Vincenzo Prato

658 total citations
9 papers, 458 citations indexed

About

Vincenzo Prato is a scholar working on Physiology, Molecular Biology and Sensory Systems. According to data from OpenAlex, Vincenzo Prato has authored 9 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 5 papers in Molecular Biology and 3 papers in Sensory Systems. Recurrent topics in Vincenzo Prato's work include Pain Mechanisms and Treatments (6 papers), Ion channel regulation and function (4 papers) and Ion Channels and Receptors (3 papers). Vincenzo Prato is often cited by papers focused on Pain Mechanisms and Treatments (6 papers), Ion channel regulation and function (4 papers) and Ion Channels and Receptors (3 papers). Vincenzo Prato collaborates with scholars based in Germany, United Kingdom and Italy. Vincenzo Prato's co-authors include Stefan G. Lechner, Francisco J. Taberner, Paul A. Heppenstall, Hagen Wende, Katrin Schrenk-Siemens, Vijayan Gangadharan, Carmen Birchmeier, James R.F. Hockley, Gerard Callejo and Ewan St. John Smith and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Vincenzo Prato

9 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincenzo Prato Germany 7 321 188 134 77 46 9 458
Katrin Schrenk-Siemens Germany 8 270 0.8× 202 1.1× 177 1.3× 89 1.2× 39 0.8× 12 486
Johannes Kühnemund Germany 5 236 0.7× 166 0.9× 72 0.5× 59 0.8× 38 0.8× 5 340
James H. Thompson United States 5 296 0.9× 189 1.0× 141 1.1× 79 1.0× 33 0.7× 8 457
Ruby M. Lam United States 7 377 1.2× 269 1.4× 87 0.6× 80 1.0× 71 1.5× 10 530
Annabelle R. Charbit United States 12 266 0.8× 112 0.6× 138 1.0× 65 0.8× 26 0.6× 14 797
Quan‐Ming Zhu United States 4 202 0.6× 192 1.0× 160 1.2× 131 1.7× 33 0.7× 5 872
M. Danilo Boada United States 13 212 0.7× 89 0.5× 128 1.0× 24 0.3× 25 0.5× 26 377
Maorong Jiang United States 15 304 0.9× 123 0.7× 304 2.3× 111 1.4× 29 0.6× 25 695
Sara Nencini Australia 12 198 0.6× 225 1.2× 106 0.8× 50 0.6× 10 0.2× 16 604
Bao Nan Chen Australia 12 220 0.7× 77 0.4× 138 1.0× 122 1.6× 44 1.0× 19 640

Countries citing papers authored by Vincenzo Prato

Since Specialization
Citations

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

Fields of papers citing papers by Vincenzo Prato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincenzo Prato

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

All Works

9 of 9 papers shown
1.
Li, Xinmeng, Arthur Silveira Prudente, Vincenzo Prato, et al.. (2024). Peripheral gating of mechanosensation by glial diazepam binding inhibitor. Journal of Clinical Investigation. 134(16). 5 indexed citations
2.
Zeboudj, Lynda, Silvia Oggero, Vincenzo Prato, et al.. (2024). Macrophage to neuron communication via extracellular vesicles in neuropathic pain conditions. Heliyon. 11(1). e41268–e41268. 2 indexed citations
3.
Nees, Timo A., Na Wang, Pavel Adámek, et al.. (2023). Role of TMEM100 in mechanically insensitive nociceptor un-silencing. Nature Communications. 14(1). 1899–1899. 8 indexed citations
4.
Prato, Vincenzo, Stefan G. Lechner, Gerbrand J. Groen, et al.. (2020). TTX-Resistant Sodium Channels Functionally Separate Silent From Polymodal C-nociceptors. Frontiers in Cellular Neuroscience. 14. 13–13. 7 indexed citations
5.
Taberner, Francisco J., et al.. (2019). Structure-guided examination of the mechanogating mechanism of PIEZO2. Proceedings of the National Academy of Sciences. 116(28). 14260–14269. 53 indexed citations
6.
Prato, Vincenzo, et al.. (2018). Differential modulation of voltage-gated sodium channels by nerve growth factor in three major subsets of TrkA-expressing nociceptors. Molecular Pain. 14. 2224618416–2224618416. 12 indexed citations
7.
Prato, Vincenzo, Francisco J. Taberner, James R.F. Hockley, et al.. (2017). Functional and Molecular Characterization of Mechanoinsensitive “Silent” Nociceptors. Cell Reports. 21(11). 3102–3115. 124 indexed citations
8.
Prato, Vincenzo, Francisco J. Taberner, Hagen Wende, et al.. (2016). Touch Receptor-Derived Sensory Information Alleviates Acute Pain Signaling and Fine-Tunes Nociceptive Reflex Coordination. Neuron. 93(1). 179–193. 152 indexed citations
9.
Schrenk-Siemens, Katrin, Hagen Wende, Vincenzo Prato, et al.. (2014). PIEZO2 is required for mechanotransduction in human stem cell–derived touch receptors. Nature Neuroscience. 18(1). 10–16. 95 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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