Stina Mui

2.2k citations
9 papers · 1.7k · 1 hit paper · h-index 8

Impact in

  • Physiology top 2%
    • Alzheimer's disease research and treatments
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Stina Mui

9 papers receiving 1.7k citations

Stina Mui's Hit Papers

Neuronal loss correlates with but exceeds neurofibrillary tangles in Alzheimer's disease 1997 · 1.2k citations
1.2k0+9+19Years since publication2505007501000

Peers

Stina Mui
Comparison fields: 5 of 89
  • Physiology 991
  • Neurology 265
  • Cellular and Molecular Neuroscience 473
  • Psychiatry and Mental health 268
  • Developmental Neuroscience 73
Replace V.M.-Y. Lee with:
V.M.-Y. Lee United States
Richard Hollister United States
Raúl Mena Mexico
Jan Six Belgium
Nupur Ghoshal United States
M. McNamara United States
Ursula Lübke Belgium
Lena Lilius Sweden
Jerry P. Melchor United States
Brian Anderton United Kingdom
Stina Mui relative to V.M.-Y. Lee United States V.M.-Y. Lee's profile →
Citations per field
00.5×4.9×
V.M.-Y. Lee · 1×
Citations per year

Countries citing papers authored by Stina Mui

Since Specialization
Citations

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

Fields of papers citing papers by Stina Mui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Neuronal loss correlates with but exceeds neurofibrillary tangles in Alzheimer's disease
Hit paper breakdown →
19971153
2 1999123
3 2005110
4 2002103
5 199563
6 199659
7 199654
8 200153
9 19961

About Stina Mui

Stina Mui is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Psychiatry and Mental health and Pharmacology, having authored 9 papers that have together received 1.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Axon Guidance and Neuronal Signaling (3 papers), Retinal Development and Disorders (2 papers), Dementia and Cognitive Impairment Research (2 papers), Developmental Biology and Gene Regulation (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Physiology (991 citations), Neurology (265 citations), Cellular and Molecular Neuroscience (473 citations), Psychiatry and Mental health (268 citations) and Developmental Neuroscience (73 citations). Stina Mui has collaborated with scholars based in United States and Italy. Frequent co-authors include Bradley T. Hyman, Teresa Gómez‐Isla, Howard West, John H. Growdon, Richard Hollister, Ronald C. Petersen, Joseph E. Parisi, Stefano Bertuzzi, Greg Lemke and Robert Hindges. Their work appears in journals such as Genes & Development, Annals of Neurology, Annals of the New York Academy of Sciences, Development and Neurology.

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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