Stefania Scalise

514 citations
24 papers · 373 indexed · h-index 12
Topics
Pluripotent Stem Cells Research (7 papers)CRISPR and Genetic Engineering (7 papers)Neuroscience and Neural Engineering (4 papers)
Partner nations
ItalySaudi ArabiaDenmark

In The Last Decade

Stefania Scalise

23 papers receiving 369 citations

Peers

Stefania Scalise
Comparison fields: 5 of 80
  • Molecular Biology 171
  • Biomedical Engineering 110
  • Surgery 98
  • Biomaterials 70
  • Cellular and Molecular Neuroscience 36
Replace Maria Teresa De Angelis with:
Maria Teresa De Angelis Italy
Sunil George United States
И. Н. Сабурина Russia
Annunziata Crupi Italy
Emiliano Bolesani Germany
Maki Takeda Japan
Sureshkumar Perumal Srinivasan Germany
Tony Chour United States
Elena Cambria United States
Max Urbanczyk Germany
Stefania Scalise relative to Maria Teresa De Angelis Italy Maria Teresa De Angelis's profile →
Citations per field
00.5×1.5×2.1×
Maria Teresa De Angelis · 1×
Citations per year

Countries citing papers authored by Stefania Scalise

Since Specialization
Citations

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

Fields of papers citing papers by Stefania Scalise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefania Scalise

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 4
5 1
6 1
7 16
8 13
9 3
10 3
11 5
12 17
13 9
14 13
15 13
16 12
17 25
18 11
19 15
20 29

About Stefania Scalise

Stefania Scalise is a scholar working on Aging, Biophysics and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 373 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (7 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Biomaterials (70 citations), Aging (8 citations) and Biophysics (16 citations). Stefania Scalise has collaborated with scholars based in Italy, Saudi Arabia and Denmark. Frequent co-authors include Giovanni Cuda, Elvira Immacolata Parrotta, Maria Teresa De Angelis, Gianluca Santamaria, Patrizio Candeloro, Gerardo Perozziello, Maria Laura Coluccio, Vincenzo Mollace, Tania Limongi and Enzo Di Fabrizio. Their work appears in journals such as Annals of Neurology, Scientific Reports and International Journal of Molecular Sciences.

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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