Ami Mariash

3.5k citations
17 papers · 2.7k indexed · 2 hit papers · h-index 12

Impact in

  • Physiology top 1%
    • Alzheimer's disease research and treatments
  • Neurology top 1%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Ami Mariash

17 papers receiving 2.6k citations

Hit Papers

Tau Suppression in a Neurodegenerative Mouse Model Improves Memory Function 2005 · 1.5k citations
1.5k200220262010201850010001.5k

Peers

Ami Mariash
Comparison fields: 5 of 98
  • Physiology 1.8k
  • Neurology 568
  • Cellular and Molecular Neuroscience 931
  • Biological Psychiatry 83
  • Pharmacology 453
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Ami Mariash relative to Janet van Eersel Australia Janet van Eersel's profile →
Citations per field
00.5×1.5×
Janet van Eersel · 1×
Citations per year

Countries citing papers authored by Ami Mariash

Since Specialization
Citations

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

Fields of papers citing papers by Ami Mariash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201130
2 201023
3 20102
4 201045
5 20097
6 20085
7 200610
8 200684
9
Tau Suppression in a Neurodegenerative Mouse Model Improves Memory Function
Hit paper breakdown →
20051537
10 200427
11 200490
12 200338
13 2002141
14
The Relationship between Aβ and Memory in the Tg2576 Mouse Model of Alzheimer's Disease
Hit paper breakdown →
2002592
15 200143
16 199711
17 199613

About Ami Mariash

Ami Mariash is a scholar working on Neurology, Cellular and Molecular Neuroscience, Pharmacy, Cancer Research and Cell Biology, having authored 17 papers that have together received 2.7k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Alzheimer's disease research and treatments (2 papers), Connective tissue disorders research (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Cardiovascular Function and Risk Factors (2 papers), Cardiac Structural Anomalies and Repair (2 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Physiology (1.8k citations), Neurology (568 citations), Cellular and Molecular Neuroscience (931 citations), Biological Psychiatry (83 citations) and Pharmacology (453 citations). Ami Mariash has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Karen H. Ashe, Linda Kotilinek, Bradley T. Hyman, M. Hutton, Christopher Janus, Martin Ingelsson, Colleen L. Forster, Michael DeTure, Jada Lewis and Eileen McGowan. Their work appears in journals such as Endocrinology, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Cardiovascular Translational Research, Physiological Genomics and Journal of Molecular and Cellular Cardiology.

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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