Sami P. Väänänen

751 total citations
26 papers, 564 citations indexed

About

Sami P. Väänänen is a scholar working on Surgery, Orthopedics and Sports Medicine and Biomedical Engineering. According to data from OpenAlex, Sami P. Väänänen has authored 26 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 16 papers in Orthopedics and Sports Medicine and 10 papers in Biomedical Engineering. Recurrent topics in Sami P. Väänänen's work include Bone health and osteoporosis research (16 papers), Hip disorders and treatments (11 papers) and Orthopaedic implants and arthroplasty (7 papers). Sami P. Väänänen is often cited by papers focused on Bone health and osteoporosis research (16 papers), Hip disorders and treatments (11 papers) and Orthopaedic implants and arthroplasty (7 papers). Sami P. Väänänen collaborates with scholars based in Finland, Sweden and Netherlands. Sami P. Väänänen's co-authors include Jukka S. Jurvelin, Hanna Isaksson, Lorenzo Grassi, Amir A. Zadpoor, Harrie Weinans, Matti Ristinmaa, Saber Amin Yavari, Gunnar Flivik, Juha Töyräs and Juuso T. J. Honkanen and has published in prestigious journals such as Journal of Bone and Mineral Research, Journal of Biomechanics and Bone.

In The Last Decade

Sami P. Väänänen

25 papers receiving 556 citations

Peers

Sami P. Väänänen
Bryant C. Roberts United Kingdom
Sami P. Väänänen
Citations per year, relative to Sami P. Väänänen Sami P. Väänänen (= 1×) peers Bryant C. Roberts

Countries citing papers authored by Sami P. Väänänen

Since Specialization
Citations

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

Fields of papers citing papers by Sami P. Väänänen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sami P. Väänänen. 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 Sami P. Väänänen. The network helps show where Sami P. Väänänen may publish in the future.

