Paola Secchiero

13.0k citations
276 papers · 9.5k indexed · h-index 54
  • Immunology top 1%
  • Oncology top 0.5%
    • Cancer-related Molecular Pathways 26
    • Viral-associated cancers and disorders 20
  • Virology top 1%
    • NF-κB Signaling Pathways 24
    • Cell death mechanisms and regulation 56
    • Bone Metabolism and Diseases 21
    • Cytomegalovirus and herpesvirus research 29
    • Herpesvirus Infections and Treatments 20
    • Chronic Lymphocytic Leukemia Research 21

Paola Secchiero

269 papers receiving 9.3k citations

Peers

Paola Secchiero
Comparison fields: 5 of 150
  • Immunology 2.4k
  • Oncology 2.7k
  • Virology 472
  • Cancer Research 1.3k
  • Molecular Biology 4.3k
Replace Florence M. Hofman with:
Florence M. Hofman United States
Giorgio Zauli Italy
Peter J. Nelson Germany
A. J. H. Gearing United Kingdom
Grietje Molema Netherlands
Dermot Kelleher Ireland
Zwi Berneman Belgium
Markus H. Heim Switzerland
Francis W. Luscinskas United States
Andrew S. Weyrich United States
Paola Secchiero relative to Florence M. Hofman United States Florence M. Hofman's profile →
Citations per field
00.5×
Florence M. Hofman · 1×
Citations per year

Countries citing papers authored by Paola Secchiero

Since Specialization
Citations

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

Fields of papers citing papers by Paola Secchiero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Paola Secchiero, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paola Secchiero Line = papers co-authored together Paola Secchiero links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 20245
3 202212
4 20210
5 20215
6 202131
7 2020271
8 202013
9 20208
10 202032
11 201814
12 20182
13 20175
14 2017201
15 201617
16 201328
17 201335
18 201163
19 201118
20 201041

About Paola Secchiero

Paola Secchiero is a scholar working on Immunology, Oncology and Virology, having authored 276 papers that have together received 9.5k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (56 papers), Cytomegalovirus and herpesvirus research (29 papers), Cancer-related Molecular Pathways (26 papers), NF-κB Signaling Pathways (24 papers), Chronic Lymphocytic Leukemia Research (21 papers), Bone Metabolism and Diseases (21 papers), Herpesvirus Infections and Treatments (20 papers) and Viral-associated cancers and disorders (20 papers). The work is most often cited by research in Immunology (2.4k citations), Oncology (2.7k citations) and Virology (472 citations). Paola Secchiero has collaborated with scholars based in Italy, United States and Saudi Arabia. Frequent co-authors include Giorgio Zauli, Arianna Gonelli, E. Melloni, Silvano Capitani, Federica Corallini, Veronica Tisato, Claudio Celeghini, Rebecca Voltan, Erika Rimondi and Daniela Milani. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

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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