Claudio Macchi

7.8k total citations · 4 hit papers
172 papers, 5.4k citations indexed

About

Claudio Macchi is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Claudio Macchi has authored 172 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Epidemiology, 36 papers in Cardiology and Cardiovascular Medicine and 32 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Claudio Macchi's work include Cerebrovascular and Carotid Artery Diseases (22 papers), Stroke Rehabilitation and Recovery (20 papers) and Traumatic Brain Injury Research (17 papers). Claudio Macchi is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (22 papers), Stroke Rehabilitation and Recovery (20 papers) and Traumatic Brain Injury Research (17 papers). Claudio Macchi collaborates with scholars based in Italy, Netherlands and United States. Claudio Macchi's co-authors include Francesco Sofi, Gian Franco Gensini, Alessandro Casini, Rosanna Abbate, Stefania Bandinelli, Luigi Ferrucci, Debora Valecchi, Duccio Bacci, Francesca Cecchi and Jack M. Guralnik and has published in prestigious journals such as PLoS ONE, Scientific Reports and Spine.

In The Last Decade

Claudio Macchi

166 papers receiving 5.2k citations

Hit Papers

Physical activity and risk of cognitive decline: a me... 2000 2026 2008 2017 2010 2013 2000 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio Macchi Italy 31 1.5k 1.3k 756 609 589 172 5.4k
Donna Kritz‐Silverstein United States 49 1.4k 0.9× 1.1k 0.9× 756 1.0× 515 0.8× 496 0.8× 159 7.6k
Donald M. Lyall United Kingdom 39 1.6k 1.0× 974 0.7× 579 0.8× 520 0.9× 738 1.3× 118 4.9k
Hiroshi Shimokata Japan 46 2.7k 1.8× 1.4k 1.1× 900 1.2× 805 1.3× 561 1.0× 314 8.3k
Isabelle Carrière France 43 1.2k 0.8× 554 0.4× 1.0k 1.3× 528 0.9× 511 0.9× 135 5.6k
Molly B. Conroy United States 32 1.8k 1.2× 1.2k 0.9× 317 0.4× 556 0.9× 549 0.9× 122 4.9k
Catherine Blake Ireland 43 822 0.5× 859 0.7× 1.3k 1.7× 571 0.9× 604 1.0× 226 6.1k
Weili Xu Sweden 45 2.2k 1.4× 1.3k 1.0× 1.8k 2.4× 721 1.2× 666 1.1× 203 6.7k
George A. Kelley United States 49 2.5k 1.7× 1.6k 1.3× 532 0.7× 556 0.9× 2.3k 3.9× 190 8.5k
Jean‐François Dartigues France 43 1.4k 0.9× 682 0.5× 1.3k 1.8× 371 0.6× 810 1.4× 78 5.1k
Jane B. Shofer United States 38 1.1k 0.7× 647 0.5× 511 0.7× 859 1.4× 624 1.1× 93 5.5k

Countries citing papers authored by Claudio Macchi

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Macchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Macchi

