Faten A. Sayed

1.6k total citations
9 papers, 866 citations indexed

About

Faten A. Sayed is a scholar working on Neurology, Physiology and Immunology. According to data from OpenAlex, Faten A. Sayed has authored 9 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 3 papers in Physiology and 3 papers in Immunology. Recurrent topics in Faten A. Sayed's work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Alzheimer's disease research and treatments (3 papers) and Inflammation biomarkers and pathways (2 papers). Faten A. Sayed is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Alzheimer's disease research and treatments (3 papers) and Inflammation biomarkers and pathways (2 papers). Faten A. Sayed collaborates with scholars based in United States, Netherlands and Germany. Faten A. Sayed's co-authors include Li Gan, Paul D. Wes, Frédérique Bard, Yungui Zhou, Giovanni Coppola, Fuying Gao, Grietje Krabbe, Seo-Hyun Cho, Yaqiao Li and David Le and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Faten A. Sayed

9 papers receiving 859 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Faten A. Sayed United States	8	582	331	240	168	118	9	866
Grietje Krabbe United States	8	661 1.1×	450 1.4×	208 0.9×	206 1.2×	166 1.4×	8	1.1k
David Le United States	10	456 0.8×	360 1.1×	176 0.7×	197 1.2×	79 0.7×	11	770
Seo-Hyun Cho United States	5	259 0.4×	291 0.9×	112 0.5×	181 1.1×	65 0.6×	5	708
Min Song China	16	345 0.6×	424 1.3×	181 0.8×	422 2.5×	141 1.2×	28	1.1k
Sarah B. Matousek United States	7	552 0.9×	238 0.7×	224 0.9×	185 1.1×	188 1.6×	9	852
Qiao-Quan Zhang China	9	401 0.7×	379 1.1×	165 0.7×	218 1.3×	94 0.8×	12	868
Stephanie A. Cordonnier United States	7	163 0.3×	294 0.9×	139 0.6×	364 2.2×	96 0.8×	8	851
Michael S. Unger Austria	13	528 0.9×	308 0.9×	152 0.6×	205 1.2×	190 1.6×	23	826
Derek A. Costello Ireland	16	459 0.8×	300 0.9×	262 1.1×	218 1.3×	142 1.2×	22	891
Carla Iarlori Italy	16	532 0.9×	378 1.1×	154 0.6×	294 1.8×	192 1.6×	18	1.2k

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-authorship network of co-authors of Faten A. Sayed

This figure shows the co-authorship network connecting the top 25 collaborators of Faten A. Sayed. A scholar is included among the top collaborators of Faten A. Sayed based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Faten A. Sayed. Faten A. Sayed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Mao, Wenjie, Cathrine Petersen, Gui-Qiu Yu, et al.. (2023). Alzheimer risk-increasing TREM2 variant causes aberrant cortical synapse density and promotes network hyperexcitability in mouse models. Neurobiology of Disease. 186. 106263–106263. 20 indexed citations

Telpoukhovskaia, Maria A., Kai Liu, Faten A. Sayed, et al.. (2020). Discovery of small molecules that normalize the transcriptome and enhance cysteine cathepsin activity in progranulin-deficient microglia. Scientific Reports. 10(1). 13688–13688. 17 indexed citations

Zhan, Lihong, Grietje Krabbe, Fei Du, et al.. (2019). Proximal recolonization by self-renewing microglia re-establishes microglial homeostasis in the adult mouse brain. PLoS Biology. 17(2). e3000134–e3000134. 109 indexed citations

Kodama, Lay, Elmer Guzman, Jon Iker Etchegaray, et al.. (2019). Microglial microRNAs mediate sex-specific responses to tau pathology. Nature Neuroscience. 23(2). 167–171. 79 indexed citations

Sayed, Faten A., Maria A. Telpoukhovskaia, Lay Kodama, et al.. (2018). Differential effects of partial and complete loss of TREM2 on microglial injury response and tauopathy. Proceedings of the National Academy of Sciences. 115(40). 10172–10177. 126 indexed citations

Wes, Paul D., Faten A. Sayed, Frédérique Bard, & Li Gan. (2016). Targeting microglia for the treatment of Alzheimer's Disease. Glia. 64(10). 1710–1732. 150 indexed citations

Möller, Thomas, Frédérique Bard, Anindya Bhattacharya, et al.. (2016). Critical data‐based re‐evaluation of minocycline as a putative specific microglia inhibitor. Glia. 64(10). 1788–1794. 149 indexed citations

Cho, Seo-Hyun, Jason Chen, Faten A. Sayed, et al.. (2015). SIRT1 Deficiency in Microglia Contributes to Cognitive Decline in Aging and Neurodegeneration via Epigenetic Regulation of IL-1β. Journal of Neuroscience. 35(2). 807–818. 214 indexed citations

Sayed, Ali H. & Faten A. Sayed. (2011). Diffusion adaptation over networks of particles subject to Brownian fluctuations. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 685–690. 2 indexed citations

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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