Luca Vismara

2.1k total citations
70 papers, 1.5k citations indexed

About

Luca Vismara is a scholar working on Psychiatry and Mental health, Genetics and Pharmacology. According to data from OpenAlex, Luca Vismara has authored 70 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Psychiatry and Mental health, 17 papers in Genetics and 16 papers in Pharmacology. Recurrent topics in Luca Vismara's work include Genetic Syndromes and Imprinting (17 papers), Musculoskeletal pain and rehabilitation (16 papers) and Balance, Gait, and Falls Prevention (15 papers). Luca Vismara is often cited by papers focused on Genetic Syndromes and Imprinting (17 papers), Musculoskeletal pain and rehabilitation (16 papers) and Balance, Gait, and Falls Prevention (15 papers). Luca Vismara collaborates with scholars based in Italy, United States and Brazil. Luca Vismara's co-authors include Paolo Capodaglio, Manuela Galli, Francesco Menegoni, Verônica Cimolin, Graziano Grugni, Stefano Négrini, Fabio Zaina, Chiara Rigoldi, Giorgio Albertini and Elena Tacchini and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Medicine & Science in Sports & Exercise.

In The Last Decade

Luca Vismara

67 papers receiving 1.5k citations

Peers

Luca Vismara

PTSTR

PMH

GENET

PHARM

Monica Busse United Kingdom

E. J. Metter United States

Rado Pišot Slovenia

Ramona Hicks United States

Lorenzo Priano Italy

Bente Rona Jensen Denmark

Emily J. Fox United States

Irene Aprile Italy

Naoichi Chino Japan

Jacobo Á. Rubio‐Arias Spain

Monica Busse United Kingdom

Luca Vismara

333 ×1.0

PTSTR

693 ×2.1

PMH

38 ×0.1

GENET

184 ×0.7

PHARM

219 ×1.0

Citations per year, relative to Luca Vismara Luca Vismara (= 1×) peers Monica Busse

Countries citing papers authored by Luca Vismara

Since Specialization

Citations

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

Fields of papers citing papers by Luca Vismara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Vismara

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Vismara. A scholar is included among the top collaborators of Luca Vismara 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 Luca Vismara. Luca Vismara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Persiani, Michela, et al.. (2025). Efficacy and safety of musculoskeletal manipulations in elderly population with musculoskeletal disorders: a systematic review. BMJ Open. 15(6). e088655–e088655.

Ferraris, Claudia, Luca Vismara, Gianluca Amprimo, et al.. (2024). Estimation of gait parameters in healthy and hemiplegic individuals using Azure Kinect: a comparative study with the optoelectronic system. Frontiers in Bioengineering and Biotechnology. 12. 1449680–1449680. 4 indexed citations

Ferraris, Claudia, et al.. (2024). Machine-Learning-Based Validation of Microsoft Azure Kinect in Measuring Gait Profiles. Electronics. 13(23). 4739–4739.

Vismara, Luca, et al.. (2024). Reliability and Validity of the Variability Model Testing Procedure for Somatic Dysfunction Assessment: A Comparison with Gait Analysis Parameters in Healthy Subjects. Healthcare. 12(2). 175–175. 5 indexed citations

Belloni, Federico, et al.. (2023). Effectiveness of Osteopathic Manipulative Treatment in Adults with Irritable Bowel Syndrome: A Systematic Review and Meta-Analysis. Healthcare. 11(17). 2442–2442. 5 indexed citations

Farra, Fulvio Dal, et al.. (2022). Osteopathic Treatment for Gastrointestinal Disorders in Term and Preterm Infants: A Systematic Review and Meta-Analysis. Healthcare. 10(8). 1525–1525. 5 indexed citations

Ferraris, Claudia, Gianluca Amprimo, Luca Vismara, et al.. (2022). Evaluation of Arm Swing Features and Asymmetry during Gait in Parkinson’s Disease Using the Azure Kinect Sensor. Sensors. 22(16). 6282–6282. 21 indexed citations

Pau, Massimiliano, Luca Vismara, Micaela Porta, et al.. (2022). Synchronized Cyclograms to Assess Inter-Limb Symmetry during Gait in Post-Stroke Patients. Symmetry. 14(8). 1560–1560. 4 indexed citations

Cimolin, Verônica, Luca Vismara, Claudia Ferraris, et al.. (2022). Computation of Gait Parameters in Post Stroke and Parkinson’s Disease: A Comparative Study Using RGB-D Sensors and Optoelectronic Systems. Sensors. 22(3). 824–824. 33 indexed citations

10.

Farra, Fulvio Dal, et al.. (2021). Fast improvements in functional status after osteopathic manipulative treatment based on myofascial release in patients with moderate or severe fibromyalgia: a retrospective study. Journal of Complementary and Integrative Medicine. 20(4). 779–787. 2 indexed citations

11.

Bigoni, Matteo, Verônica Cimolin, Luca Vismara, et al.. (2021). Relationship between gait profile score and clinical assessments of gait in post-stroke patients. Journal of Rehabilitation Medicine. 53(5). jrm00192–jrm00192. 16 indexed citations

12.

Farra, Fulvio Dal, et al.. (2020). Effectiveness of osteopathic interventions in chronic non-specific low back pain: A systematic review and meta-analysis. Complementary Therapies in Medicine. 56. 102616–102616. 59 indexed citations

13.

Vismara, Luca, et al.. (2020). A new perspective for Somatic Dysfunction in Osteopathy: the Variability Model. Journal of Bodywork and Movement Therapies. 24(3). 181–189. 26 indexed citations

14.

Don, Romildo, Paolo Capodaglio, Verônica Cimolin, et al.. (2012). Instrumental measures of spinal function: is it worth? A state-of-the art from a clinical perspective.. PubMed. 48(2). 255–73. 17 indexed citations

15.

Vismara, Luca, Francesco Menegoni, Fabio Zaina, et al.. (2010). Effect of obesity and low back pain on spinal mobility: a cross sectional study in women. Journal of NeuroEngineering and Rehabilitation. 7(1). 3–3. 92 indexed citations

16.

Malatesta, Davide, Luca Vismara, Francesco Menegoni, et al.. (2009). Mechanical External Work and Recovery at Preferred Walking Speed in Obese Subjects. Medicine & Science in Sports & Exercise. 41(2). 426–434. 67 indexed citations

17.

Brunani, Amelia, Antonio Liuzzi, Alberto Raggi, et al.. (2009). Mapping an obesity clinical evaluation protocol to the International Classification of Functioning, Disability and Health. Disability and Rehabilitation. 32(5). 417–423. 6 indexed citations

18.

Menegoni, Francesco, Luca Vismara, Paolo Capodaglio, Marcello Crivellini, & Manuela Galli. (2008). Kinematics of trunk movements: protocol design and application in obese females.. PubMed. 6(3). 178–85. 23 indexed citations

19.

Montesano, A., et al.. (2002). Controlled study on the efficacy of two different treatments in obese patients affected by chronic low back pain, assessed by an isokinetic device: Analysis of muscle strength and spine mobility. European Journal of Physical and Rehabilitation Medicine. 38(4). 187–193. 7 indexed citations

20.

Montesano, A., et al.. (2002). The analysis of sit-to-stand movement in obese and normal subjects: biomechanical evaluations and postural changes between groups.. European Journal of Physical and Rehabilitation Medicine. 38(3). 131–137. 3 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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