G. Felicetti

642 total citations
30 papers, 461 citations indexed

About

G. Felicetti is a scholar working on Surgery, Biomedical Engineering and Orthopedics and Sports Medicine. According to data from OpenAlex, G. Felicetti has authored 30 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Biomedical Engineering and 4 papers in Orthopedics and Sports Medicine. Recurrent topics in G. Felicetti's work include Muscle activation and electromyography studies (4 papers), Total Knee Arthroplasty Outcomes (3 papers) and Cerebral Palsy and Movement Disorders (3 papers). G. Felicetti is often cited by papers focused on Muscle activation and electromyography studies (4 papers), Total Knee Arthroplasty Outcomes (3 papers) and Cerebral Palsy and Movement Disorders (3 papers). G. Felicetti collaborates with scholars based in Italy, France and Czechia. G. Felicetti's co-authors include C. Fracchia, M. Maini, Ercole Zanotti, Roberto Maestri, Nicolino Ambrosino, Paolo Frassanito, Claudio Bruschi, C Rampulla, Stefano Nava and Manh‐Cuong Do and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and CHEST Journal.

In The Last Decade

G. Felicetti

27 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Felicetti Italy 9 186 116 108 60 56 30 461
Anouk Agten Belgium 14 299 1.6× 185 1.6× 82 0.8× 34 0.6× 34 0.6× 36 654
S Wragg United Kingdom 11 489 2.6× 82 0.7× 132 1.2× 48 0.8× 75 1.3× 11 686
M Green United Kingdom 15 543 2.9× 104 0.9× 150 1.4× 75 1.3× 59 1.1× 21 752
Justin Skowno Australia 12 54 0.3× 81 0.7× 142 1.3× 40 0.7× 67 1.2× 28 461
M. Green United Kingdom 9 219 1.2× 55 0.5× 58 0.5× 33 0.6× 46 0.8× 13 377
Takeshi Nakamura Japan 13 75 0.4× 31 0.3× 132 1.2× 55 0.9× 50 0.9× 61 523
D Gross Israel 11 680 3.7× 75 0.6× 89 0.8× 52 0.9× 115 2.1× 20 971
Nobutada Morioka Japan 11 139 0.7× 302 2.6× 135 1.3× 65 1.1× 24 0.4× 20 522
C. E. Wade United States 8 92 0.5× 152 1.3× 64 0.6× 108 1.8× 8 0.1× 16 497
Gianni Misuri Italy 17 515 2.8× 36 0.3× 129 1.2× 39 0.7× 55 1.0× 27 823

Countries citing papers authored by G. Felicetti

Since Specialization
Citations

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

Fields of papers citing papers by G. Felicetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Felicetti

This figure shows the co-authorship network connecting the top 25 collaborators of G. Felicetti. A scholar is included among the top collaborators of G. Felicetti 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 G. Felicetti. G. Felicetti 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.
Frassanito, Paolo, et al.. (2025). Rehabilitation in systemic sclerosis: proposed personalised rehabilitation programme. PubMed. 40(4). 248–256.
2.
Zanatta, Francesco, Patrizia Steca, Cira Fundarò, et al.. (2023). Biopsychosocial effects and experience of use of robotic and virtual reality devices in neuromotor rehabilitation: A study protocol. PLoS ONE. 18(3). e0282925–e0282925. 4 indexed citations
3.
Felicetti, G., P. Thoumie, Manh‐Cuong Do, & Marco Schieppati. (2021). Cutaneous and muscular afferents from the foot and sensory fusion processing: Physiology and pathology in neuropathies. Journal of the Peripheral Nervous System. 26(1). 17–34. 21 indexed citations
4.
Zanatta, Francesco, G. Felicetti, Piotr Karniej, et al.. (2020). Psychosocial Predictors of Self-Efficacy Related to Self-Reported Adherence in Older Chronic Patients Dealing with Hypertension: A European Study. SHILAP Revista de lepidopterología. 2 indexed citations
5.
Zanatta, Francesco, Natalia Świątoniowska-Lonc, Antonia Pierobon, et al.. (2020). <p>Psychosocial Predictors of Self-Efficacy Related to Self-Reported Adherence in Older Chronic Patients Dealing with Hypertension: A European Study</p>. Patient Preference and Adherence. Volume 14. 1709–1718. 10 indexed citations
6.
Frassanito, Paolo, et al.. (2018). Effectiveness of Extracorporeal Shock Wave Therapy and kinesio taping in calcific tendinopathy of the shoulder: a randomized controlled trial. European Journal of Physical and Rehabilitation Medicine. 54(3). 333–340. 36 indexed citations
7.
Frazzitta, Giuseppe, Gabriella Bertotti, Micaela Morelli, et al.. (2012). Rehabilitation improves dyskinesias in Parkinsonian patients: A pilot study comparing two different rehabilitative treatments. Neurorehabilitation. 30(4). 295–301. 17 indexed citations
8.
Felicetti, G., et al.. (2005). [Assessment of function recovery in patients with total knee prosthesis].. PubMed. 26(2). 156–61. 5 indexed citations
9.
Zanotti, Ercole, G. Felicetti, M. Maini, & C. Fracchia. (2003). Peripheral Muscle Strength Training in Bed-Bound Patients With COPD Receiving Mechanical Ventilation. CHEST Journal. 124(1). 292–296. 214 indexed citations
10.
Nava, Stefano, et al.. (2002). Weakness of respiratory and skeletal muscles after a short course of steroids in patients with acute lung rejection. European Respiratory Journal. 20(2). 497–499. 32 indexed citations
11.
Felicetti, G., et al.. (2001). [Isokinetic assessment and mid-term work reincorporation of patients surgically treated with the shoulder Latarjet technique].. PubMed. 22(4). 324–7. 7 indexed citations
12.
Giardini, Mario, et al.. (1998). <title>Preliminary study of muscle contraction assessment by NIR spectroscopy</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3199. 61–67. 6 indexed citations
13.
Ambrosino, Nicolino, et al.. (1996). Time course of exercise capacity, skeletal and respiratory muscle performance after heart-lung transplantation. European Respiratory Journal. 9(7). 1508–1514. 53 indexed citations
14.
Felicetti, G., et al.. (1996). Motor rehabilitation: evolution of functional markers in trained hemiparetic patients and effectiveness of synchronous techniques.. PubMed. 10(4-5). 203–7. 2 indexed citations
15.
Felicetti, G., et al.. (1996). [Chronic chondromalacia of the patella: comparison of morphological (magnetic resonance) and functional findings (isokinetic parameters) after rehabilitation].. PubMed. 92(1-2). 6–9. 1 indexed citations
16.
Felicetti, G., et al.. (1995). [Medium- and long-term effects of various treatment schedules with nasal S-calcitonin spray].. PubMed. 86(3). 121–7. 4 indexed citations
17.
Felicetti, G., et al.. (1994). Endurance Tests During Isokinetic Contraction: Reliability of Functional Parameters. Isokinetics and Exercise Science. 4(2). 76–80. 5 indexed citations
18.
Opasich, Cristina, Nicolino Ambrosino, G. Felicetti, et al.. (1993). [Skeletal and respiratory muscle strength in chronic heart failure].. PubMed. 23(8). 759–66. 4 indexed citations
19.
Felicetti, G., et al.. (1988). Long and mid-term assessment of the evolution of muscular strength and power, after meniscectomy.. PubMed. 28(4). 381–6. 3 indexed citations
20.
Felicetti, G., et al.. (1987). Low-frequency muscular electrogymnastics; biologic action on parameters of muscle function. 20(4). 241–249. 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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