Valentina Scattolini

28 total papers · 1.2k total citations
16 papers, 859 citations indexed

About

Valentina Scattolini is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Valentina Scattolini has authored 16 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Surgery. Recurrent topics in Valentina Scattolini's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Valentina Scattolini is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). Valentina Scattolini collaborates with scholars based in Italy, United Kingdom and China. Valentina Scattolini's co-authors include Angelo Avogaro, Gian Paolo Fadini, Mattia Albiero, Lisa Menegazzo, Roberta Cappellari, Stefano Ciciliot, Nicol Poncina, Fabio Mammano, Catalin Dacian Ciubotaru and A Bruttocao and has published in prestigious journals such as PLoS ONE, Diabetes and The FASEB Journal.

In The Last Decade

Valentina Scattolini

14 papers receiving 852 citations

Author Peers

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

Author						Papers	Cites
Valentina Scattolini	314	288	167	118	95	16	859
Darling Rojas-Canales	319 1.0×	346 1.2×	119 0.7×	53 0.4×	29 0.3×	27	985
Avi Smith	134 0.4×	359 1.2×	98 0.6×	154 1.3×	335 3.5×	32	952
Qiaoli Gu	135 0.4×	342 1.2×	302 1.8×	26 0.2×	37 0.4×	22	1.0k
Xiaolei Ding	124 0.4×	324 1.1×	138 0.8×	29 0.2×	122 1.3×	26	750
Bin Liu	189 0.6×	192 0.7×	166 1.0×	18 0.2×	24 0.3×	33	752
L.F.M.H. de Leij	221 0.7×	289 1.0×	103 0.6×	30 0.3×	40 0.4×	25	1.0k
Joanne Tonkin	198 0.6×	303 1.1×	278 1.7×	16 0.1×	79 0.8×	15	965
Aaron H. Morris	122 0.4×	188 0.7×	196 1.2×	30 0.3×	87 0.9×	26	768
David R. Maestas	172 0.5×	241 0.8×	263 1.6×	13 0.1×	82 0.9×	17	902
Sacha Khong	86 0.3×	142 0.5×	115 0.7×	45 0.4×	197 2.1×	12	709

Countries citing papers authored by Valentina Scattolini

Since Specialization

Citations

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

Fields of papers citing papers by Valentina Scattolini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentina Scattolini

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