Silvia Sposini

30 total papers · 781 total citations
17 papers, 554 citations indexed

About

Silvia Sposini is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Silvia Sposini has authored 17 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Cell Biology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Silvia Sposini's work include Cellular transport and secretion (9 papers), Receptor Mechanisms and Signaling (9 papers) and Lipid Membrane Structure and Behavior (4 papers). Silvia Sposini is often cited by papers focused on Cellular transport and secretion (9 papers), Receptor Mechanisms and Signaling (9 papers) and Lipid Membrane Structure and Behavior (4 papers). Silvia Sposini collaborates with scholars based in France, United Kingdom and United States. Silvia Sposini's co-authors include Aylin C. Hanyaloglu, Vincenzo Panichi, P Rindi, M. Migliori, Umberto Maggiore, Cristina Consani, Rafael Pérez‐García, Roberto Palla, Daniele Taccola and Giovanni Manca Rizza and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Protocols.

In The Last Decade

Silvia Sposini

16 papers receiving 545 citations

Author Peers

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

Author						Papers	Cites
Silvia Sposini	260	140	128	86	71	17	554
Neomi Zurgil	200 0.8×	189 1.4×	58 0.5×	52 0.6×	67 0.9×	23	569
K. Henze	222 0.9×	108 0.8×	57 0.4×	33 0.4×	57 0.8×	13	656
Hidehiko Ohta	231 0.9×	91 0.7×	49 0.4×	64 0.7×	38 0.5×	20	517
Susanne U. Miedlich	306 1.2×	90 0.6×	195 1.5×	42 0.5×	62 0.9×	22	624
Omar M. Hauache	281 1.1×	128 0.9×	159 1.2×	29 0.3×	41 0.6×	32	607
H Rivera	404 1.6×	99 0.7×	18 0.1×	84 1.0×	17 0.2×	21	666
Yi‐Tang Tseng	309 1.2×	65 0.5×	28 0.2×	15 0.2×	24 0.3×	19	582
Brenda DeGray	393 1.5×	145 1.0×	61 0.5×	101 1.2×	20 0.3×	13	635
Donghe Han	270 1.0×	85 0.6×	33 0.3×	58 0.7×	142 2.0×	18	669
Tetyana V. Pedchenko	254 1.0×	59 0.4×	26 0.2×	48 0.6×	37 0.5×	14	558

Countries citing papers authored by Silvia Sposini

Since Specialization

Citations

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

Fields of papers citing papers by Silvia Sposini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Sposini

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