Aurora Savino

1.4k citations
30 papers · 794 indexed · h-index 13
Topics
MicroRNA in disease regulation (6 papers)Cancer-related molecular mechanisms research (4 papers)Bioinformatics and Genomic Networks (4 papers)

In The Last Decade

Aurora Savino

25 papers receiving 788 citations

Peers

Aurora Savino
Comparison fields: 5 of 85
  • Molecular Biology 587
  • Cancer Research 180
  • Oncology 83
  • Genetics 75
  • Immunology 71
Replace Zhaoxia Sun with:
Zhaoxia Sun United States
Jennifer N. Cech United States
Enrica Calura Italy
Emily K. Pugach United States
Liwei Guo China
Keith A. Mintzer United States
Jens Preussner Germany
Fabrice Daian France
Weiyong Sun United States
Stephanie Chidester United States
Aurora Savino relative to Zhaoxia Sun United States Zhaoxia Sun's profile →
Citations per field
00.5×3.9×
Zhaoxia Sun · 1×
Citations per year

Countries citing papers authored by Aurora Savino

Since Specialization
Citations

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

Fields of papers citing papers by Aurora Savino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurora Savino

This figure shows the co-authorship network connecting the top 25 collaborators of Aurora Savino. A scholar is included among the top collaborators of Aurora Savino 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 Aurora Savino. Aurora Savino 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 0
2 1
3 3
4 19
5 27
6 3
7 62
8 7
9
The N-terminal domain of the adaptor protein p140Cap interacts with Tiam1 and controls Tiam1/Rac1 axis.
4
10 26
11 103
12 223
13 24
14 76
15 14
16 15
17 1
18
[Hematoma and fat necrosis of the breast: mammographic and echographic features].
10
19
[Mammographic control after quadrantectomy and radiation therapy].
1
20
An expert system designed as a tutoring tool in cervical cytology: TTCC-1 system.
2

About Aurora Savino

Aurora Savino is a scholar working on Cancer Research, Molecular Biology and Developmental Neuroscience, having authored 30 papers that have together received 794 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (4 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Aging (41 citations), Cancer Research (180 citations) and Molecular Biology (587 citations). Aurora Savino has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include John C. Marioni, Wolf Reik, Hisham Mohammed, Valeria Poli, Alessandro Cellerino, Carla Mulas, Antonio Scialdone, Mario Baumgart, Wendy Dean and Thierry Voet. Their work appears in journals such as Oncogene, FEBS Letters 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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