Gianluigi Forloni
Gianluigi Forloni is an expert in Neurology at Mario Negri Institute for Pharmacological Research (Italy). As of July 2026, ScienceLeadR ranks Gianluigi Forloni in the top 1% of experts worldwide for Alzheimer Disease, Dementia and Neurocognitive Disorders. Gianluigi Forloni has authored 531 publications, the most recent in 2026, and is an investigator in 3 clinical trials. SLR score: 1,377 (community average: 125). How the SLR is computed.
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Neurology
Subspecialties: Psychiatry - Biochemistry - Genetics
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Publications and Clinical Studies
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Career arc: 1981 - 2026
Number : 531
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5 most recent indexed articles
Source: Pubmed
| Title | Journal | Year | Citations |
|---|---|---|---|
| The Wiskott-Aldrich Syndrome protein (WASp) contribution to microglial phagocytic function and neurodevelopmental support. PMID 42410656 — microglia, cells, brain, stem cells, myeloid cells, wiskott-aldrich syndrome, wiskott-aldrich syndrome protein, neurodevelopment | J Neuroinflammation | 2026 | 0 |
| Engineering a multilayered thin-film agarose-based hydrogel to support adipose-derived stromal vascular fraction therapy in spinal cord injury. PMID 42190778 — cells, hydrogel, polyethylene glycol dimethacrylate, hydrogels, spinal cord, spinal cord injuries, sepharose, therapeutics, spine | Int J Biol Macromol | 2026 | 0 |
| Correction: A gut-brain axis on-a-chip platform for drug testing challenged with donepezil. PMID 41859911 — research design, donepezil, pharmaceutical preparations, brain, nanotechnology | Lab Chip | 2026 | 0 |
| Glial and Neuronal Alzheimer's Disease-Related Alterations Reproduced in Human Induced Pluripotent Stem Cells With Presenilin-1 Mutation. PMID 41646317 — microglia, cells, genes, astrocytes, microscopy, electron, scanning transmission, neurons, pluripotent stem cells, alzheimer disease, brain, presenilins, phenotype, stem cells, neuroglia, induced pluripotent stem cells, therapeutics, presenilin-1, mutation | Res Sq | 2026 | 0 |
| A Comprehensive Framework for Uncertainty Quantification of Voxel-Wise Supervised Deep Learning Models in IVIM MRI. PMID 41555683 — magnetic resonance imaging, uncertainty, deep learning, work, learning | NMR Biomed | 2026 | 0 |
Clinical Studies 3
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