Co-authorship network of co-authors of Sami P. Väänänen

This figure shows the co-authorship network connecting the top 25 collaborators of Sami P. Väänänen. A scholar is included among the top collaborators of Sami P. Väänänen 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 Sami P. Väänänen. Sami P. Väänänen 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.
Sund, Reijo, et al.. (2025). Identifying proximal humerus fractures: an algorithmic approach using registers and radiological visit data. Osteoporosis International. 36(4). 645–651.
2.
Grassi, Lorenzo, et al.. (2025). DXA-based 3D finite element models predict hip fractures better than areal BMD in elderly women. Bone. 195. 117457–117457. 4 indexed citations
3.
Sund, Reijo, et al.. (2023). Combining Register and Radiological Visits Data Allows to Reliably Identify Incident Wrist Fractures. Clinical Epidemiology. Volume 15. 1001–1008. 1 indexed citations
4.
Grassi, Lorenzo, Sami P. Väänänen, Östen Ljunggren, et al.. (2023). 3D Finite Element Models Reconstructed From 2D Dual‐Energy X‐Ray Absorptiometry (DXA) Images Improve Hip Fracture Prediction Compared to Areal BMD in Osteoporotic Fractures in Men (MrOS) Sweden Cohort. Journal of Bone and Mineral Research. 38(9). 1258–1267. 12 indexed citations
5.
Grassi, Lorenzo, Sami P. Väänänen, & Hanna Isaksson. (2021). Statistical Shape and Appearance Models: Development Towards Improved Osteoporosis Care. Current Osteoporosis Reports. 19(6). 676–687. 8 indexed citations
6.
Grassi, Lorenzo, Anna Gustafsson, Yi Zheng, et al.. (2020). Elucidating failure mechanisms in human femurs during a fall to the side using bilateral digital image correlation. Journal of Biomechanics. 106. 109826–109826. 16 indexed citations
7.
Grassi, Lorenzo, Ingmar Fleps, Sami P. Väänänen, et al.. (2020). Validation of 3D finite element models from simulated DXA images for biofidelic simulations of sideways fall impact to the hip. Bone. 142. 115678–115678. 17 indexed citations
8.
Korhonen, Rami K., Juha Töyräs, Petri Tanska, et al.. (2019). Clinical Contrast-Enhanced Computed Tomography With Semi-Automatic Segmentation Provides Feasible Input for Computational Models of the Knee Joint. Journal of Biomechanical Engineering. 142(5). 4 indexed citations
9.
Honkanen, Juuso T. J., et al.. (2018). Method for Segmentation of Knee Articular Cartilages Based on Contrast-Enhanced CT Images. Annals of Biomedical Engineering. 46(11). 1756–1767. 10 indexed citations
10.
Tanska, Petri, Markus K. H. Malo, Hanna Isaksson, et al.. (2017). Tissue viscoelasticity is related to tissue composition but may not fully predict the apparent-level viscoelasticity in human trabecular bone – An experimental and finite element study. Journal of Biomechanics. 65. 96–105. 23 indexed citations
11.
Venäläinen, Mikko S., Mika E. Mononen, Sami P. Väänänen, et al.. (2016). Effect of bone inhomogeneity on tibiofemoral contact mechanics during physiological loading. Journal of Biomechanics. 49(7). 1111–1120. 28 indexed citations
12.
Grassi, Lorenzo, Sami P. Väänänen, Matti Ristinmaa, Jukka S. Jurvelin, & Hanna Isaksson. (2016). Prediction of femoral strength using 3D finite element models reconstructed from DXA images: validation against experiments. Biomechanics and Modeling in Mechanobiology. 16(3). 989–1000. 33 indexed citations
13.
Turunen, Mikael J., Juuso T. J. Honkanen, Sami P. Väänänen, et al.. (2016). In Vivo Contrast-Enhanced Cone Beam CT Provides Quantitative Information on Articular Cartilage and Subchondral Bone. Annals of Biomedical Engineering. 45(3). 811–818. 30 indexed citations
14.
Väänänen, Sami P., Lorenzo Grassi, Gunnar Flivik, Jukka S. Jurvelin, & Hanna Isaksson. (2015). Generation of 3D shape, density, cortical thickness and finite element mesh of proximal femur from a DXA image. Medical Image Analysis. 24(1). 125–134. 78 indexed citations
15.
Grassi, Lorenzo, Sami P. Väänänen, Saber Amin Yavari, et al.. (2013). Experimental validation of finite element model for proximal composite femur using optical measurements. Journal of the mechanical behavior of biomedical materials. 21. 86–94. 66 indexed citations
16.
Väänänen, Sami P., Saber Amin Yavari, Harrie Weinans, et al.. (2013). Repeatability of digital image correlation for measurement of surface strains in composite long bones. Journal of Biomechanics. 46(11). 1928–1932. 42 indexed citations
17.
Väänänen, Sami P., Hanna Isaksson, J.H. Waarsing, et al.. (2012). Estimation of 3D rotation of femur in 2D hip radiographs. Journal of Biomechanics. 45(13). 2279–2283. 7 indexed citations
18.
Väänänen, Sami P., Saber Amin Yavari, Amir A. Zadpoor, et al.. (2012). MEASUREMENT OF SURFACE STRAIN DISTRIBUTION IN COMPOSITE FEMORA USING DIGITAL IMAGE CORRELATION. Journal of Biomechanics. 45. S540–S540. 1 indexed citations
19.
Väänänen, Sami P., Jukka S. Jurvelin, & Hanna Isaksson. (2011). Estimation of 3D shape, internal density and mechanics of proximal femur by combining bone mineral density images with shape and density templates. Biomechanics and Modeling in Mechanobiology. 11(6). 791–800. 20 indexed citations
20.
Väänänen, Sami P., Hanna Isaksson, Petro Julkunen, et al.. (2010). Assessment of the 3-D shape and mechanics of the proximal femur using a shape template and a bone mineral density image. Biomechanics and Modeling in Mechanobiology. 10(4). 529–538. 14 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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