Faten A. Sayed

1.6k citations
9 papers · 914 · h-index 8

Impact in

  • Neurology top 1%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Tryptophan and brain disorders

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 8
    • Amyotrophic Lateral Sclerosis Research 1
    • Alzheimer's disease research and treatments 3

Faten A. Sayed

9 papers receiving 908 citations

Peers

Faten A. Sayed
Comparison fields: 5 of 79
  • Neurology 561
  • Biological Psychiatry 113
  • Geriatrics and Gerontology 67
  • Developmental Neuroscience 82
  • Physiology 311
Replace Seo-Hyun Cho with:
Seo-Hyun Cho United States
David Le United States
Qiao-Quan Zhang China
Stephanie A. Cordonnier United States
Sarah B. Matousek United States
Daniel Orellana Italy
Natalia Salvadores Chile
Xinchun Jin China
Michael S. Unger Austria
Derek A. Costello Ireland
Faten A. Sayed relative to Seo-Hyun Cho United States Seo-Hyun Cho's profile →
Citations per field
00.5×1.5×2.2×
Seo-Hyun Cho · 1×
Citations per year

Countries citing papers authored by Faten A. Sayed

Since Specialization
Citations

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

Fields of papers citing papers by Faten A. Sayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Faten A. Sayed. 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 Faten A. Sayed. The network helps show where Faten A. Sayed may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2015230
2 2016157
3 2016155
4 2018131
5 2019114
6 201984
7 202323
8 202018
9 20112

About Faten A. Sayed

Faten A. Sayed is a scholar working on Neurology, Physiology, Immunology, Molecular Biology and Neurology, having authored 9 papers that have together received 914 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Alzheimer's disease research and treatments (3 papers), Inflammation biomarkers and pathways (2 papers), Pharmacological Effects of Natural Compounds (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper), Neural dynamics and brain function (1 paper) and Diffusion and Search Dynamics (1 paper). The work is most often cited by research in Neurology (561 citations), Biological Psychiatry (113 citations), Geriatrics and Gerontology (67 citations), Developmental Neuroscience (82 citations) and Physiology (311 citations). Faten A. Sayed has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Li Gan, Frédérique Bard, Paul D. Wes, Yungui Zhou, Fuying Gao, Giovanni Coppola, Seo-Hyun Cho, Grietje Krabbe, Lihong Zhan and Yaqiao Li. Their work appears in journals such as Glia, Neurobiology of Disease, Scientific Reports, Proceedings of the National Academy of Sciences and PLoS Biology.

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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