Gemma Palazzolo

815 total citations
20 papers, 621 citations indexed

About

Gemma Palazzolo is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Gemma Palazzolo has authored 20 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 8 papers in Biomedical Engineering and 5 papers in Biomaterials. Recurrent topics in Gemma Palazzolo's work include Neuroscience and Neural Engineering (7 papers), 3D Printing in Biomedical Research (6 papers) and Photoreceptor and optogenetics research (2 papers). Gemma Palazzolo is often cited by papers focused on Neuroscience and Neural Engineering (7 papers), 3D Printing in Biomedical Research (6 papers) and Photoreceptor and optogenetics research (2 papers). Gemma Palazzolo collaborates with scholars based in Italy, Switzerland and United Kingdom. Gemma Palazzolo's co-authors include Marcy Zenobi‐Wong, Nicolas Broguière, Maria Letizia Vittorelli, Daniel Gygax, Ida Pucci‐Minafra, Nadia Ninfa Albanese, Gianluca Di Cara, Rami Mhanna, Jana Becher and Aditya Kashyap and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

In The Last Decade

Gemma Palazzolo

20 papers receiving 615 citations

Peers

Gemma Palazzolo

BIOMA

CMN

SURGE

Xiaozhong Zhou China

Amirala Bakhshian Nik United States

Amin Liu China

Hideyuki Hatakeyama Japan

Pinghui Zhou China

Achim Salamon Germany

Weinan Cheng China

Jeoung Soo Lee United States

Yiyuan Duan China

Xiaozhong Zhou China

Gemma Palazzolo

207 ×0.9

212 ×1.2

186 ×1.2

BIOMA

78 ×0.8

CMN

126 ×1.6

SURGE

Citations per year, relative to Gemma Palazzolo Gemma Palazzolo (= 1×) peers Xiaozhong Zhou

Countries citing papers authored by Gemma Palazzolo

Since Specialization

Citations

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

Fields of papers citing papers by Gemma Palazzolo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gemma Palazzolo

This figure shows the co-authorship network connecting the top 25 collaborators of Gemma Palazzolo. A scholar is included among the top collaborators of Gemma Palazzolo 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 Gemma Palazzolo. Gemma Palazzolo 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

Gostyńska, Natalia, Sergio Marras, Monica Moroni, et al.. (2024). Magnesium vs. sodium alginate as precursors of calcium alginate: Mechanical differences and advantages in the development of functional neuronal networks. Carbohydrate Polymers. 342. 122375–122375. 8 indexed citations

Gostyńska, Natalia, et al.. (2024). Magnesium alginate as a low-viscosity (intramolecularly cross-linked) system for the sustained and neuroprotective release of magnesium. Carbohydrate Polymers. 331. 121871–121871. 11 indexed citations

Bartoletti, Stefania, et al.. (2023). Bioresorbable Insertion Aids for Brain Implantable Flexible Probes: A Comparative Study on Silk Fibroin, Alginate, and Disaccharides. SHILAP Revista de lepidopterología. 3(9). 2 indexed citations

Forró, Csaba, Gian Nicola Angotzi, Luca Berdondini, et al.. (2021). Electrophysiology Read-Out Tools for Brain-on-Chip Biotechnology. Micromachines. 12(2). 124–124. 38 indexed citations

Palazzolo, Gemma, Mariangela Rutigliani, Martina Di Francesco, et al.. (2020). Modulating the Distant Spreading of Patient-Derived Colorectal Cancer Cells via Aspirin and Metformin. Translational Oncology. 13(4). 100760–100760. 13 indexed citations

Deguchi, Takahiro, Paolo Bianchini, Gemma Palazzolo, et al.. (2020). Volumetric Lissajous confocal microscopy with tunable spatiotemporal resolution. Biomedical Optics Express. 11(11). 6293–6293. 12 indexed citations

