Silvia Pittolo

16 total papers · 952 total citations
11 papers, 679 citations indexed

About

Silvia Pittolo is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Silvia Pittolo has authored 11 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 8 papers in Materials Chemistry. Recurrent topics in Silvia Pittolo's work include Photochromic and Fluorescence Chemistry (8 papers), Photoreceptor and optogenetics research (7 papers) and Retinal Development and Disorders (4 papers). Silvia Pittolo is often cited by papers focused on Photochromic and Fluorescence Chemistry (8 papers), Photoreceptor and optogenetics research (7 papers) and Retinal Development and Disorders (4 papers). Silvia Pittolo collaborates with scholars based in Spain, United States and France. Silvia Pittolo's co-authors include Pau Gorostiza, Kira E. Poskanzer, Amadeu Llebaria, Xavier Rovira, Jesús Giraldo, Jean‐Philippe Pin, Cyril Goudet, Xavier Gómez‐Santacana, James A. R. Dalton and Michael E. Reitman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Silvia Pittolo

11 papers receiving 678 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Silvia Pittolo 522 385 266 80 60 11 679
Marc López‐Cano 306 0.6× 235 0.6× 272 1.0× 32 0.4× 43 0.7× 28 724
Philipp Stawski 348 0.7× 173 0.4× 350 1.3× 29 0.4× 20 0.3× 8 708
Yves Le Feuvre 438 0.8× 103 0.3× 237 0.9× 27 0.3× 186 3.1× 20 747
Sungsoo Kim 412 0.8× 139 0.4× 341 1.3× 17 0.2× 28 0.5× 21 762
Qijing Xie 285 0.5× 67 0.2× 254 1.0× 36 0.5× 28 0.5× 19 699
Gustavo Morrone Parfitt 314 0.6× 58 0.2× 219 0.8× 72 0.9× 77 1.3× 24 668
Takayasu Mikuni 317 0.6× 75 0.2× 408 1.5× 77 1.0× 24 0.4× 22 744
Joana S. Ferreira 341 0.7× 96 0.2× 290 1.1× 50 0.6× 29 0.5× 22 650
Peter M. Udvarhelyi 546 1.0× 52 0.1× 350 1.3× 35 0.4× 87 1.4× 12 623
Noa Lipstein 386 0.7× 83 0.2× 443 1.7× 24 0.3× 73 1.2× 23 695

Countries citing papers authored by Silvia Pittolo

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Pittolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Pittolo

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

All Works

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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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