Paolo Taboga

782 total citations
31 papers, 537 citations indexed

About

Paolo Taboga is a scholar working on Biomedical Engineering, Orthopedics and Sports Medicine and Complementary and alternative medicine. According to data from OpenAlex, Paolo Taboga has authored 31 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Biomedical Engineering, 14 papers in Orthopedics and Sports Medicine and 4 papers in Complementary and alternative medicine. Recurrent topics in Paolo Taboga's work include Muscle activation and electromyography studies (15 papers), Sports Performance and Training (13 papers) and Lower Extremity Biomechanics and Pathologies (12 papers). Paolo Taboga is often cited by papers focused on Muscle activation and electromyography studies (15 papers), Sports Performance and Training (13 papers) and Lower Extremity Biomechanics and Pathologies (12 papers). Paolo Taboga collaborates with scholars based in United States, Italy and United Kingdom. Paolo Taboga's co-authors include Alena M. Grabowski, Stefano Lazzer, Nicola Giovanelli, Enrico Rejc, Rodger Kram, Owen N. Beck, P. E. di Prampero, Boštjan Šimunič, G. Antonutto and Wouter Hoogkamer and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Scientific Reports.

In The Last Decade

Paolo Taboga

30 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paolo Taboga United States 15 319 291 91 62 48 31 537
S. Fusi Italy 6 124 0.4× 327 1.1× 115 1.3× 30 0.5× 36 0.8× 8 485
Katja Tomažin Slovenia 15 356 1.1× 552 1.9× 194 2.1× 165 2.7× 61 1.3× 37 760
Amelia A. Miramonti United States 13 202 0.6× 485 1.7× 163 1.8× 70 1.1× 107 2.2× 32 694
Aldo Savoldelli Italy 14 169 0.5× 350 1.2× 170 1.9× 111 1.8× 57 1.2× 44 536
Ryoichi Ema Japan 17 440 1.4× 615 2.1× 91 1.0× 52 0.8× 105 2.2× 32 773
Garry J. Massey United Kingdom 16 403 1.3× 544 1.9× 76 0.8× 32 0.5× 82 1.7× 29 698
Frank N. Bittmann Germany 11 183 0.6× 127 0.4× 32 0.4× 37 0.6× 28 0.6× 39 323
Kenji Masumoto Japan 13 246 0.8× 335 1.2× 152 1.7× 100 1.6× 75 1.6× 33 625
Ricardo Augusto Barbieri Brazil 12 71 0.2× 266 0.9× 101 1.1× 37 0.6× 62 1.3× 47 411
Alex Souto Maior Brazil 13 94 0.3× 330 1.1× 272 3.0× 67 1.1× 62 1.3× 48 615

Countries citing papers authored by Paolo Taboga

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Taboga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Taboga

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Taboga. A scholar is included among the top collaborators of Paolo Taboga 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 Paolo Taboga. Paolo Taboga 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.
Begue, Gwénaëlle, Armin Ahmadi, Paolo Taboga, et al.. (2024). An ergometer dataset to measure muscle bioenergetics with magnetic resonance techniques. Data in Brief. 57. 111114–111114.
2.
Zhang, Janet H., et al.. (2023). Equivalent running leg lengths require prosthetic legs to be longer than biological legs during standing. Scientific Reports. 13(1). 7679–7679. 2 indexed citations
3.
Taboga, Paolo, et al.. (2022). Running-specific prosthesis model, stiffness and height affect biomechanics and asymmetry of athletes with unilateral leg amputations across speeds. Royal Society Open Science. 9(6). 211691–211691. 3 indexed citations
4.
Beck, Owen N., Paolo Taboga, & Alena M. Grabowski. (2022). Sprinting with prosthetic versus biological legs: insight from experimental data. Royal Society Open Science. 9(1). 211799–211799. 12 indexed citations
5.
Taboga, Paolo, et al.. (2020). Prosthetic model, but not stiffness or height, affects maximum running velocity in athletes with unilateral transtibial amputations. Scientific Reports. 10(1). 1763–1763. 10 indexed citations
6.
7.
Taboga, Paolo & Rodger Kram. (2019). Modelling the effect of curves on distance running performance. PeerJ. 7. e8222–e8222. 9 indexed citations
8.
Rejc, Enrico, Paolo Taboga, Rado Pišot, et al.. (2018). Effects of 14 days of bed rest and following physical training on metabolic cost, mechanical work, and efficiency during walking in older and young healthy males. PLoS ONE. 13(3). e0194291–e0194291. 16 indexed citations
9.
Cutini, Maurizio, et al.. (2018). Evaluation of Agricultural Tractor Seat Comfort with a New Protocol Based on Pressure Distribution Assessment. Journal of Agricultural Safety and Health. 24(1). 13–26. 8 indexed citations
10.
Rejc, Enrico, Paolo Taboga, Alberto Botter, et al.. (2017). Loss of maximal explosive power of lower limbs after 2 weeks of disuse and incomplete recovery after retraining in older adults. The Journal of Physiology. 596(4). 647–665. 41 indexed citations
11.
Taboga, Paolo & Alena M. Grabowski. (2017). Axial and torsional stiffness of pediatric prosthetic feet. Clinical Biomechanics. 42. 47–54. 7 indexed citations
12.
Taboga, Paolo, et al.. (2017). How do prosthetic stiffness, height and running speed affect the biomechanics of athletes with bilateral transtibial amputations?. Journal of The Royal Society Interface. 14(131). 20170230–20170230. 27 indexed citations
13.
Taboga, Paolo, et al.. (2017). Prosthetic model, but not stiffness or height, affects the metabolic cost of running for athletes with unilateral transtibial amputations. Journal of Applied Physiology. 123(1). 38–48. 27 indexed citations
14.
Beck, Owen N., Paolo Taboga, & Alena M. Grabowski. (2016). Characterizing the Mechanical Properties of Running-Specific Prostheses. PLoS ONE. 11(12). e0168298–e0168298. 51 indexed citations
15.
Giovanelli, Nicola, Paolo Taboga, Enrico Rejc, et al.. (2015). Effects of an Uphill Marathon on Running Mechanics and Lower-Limb Muscle Fatigue. International Journal of Sports Physiology and Performance. 11(4). 522–529. 45 indexed citations
16.
Lazzer, Stefano, Desy Salvadego, Paolo Taboga, et al.. (2014). Effects of the Etna Uphill Ultramarathon on Energy Cost and Mechanics of Running. International Journal of Sports Physiology and Performance. 10(2). 238–247. 34 indexed citations
17.
Taboga, Paolo, et al.. (2013). One leg lateral jumps - a new test for team players evaluation.. PubMed. 53(5). 524–32. 2 indexed citations
18.
Taboga, Paolo, et al.. (2012). [Definition and validation of a comfort index calculation method for office seats].. PubMed. 103(1). 58–67. 2 indexed citations
19.
Taboga, Paolo, et al.. (2012). Energetics and mechanics of running men: the influence of body mass. European Journal of Applied Physiology. 112(12). 4027–4033. 21 indexed citations
20.
Pavan, E., Paolo Taboga, & C. Frigo. (2006). Feasibility of a new – joint constrained – lower limb model for gait analysis application. Gait & Posture. 24. S20–S21. 1 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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