Rosa Lavieri

467 citations
9 papers · 328 · h-index 8

Impact in

  • Physiology top 10%
    • Adenosine and Purinergic Signaling
    • IL-33, ST2, and ILC Pathways
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms

Papers in

    • Inflammasome and immune disorders 5
    • Sphingolipid Metabolism and Signaling 1
    • Immune Response and Inflammation 4
    • IL-33, ST2, and ILC Pathways 3

Rosa Lavieri

8 papers receiving 327 citations

Peers

Rosa Lavieri
Comparison fields: 5 of 82
  • Physiology 25
  • Immunology 107
  • Nephrology 14
  • Molecular Biology 138
  • Biological Psychiatry 4
Replace Yukun Liu with:
Yukun Liu China
Yuexin Yang China
Mengtao Cao China
Luyu Yao United States
Shalin Pandya United States
Fumitake Usui‐Kawanishi Japan
Enriqué Raya-Álvarez Spain
Petra Egger Austria
Jeroen Slaats Netherlands
Muhammad Nauman Jhandier United States
Rosa Lavieri relative to Yukun Liu China Yukun Liu's profile →
Citations per field
00.5×
Yukun Liu · 1×
Citations per year

Countries citing papers authored by Rosa Lavieri

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Lavieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rosa Lavieri, 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 Rosa Lavieri Line = papers co-authored together Rosa Lavieri links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201592
2 201370
3 201456
4 202335
5 201633
6 201520
7 202215
8 20117
9 20250

About Rosa Lavieri

Rosa Lavieri is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Surgery and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 328 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (5 papers), Immune Response and Inflammation (4 papers), IL-33, ST2, and ILC Pathways (3 papers), Sphingolipid Metabolism and Signaling (1 paper), Colorectal Cancer Screening and Detection (1 paper), COVID-19 epidemiological studies (1 paper), Liver physiology and pathology (1 paper) and Global Cancer Incidence and Screening (1 paper). The work is most often cited by research in Physiology (25 citations), Immunology (107 citations), Nephrology (14 citations), Molecular Biology (138 citations) and Biological Psychiatry (4 citations). Rosa Lavieri has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Sonia Carta, Anna Rubartelli, Marco Gattorno, Federica Penco, Patrizia Piccioli, Charles A. Dinarello, Alberto Martini, Patrizia Castellani, Laura Delfino and Maria Francesca Piazza. Their work appears in journals such as Vaccines, Journal of Hepatology, Journal of Leukocyte Biology, Cancers and Frontiers in Immunology.

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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