Matteo Zago

2.3k total citations · 1 hit paper
108 papers, 1.5k citations indexed

About

Matteo Zago is a scholar working on Orthopedics and Sports Medicine, Surgery and Biomedical Engineering. According to data from OpenAlex, Matteo Zago has authored 108 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Orthopedics and Sports Medicine, 33 papers in Surgery and 30 papers in Biomedical Engineering. Recurrent topics in Matteo Zago's work include Sports injuries and prevention (33 papers), Sports Performance and Training (32 papers) and Balance, Gait, and Falls Prevention (18 papers). Matteo Zago is often cited by papers focused on Sports injuries and prevention (33 papers), Sports Performance and Training (32 papers) and Balance, Gait, and Falls Prevention (18 papers). Matteo Zago collaborates with scholars based in Italy, Brazil and Iran. Matteo Zago's co-authors include Chiarella Sforza, Manuela Galli, Marco Tarabini, Nicola Lovecchio, A Mapelli, F. Marcello Iaia, Christel Galvani, Marina Codari, Claudia Condoluci and Francesco Della Villa and has published in prestigious journals such as PLoS ONE, The American Journal of Sports Medicine and Journal of Biomechanics.

In The Last Decade

Matteo Zago

101 papers receiving 1.5k citations

Hit Papers

Systematic Video Analysis... 2021 2026 2022 2024 2021 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Zago Italy 23 614 429 378 337 163 108 1.5k
Thomas D. O’Brien United Kingdom 23 704 1.1× 286 0.7× 562 1.5× 205 0.6× 139 0.9× 89 1.7k
Eadric Bressel United States 25 1.1k 1.8× 280 0.7× 580 1.5× 385 1.1× 113 0.7× 92 1.8k
René Schwesig Germany 22 984 1.6× 296 0.7× 304 0.8× 434 1.3× 259 1.6× 144 1.7k
Rita Stagni Italy 25 652 1.1× 617 1.4× 1.2k 3.2× 691 2.1× 134 0.8× 102 2.3k
Karl Zabjek Canada 20 411 0.7× 506 1.2× 506 1.3× 897 2.7× 119 0.7× 76 2.1k
Kelly J. Bower Australia 20 301 0.5× 261 0.6× 433 1.1× 722 2.1× 73 0.4× 42 2.0k
Marco Aurélio Vaz Brazil 33 1.5k 2.5× 589 1.4× 1.1k 2.8× 179 0.5× 113 0.7× 191 3.4k
César Ferreira Amorim Brazil 23 450 0.7× 354 0.8× 368 1.0× 277 0.8× 21 0.1× 94 1.6k
A. Thévenon France 29 296 0.5× 529 1.2× 534 1.4× 500 1.5× 48 0.3× 130 2.2k
Lan-Yuen Guo Taiwan 19 358 0.6× 202 0.5× 339 0.9× 159 0.5× 49 0.3× 83 1.2k

Countries citing papers authored by Matteo Zago

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Zago

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Zago

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Zago. A scholar is included among the top collaborators of Matteo Zago 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 Matteo Zago. Matteo Zago 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.
Sobhani, Vahid, et al.. (2025). Effect of double- density foot orthoses on ground reaction forces and lower limb muscle activities during running in adults with and without pronated feet. BMC Sports Science Medicine and Rehabilitation. 17(1). 54–54. 1 indexed citations
2.
Cerveri, Pietro, et al.. (2024). Agreement of Total Distance and Speed Metrics Across Multiple Football Tracking Devices. 269–273. 2 indexed citations
3.
Deriu, Marco A., et al.. (2024). Validation of Step Detection and Distance Calculation Algorithms for Soccer Performance Monitoring. Sensors. 24(11). 3343–3343. 1 indexed citations
4.
Zago, Matteo, et al.. (2023). Technical Differences over the Course of the Match: An Analysis of Three Elite Teams in the UEFA Champions League. Sports. 11(2). 46–46. 6 indexed citations
5.
Jafarnezhadgero, AmirAli, et al.. (2023). Muscle activation while running on the ground compared to artificial turf in males with pronated and supinated feet. Gait & Posture. 107. 306–311. 1 indexed citations
6.
Zago, Matteo, et al.. (2022). Motion characteristics of Under-15, Under-17 and Under-19 Italian youth women soccer matches. The Journal of Sports Medicine and Physical Fitness. 63(2). 223–229. 1 indexed citations
7.
Zago, Matteo, Matthew Buckthorpe, Alberto Grassi, et al.. (2021). Systematic Video Analysis of Anterior Cruciate Ligament Injuries in Professional Female Soccer Players. The American Journal of Sports Medicine. 49(7). 1794–1802. 108 indexed citations breakdown →
8.
Galli, Manuela, et al.. (2021). Lower limbs muscle activation during instep kick in soccer: effects of dominance and ball condition. Science and Medicine in Football. 6(1). 40–48. 6 indexed citations
9.
Ceccarelli, Gabriele, et al.. (2020). BMI and inverted BMI as predictors of fat mass in young people: a comparison across the ages. Annals of Human Biology. 47(3). 237–243. 9 indexed citations
10.
Galli, Manuela, et al.. (2020). Muscle activation varies between high-bar and low-bar back squat. PeerJ. 8. e9256–e9256. 8 indexed citations
11.
Zago, Matteo, Natália de Almeida Carvalho Duarte, Luanda André Collange Grecco, et al.. (2020). Gait and postural control patterns and rehabilitation in Down syndrome: a systematic review. Journal of Physical Therapy Science. 32(4). 303–314. 24 indexed citations
12.
Jafarnezhadgero, AmirAli, et al.. (2019). Effects of varus knee alignment on gait biomechanics and lower limb muscle activity in boys: A cross sectional study. Gait & Posture. 72. 69–75. 11 indexed citations
13.
Lovecchio, Nicola, Dario Novak, Pál Hamar, et al.. (2019). Physical fitness for sedentary students: a common trend from six European countries. The Journal of Sports Medicine and Physical Fitness. 59(8). 1389–1396. 16 indexed citations
14.
Zago, Matteo, Chiarella Sforza, Virgilio F. Ferrario, Fabio Esposito, & Manuela Galli. (2018). FATIGUE ALTERS THE BIOMECHANICS OF TURNS WHILE RUNNING. ISBS Proceedings Archive. 36(1). 12.
15.
Zago, Matteo, Fabio Esposito, Eloisa Limonta, et al.. (2018). Kinematic algorithm to determine the energy cost of running with changes of direction. Journal of Biomechanics. 76. 189–196. 7 indexed citations
17.
Zago, Matteo, et al.. (2016). Determinants of the half-turn with the ball in sub-elite youth soccer players. Sports Biomechanics. 15(2). 234–244. 3 indexed citations
18.
Zago, Matteo, et al.. (2015). Three-dimensional analysis of balance control strategies in elite karateka. Italian Journal of Anatomy and Embryology. 120(1). 212–212.
19.
Codari, Marina, Matteo Zago, Valentina Pucciarelli, et al.. (2015). The nasal septum deviation index (NSDI) based on CBCT data. Dentomaxillofacial Radiology. 45(2). 20150327–20150327. 31 indexed citations
20.
Rollo, Ian, Franco M. Impellizzeri, Matteo Zago, & F. Marcello Iaia. (2014). Effects of 1 Versus 2 Games a Week on Physical and Subjective Scores of Subelite Soccer Players. International Journal of Sports Physiology and Performance. 9(3). 425–431. 38 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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