Luca Rinaudo

650 total citations
36 papers, 465 citations indexed

About

Luca Rinaudo is a scholar working on Orthopedics and Sports Medicine, Surgery and Oncology. According to data from OpenAlex, Luca Rinaudo has authored 36 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Orthopedics and Sports Medicine, 16 papers in Surgery and 11 papers in Oncology. Recurrent topics in Luca Rinaudo's work include Bone health and osteoporosis research (31 papers), Bone and Joint Diseases (15 papers) and Hip and Femur Fractures (13 papers). Luca Rinaudo is often cited by papers focused on Bone health and osteoporosis research (31 papers), Bone and Joint Diseases (15 papers) and Hip and Femur Fractures (13 papers). Luca Rinaudo collaborates with scholars based in Italy, United States and Canada. Luca Rinaudo's co-authors include Fabio Massimo Ulivieri, Carmelo Messina, Luca Petruccio Piodi, L. Vergani, Luca Maria Sconfienza, Bruno Mario Cesana, Francesco Sardanelli, Flavia Libonati, Enzo Grossi and Chiara Colombo and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and eLife.

In The Last Decade

Luca Rinaudo

32 papers receiving 461 citations

Peers

Luca Rinaudo

OSM

SURGE

ONCOL

PHYSI

Kiichi Nonaka Japan

Narihiro Okazaki Japan

Inari S Tamminen Finland

D.H. Birkenhäger-Frenkel Netherlands

Julien Wegrzyn France

Nathalie Portero-Muzy France

Alexander Proctor United States

N.A. Barrington United Kingdom

Michael Jekir United States

Hideko Takagi Japan

Kiichi Nonaka Japan

Luca Rinaudo

349 ×1.0

OSM

94 ×0.5

SURGE

45 ×0.5

216 ×3.0

ONCOL

48 ×0.7

PHYSI

Citations per year, relative to Luca Rinaudo Luca Rinaudo (= 1×) peers Kiichi Nonaka

Countries citing papers authored by Luca Rinaudo

Since Specialization

Citations

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

Fields of papers citing papers by Luca Rinaudo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Rinaudo

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Rinaudo. A scholar is included among the top collaborators of Luca Rinaudo 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 Luca Rinaudo. Luca Rinaudo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rinaudo, Luca, Carmelo Messina, Veronica Magni, et al.. (2024). Generation and Validation of Normative, Age-Specific Reference Curves for Bone Strain Index in Women. Diagnostics. 14(10). 1046–1046. 2 indexed citations

Bonaccorsi, Gloria, et al.. (2024). Usefulness of DXA-based bone strain index in postmenopausal women with type 2 diabetes mellitus. Archives of Osteoporosis. 19(1). 54–54.

Laganà, Marta, Manuel Zamparini, Vito Amoroso, et al.. (2024). Body composition in early breast cancer patients treated with adjuvant aromatase inhibitors: Does dietary counseling matter?. The Breast. 78. 103794–103794.

Volta, Alberto Dalla, Carlotta Palumbo, Stefania Zamboni, et al.. (2024). Relationship between circulating FSH levels and body composition and bone health in patients with prostate cancer who undergo androgen deprivation therapy: The BLADE study. eLife. 13. 3 indexed citations

Morenghi, Emanuela, Luca Rinaudo, Elisa Sala, et al.. (2024). DXA-derived lumbar bone strain index corrected for kyphosis is associated with vertebral fractures and trabecular bone score in acromegaly. Endocrine. 85(3). 1319–1326. 1 indexed citations

Tabacco, Gaia, Anda Mihaela Naciu, Carmelo Messina, et al.. (2023). DXA-based bone strain index in normocalcemic primary hyperparathyroidism. Osteoporosis International. 34(5). 999–1003. 9 indexed citations

Volta, Alberto Dalla, Carlotta Palumbo, Stefania Zamboni, et al.. (2023). Heterogeneity in regional changes in body composition induced by androgen deprivation therapy in prostate cancer patients: potential impact on bone health—the BLADE study. Journal of Endocrinological Investigation. 47(2). 335–343. 7 indexed citations

Sornay‐Rendu, Elisabeth, F. Duboeuf, Fabio Massimo Ulivieri, Luca Rinaudo, & Roland Chapurlat. (2022). The bone strain index predicts fragility fractures. The OFELY study. Bone. 157. 116348–116348. 19 indexed citations

Ulivieri, Fabio Massimo, Luca Rinaudo, Carmelo Messina, et al.. (2022). Bone Strain Index: preliminary distributional characteristics in a population of women with normal bone mass, osteopenia and osteoporosis. La radiologia medica. 127(10). 1151–1158. 9 indexed citations

10.

Palumbo, Carlotta, Alessandro Antonelli, Luca Triggiani, et al.. (2021). Changes in body composition and lipid profile in prostate cancer patients without bone metastases given Degarelix treatment: the BLADE prospective cohort study. Prostate Cancer and Prostatic Diseases. 24(3). 852–859. 9 indexed citations

11.

Ulivieri, Fabio Massimo, Luca Rinaudo, Luca Petruccio Piodi, et al.. (2021). Bone strain index as a predictor of further vertebral fracture in osteoporotic women: An artificial intelligence-based analysis. PLoS ONE. 16(2). e0245967–e0245967. 21 indexed citations

12.

Ulivieri, Fabio Massimo, Luca Rinaudo, Carmelo Messina, et al.. (2021). Bone Strain Index predicts fragility fracture in osteoporotic women: an artificial intelligence-based study. European Radiology Experimental. 5(1). 47–47. 18 indexed citations

13.

Buccino, Federica, et al.. (2021). 2D and 3D numerical models to evaluate trabecular bone damage. Medical & Biological Engineering & Computing. 59(10). 2139–2152. 15 indexed citations

14.

Messina, Carmelo, Luca Rinaudo, Bruno Mario Cesana, et al.. (2020). Prediction of osteoporotic fragility re-fracture with lumbar spine DXA-based derived bone strain index: a multicenter validation study. Osteoporosis International. 32(1). 85–91. 22 indexed citations

15.

Messina, Carmelo, Luca Petruccio Piodi, Enzo Grossi, et al.. (2020). Artificial neural network analysis of bone quality DXA parameters response to teriparatide in fractured osteoporotic patients. PLoS ONE. 15(3). e0229820–e0229820. 25 indexed citations

16.

Ulivieri, Fabio Massimo, et al.. (2020). Bone strain index in the prediction of vertebral fragility refracture. European Radiology Experimental. 4(1). 23–23. 13 indexed citations

17.

Messina, Carmelo, et al.. (2020). Short-Term Precision Error of Bone Strain Index, a New DXA-Based Finite Element Analysis Software for Assessing Hip Strength. Journal of Clinical Densitometry. 24(2). 330–337. 10 indexed citations

18.

Messina, Carmelo, Luca Petruccio Piodi, Luca Rinaudo, et al.. (2019). Reproducibility of DXA-based bone strain index and the influence of body mass: an in vivo study. La radiologia medica. 125(3). 313–318. 8 indexed citations

19.

Colombo, Chiara, et al.. (2019). A new finite element based parameter to predict bone fracture. PLoS ONE. 14(12). e0225905–e0225905. 31 indexed citations

20.

Terzini, Mara, Alessandra Aldieri, Luca Rinaudo, et al.. (2019). Improving the Hip Fracture Risk Prediction Through 2D Finite Element Models From DXA Images: Validation Against 3D Models. Frontiers in Bioengineering and Biotechnology. 7. 220–220. 29 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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