Fabio Galbusera

7.1k total citations · 1 hit paper
193 papers, 4.9k citations indexed

About

Fabio Galbusera is a scholar working on Surgery, Pathology and Forensic Medicine and Biomedical Engineering. According to data from OpenAlex, Fabio Galbusera has authored 193 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Surgery, 130 papers in Pathology and Forensic Medicine and 80 papers in Biomedical Engineering. Recurrent topics in Fabio Galbusera's work include Spine and Intervertebral Disc Pathology (130 papers), Spinal Fractures and Fixation Techniques (76 papers) and Medical Imaging and Analysis (63 papers). Fabio Galbusera is often cited by papers focused on Spine and Intervertebral Disc Pathology (130 papers), Spinal Fractures and Fixation Techniques (76 papers) and Medical Imaging and Analysis (63 papers). Fabio Galbusera collaborates with scholars based in Italy, Germany and Switzerland. Fabio Galbusera's co-authors include Hans‐Joachim Wilke, Marco Brayda‐Bruno, Tito Bassani, Hendrik Schmidt, Gloria Casaroli, Tomaso Villa, Chiara Bellini, Maurizio Fornari, Francesco Costa and Manuela Teresa Raimondi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Fabio Galbusera

185 papers receiving 4.8k citations

Hit Papers

Pedicle screw loosening: a clinically relevant complication? 2015 2026 2018 2022 2015 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabio Galbusera Italy 38 3.2k 3.0k 1.8k 1.2k 365 193 4.9k
Mazda Farshad Switzerland 37 4.3k 1.4× 1.8k 0.6× 1.1k 0.6× 717 0.6× 544 1.5× 331 5.4k
René M. Castelein Netherlands 39 4.8k 1.5× 1.6k 0.5× 659 0.4× 438 0.4× 327 0.9× 239 6.0k
Stefan Parent Canada 42 4.7k 1.5× 2.7k 0.9× 850 0.5× 232 0.2× 129 0.4× 295 5.7k
Carl‐Éric Aubin Canada 42 4.6k 1.4× 2.7k 0.9× 1.0k 0.6× 303 0.2× 167 0.5× 259 5.3k
Marco Brayda‐Bruno Italy 32 1.9k 0.6× 1.9k 0.6× 504 0.3× 859 0.7× 181 0.5× 124 2.9k
Wafa Skalli France 49 8.3k 2.6× 4.4k 1.5× 2.7k 1.5× 1.1k 0.9× 964 2.6× 423 10.6k
Michael M. Morlock Germany 49 6.2k 2.0× 708 0.2× 1.5k 0.8× 244 0.2× 834 2.3× 316 8.5k
Lutz P. Nolte Switzerland 32 2.5k 0.8× 1.5k 0.5× 899 0.5× 387 0.3× 150 0.4× 79 3.3k
Cheng‐Kung Cheng Taiwan 42 2.8k 0.9× 938 0.3× 1.7k 0.9× 460 0.4× 702 1.9× 201 4.8k
Kengo Yamamoto Japan 29 2.2k 0.7× 550 0.2× 344 0.2× 210 0.2× 125 0.3× 192 2.9k

Countries citing papers authored by Fabio Galbusera

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Galbusera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Galbusera

