Francesco Travascio

1.3k total citations
69 papers, 977 citations indexed

About

Francesco Travascio is a scholar working on Surgery, Biomedical Engineering and Pathology and Forensic Medicine. According to data from OpenAlex, Francesco Travascio has authored 69 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Surgery, 27 papers in Biomedical Engineering and 22 papers in Pathology and Forensic Medicine. Recurrent topics in Francesco Travascio's work include Spine and Intervertebral Disc Pathology (22 papers), Total Knee Arthroplasty Outcomes (16 papers) and Knee injuries and reconstruction techniques (15 papers). Francesco Travascio is often cited by papers focused on Spine and Intervertebral Disc Pathology (22 papers), Total Knee Arthroplasty Outcomes (16 papers) and Knee injuries and reconstruction techniques (15 papers). Francesco Travascio collaborates with scholars based in United States, Italy and India. Francesco Travascio's co-authors include Shihab Asfour, Alicia R. Jackson, Shady Elmasry, Wei Yong Gu, Juan Pablo de Rivero Vaccari, Thomas M. Best, Wei Gu, Roberto Serpieri, Rakesh K. Jain and Paolo A. Netti and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Spine.

In The Last Decade

Francesco Travascio

64 papers receiving 971 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Travascio United States 20 451 376 301 231 126 69 977
Zong‐Ping Luo China 19 528 1.2× 322 0.9× 346 1.1× 177 0.8× 112 0.9× 66 1.1k
Alicia R. Jackson United States 19 433 1.0× 419 1.1× 335 1.1× 289 1.3× 171 1.4× 43 848
John E. Novotny United States 16 379 0.8× 167 0.4× 165 0.5× 121 0.5× 201 1.6× 29 713
Xinmin Feng China 21 521 1.2× 608 1.6× 121 0.4× 179 0.8× 51 0.4× 83 1.4k
Donghua Huang China 20 229 0.5× 404 1.1× 247 0.8× 269 1.2× 96 0.8× 44 1.0k
Morakot Likhitpanichkul United States 13 385 0.9× 252 0.7× 327 1.1× 219 0.9× 95 0.8× 15 859
Shang‐Chih Lin Taiwan 20 611 1.4× 339 0.9× 239 0.8× 132 0.6× 38 0.3× 59 1.1k
Jeffrey C. Lotz United States 10 622 1.4× 851 2.3× 295 1.0× 630 2.7× 102 0.8× 11 1.4k
Alejandro A. Espinoza Orías United States 22 1.2k 2.7× 802 2.1× 432 1.4× 462 2.0× 104 0.8× 73 1.7k
Gabriel Agar Israel 20 617 1.4× 93 0.2× 218 0.7× 155 0.7× 345 2.7× 69 1.2k

Countries citing papers authored by Francesco Travascio

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Travascio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Travascio

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Travascio. A scholar is included among the top collaborators of Francesco Travascio 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 Francesco Travascio. Francesco Travascio 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.
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Best, Thomas M., et al.. (2023). Biomechanical properties of porcine meniscus as determined via AFM: Effect of region, compartment and anisotropy. PLoS ONE. 18(1). e0280616–e0280616. 5 indexed citations
3.
Best, Thomas M., et al.. (2023). Effect of molecular weight and tissue layer on solute partitioning in the knee meniscus. SHILAP Revista de lepidopterología. 5(2). 100360–100360. 3 indexed citations
4.
Mantero, Alejandro, et al.. (2022). Mechanisms of energy dissipation and relationship with tissue composition in human meniscus. Osteoarthritis and Cartilage. 30(4). 605–612. 16 indexed citations
5.
Filippone, Giovanni, et al.. (2022). Mechanical properties of meniscal circumferential fibers using an inverse finite element analysis approach. Journal of the mechanical behavior of biomedical materials. 126. 105073–105073. 19 indexed citations
6.
Tiozzo, Eduard, et al.. (2022). The effect of clinically elevated body mass index on physiological stress during manual lifting activities. PLoS ONE. 17(12). e0278858–e0278858. 4 indexed citations
7.
8.
Best, Thomas M., et al.. (2022). Strain-Dependent Diffusivity of Small and Large Molecules in Meniscus. Journal of Biomechanical Engineering. 144(11). 8 indexed citations
9.
Elmasry, Shady, et al.. (2022). Computational Modeling Intervertebral Disc Pathophysiology: A Review. Frontiers in Physiology. 12. 750668–750668. 23 indexed citations
10.
Travascio, Francesco, et al.. (2022). Mechanobiological Approaches for Stimulating Chondrogenesis of Stem Cells. Stem Cells and Development. 31(15-16). 460–487. 12 indexed citations
11.
Travascio, Francesco, et al.. (2020). Molecular and macromolecular diffusion in human meniscus: relationships with tissue structure and composition. Osteoarthritis and Cartilage. 28(3). 375–382. 19 indexed citations
12.
McGuire, Robert A., et al.. (2020). Cervical Spine Fusion: Biomechanics of a Three-Level Cadaver Model Comparing Anterior Plate versus Stand-Alone Cage. Journal of Long-Term Effects of Medical Implants. 30(2). 135–140. 1 indexed citations
13.
Travascio, Francesco, Leonard T. Buller, Edward Milne, & Loren L. Latta. (2020). Mechanical performance and implications on bone healing of different screw configurations for plate fixation of diaphyseal tibia fractures: a computational study. European Journal of Orthopaedic Surgery & Traumatology. 31(1). 121–130. 15 indexed citations
14.
Travascio, Francesco. (2017). The Role of Matrix Metalloproteinase in Human Body Pathologies. InTech eBooks. 20 indexed citations
15.
Onar‐Thomas, Arzu, et al.. (2017). Attainment and retention of force moderation following laparoscopic resection training with visual force feedback. Surgical Endoscopy. 31(11). 4805–4815. 5 indexed citations
16.
Eltoukhy, Moataz, et al.. (2015). Assessment of dynamic balance via measurement of lower extremities tortuosity. Sports Biomechanics. 14(1). 18–27. 2 indexed citations
17.
Elmasry, Shady, Shihab Asfour, Juan Pablo de Rivero Vaccari, & Francesco Travascio. (2015). Effects of Tobacco Smoking on the Degeneration of the Intervertebral Disc: A Finite Element Study. PLoS ONE. 10(8). e0136137–e0136137. 82 indexed citations
18.
Travascio, Francesco, Shady Elmasry, & Shihab Asfour. (2014). Modeling the role of IGF-1 on extracellular matrix biosynthesis and cellularity in intervertebral disc. Journal of Biomechanics. 47(10). 2269–2276. 25 indexed citations
19.
Serpieri, Roberto, et al.. (2013). Fundamental solutions for a coupled formulation of porous biphasic media with compressible solid and fluid phases. QRU Quaderns de Recerca en Urbanisme. 1142–1153. 3 indexed citations
20.
Travascio, Francesco, Alicia R. Jackson, Mark D. Brown, & Wei Yong Gu. (2009). Relationship between solute transport properties and tissue morphology in human annulus fibrosus. Journal of Orthopaedic Research®. 27(12). 1625–1630. 42 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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