Matteo Zanella

822 total citations
13 papers, 263 citations indexed

About

Matteo Zanella is a scholar working on Pharmacology, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Matteo Zanella has authored 13 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 5 papers in Physiology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Matteo Zanella's work include Musculoskeletal pain and rehabilitation (5 papers), Pain Mechanisms and Treatments (5 papers) and Spine and Intervertebral Disc Pathology (4 papers). Matteo Zanella is often cited by papers focused on Musculoskeletal pain and rehabilitation (5 papers), Pain Mechanisms and Treatments (5 papers) and Spine and Intervertebral Disc Pathology (4 papers). Matteo Zanella collaborates with scholars based in Italy, Germany and United States. Matteo Zanella's co-authors include Giuseppe Testa, Giuseppe D’Agostino, Ben C. Collins, Ludovic Gillet, George Rosenberger, Hannes Röst, Pedro Navarro, Lars Malmström, Yansheng Liu and Ruedi Aebersold and has published in prestigious journals such as Nature Methods, Science Advances and Clinical Journal of Pain.

In The Last Decade

Matteo Zanella

11 papers receiving 260 citations

Peers

Matteo Zanella
Jeffery Shabanowitz United States
Julia S. Gelman United States
Thien Nguyen United States
Martin A. Samuels United States
Z. Zhang United States
Matteo Zanella
Citations per year, relative to Matteo Zanella Matteo Zanella (= 1×) peers Leda Paganini

Countries citing papers authored by Matteo Zanella

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Zanella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Zanella

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

All Works

13 of 13 papers shown
2.
Vigneri, S., Matteo Zanella, Valentina Paci, et al.. (2021). Electrocatheter-mediated High-voltage Pulsed Radiofrequency of the Dorsal Root Ganglion in the Treatment of Chronic Lumbosacral Neuropathic Pain: A RandomizedControlled Study. 13(9). 1 indexed citations
3.
Conti, Valentina, Manuela Cominelli, Valentina Pieri, et al.. (2021). mTORC1 promotes malignant large cell/anaplastic histology and is a targetable vulnerability in SHH-TP53 mutant medulloblastoma. JCI Insight. 6(23). 4 indexed citations
4.
Cavallo, Francesca, Flavia Troglio, Giovanni Fagà, et al.. (2020). High-throughput screening identifies histone deacetylase inhibitors that modulate GTF2I expression in 7q11.23 microduplication autism spectrum disorder patient-derived cortical neurons. Molecular Autism. 11(1). 88–88. 18 indexed citations
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Zanella, Matteo, Alessandro Vitriolo, Thomas J. O’Rourke, et al.. (2020). Dosage analysis of the 7q11.23 Williams region identifies BAZ1B as a major human gene patterning the modern human face and underlying self-domestication. Yearbook of pediatric endocrinology. 1 indexed citations
7.
Zanella, Matteo, Alessandro Vitriolo, Pedro Tiago Martins, et al.. (2019). Dosage analysis of the 7q11.23 Williams region identifies BAZ1B as a major human gene patterning the modern human face and underlying self-domestication. Science Advances. 5(12). eaaw7908–eaaw7908. 54 indexed citations
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Coda, Alberto, et al.. (2018). Straightforward Downsizing of Inclusions in NiTi Alloys: A New Generation of SMA Wires with Outstanding Fatigue Life. Shape Memory and Superelasticity. 4(1). 41–47. 6 indexed citations
10.
Vigneri, S., et al.. (2017). Interventional treatment for neuropathic pain due to combined cervical radiculopathy and carpal tunnel syndrome: a case report. Clinical Case Reports. 5(4). 414–418. 5 indexed citations
11.
Vigneri, S., et al.. (2016). Combined epidural morphine and bupivacaine in the treatment of lumbosacral radicular neuropathic pain: a noncontrolled prospective study. Journal of Pain Research. Volume 9. 1081–1087. 4 indexed citations
12.
Röst, Hannes, Yansheng Liu, Giuseppe D’Agostino, et al.. (2016). TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomics. Nature Methods. 13(9). 777–783. 128 indexed citations
13.
Vigneri, S., et al.. (2015). Effectiveness of pulsed radiofrequency with multifunctional epidural electrode in chronic lumbosacral radicular pain with neuropathic features.. PubMed. 17(6). 477–86. 15 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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