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Macchi. A scholar is included among the top collaborators of Claudio Macchi 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 Claudio Macchi. Claudio Macchi 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.
Hakiki, Bahia, Piergiuseppe Liuzzi, Anna Maria Romoli, et al.. (2025). Predictors of Recovering Full Consciousness: Results From a Prospective Multisite Italian Study. European Journal of Neurology. 32(4). e70138–e70138. 1 indexed citations
2.
Campagnini, Silvia, Andrea Mannini, Marco Baccini, et al.. (2024). Multiple imputation integrated to machine learning: predicting post-stroke recovery of ambulation after intensive inpatient rehabilitation. Scientific Reports. 14(1). 25188–25188. 5 indexed citations
3.
Giovacchini, Francesco, Thráinn Fridriksson, Ásgeir Alexandersson, et al.. (2024). Enhancing Walking Performance With a Bilateral Hip Exoskeleton Assistance in Individuals With Above-Knee Amputation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 2553–2563. 1 indexed citations
4.
Baldoni, Andrea, Claudio Macchi, Angelo Davalli, et al.. (2024). An Underactuated Active Transfemoral Prosthesis With Series Elastic Actuators Enables Multiple Locomotion Tasks. IEEE Transactions on Robotics. 40. 3306–3321. 2 indexed citations
5.
Liuzzi, Piergiuseppe, Antonello Grippo, Chiara Castagnoli, et al.. (2024). Quantitative EEG and prognosis for recovery in post-stroke patients: The effect of lesion laterality. Neurophysiologie Clinique. 54(3). 102952–102952.
6.
Polito, Cristina, Leonardo Pellicciari, Silvia Campagnini, et al.. (2024). MoCA Domain-Specific Pattern of Cognitive Impairment in Stroke Patients Attending Intensive Inpatient Rehabilitation: A Prospective Study. Behavioral Sciences. 14(1). 42–42. 1 indexed citations
7.
Grippo, Antonello, Silvia Campagnini, Bahia Hakiki, et al.. (2024). Stroke-related epilepsy in the rehabilitation setting: Insights from the inpatient post-stroke rehabilitation study – RIPS. Epilepsy & Behavior Reports. 28. 100713–100713. 1 indexed citations
8.
Gheri, Chiara Francesca, Luca Scalfi, Barbara Biffi, et al.. (2023). Relationship between Nutritional Risk, Clinical and Demographic Characteristics, and Pressure Ulcers in Patients with Severe Acquired Brain Injuries Attending a Rehabilitative Program. Nutrients. 15(15). 3336–3336. 3 indexed citations
9.
Liuzzi, Piergiuseppe, Antonello Grippo, Bahia Hakiki, et al.. (2023). Can Respiration Complexity Help the Diagnosis of Disorders of Consciousness in Rehabilitation?. Diagnostics. 13(3). 507–507. 1 indexed citations
10.
Liuzzi, Piergiuseppe, Silvia Campagnini, Bahia Hakiki, et al.. (2023). Heart rate variability for the evaluation of patients with disorders of consciousness. Clinical Neurophysiology. 150. 31–39. 10 indexed citations
11.
Pancani, Silvia, Leonardo Pellicciari, Emilia Salvadori, et al.. (2022). Extra-Linguistic Cognitive Functions Involved in the Token Test: Results from a Cohort of Non-Aphasic Stroke Patients with Right Hemisphere Lesion. Behavioral Sciences. 12(12). 494–494. 3 indexed citations
12.
Liuzzi, Piergiuseppe, Antonello Grippo, Silvia Campagnini, et al.. (2022). Merging Clinical and EEG Biomarkers in an Elastic-Net Regression for Disorder of Consciousness Prognosis Prediction. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 1504–1513. 24 indexed citations
13.
Liuzzi, Piergiuseppe, Maenia Scarpino, Claudio Macchi, et al.. (2022). EEG asymmetry detection in patients with severe acquired brain injuries via machine learning methods. Biomedical Signal Processing and Control. 79. 104260–104260. 6 indexed citations
14.
Lombardi, Gemma, Roberto Paganelli, Michele Abate, et al.. (2021). Leukocyte-derived ratios are associated with late-life any type dementia: a cross-sectional analysis of the Mugello study. GeroScience. 43(6). 2785–2793. 16 indexed citations
15.
Mannini, Andrea, Bahia Hakiki, Piergiuseppe Liuzzi, et al.. (2021). Data-driven prediction of decannulation probability and timing in patients with severe acquired brain injury. Computer Methods and Programs in Biomedicine. 209. 106345–106345. 17 indexed citations
16.
Tenori, Leonardo, Gaia Meoni, Rossella Marcucci, et al.. (2021). Lipid and metabolite correlation networks specific to clinical and biochemical covariate show differences associated with sexual dimorphism in a cohort of nonagenarians. GeroScience. 44(2). 1109–1128. 2 indexed citations
17.
Pancani, Silvia, et al.. (2020). Relationship between Lower Limb Kinematics and Upper Trunk Acceleration in Recreational Runners. Journal of Healthcare Engineering. 2020. 1–7. 14 indexed citations
18.
Iorio, Angelo Di, Roberto Paganelli, Michele Abate, et al.. (2020). Thyroid hormone signaling is associated with physical performance, muscle mass, and strength in a cohort of oldest-old: results from the Mugello study. GeroScience. 43(2). 1053–1064. 13 indexed citations
19.
Hakiki, Bahia, Maenia Scarpino, Emilio Portaccio, et al.. (2020). Critical illness polyneuromyopathy: Functional impact after severe acquired brain injuries. Acta Neurologica Scandinavica. 142(6). 574–584. 8 indexed citations
20.
Pasquini, Guido, Francesca Cecchi, Raffaello Molino-Lova, et al.. (2016). The outcome of a modified version of the Cheneau brace in adolescent idiopathic scoliosis (AIS) based on SRS and SOSORT criteria: a retrospective study.. PubMed. 52(5). 618–629. 14 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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