M. Usiak

1.8k citations
14 papers · 1.6k · h-index 13

Impact in

  • Physiology top 2%
    • Alzheimer's disease research and treatments
    • Cholinesterase and Neurodegenerative Diseases

Papers in

    • Alzheimer's disease research and treatments 9
    • Prion Diseases and Protein Misfolding 5
    • Amyloidosis: Diagnosis, Treatment, Outcomes 4

M. Usiak

14 papers receiving 1.5k citations

Peers

M. Usiak
Comparison fields: 5 of 77
  • Physiology 1.3k
  • Pharmacology 332
  • Cellular and Molecular Neuroscience 287
  • Molecular Biology 1.0k
  • Computational Theory and Mathematics 198
Replace Luisa Onstead with:
Luisa Onstead United States
Colin L. Masters Australia
G. M. Cole United States
Lawrence M. Refolo United States
Charlotte Forsell Sweden
Erene Mina United States
Annelies Vandersteen Belgium
Helmut Romig Germany
Camilla Nilsberth Sweden
T V Ramabhadran United States
M. Usiak relative to Luisa Onstead United States Luisa Onstead's profile →
Citations per field
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Luisa Onstead · 1×
Citations per year

Countries citing papers authored by M. Usiak

Since Specialization
Citations

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

Fields of papers citing papers by M. Usiak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1990366
2 1992366
3 1988217
4 1988160
5 1994119
6 199094
7 198972
8 198646
9 198629
10 199926
11 199222
12 199617
13 198815
14 19862

About M. Usiak

M. Usiak is a scholar working on Physiology, Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience and Psychiatry and Mental health, having authored 14 papers that have together received 1.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Prion Diseases and Protein Misfolding (5 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Dementia and Cognitive Impairment Research (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Nerve injury and regeneration (1 paper) and Spinal Cord Injury Research (1 paper). The work is most often cited by research in Physiology (1.3k citations), Pharmacology (332 citations), Cellular and Molecular Neuroscience (287 citations), Molecular Biology (1.0k citations) and Computational Theory and Mathematics (198 citations). M. Usiak has collaborated with scholars based in United States and Japan. Frequent co-authors include Steven G. Younkin, Todd E. Golde, Linda H. Younkin, Steven Estus, Mark L. Cohen, Mark R. Palmert, Barry Greenberg, Tatsuhide Kunishita, Takeshi Tabira and David E. Lowery. Their work appears in journals such as Science, Journal of Neuropathology & Experimental Neurology, Biochemical and Biophysical Research Communications, Journal of Neuroscience and Journal of Biological Chemistry.

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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