Marco Barbero

3.9k total citations
137 papers, 2.6k citations indexed

About

Marco Barbero is a scholar working on Pharmacology, Biomedical Engineering and Surgery. According to data from OpenAlex, Marco Barbero has authored 137 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Pharmacology, 36 papers in Biomedical Engineering and 30 papers in Surgery. Recurrent topics in Marco Barbero's work include Musculoskeletal pain and rehabilitation (65 papers), Muscle activation and electromyography studies (27 papers) and Myofascial pain diagnosis and treatment (23 papers). Marco Barbero is often cited by papers focused on Musculoskeletal pain and rehabilitation (65 papers), Muscle activation and electromyography studies (27 papers) and Myofascial pain diagnosis and treatment (23 papers). Marco Barbero collaborates with scholars based in Switzerland, United Kingdom and Italy. Marco Barbero's co-authors include Alberto Rainoldi, Roberto Merletti, Deborah Falla, Corrado Cescon, Ron Clijsen, Alessandro Schneebeli, Roberto Gatti, César Fernández‐de‐las‐Peñas, Matteo Beretta-Piccoli and Emiliano Soldini and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Marco Barbero

130 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Barbero Switzerland 28 1.0k 705 522 492 491 137 2.6k
Mats Djupsjöbacka Sweden 29 1.3k 1.3× 475 0.7× 378 0.7× 446 0.9× 468 1.0× 59 2.3k
Laura Frey‐Law United States 32 1.1k 1.1× 753 1.1× 161 0.3× 494 1.0× 510 1.0× 107 3.0k
Kylie Tucker Australia 30 1.1k 1.1× 1.7k 2.3× 279 0.5× 1.3k 2.7× 659 1.3× 118 3.5k
Calogero Foti Italy 37 997 1.0× 408 0.6× 309 0.6× 708 1.4× 869 1.8× 164 3.4k
Jerome Danoff United States 23 568 0.6× 468 0.7× 1.1k 2.2× 453 0.9× 760 1.5× 54 2.9k
Markku Kankaanpää Finland 28 2.3k 2.3× 889 1.3× 500 1.0× 757 1.5× 796 1.6× 82 3.6k
Martin Descarreaux Canada 33 2.5k 2.5× 598 0.8× 679 1.3× 708 1.4× 1.0k 2.1× 206 3.9k
Marco Monticone Italy 33 1.4k 1.4× 407 0.6× 245 0.5× 231 0.5× 970 2.0× 135 3.1k
Michel W. Coppieters Australia 37 1.8k 1.8× 365 0.5× 595 1.1× 785 1.6× 1.8k 3.8× 170 4.3k
Mahyar Salavati Iran 32 875 0.9× 790 1.1× 243 0.5× 1.4k 2.8× 811 1.7× 156 3.1k

Countries citing papers authored by Marco Barbero

Since Specialization
Citations

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

Fields of papers citing papers by Marco Barbero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Barbero

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Barbero. A scholar is included among the top collaborators of Marco Barbero 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 Marco Barbero. Marco Barbero 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.
Cescon, Corrado, et al.. (2024). Automated Pain Spots Recognition Algorithm Provided by a Web Service–Based Platform: Instrument Validation Study. JMIR mhealth and uhealth. 12. e53119–e53119. 2 indexed citations
2.
Sanderson, Andy, Corrado Cescon, Eduardo Martinez‐Valdes, et al.. (2024). Reduced variability of erector spinae activity in people with chronic low back pain when performing a functional 3D lifting task. Journal of Electromyography and Kinesiology. 78. 102917–102917. 4 indexed citations
3.
4.
Schmid, Annina B., Louise Hailey, Mohamed Tachrount, et al.. (2023). Factors predicting the transition from acute to persistent pain in people with ‘sciatica’: the FORECAST longitudinal prognostic factor cohort study protocol. BMJ Open. 13(4). e072832–e072832. 2 indexed citations
5.
Evans, David, Alison Rushton, Jonathan Bishop, et al.. (2022). Estimating Risk of Chronic Pain and Disability Following Musculoskeletal Trauma in the United Kingdom. JAMA Network Open. 5(8). e2228870–e2228870. 9 indexed citations
6.
Schneebeli, Alessandro, Ilaria Fiorina, Chandra Bortolotto, et al.. (2021). Shear wave and strain sonoelastography for the evaluation of the Achilles tendon during isometric contractions. Insights into Imaging. 12(1). 26–26. 6 indexed citations
7.
Pitance, Laurent, et al.. (2021). Digital pain drawings are a useful and reliable tool for assessing patients with temporomandibular disorders. Journal of Oral Rehabilitation. 48(7). 798–808. 13 indexed citations
8.
Rösner, Jan, Michael Villiger, Ron Clijsen, et al.. (2021). Assessment of neuropathic pain after spinal cord injury using quantitative pain drawings. Spinal Cord. 59(5). 529–537. 22 indexed citations
9.
Cescon, Corrado, et al.. (2021). A single session with a roller massager improves hamstring flexibility in healthy athletes: a randomized placebo-controlled crossover study. Sport Sciences for Health. 17(3). 717–724. 4 indexed citations
10.
Koetsier, Eva, Sander M. J. van Kuijk, Giorgia Melli, et al.. (2020). Dorsal Root Ganglion Stimulation for the Management of Intractable Painful Polyneuropathy: A Prospective Pilot Study. Neuromodulation Technology at the Neural Interface. 24(4). 685–694. 7 indexed citations
11.
Clijsen, Ron, Alessandro Schneebeli, Corrado Cescon, et al.. (2019). Does the Application of Tecar Therapy Affect Temperature and Perfusion of Skin and Muscle Microcirculation? A Pilot Feasibility Study on Healthy Subjects. The Journal of Alternative and Complementary Medicine. 26(2). 147–153. 50 indexed citations
12.
13.
Clijsen, Ron, et al.. (2017). Effects of low-level laser therapy on pain in patients with musculoskeletal disorders: a systematic review and meta-analysis. European Journal of Physical and Rehabilitation Medicine. 53(4). 603–610. 89 indexed citations
14.
15.
Maffiuletti, Nicola A., Marco Barbero, Corrado Cescon, et al.. (2016). Validity of the twitch interpolation technique for the assessment of quadriceps neuromuscular asymmetries. Journal of Electromyography and Kinesiology. 28. 31–36. 9 indexed citations
16.
Beretta-Piccoli, Matteo, et al.. (2016). Inter-Gender sEMG Evaluation of Central and Peripheral Fatigue in Biceps Brachii of Young Healthy Subjects. PLoS ONE. 11(12). e0168443–e0168443. 14 indexed citations
17.
Barbero, Marco, Corrado Cescon, Andrea Tettamanti, et al.. (2013). Myofascial trigger points and innervation zone locations in upper trapezius muscles. BMC Musculoskeletal Disorders. 14(1). 179–179. 42 indexed citations
18.
Barbero, Marco, Roberto Merletti, & Alberto Rainoldi. (2012). Atlas of Muscle Innervation Zones. Springer eBooks. 42 indexed citations
19.
Barbero, Marco, et al.. (2011). Lumbar Synovial Cyst. Journal of Orthopaedic and Sports Physical Therapy. 41(7). 533–533. 1 indexed citations
20.
Testa, Marco, Marco Barbero, & Enrico Gherlone. (2003). Trigger points. Update of the clinical aspects. European Journal of Physical and Rehabilitation Medicine. 39(1). 37–43. 8 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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