Sergio Vaira

465 total citations
10 papers, 378 citations indexed

About

Sergio Vaira is a scholar working on Molecular Biology, Cancer Research and Rheumatology. According to data from OpenAlex, Sergio Vaira has authored 10 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Rheumatology. Recurrent topics in Sergio Vaira's work include Bone Metabolism and Diseases (3 papers), NF-κB Signaling Pathways (2 papers) and Cell death mechanisms and regulation (1 paper). Sergio Vaira is often cited by papers focused on Bone Metabolism and Diseases (3 papers), NF-κB Signaling Pathways (2 papers) and Cell death mechanisms and regulation (1 paper). Sergio Vaira collaborates with scholars based in United States, Belgium and Italy. Sergio Vaira's co-authors include Deborah V. Novack, Muhammad Alhawagri, Roberta Faccio, Hideki Kitaura, Angela C. Hirbe, Julie O’Neal, Wei Zou, Katherine N. Weilbaecher, Trevor Johnson and Bénédicte Sammut and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Endocrinology.

In The Last Decade

Sergio Vaira

10 papers receiving 376 citations

Peers

Sergio Vaira
Comparison fields: 5 of 60
  • Molecular Biology 288
  • Oncology 153
  • Cancer Research 138
  • Immunology 51
  • Orthopedics and Sports Medicine 40
Replace T Kato with:
T Kato Japan
Teodora Karan-Djurašević Serbia
Yanfeng Wu China
Veronica Henderson United States
Olivier Masson Canada
Jennifer B. Jones United States
Fabian T. Andes Germany
Xinnv Xu China
A. W. Norman United States
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Citations per field, relative to Sergio Vaira
Sergio Vaira · 1×
Citations per year, relative to Sergio Vaira
Sergio Vaira · 1×

Countries citing papers authored by Sergio Vaira

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Vaira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Vaira

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 30
2 15
3 144
4 115
5 21
6 41
7
HGF and M-CSF modulate adhesion of MDA-231 breast cancer cell by increasing osteopontin secretion.
7
8
Lack of defective cardiac oxidative metabolism in intact dogs subjected to a prolonged low-dose infusion of Escherichia coli endotoxin.
2
9
Densité de l'innervation adrénergique cardiaque chez le Rat
1
10
[Intrinsic autonomic innervation of the stomach during aging].
2

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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2026