Stefano Taverna

3.9k total citations · 1 hit paper
44 papers, 2.8k citations indexed

About

Stefano Taverna is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Stefano Taverna has authored 44 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cellular and Molecular Neuroscience, 25 papers in Molecular Biology and 7 papers in Cognitive Neuroscience. Recurrent topics in Stefano Taverna's work include Neuroscience and Neuropharmacology Research (18 papers), Neuroscience and Neural Engineering (9 papers) and Ion channel regulation and function (9 papers). Stefano Taverna is often cited by papers focused on Neuroscience and Neuropharmacology Research (18 papers), Neuroscience and Neural Engineering (9 papers) and Ion channel regulation and function (9 papers). Stefano Taverna collaborates with scholars based in Italy, United States and Netherlands. Stefano Taverna's co-authors include Ema Ilijić, D. James Surmeier, Giovanni Russo, Vania Broccoli, Silvana Franceschetti, G. Avanzini, Cyriel M. A. Pennartz, Elena Dvoretskova, Maria Teresa Dell’Anno and Alexander Dityatev and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Neuron.

In The Last Decade

Stefano Taverna

44 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Direct generation of functional dopaminergic neurons from mouse and human fibroblasts

2011 781 citations Massimiliano Caiazzo, Maria Teresa Dell’Anno et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefano Taverna Italy	24	1.6k	1.4k	514	338	241	44	2.8k
Thoralf Opitz Germany	26	1.8k 1.1×	1.8k 1.3×	467 0.9×	110 0.3×	567 2.4×	52	2.9k
Leonard Khiroug Finland	29	1.8k 1.1×	1.8k 1.2×	400 0.8×	95 0.3×	209 0.9×	61	3.2k
Zhongfeng Wang China	26	1.6k 1.0×	2.0k 1.4×	583 1.1×	750 2.2×	108 0.4×	104	3.9k
Maria Talantova United States	24	2.5k 1.6×	1.8k 1.3×	248 0.5×	219 0.6×	456 1.9×	34	3.7k
Herman Moreno United States	26	2.0k 1.2×	1.6k 1.1×	520 1.0×	165 0.5×	139 0.6×	44	3.5k
Xiaohai Wang United States	18	1.1k 0.7×	1.7k 1.2×	490 1.0×	278 0.8×	429 1.8×	40	3.3k
Alexis‐Pierre Bemelmans France	28	1.6k 1.0×	1.1k 0.8×	159 0.3×	136 0.4×	207 0.9×	65	2.8k
Peter R. Maycox United Kingdom	31	2.3k 1.5×	1.8k 1.3×	346 0.7×	201 0.6×	156 0.6×	44	3.8k
Anna‐Liisa Brownell United States	25	849 0.5×	1.1k 0.8×	286 0.6×	757 2.2×	123 0.5×	71	2.5k
Donald Pizzo United States	31	1.7k 1.1×	643 0.5×	196 0.4×	279 0.8×	298 1.2×	80	3.1k

Countries citing papers authored by Stefano Taverna

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Taverna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Taverna

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

Fagiani, Francesca, Edoardo Pedrini, Stefano Taverna, et al.. (2024). A glia-enriched stem cell 3D model of the human brain mimics the glial-immune neurodegenerative phenotypes of multiple sclerosis. Cell Reports Medicine. 5(8). 101680–101680. 9 indexed citations

Croci, Laura, Fabio Lauria, Alessandro Ambrosi, et al.. (2023). Neuronal models of TDP-43 proteinopathy display reduced axonal translation, increased oxidative stress, and defective exocytosis. Frontiers in Cellular Neuroscience. 17. 1253543–1253543. 9 indexed citations

Cattaneo, Stefano, Maria Regoni, Jenny Sassone, & Stefano Taverna. (2021). Cell-attached and Whole-cell Patch-clamp Recordings of Dopamine Neurons in the Substantia Nigra Pars Compacta of Mouse Brain Slices. BIO-PROTOCOL. 11(15). e4109–e4109. 2 indexed citations

Zaghi, Mattia, Luca Massimino, Federica Banfi, et al.. (2021). TBL1XR1 Ensures Balanced Neural Development Through NCOR Complex-Mediated Regulation of the MAPK Pathway. Frontiers in Cell and Developmental Biology. 9. 641410–641410. 11 indexed citations

Regoni, Maria, Stefano Cattaneo, Daniela Mercatelli, et al.. (2020). Pharmacological antagonism of kainate receptor rescues dysfunction and loss of dopamine neurons in a mouse model of human parkin-induced toxicity. Cell Death and Disease. 11(11). 963–963. 16 indexed citations

