Valentina Scattolini

1.2k citations
16 papers · 873 indexed · h-index 13
Topics
Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers)Tissue Engineering and Regenerative Medicine (2 papers)Muscle Physiology and Disorders (2 papers)
Partner nations
ItalyUnited KingdomChina

In The Last Decade

Valentina Scattolini

14 papers receiving 866 citations

Peers

Valentina Scattolini
Comparison fields: 5 of 96
  • Immunology 321
  • Molecular Biology 289
  • Biomedical Engineering 172
  • Endocrinology, Diabetes and Metabolism 118
  • Rehabilitation 98
Replace Xiaolei Ding with:
Xiaolei Ding China
Е. A. Vorotelyak Russia
Libero Vitiello Italy
Michał Pikuła Poland
Changjiang Yu China
Sharon Etzion Israel
David Dolivo United States
Yeri Alice Rim South Korea
Emily E. Friedrich United States
P. Guerreschi France
Valentina Scattolini relative to Xiaolei Ding China Xiaolei Ding's profile →
Citations per field
00.5×4.1×
Xiaolei Ding · 1×
Citations per year

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

16 of 16 papers shown
#WorkIndexed citations
1 0
2 11
3 0
4 12
5 168
6 20
7 48
8 33
9 121
10 13
11 12
12 43
13 267
14 55
15 28
16 42

About Valentina Scattolini

Valentina Scattolini is a scholar working on Sensory Systems, Neurology and Immunology, having authored 16 papers that have together received 873 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Immunology (321 citations), Rehabilitation (98 citations) and Endocrinology, Diabetes and Metabolism (118 citations). Valentina Scattolini has collaborated with scholars based in Italy, United Kingdom and China. Frequent co-authors include Angelo Avogaro, Gian Paolo Fadini, Mattia Albiero, Lisa Menegazzo, Roberta Cappellari, Stefano Ciciliot, Nicol Poncina, Fabio Mammano, Catalin Dacian Ciubotaru and Giorgio Arrigoni. Their work appears in journals such as PLoS ONE, Diabetes and The FASEB Journal.

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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