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Galbusera. A scholar is included among the top collaborators of Fabio Galbusera 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 Fabio Galbusera. Fabio Galbusera 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.
Bisotti, Marc-Antonio, et al.. (2024). Dataset of Finite Element Models of Normal and Deformed Thoracolumbar Spine. Scientific Data. 11(1). 549–549. 3 indexed citations
2.
Bassani, Tito, Dominika Ignasiak, Andrea Cina, & Fabio Galbusera. (2024). Prediction of trunk muscle activation and spinal forces in adolescent idiopathic scoliosis during simulated trunk motion: A musculoskeletal modelling study. Journal of Biomechanics. 163. 111918–111918. 1 indexed citations
3.
Pellisé, Ferrán, Sleiman Haddad, Susana Núñez-Pereira, et al.. (2024). Radiomics-Powered Radiographic Image Analysis for Enhanced Mechanical Complications Prediction and Surgical Planning in Adult Spine Deformity. SHILAP Revista de lepidopterología. 4. 103227–103227. 1 indexed citations
4.
Vitale, Jacopo Antonino, Anne F. Mannion, Daniel Haschtmann, et al.. (2024). Fat beyond muscle: Assessing epimuscular fat of the lumbar spine and its association with vertebral level, demographics, BMI, and low back pain. SHILAP Revista de lepidopterología. 4. 103916–103916.
5.
Fan, Wai Yip, et al.. (2024). Fiber‐Dependent 3D Anisotropic Stiffness‐Tunable Biomimetic Intervertebral Disc via Multi‐Material Additive Manufacturing. Advanced Functional Materials. 35(4). 1 indexed citations
6.
Cannizzaro, Delia, Carla Daniela Anania, Andrea Pizzi, et al.. (2023). The lumbar adjacent-level syndrome: analysis of clinical, radiological, and surgical parameters in a large single-center series. Journal of Neurosurgery Spine. 39(4). 479–489.
7.
Vitale, Jacopo Antonino, et al.. (2023). Effect of a mattress on lumbar spine alignment in supine position in healthy subjects: an MRI study. European Radiology Experimental. 7(1). 47–47. 4 indexed citations
8.
Vitale, Jacopo Antonino, et al.. (2023). Cross-sectional area and fat infiltration of the lumbar spine muscles in patients with back disorders: a deep learning-based big data analysis. European Spine Journal. 33(1). 1–10. 7 indexed citations
9.
Cina, Andrea, Catherine R. Jutzeler, Daniel Haschtmann, et al.. (2023). Automatic Calculation of Cervical Spine Parameters Using Deep Learning: Development and Validation on an External Dataset. Global Spine Journal. 15(2). 710–721. 2 indexed citations
10.
Qian, Zhihui, Kunyang Wang, Jing Liu, et al.. (2023). Total disc replacement devices: Structure, material, fabrication, and properties. Progress in Materials Science. 140. 101189–101189. 13 indexed citations
11.
Qian, Zhihui, Xiangyu Liu, Guanghui Li, et al.. (2023). Bioinspired Intervertebral Disc with Multidirectional Stiffness Prepared via Multimaterial Additive Manufacturing. Advanced Functional Materials. 33(44). 9 indexed citations
12.
Rosenberg, Guillermo Sánchez, Andrea Cina, Giuseppe Rosario Schirò, et al.. (2022). Artificial Intelligence Accurately Detects Traumatic Thoracolumbar Fractures on Sagittal Radiographs. Medicina. 58(8). 998–998. 18 indexed citations
13.
Berjano, Pedro, Francesco Langella, David Huber, et al.. (2021). The Influence of Baseline Clinical Status and Surgical Strategy on Early Good to Excellent Result in Spinal Lumbar Arthrodesis: A Machine Learning Approach. Journal of Personalized Medicine. 11(12). 1377–1377. 13 indexed citations
14.
Chianca, Vito, Renato Cuocolo, Salvatore Gitto, et al.. (2021). Radiomic Machine Learning Classifiers in Spine Bone Tumors: A Multi-Software, Multi-Scanner Study. European Journal of Radiology. 137. 109586–109586. 52 indexed citations
15.
Vitale, Jacopo Antonino, Carmelo Messina, Domenico Albano, et al.. (2021). Appendicular Muscle Mass, Thigh Intermuscular Fat Infiltration, and Risk of Fall in Postmenopausal Osteoporotic Elder Women. Gerontology. 67(4). 415–424. 19 indexed citations
16.
Bottagisio, Marta, Arianna B. Lovati, Fabio Galbusera, Lorenzo Drago, & Giuseppe Banfi. (2019). A Precautionary Approach to Guide the Use of Transition Metal-Based Nanotechnology to Prevent Orthopedic Infections. Materials. 12(2). 314–314. 9 indexed citations
17.
Niemeyer, Frank, et al.. (2018). Influence of morphology and material properties on the range of motion of the costovertebral joint – a probabilistic finite element analysis. Computer Methods in Biomechanics & Biomedical Engineering. 21(14). 731–739. 6 indexed citations
18.
Niemeyer, Frank, et al.. (2018). Uncertainty analysis of material properties and morphology parameters in numerical models regarding the motion of lumbar vertebral segments. Computer Methods in Biomechanics & Biomedical Engineering. 21(12). 673–683. 12 indexed citations
19.
Niemeyer, Frank, et al.. (2018). Asymmetrical intrapleural pressure distribution: a cause for scoliosis? A computational analysis. European Journal of Applied Physiology. 118(7). 1315–1329. 6 indexed citations
20.
Galbusera, Fabio, Federica Anasetti, Simone Bersini, et al.. (2013). Does soccer cleat design influence the rotational interaction with the playing surface?. Sports Biomechanics. 12(3). 293–301. 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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