Broguière, Nicolas, Andreas Husch, Gemma Palazzolo, et al.. (2019). Macroporous hydrogels derived from aqueous dynamic phase separation. Biomaterials. 200. 56–65. 65 indexed citations

Boccaccio, Anna, Andrea Contestabile, Monica Moroni, et al.. (2018). Mechano-sensitization of mammalian neuronal networks through expression of the bacterial large-conductance mechanosensitive ion channel. Journal of Cell Science. 131(5). 18 indexed citations

Arlov, Øystein, Vera Malheiro, Matthias Steinwachs, et al.. (2017). Anti-oxidant and immune-modulatory properties of sulfated alginate derivatives on human chondrocytes and macrophages. Biomaterials Science. 5(9). 1756–1765. 47 indexed citations

10.

Palazzolo, Gemma, Monica Moroni, Giacomo Aletti, et al.. (2017). Fast wide-volume functional imaging of engineered in vitro brain tissues. Scientific Reports. 7(1). 8499–8499. 22 indexed citations

11.

Palazzolo, Gemma, et al.. (2017). Real-Time Identification of Cell Mechanical Properties. Biophysical Journal. 112(3). 435a–435a. 1 indexed citations

12.

Palazzolo, Gemma, et al.. (2016). Laser Nano-Neurosurgery from Gentle Manipulation to Nano-Incision of Neuronal Cells and Scaffolds: An Advanced Neurotechnology Tool. Frontiers in Neuroscience. 10. 101–101. 5 indexed citations

13.

Bisio, Marta, et al.. (2016). Modulation of Neural Network Activity through Single Cell Ablation: An in Vitro Model of Minimally Invasive Neurosurgery. Molecules. 21(8). 1018–1018. 6 indexed citations

14.

Evrova, Olivera, Vahid Hosseini, Vincent Milleret, et al.. (2016). Hybrid Randomly Electrospun Poly(lactic-co-glycolic acid):Poly(ethylene oxide) (PLGA:PEO) Fibrous Scaffolds Enhancing Myoblast Differentiation and Alignment. ACS Applied Materials & Interfaces. 8(46). 31574–31586. 38 indexed citations

15.

Palazzolo, Gemma, Nicolas Broguière, Orlando Cenciarelli, Harald Dermutz, & Marcy Zenobi‐Wong. (2015). Ultrasoft Alginate Hydrogels Support Long-Term Three-Dimensional Functional Neuronal Networks. Tissue Engineering Part A. 21(15-16). 2177–2185. 45 indexed citations

16.

Mhanna, Rami, Aditya Kashyap, Gemma Palazzolo, et al.. (2013). Chondrocyte Culture in Three Dimensional Alginate Sulfate Hydrogels Promotes Proliferation While Maintaining Expression of Chondrogenic Markers. Tissue Engineering Part A. 20(9-10). 1454–1464. 100 indexed citations

17.

Palazzolo, Gemma, Pavel Horváth, & Marcy Zenobi‐Wong. (2012). The Flavonoid Isoquercitrin Promotes Neurite Elongation by Reducing RhoA Activity. PLoS ONE. 7(11). e49979–e49979. 32 indexed citations

18.

Scaffaro, Roberto, Luigi Botta, Marilena Sanfilippo, et al.. (2012). Combining in the melt physical and biological properties of poly(caprolactone) and chlorhexidine to obtain antimicrobial surgical monofilaments. Applied Microbiology and Biotechnology. 97(1). 99–109. 61 indexed citations

19.

Palazzolo, Gemma, et al.. (2012). Correction: The Flavonoid Isoquercitrin Promotes Neurite Elongation by Reducing RhoA Activity. PLoS ONE. 7(11). 7 indexed citations

20.

Palazzolo, Gemma, Nadia Ninfa Albanese, Gianluca Di Cara, et al.. (2012). Proteomic analysis of exosome-like vesicles derived from breast cancer cells.. PubMed. 32(3). 847–60. 90 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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