Silvia Sabbioni

10.6k citations
78 papers · 8.4k indexed · 3 hit papers · h-index 36
Topics
MicroRNA in disease regulation (26 papers)Circular RNAs in diseases (15 papers)Cancer-related molecular mechanisms research (13 papers)
Partner nations
ItalyUnited StatesSudan

In The Last Decade

Silvia Sabbioni

76 papers receiving 8.3k citations

Hit Papers

MicroRNA Gene Expression Deregulation in Human Breast Cancer200520262012201920052007200810002.0k3.0k

Peers

Silvia Sabbioni
Comparison fields: 5 of 124
  • Molecular Biology 6.7k
  • Cancer Research 5.9k
  • Oncology 1.2k
  • Pathology and Forensic Medicine 508
  • Epidemiology 395
Replace Sven Diederichs with:
Sven Diederichs Germany
Philip A. Gregory Australia
Kerstin Schmidt Germany
Johng S. Rhim United States
Zusen Fan China
Dan R. Robinson United States
Yutaka Kondo Japan
C D Bucana United States
Angang Yang China
Lunquan Sun China
Silvia Sabbioni relative to Sven Diederichs Germany Sven Diederichs's profile →
Citations per field
00.5×1.6×
Sven Diederichs · 1×
Citations per year

Countries citing papers authored by Silvia Sabbioni

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Sabbioni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Sabbioni

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Sabbioni. A scholar is included among the top collaborators of Silvia Sabbioni 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 Sabbioni. Silvia Sabbioni 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 3
3 14
4 21
5 10
6 14
7 6
8 78
9 20
10 261
11 343
12 244
13
Cyclin G1 Is a Target of miR-122a, a MicroRNA Frequently Down-regulated in Human Hepatocellular Carcinomabreakdown →
670
14 58
15 2
16
MicroRNA Gene Expression Deregulation in Human Breast Cancerbreakdown →
3320
17 81
18 90
19 34
20 4

About Silvia Sabbioni

Silvia Sabbioni is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 78 papers that have together received 8.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (26 papers), Circular RNAs in diseases (15 papers) and Cancer-related molecular mechanisms research (13 papers). The work is most often cited by research in Cancer Research (5.9k citations), Molecular Biology (6.7k citations) and Oncology (1.2k citations). Silvia Sabbioni has collaborated with scholars based in Italy, United States and Sudan. Frequent co-authors include Massimo Negrini, Carlo M. Croce, Manuela Ferracin, Angelo Veronese, George A. Calin, Laura Gramantieri, Chang‐Gong Liu, Francesca Fornari, Anne Rosenberg and Massimo Pedriali. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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