Mazzocchi, Nausicaa, Fabio Grohovaz, Stefano Taverna, & Andrea Menegon. (2019). Membrane potential changes occurring upon acidification influence the binding of small-molecule inhibitors to ASIC1a. Neuropharmacology. 148. 366–376. 3 indexed citations

Cozzi, Anna, Daniel Orellana, Paolo Santambrogio, et al.. (2019). Stem Cell Modeling of Neuroferritinopathy Reveals Iron as a Determinant of Senescence and Ferroptosis during Neuronal Aging. Stem Cell Reports. 13(5). 832–846. 68 indexed citations

Sessa, Alessandro, Luca Fagnocchi, Luca Massimino, et al.. (2019). SETD5 Regulates Chromatin Methylation State and Preserves Global Transcriptional Fidelity during Brain Development and Neuronal Wiring. Neuron. 104(2). 271–289.e13. 73 indexed citations

Guarnieri, Fabrizia Claudia, Serena Bellani, Latefa Yekhlef, et al.. (2017). Synapsin I deletion reduces neuronal damage and ameliorates clinical progression of experimental autoimmune encephalomyelitis. Brain Behavior and Immunity. 68. 197–210. 2 indexed citations

10.

Rubio, Alicia, Mirko Luoni, Serena Giannelli, et al.. (2016). Rapid and efficient CRISPR/Cas9 gene inactivation in human neurons during human pluripotent stem cell differentiation and direct reprogramming. Scientific Reports. 6(1). 37540–37540. 31 indexed citations

11.

Orellana, Daniel, Paolo Santambrogio, Alicia Rubio, et al.. (2016). Coenzyme A corrects pathological defects in human neurons of PANK 2‐associated neurodegeneration. EMBO Molecular Medicine. 8(10). 1197–1211. 71 indexed citations

12.

Uva, Laura, Gian Luca Breschi, Vadym Gnatkovsky, Stefano Taverna, & Marco de Curtis. (2015). Synchronous Inhibitory Potentials Precede Seizure-Like Events in Acute Models of Focal Limbic Seizures. Journal of Neuroscience. 35(7). 3048–3055. 58 indexed citations

13.

Dell’Anno, Maria Teresa, Massimiliano Caiazzo, Damiana Leo, et al.. (2014). Remote control of induced dopaminergic neurons in parkinsonian rats. Journal of Clinical Investigation. 124(7). 3215–3229. 91 indexed citations

14.

Russo, Giovanni & Stefano Taverna. (2014). Investigation of Synaptic Microcircuits Using Patch-Clamp Paired Recordings in Acute Brain Slices. Methods in molecular biology. 1183. 183–193. 1 indexed citations

15.

Ceglia, Roberta De, Linda Chaabane, Emilia Biffi, et al.. (2014). Down-sizing of neuronal network activity and density of presynaptic terminals by pathological acidosis are efficiently prevented by Diminazene Aceturate. Brain Behavior and Immunity. 45. 263–276. 28 indexed citations

16.

Bonifazi, P., Francesco Difato, Paolo Massobrio, et al.. (2013). In vitro large-scale experimental and theoretical studies for the realization of bi-directional brain-prostheses. Frontiers in Neural Circuits. 7. 40–40. 61 indexed citations

17.

Taverna, Stefano, Barbara Canciani, & Cyriel M. A. Pennartz. (2007). Membrane properties and synaptic connectivity of fast-spiking interneurons in rat ventral striatum. Brain Research. 1152. 49–56. 56 indexed citations

18.

Taverna, Stefano, Tatiana Tkatch, Alexia E. Metz, & Marco Martina. (2005). Differential Expression of TASK Channels between Horizontal Interneurons and Pyramidal Cells of Rat Hippocampus. Journal of Neuroscience. 25(40). 9162–9170. 49 indexed citations

19.

Taverna, Stefano & Cyriel M. A. Pennartz. (2003). Postsynaptic modulation of AMPA- and NMDA-receptor currents by Group III metabotropic glutamate receptors in rat nucleus accumbens. Brain Research. 976(1). 60–68. 8 indexed citations

20.

Taverna, Stefano, Massimo Mantegazza, Silvana Franceschetti, & G. Avanzini. (1998). Valproate selectively reduces the persistent fraction of Na+ current in neocortical neurons. Epilepsy Research. 32(1-2). 304–308. 75 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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