Ashley I Bush
Ashley I Bush, MBBS, PhD is an expert in Neurology at University of Melbourne (Australia). As of October 2026, ScienceLeadR ranks Ashley I Bush in the top 1% of experts worldwide for Alzheimer Disease, Neurocognitive Disorders and Dementia. Ashley I Bush has authored 698 publications, the most recent in 2026, and is an investigator in 4 clinical trials. SLR score: 2,299 (community average: 125). How the SLR is computed.
LeadR Profile
Neurology
Subspecialties: Biochemistry - Psychiatry - Gastroenterology
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: 1990 - 2026
Number : 698
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 |
|---|---|---|---|
| Real-world utility of plasma GFAP and NfL in early-onset AD and FTD. PMID 42774284 — dementia, frontotemporal dementia, plasma | Alzheimers Dement (Amst) | 2026 | 0 |
| Engineering mRNA-LNP Medicines for the Ageing Brain: Opportunities and Challenges for Neurodegenerative Diseases. PMID 42713005 — brain, rna, messenger, liver, therapeutics, neurodegenerative diseases, lipid nanoparticles | Exploration (Beijing) Top journal | 2026 | 2 |
| Cerebral amyloid angiopathy, brain iron concentrations, and cognitive decline in older people. PMID 42479178 — brain, pathology, cognitive dysfunction, amyloid, memory, cerebral amyloid angiopathy, neurology | Acta Neuropathol | 2026 | 0 |
| Copper isotope shifts in biofluids track Alzheimer's pathology. PMID 42311701 — serum, brain, pathology, trace elements, amyloid, plasma | Alzheimers Dement (Amst) | 2026 | 0 |
| A computational model to describe multi-regional brain architecture during neurodegeneration in Alzheimer's disease. PMID 42289440 — research design, insemination, artificial, heterologous, alzheimer disease, brain, pathology, multiple chronic conditions, cognitive dysfunction, machine learning, natural science disciplines, learning | Sci Rep | 2026 | 0 |
Clinical Studies 4
Synthesis
By phase:
By status:
By type:
By Monocentric/Multicentric:
Main Topics
Cohort/Consortium Investigators 7
LeadR Networks
Main global connection map