Silvia Canaider

2.2k citations
49 papers · 1.4k indexed · 1 hit paper · h-index 16
Topics
Mesenchymal stem cell research (9 papers)Pluripotent Stem Cells Research (7 papers)Telomeres, Telomerase, and Senescence (4 papers)

In The Last Decade

Silvia Canaider

47 papers receiving 1.4k citations

Hit Papers

An estimation of the number of cells in the human body20132026201720212013200400600

Peers

Silvia Canaider
Comparison fields: 5 of 146
  • Molecular Biology 804
  • Physiology 167
  • Immunology 165
  • Cancer Research 151
  • Oncology 132
Replace Federica Facchin with:
Federica Facchin Italy
Jason Yu United Kingdom
Zhenyu Li China
Leslie O. Goodwin United States
Angela Catizone Italy
Mona Meyer Canada
Vı́ctor J. Yuste Spain
Christopher M. Hope Australia
Takeshi Masuda Japan
Henrike Maatz Germany
Silvia Canaider relative to Federica Facchin Italy Federica Facchin's profile →
Citations per field
00.5×1.5×
Federica Facchin · 1×
Citations per year

Countries citing papers authored by Silvia Canaider

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Canaider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Canaider

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Canaider. A scholar is included among the top collaborators of Silvia Canaider 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 Canaider. Silvia Canaider 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 11
2 5
3 11
4 14
5 32
6 8
7
Human Stem Cell Exposure to Developmental Stage Zebrafish Extracts: a Novel Strategy for Tuning Stemness and Senescence Patterning
7
8 6
9
An estimation of the number of cells in the human bodybreakdown →
601
10 73
11 12
12 13
13 11
14 33
15 15
16 4
17 25
18 15
19 24
20 30

About Silvia Canaider

Silvia Canaider is a scholar working on Genetics, Aging and Molecular Biology, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (9 papers), Pluripotent Stem Cells Research (7 papers) and Telomeres, Telomerase, and Senescence (4 papers). The work is most often cited by research in Aging (27 citations), Molecular Biology (804 citations) and Genetics (112 citations). Silvia Canaider has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Federica Facchin, Raffaella Casadei, Flavia Frabetti, Pierluigi Strippoli, Lorenza Vitale, Eva Bianconi, Maria Chiara Pelleri, Francesco Piva, Allison Piovesan and Alina Beraudi. Their work appears in journals such as Cell, Bioinformatics and PLoS ONE.

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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