Silvia Piccinotti

538 total citations
9 papers, 393 citations indexed

About

Silvia Piccinotti is a scholar working on Cellular and Molecular Neuroscience, Epidemiology and Molecular Biology. According to data from OpenAlex, Silvia Piccinotti has authored 9 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in Silvia Piccinotti's work include Neurobiology and Insect Physiology Research (3 papers), Herpesvirus Infections and Treatments (2 papers) and Rabies epidemiology and control (2 papers). Silvia Piccinotti is often cited by papers focused on Neurobiology and Insect Physiology Research (3 papers), Herpesvirus Infections and Treatments (2 papers) and Rabies epidemiology and control (2 papers). Silvia Piccinotti collaborates with scholars based in United States, Netherlands and Japan. Silvia Piccinotti's co-authors include Sean P. J. Whelan, Matthieu Louis, Leslie B. Vosshall, Kenta Asahina, Tomas Kirchhausen, Lynn W. Enquist, Becket Feierbach, Margaret E. Bisher, Winfried Denk and Lily Sarrafha and has published in prestigious journals such as Journal of Virology, PLoS Pathogens and Journal of Visualized Experiments.

In The Last Decade

Silvia Piccinotti

9 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Silvia Piccinotti United States	7	132	115	106	104	75	9	393
Elizabeth A. Corey United States	13	235 1.8×	83 0.7×	75 0.7×	141 1.4×	27 0.4×	24	585
Katherine Taylor United States	16	143 1.1×	101 0.9×	110 1.0×	96 0.9×	14 0.2×	23	589
Kristel Kegler Germany	11	75 0.6×	73 0.6×	85 0.8×	84 0.8×	18 0.2×	29	497
Haiyun Gong China	8	183 1.4×	95 0.8×	222 2.1×	77 0.7×	408 5.4×	11	715
Olga A. Maximova United States	16	87 0.7×	36 0.3×	195 1.8×	165 1.6×	32 0.4×	29	801
J D DeZazzo United States	12	125 0.9×	124 1.1×	368 3.5×	34 0.3×	83 1.1×	15	514
Lucia Silvotti Italy	12	242 1.8×	33 0.3×	79 0.7×	23 0.2×	60 0.8×	23	504
C.L. Wilcox United States	13	180 1.4×	219 1.9×	274 2.6×	556 5.3×	105 1.4×	14	875
Tony del Rio United States	11	38 0.3×	176 1.5×	183 1.7×	242 2.3×	24 0.3×	14	533
Akane Ohta Japan	16	69 0.5×	41 0.4×	120 1.1×	93 0.9×	13 0.2×	30	579

Countries citing papers authored by Silvia Piccinotti

Since Specialization

Citations

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

Fields of papers citing papers by Silvia Piccinotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Piccinotti

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

All Works

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9 of 9 papers shown

Ahfeldt, Tim, Alban Ordureau, Christina Bell, et al.. (2020). Pathogenic Pathways in Early-Onset Autosomal Recessive Parkinson's Disease Discovered Using Isogenic Human Dopaminergic Neurons. Stem Cell Reports. 14(1). 75–90. 37 indexed citations

Robinson‐McCarthy, Lindsey R., Kevin R. McCarthy, Matthijs Raaben, et al.. (2018). Reconstruction of the cell entry pathway of an extinct virus. PLoS Pathogens. 14(8). e1007123–e1007123. 18 indexed citations

Piccinotti, Silvia & Sean P. J. Whelan. (2016). Rabies Internalizes into Primary Peripheral Neurons via Clathrin Coated Pits and Requires Fusion at the Cell Body. PLoS Pathogens. 12(7). e1005753–e1005753. 45 indexed citations

Piccinotti, Silvia, Tomas Kirchhausen, & Sean P. J. Whelan. (2013). Uptake of Rabies Virus into Epithelial Cells by Clathrin-Mediated Endocytosis Depends upon Actin. Journal of Virology. 87(21). 11637–11647. 77 indexed citations

Asahina, Kenta, Matthieu Louis, Silvia Piccinotti, & Leslie B. Vosshall. (2009). A circuit supporting concentration-invariant odor perception in Drosophila. Journal of Biology. 8(1). 9–9. 107 indexed citations

Louis, Matthieu, Silvia Piccinotti, & Leslie B. Vosshall. (2008). High-resolution Measurement of Odor-Driven Behavior in Drosophila Larvae. Journal of Visualized Experiments. 20 indexed citations

Louis, Matthieu, Silvia Piccinotti, & Leslie B. Vosshall. (2008). High-resolution Measurement of Odor-Driven Behavior in Drosophila Larvae. Journal of Visualized Experiments. 5 indexed citations

Feierbach, Becket, Silvia Piccinotti, Margaret E. Bisher, Winfried Denk, & Lynn W. Enquist. (2006). Alpha-Herpesvirus Infection Induces the Formation of Nuclear Actin Filaments. PLoS Pathogens. 2(8). e85–e85. 81 indexed citations

Feierbach, Becket, et al.. (2006). Correction: Alpha-Herpesvirus Infection Induces the Formation of Nuclear Actin Filaments. PLoS Pathogens. 2(9). e103–e103. 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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