Barbara Calabrese

2.3k total citations
50 papers, 1.4k citations indexed

About

Barbara Calabrese is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Barbara Calabrese has authored 50 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 15 papers in Molecular Biology and 9 papers in Cognitive Neuroscience. Recurrent topics in Barbara Calabrese's work include Neuroscience and Neuropharmacology Research (8 papers), EEG and Brain-Computer Interfaces (8 papers) and Ion channel regulation and function (5 papers). Barbara Calabrese is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), EEG and Brain-Computer Interfaces (8 papers) and Ion channel regulation and function (5 papers). Barbara Calabrese collaborates with scholars based in Italy, United States and Belgium. Barbara Calabrese's co-authors include Shelley Halpain, Mario Cannataro, Margaret S. Wilson, Iustin V. Tabarean, Arrigo Palumbo, Chiara Zucco, Pietro Hiram Guzzi, Giuseppe Agapito, Peter F. Juranka and Catherine E. Morris and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Barbara Calabrese

49 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barbara Calabrese Italy 17 576 456 236 229 147 50 1.4k
Ji‐Hyun Kim South Korea 25 388 0.7× 312 0.7× 242 1.0× 67 0.3× 48 0.3× 77 3.1k
Ming‐Chang Chiang Taiwan 33 666 1.2× 1.2k 2.5× 326 1.4× 630 2.8× 126 0.9× 102 3.0k
Shengwen Zhang United States 17 725 1.3× 676 1.5× 409 1.7× 420 1.8× 64 0.4× 24 2.1k
László Négyessy Hungary 19 548 1.0× 517 1.1× 455 1.9× 113 0.5× 137 0.9× 46 1.4k
Péter Breuer Germany 26 1.1k 1.8× 1.4k 3.0× 330 1.4× 185 0.8× 304 2.1× 98 3.5k
Michelle Cook United States 22 378 0.7× 328 0.7× 339 1.4× 213 0.9× 26 0.2× 57 2.1k
Padraig Gleeson United Kingdom 17 608 1.1× 527 1.2× 792 3.4× 133 0.6× 41 0.3× 45 1.7k
Shreejoy J. Tripathy Canada 20 537 0.9× 578 1.3× 467 2.0× 125 0.5× 32 0.2× 58 1.6k
Sunil Gandhi United States 22 826 1.4× 740 1.6× 1.1k 4.5× 93 0.4× 292 2.0× 51 2.3k
Andreas Scholz Germany 23 578 1.0× 669 1.5× 98 0.4× 446 1.9× 27 0.2× 63 1.8k

Countries citing papers authored by Barbara Calabrese

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Calabrese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Calabrese

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Calabrese. A scholar is included among the top collaborators of Barbara Calabrese 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 Barbara Calabrese. Barbara Calabrese 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.
Zucco, Chiara, et al.. (2023). Development and Validation of Machine-Learning Models to Support Clinical Diagnosis for Non-Epileptic Psychogenic Seizures. Applied Sciences. 13(12). 6924–6924. 1 indexed citations
2.
Calabrese, Barbara & Shelley Halpain. (2023). MARCKS and PI(4,5)P2 reciprocally regulate actin-based dendritic spine morphology. Molecular Biology of the Cell. 35(2). ar23–ar23. 2 indexed citations
3.
Calabrese, Barbara, Steven L Jones, Yoko Shiraishi‐Yamaguchi, et al.. (2022). INF2-mediated actin filament reorganization confers intrinsic resilience to neuronal ischemic injury. Nature Communications. 13(1). 6037–6037. 18 indexed citations
4.
Palumbo, Arrigo, et al.. (2021). Biopotential Signal Monitoring Systems in Rehabilitation: A Review. Sensors. 21(21). 7172–7172. 53 indexed citations
5.
Palumbo, Arrigo, et al.. (2021). SIMpLE: A Mobile Cloud-Based System for Health Monitoring of People with ALS. Sensors. 21(21). 7239–7239. 5 indexed citations
6.
7.
Zucco, Chiara, Barbara Calabrese, Giuseppe Agapito, Pietro Hiram Guzzi, & Mario Cannataro. (2019). Sentiment analysis for mining texts and social networks data: Methods and tools. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 10(1). 68 indexed citations
8.
Agapito, Giuseppe, Mariadelina Simeoni, Barbara Calabrese, et al.. (2017). DIETOS: A Recommender System for Health Profiling and Diet Management in Chronic Diseases.. Conference on Recommender Systems. 32–35. 8 indexed citations
9.
Agapito, Giuseppe, Mariadelina Simeoni, Barbara Calabrese, et al.. (2017). DIETOS: A dietary recommender system for chronic diseases monitoring and management. Computer Methods and Programs in Biomedicine. 153. 93–104. 74 indexed citations
10.
Calabrese, Barbara & Shelley Halpain. (2015). Differential targeting of dynamin-1 and dynamin-3 to nerve terminals during chronic suppression of neuronal activity. Molecular and Cellular Neuroscience. 68. 36–45. 8 indexed citations
11.
Calabrese, Barbara & Mario Cannataro. (2015). Bioinformatics and Microarray Data Analysis on the Cloud. Methods in molecular biology. 1375. 25–39. 10 indexed citations
12.
Schettini, Francesca, Angela Riccio, Luca Simione, et al.. (2015). Assistive Device With Conventional, Alternative, and Brain-Computer Interface Inputs to Enhance Interaction With the Environment for People With Amyotrophic Lateral Sclerosis: A Feasibility and Usability Study. Archives of Physical Medicine and Rehabilitation. 96(3). S46–S53. 38 indexed citations
13.
Calabrese, Barbara, et al.. (2014). Activity-Dependent Dendritic Spine Shrinkage and Growth Involve Downregulation of Cofilin via Distinct Mechanisms. PLoS ONE. 9(4). e94787–e94787. 56 indexed citations
14.
Calabrese, Barbara & Shelley Halpain. (2014). Lithium prevents aberrant NMDA-induced F-actin reorganization in neurons. Neuroreport. 25(17). 1331–1337. 12 indexed citations
15.
Palumbo, Arrigo, Pierangelo Veltri, Barbara Calabrese, et al.. (2011). Experiences of using a DSP based device for vocal signal analysis.. 187–189. 3 indexed citations
16.
Calabrese, Barbara, et al.. (2007). Rapid, concurrent alterations in pre- and postsynaptic structure induced by naturally-secreted amyloid-β protein. Molecular and Cellular Neuroscience. 35(2). 183–193. 97 indexed citations
17.
Calabrese, Barbara & Shelley Halpain. (2005). Essential Role for the PKC Target MARCKS in Maintaining Dendritic Spine Morphology. Neuron. 48(1). 77–90. 148 indexed citations
18.
Calabrese, Barbara, Iustin V. Tabarean, Peter F. Juranka, & Catherine E. Morris. (2002). Mechanosensitivity of N-Type Calcium Channel Currents. Biophysical Journal. 83(5). 2560–2574. 89 indexed citations
19.
Calabrese, Barbara, et al.. (1999). Stretch‐activated cation channels of leech neurons: characterization and role in neurite outgrowth. European Journal of Neuroscience. 11(7). 2275–2284. 15 indexed citations
20.
Calabrese, Barbara, et al.. (1999). The A-like potassium current of a leech neuron increases with age in cell culture. Invertebrate Neuroscience. 4(1). 25–31. 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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