed citations
10.
Mangiavini, Laura, Christophe Merceron, Elisa Araldi, et al.. (2015). Fibrosis and Hypoxia-Inducible Factor-1α–Dependent Tumors of the Soft Tissue on Loss of Von Hippel-Lindau in Mesenchymal Progenitors. American Journal Of Pathology. 185(11). 3090–3101. 8 indexed citations
11.
Alam, Imranul, et al.. (2015). Interferon Gamma, but not Calcitriol Improves the Osteopetrotic Phenotypes in ADO2 Mice. Journal of Bone and Mineral Research. 30(11). 2005–2013. 22 indexed citations
12.
Cheng, Ying‐Hua, David L. Waning, Brahmananda R. Chitteti, et al.. (2014). Signaling Pathways Involved in Megakaryocyte‐Mediated Proliferation of Osteoblast Lineage Cells. Journal of Cellular Physiology. 230(3). 578–586. 14 indexed citations
13.
Mangiavini, Laura, Christophe Merceron, Elisa Araldi, et al.. (2014). Loss of VHL in mesenchymal progenitors of the limb bud alters multiple steps of endochondral bone development. Developmental Biology. 393(1). 124–136. 27 indexed citations
14.
Young, Suzanne R.L., et al.. (2013). Focal adhesion kinase is important for fluid shear stress-induced mechanotransduction in osteoblasts. Journal of Bone and Mineral Research. 28(11). 2431–2431.
15.
16.
Alvarez, Marta, Paul Childress, Binu K. Philip, et al.. (2011). Immortalization and characterization of osteoblast cell lines generated from wild‐type and Nmp4‐null mouse bone marrow stromal cells using murine telomerase reverse transcriptase (mTERT). Journal of Cellular Physiology. 227(5). 1873–1882. 13 indexed citations
17.
Bidwell, Joseph P., et al.. (2010). Nmp4/CIZ inhibits mechanically induced β‐catenin signaling activity in osteoblasts. Journal of Cellular Physiology. 223(2). 435–441. 19 indexed citations
18.
Young, Suzanne R.L., Rita Gerard-O’Riley, Maureen A. Harrington, & Fredrick M. Pavalko. (2010). Activation of NF-κB by fluid shear stress, but not TNF-α, requires focal adhesion kinase in osteoblasts. Bone. 47(1). 74–82. 33 indexed citations
19.
Hum, Julia M., Suzanne R.L. Young, Rita Gerard-O’Riley, & Fredrick M. Pavalko. (2010). Mechanical Regulation of Wnt/β-catenin Signaling in Bone Cells. IUScholarWorks (Indiana University). 1 indexed citations
20.
Yang, Jieping, Marta Alvarez, Fredrick M. Pavalko, et al.. (2007). Nmp4/CIZ contributes to fluid shear stress induced MMP‐13 gene induction in osteoblasts. Journal of Cellular Biochemistry. 102(5). 1202–1213. 20 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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