Diego Minciacchi

1.9k total citations
77 papers, 1.5k citations indexed

About

Diego Minciacchi is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Diego Minciacchi has authored 77 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 24 papers in Cellular and Molecular Neuroscience and 12 papers in Molecular Biology. Recurrent topics in Diego Minciacchi's work include Neuroscience and Neuropharmacology Research (16 papers), Neural dynamics and brain function (12 papers) and Motor Control and Adaptation (10 papers). Diego Minciacchi is often cited by papers focused on Neuroscience and Neuropharmacology Research (16 papers), Neural dynamics and brain function (12 papers) and Motor Control and Adaptation (10 papers). Diego Minciacchi collaborates with scholars based in Italy, United States and China. Diego Minciacchi's co-authors include Marina Bentivoglio, G Macchi, Marco Molinari, Alberto Granato, Riccardo Bravi, Alberto Albanese, Alessandro Sbriccoli, Antonella Antonini, Donatella Carretta and Francesco Pinto and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Diego Minciacchi

74 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego Minciacchi Italy 24 652 638 307 206 181 77 1.5k
Maria Spolidoro Italy 14 606 0.9× 772 1.2× 430 1.4× 184 0.9× 159 0.9× 17 1.6k
K. Jürgen Germany 15 550 0.8× 471 0.7× 181 0.6× 416 2.0× 160 0.9× 26 1.5k
Vincenzo Perciavalle Italy 24 519 0.8× 418 0.7× 331 1.1× 146 0.7× 206 1.1× 120 2.0k
Mary F. Kritzer United States 29 570 0.9× 930 1.5× 478 1.6× 111 0.5× 155 0.9× 55 2.5k
Rodrigue Galani France 22 769 1.2× 708 1.1× 191 0.6× 113 0.5× 123 0.7× 29 1.5k
Claudia L. R. Gonzalez Canada 25 1.2k 1.9× 483 0.8× 283 0.9× 162 0.8× 88 0.5× 86 2.3k
Bo Jespersen Denmark 16 635 1.0× 667 1.0× 258 0.8× 272 1.3× 120 0.7× 34 1.7k
Adriana A. Alcantara United States 14 596 0.9× 838 1.3× 434 1.4× 164 0.8× 231 1.3× 16 2.0k
Veronique VanderHorst United States 26 396 0.6× 476 0.7× 156 0.5× 241 1.2× 340 1.9× 57 2.1k
Andrew J. D. Nelson United Kingdom 24 1.3k 2.0× 1.1k 1.7× 280 0.9× 100 0.5× 205 1.1× 55 2.1k

Countries citing papers authored by Diego Minciacchi

Since Specialization
Citations

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

Fields of papers citing papers by Diego Minciacchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Minciacchi

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Minciacchi. A scholar is included among the top collaborators of Diego Minciacchi 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 Diego Minciacchi. Diego Minciacchi 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.
Bravi, Riccardo, et al.. (2025). Single-Bout Strength: Acute Mental Health Responses to Resistance Training in Active Adults. Sports. 13(7). 221–221. 1 indexed citations
2.
3.
Mucchi, Lorenzo, et al.. (2025). DeepLabCut custom-trained model and the refinement function for gait analysis. Scientific Reports. 15(1). 2364–2364. 4 indexed citations
4.
Amore, Mario, et al.. (2024). Impact of Sled-Integrated Resisted Sprint Training on Sprint and Vertical Jump Performance in Young U-14 Male Football Players. Journal of Functional Morphology and Kinesiology. 9(4). 256–256. 2 indexed citations
5.
Bravi, Riccardo, et al.. (2022). Effect of different sport environments on proactive and reactive motor inhibition: A study on open- and closed-skilled athletes via mouse-tracking procedure. Frontiers in Psychology. 13. 1042705–1042705. 11 indexed citations
6.
Bravi, Riccardo, et al.. (2021). Circle drawing and tracing dataset for evaluation of fine motor control. SHILAP Revista de lepidopterología. 35. 106763–106763. 2 indexed citations
7.
Bravi, Riccardo, Christos I. Ioannou, Diego Minciacchi, & Eckart Altenmüller. (2019). Assessment of the effects of Kinesiotaping on musical motor performance in musicians suffering from focal hand dystonia: a pilot study. Clinical Rehabilitation. 33(10). 1636–1648. 12 indexed citations
8.
Bravi, Riccardo, et al.. (2018). Precision in drawing and tracing tasks: Different measures for different aspects of fine motor control. Human Movement Science. 61. 177–188. 13 indexed citations
9.
10.
Bravi, Riccardo, et al.. (2017). Neural plasticity and network remodeling: From concepts to pathology. Neuroscience. 344. 326–345. 36 indexed citations
11.
Fulgenzi, Gianluca, et al.. (2014). Acetylcholine, GABA and neuronal networks: A working hypothesis for compensations in the dystrophic brain. Brain Research Bulletin. 110. 1–13. 18 indexed citations
12.
Bravi, Riccardo, et al.. (2014). Modulation of isochronous movements in a flexible environment: links between motion and auditory experience. Experimental Brain Research. 232(6). 1663–1675. 8 indexed citations
13.
Minciacchi, Diego, et al.. (2008). Voronoi-based spatial analysis reveals selective interneuron changes in the cortex of FALS mice. Experimental Neurology. 215(1). 77–86. 24 indexed citations
14.
Carretta, Donatella, et al.. (2004). Spatial analysis reveals alterations of parvalbumin- and calbindin-positive local circuit neurons in the cerebral cortex of mutant mdx mice. Brain Research. 1016(1). 1–11. 28 indexed citations
15.
Minciacchi, Diego. (2003). Part II: Brain Sciences versus Music. Annals of the New York Academy of Sciences. 999(1). 215–217. 1 indexed citations
16.
Carretta, Donatella, et al.. (2001). The organisation of spinal projecting brainstem neurons in an animal model of muscular dystrophy. Brain Research. 895(1-2). 213–222. 26 indexed citations
17.
Minciacchi, Diego, Alberto Granato, & Paolo Barbaresi. (1991). Organization of claustro-cortical projections to the primary somatosensory area of primates. Brain Research. 553(2). 309–312. 26 indexed citations
18.
Minciacchi, Diego, Alberto Granato, Antonella Antonini, Alessandro Sbriccoli, & G Macchi. (1991). A procedure for the simultaneous visualization of two anterograde and different retrograde fluorescent tracers. Journal of Neuroscience Methods. 38(2-3). 183–191. 11 indexed citations
19.
Pallini, Roberto, Eduardo Fernández, Diego Minciacchi, Enrico Marchese, & Alessandro Sbriccoli. (1988). Peripheral Nerve Autografts to the Rat Spinal Cord: a Study of the Origin of Regenerating Fibres Using Fluorescent Double Labelling. PubMed. 43. 210–213. 6 indexed citations
20.
Fernández, Eduardo, Roberto Pallini, Diego Minciacchi, & Alessandro Sbriccoli. (1986). Peripheral nerve autografts to the rat spinal cord: Study on the origin and course of regenerating fibres. Acta Neurochirurgica. 82(1-2). 57–63. 10 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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