Michela Bruschini

410 total citations
12 papers, 291 citations indexed

About

Michela Bruschini is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michela Bruschini has authored 12 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 5 papers in Psychiatry and Mental health and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michela Bruschini's work include Functional Brain Connectivity Studies (6 papers), Dementia and Cognitive Impairment Research (4 papers) and Genetic Neurodegenerative Diseases (4 papers). Michela Bruschini is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Dementia and Cognitive Impairment Research (4 papers) and Genetic Neurodegenerative Diseases (4 papers). Michela Bruschini collaborates with scholars based in Italy, United Kingdom and Belgium. Michela Bruschini's co-authors include Silvia Morlino, Marco Castori, Carlo Blundo, Giulia Ghibellini, Claudia Celletti, Filippo Camerota, Paola Grammatico, Marco Bozzali, Laura Serra and Carlo Caltagirone and has published in prestigious journals such as PLoS ONE, Current Biology and Neurobiology of Aging.

In The Last Decade

Michela Bruschini

12 papers receiving 286 citations

Peers

Michela Bruschini
Della Koovakkattu United States
Zan Wei Yang United States
Heejong Sung United States
Caroline A. Montojo United States
Maja Steinlin Switzerland
Devorah Segal United States
Rony Cohen Israel
Michela Bruschini
Citations per year, relative to Michela Bruschini Michela Bruschini (= 1×) peers Makoto Tomita

Countries citing papers authored by Michela Bruschini

Since Specialization
Citations

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

Fields of papers citing papers by Michela Bruschini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michela Bruschini

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

All Works

12 of 12 papers shown
1.
Serra, Laura, Michela Bruschini, Carlotta Di Domenico, et al.. (2020). Behavioral psychological symptoms of dementia and functional connectivity changes: a network-based study. Neurobiology of Aging. 94. 196–206. 15 indexed citations
2.
Serra, Laura, Michela Bruschini, Giovanni Giulietti, et al.. (2020). Abnormal Cortical Thickness Is Associated With Deficits in Social Cognition in Patients With Myotonic Dystrophy Type 1. Frontiers in Neurology. 11. 113–113. 20 indexed citations
3.
Serra, Laura, G. Meola, Marcello D’Amelio, et al.. (2020). Ventral tegmental area dysfunction affects decision-making in patients with myotonic dystrophy type-1. Cortex. 128. 192–202. 9 indexed citations
4.
Serra, Laura, Michela Bruschini, Cristina Ottaviani, et al.. (2019). Thalamocortical disconnection affects the somatic marker and social cognition: a case report. Neurocase. 25(1-2). 1–9. 4 indexed citations
5.
Serra, Laura, Laura Petrosini, Michela Bruschini, et al.. (2019). Testing for the Myth of Cognitive Reserve: Are the Static and Dynamic Cognitive Reserve Indexes a Representation of Different Reserve Warehouses?. Journal of Alzheimer s Disease. 72(1). 111–126. 8 indexed citations
6.
Serra, Laura, Marco Bozzali, Lucia Fadda, et al.. (2018). The role of hippocampus in the retrieval of autobiographical memories in patients with amnestic Mild Cognitive Impairment due to Alzheimer's disease. Journal of Neuropsychology. 14(1). 46–68. 18 indexed citations
7.
Serra, Laura, Michela Bruschini, Carlotta Di Domenico, et al.. (2017). Memory is Not Enough: The Neurobiological Substrates of Dynamic Cognitive Reserve. Journal of Alzheimer s Disease. 58(1). 171–184. 21 indexed citations
8.
Serra, Laura, Mara Cercignani, Michela Bruschini, et al.. (2016). “I Know that You Know that I Know”: Neural Substrates Associated with Social Cognition Deficits in DM1 Patients. PLoS ONE. 11(6). e0156901–e0156901. 38 indexed citations
9.
Castori, Marco, Silvia Morlino, Claudia Celletti, et al.. (2013). Re‐writing the natural history of pain and related symptoms in the joint hypermobility syndrome/Ehlers–Danlos syndrome, hypermobility type. American Journal of Medical Genetics Part A. 161(12). 2989–3004. 121 indexed citations
11.
Doricchi, Fabrizio, Sheila Merola, Marilena Aiello, et al.. (2009). Spatial Orienting Biases in the Decimal Numeral System. Current Biology. 19(8). 682–687. 32 indexed citations
12.
Doricchi, Fabrizio, Sheila Merola, Marilena Aiello, et al.. (2009). Report Spatial Orienting Biases in the Decimal Numeral System. 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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