Francesca Zanoni
Francesca Zanoni is an expert in Nephrology at Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (Italy). Francesca Zanoni has authored 80 publications, the most recent in 2026. SLR score: 269 (community average: 125). How the SLR is computed.
LeadR Profile
Nephrology
Subspecialties: Biochemistry - Transplantation - Immunology
Main Topics
Publications and Clinical Studies
Profile data updated on
Expert Rankings
Top experts on the MeSH terms this expert works on
Organizations
Career arc: 2016 - 2026
Number : 80
Citations
Main journals
Best Journals
Breakdown by type
Click a legend label to hide or show it in the chart.
Latest Publications
5 most recent indexed articles
Source: Pubmed
| Title | Journal | Year | Citations |
|---|---|---|---|
| Single-section multiplex spatial proteomics of immune microenvironments in kidney transplantation. PMID 42707293 — kidney diseases, bias, fibrosis, workflow, kidney, biopsy, immune system diseases, proteomics, transplants, complement system proteins, therapeutics, kidney transplantation, tissues, transplantation | Front Immunol | 2026 | 0 |
| The combined impact of HLA and non-HLA mismatch between donors and recipients on kidney transplant survival: a genomic analysis in a prospective cohort. PMID 42556135 — biomedical research, kidney, work, transplants | EBioMedicine | 2026 | 1 |
| Longitudinal multiomics profiling of extracorporeal cross-circulation with pig liver xenografts in human decedents. PMID 42414621 — cells, macrophages, neutrophils, liver, endothelial cells, complement system proteins, heterografts, thrombocytopenia | Nat Med Top journal | 2026 | 1 |
| Evidence-Based Medicine versus Personalized Medicine when attempting to block complement in IgA nephropathy. PMID 42411846 — nephrology, precision medicine, renal dialysis, complement system proteins, kidney transplantation, evidence-based medicine, glomerulonephritis, iga | Nephrol Dial Transplant | 2026 | 0 |
| Atlas of glomerular disease-specific genetic effects on blood transcriptome. PMID 42396300 — genes, blood, transcriptome | medRxiv | 2026 | 0 |
LeadR Networks
Main global connection map