Mary Oates

709 total citations
27 papers, 428 citations indexed

About

Mary Oates is a scholar working on Orthopedics and Sports Medicine, Oncology and Surgery. According to data from OpenAlex, Mary Oates has authored 27 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Orthopedics and Sports Medicine, 10 papers in Oncology and 7 papers in Surgery. Recurrent topics in Mary Oates's work include Bone health and osteoporosis research (18 papers), Bone health and treatments (9 papers) and Bone and Joint Diseases (8 papers). Mary Oates is often cited by papers focused on Bone health and osteoporosis research (18 papers), Bone health and treatments (9 papers) and Bone and Joint Diseases (8 papers). Mary Oates collaborates with scholars based in United States, Belgium and Canada. Mary Oates's co-authors include Cesar Libanati, Bente Langdahl, Arkadi Chines, Zhenxun Wang, Akimitsu Miyauchi, Neil Binkley, Jacques P. Brown, Serge Ferrari, E. Michael Lewiecki and Yi Xia and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Bone and Mineral Research and Annals of the Rheumatic Diseases.

In The Last Decade

Mary Oates

26 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary Oates United States 11 289 180 145 89 49 27 428
Maria Carola Zillikens Netherlands 4 298 1.0× 137 0.8× 139 1.0× 84 0.9× 53 1.1× 5 396
G. P. Dalsky United States 3 456 1.6× 324 1.8× 187 1.3× 112 1.3× 12 0.2× 4 533
Carlos García Gómez Spain 9 226 0.8× 101 0.6× 59 0.4× 53 0.6× 23 0.5× 27 330
Guillermo Martínez Diaz‐Guerra Spain 10 128 0.4× 101 0.6× 48 0.3× 65 0.7× 20 0.4× 52 310
Yingcai Ma China 4 137 0.5× 61 0.3× 108 0.7× 82 0.9× 48 1.0× 12 339
Federica Paglia Italy 7 152 0.5× 115 0.6× 41 0.3× 59 0.7× 17 0.3× 11 298
Hai Tang China 11 147 0.5× 71 0.4× 63 0.4× 244 2.7× 36 0.7× 38 397
Masanori Taketsuna Japan 11 100 0.3× 106 0.6× 45 0.3× 108 1.2× 13 0.3× 23 298
R. Caresse Hightower United States 12 133 0.5× 36 0.2× 55 0.4× 66 0.7× 48 1.0× 14 389
Miguel Quesada‐Charneco Spain 8 79 0.3× 55 0.3× 35 0.2× 66 0.7× 20 0.4× 18 283

Countries citing papers authored by Mary Oates

Since Specialization
Citations

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

Fields of papers citing papers by Mary Oates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Oates

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Oates. A scholar is included among the top collaborators of Mary Oates 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 Mary Oates. Mary Oates 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.
Ferrari, Serge, Robert G. Feldman, Bente Langdahl, et al.. (2025). Romosozumab Improves Tissue Thickness–Adjusted Trabecular Bone Score in Women With Osteoporosis and Diabetes. The Journal of Clinical Endocrinology & Metabolism. 110(10). 2861–2868. 1 indexed citations
2.
Lewiecki, E. Michael, Ludovic Humbert, Cesar Libanati, et al.. (2024). 3D-modeling from hip DXA shows improved bone structure with romosozumab followed by denosumab or alendronate. Journal of Bone and Mineral Research. 39(4). 473–483. 10 indexed citations
3.
Cosman, Felicia, et al.. (2024). Romosozumab followed by denosumab versus denosumab only: a post hoc analysis of FRAME and FRAME extension. Journal of Bone and Mineral Research. 39(9). 1268–1277. 8 indexed citations
4.
Eriksen, Erik Fink, Rogely Boyce, Yifei Shi, et al.. (2024). Reconstruction of remodeling units reveals positive effects after 2 and 12 months of romosozumab treatment. Journal of Bone and Mineral Research. 39(6). 729–736. 8 indexed citations
5.
Lane, Joseph M., Bente Langdahl, Mike Stone, et al.. (2024). Romosozumab in patients who experienced an on-study fracture: post hoc analyses of the FRAME and ARCH phase 3 trials. Osteoporosis International. 35(7). 1195–1204. 4 indexed citations
6.
7.
Xu, Xiaoqing, et al.. (2022). Medical management patterns in a US commercial claims database following a nontraumatic fracture in postmenopausal women. Archives of Osteoporosis. 17(1). 92–92. 2 indexed citations
8.
Langdahl, Bente, Lorenz C. Hofbauer, Serge Ferrari, et al.. (2022). Romosozumab efficacy and safety in European patients enrolled in the FRAME trial. Osteoporosis International. 33(12). 2527–2536. 8 indexed citations
9.
Åkesson, Kristina, et al.. (2022). Post-fracture care programs for prevention of subsequent fragility fractures: a literature assessment of current trends. Osteoporosis International. 33(8). 1659–1676. 17 indexed citations
10.
11.
12.
Liu, Jiannong, et al.. (2021). Heavy clinical and economic burden of osteoporotic fracture among elderly female Medicare beneficiaries. Osteoporosis International. 33(2). 413–423. 11 indexed citations
13.
Geusens, Piet, Robert Feldman, Mary Oates, et al.. (2021). Romosozumab reduces incidence of new vertebral fractures across severity grades among postmenopausal women with osteoporosis. Bone. 154. 116209–116209. 12 indexed citations
14.
Hamilton, Celeste J., et al.. (2020). Deep Learning With Electronic Health Records for Short-Term Fracture Risk Identification: Crystal Bone Algorithm Development and Validation. Journal of Medical Internet Research. 22(10). e22550–e22550. 30 indexed citations
15.
Liu, Jiannong, Andrew J. Laster, Xiaoqing Xu, et al.. (2020). Patterns of Teriparatide and Sequential Antiresorptive Agent Treatment Among Elderly Female Medicare Beneficiaries. Journal of Bone and Mineral Research. 36(12). 2309–2316. 3 indexed citations
16.
Miller, P. D., Jonathan D. Adachi, Ben‐Hur Albergaria, et al.. (2020). OP0297 EFFICACY AND SAFETY OF ROMOSOZUMAB AMONG POSTMENOPAUSAL WOMEN WITH OSTEOPOROSIS AND MILD-TO-MODERATE CHRONIC KIDNEY DISEASE. Annals of the Rheumatic Diseases. 79. 185–185. 9 indexed citations
17.
Geusens, Piet, Mary Oates, Akimitsu Miyauchi, et al.. (2019). The Effect of 1 Year of Romosozumab on the Incidence of Clinical Vertebral Fractures in Postmenopausal Women With Osteoporosis: Results From the FRAME Study. JBMR Plus. 3(10). e10211–e10211. 26 indexed citations
18.
Lewiecki, E. Michael, John P. Bilezikian, Neil Binkley, et al.. (2015). Update on osteoporosis from the 2014 Santa Fe Bone symposium. Endocrine Research. 40(2). 106–119. 14 indexed citations
19.
Ergun, David L., Megan Rothney, Mary Oates, et al.. (2012). Visceral Adipose Tissue Quantification Using Lunar Prodigy. Journal of Clinical Densitometry. 16(1). 75–78. 39 indexed citations
20.
Huizenga, Robert & Mary Oates. (2007). Precision of lunar iDXA total body BMD and composition measurements on obese subjects. Journal of Clinical Densitometry. 10(2). S208–S208. 6 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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