Ami Mariash

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

Impact in

  • Physiology top 0.5%
    • 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 2.7k citations

Ami Mariash's Hit Papers

Tau Suppression in a Neurodegenerative Mouse Model Improves Memory Function 2005 · 1.6k citations
1.6k0+8+16Years since publication50010001.5k

Peers

Ami Mariash
Comparison fields: 5 of 96
  • Physiology 1.7k
  • Neurology 525
  • Cellular and Molecular Neuroscience 885
  • Biological Psychiatry 76
  • Pharmacology 420
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Ami Mariash relative to Jennifer Paulson United States Jennifer Paulson's profile →
Citations per field
00.5×1.5×
Jennifer Paulson · 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
Tau Suppression in a Neurodegenerative Mouse Model Improves Memory Function
Hit paper breakdown →
20051553
2
The Relationship between Aβ and Memory in the Tg2576 Mouse Model of Alzheimer's Disease
Hit paper breakdown →
2002594
3 2002141
4 200490
5 200684
6 201045
7 200144
8 200338
9 201130
10 200427
11 201024
12 199613
13 199711
14 200610
15 20097
16 20085
17 20102

About Ami Mariash

Ami Mariash is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Physiology and Neurology, having authored 17 papers that have together received 2.7k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Alzheimer's disease research and treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Nuclear Receptors and Signaling (2 papers), Mechanical Circulatory Support Devices (2 papers), Connective tissue disorders research (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). The work is most often cited by research in Physiology (1.7k citations), Neurology (525 citations), Cellular and Molecular Neuroscience (885 citations), Biological Psychiatry (76 citations) and Pharmacology (420 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, Mei Yue, M. Ramsden, Christopher Janus, M. Hutton, Colleen L. Forster, Eileen McGowan and Tara L. Spires‐Jones. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Endocrinology, Journal of Cardiovascular Translational Research, Neuroreport and American Journal of Physiology-Heart and Circulatory Physiology.

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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