Saba Aïd

2.8k citations
28 papers · 2.2k · h-index 20

Impact in

Papers in

    • Alzheimer's disease research and treatments 8
    • Adipose Tissue and Metabolism 5
    • Neuroinflammation and Neurodegeneration Mechanisms 10

Saba Aïd

27 papers receiving 2.2k citations

Peers

Saba Aïd
Comparison fields: 5 of 106
  • Biological Psychiatry 340
  • Neurology 759
  • Developmental Neuroscience 173
  • Behavioral Neuroscience 125
  • Physiology 658
Replace Maria Antonietta Ajmone‐Cat with:
Maria Antonietta Ajmone‐Cat Italy
Carlos Beas‐Zárate Mexico
Valentina Echeverrı́a United States
Rommy von Bernhardi Chile
Avik Roy United States
Vishnu Suppiramaniam United States
Elisa Mitiko Kawamoto Brazil
Carl Julien Canada
Byung Kwan Jin South Korea
Miranda N. Reed United States
Saba Aïd relative to Maria Antonietta Ajmone‐Cat Italy Maria Antonietta Ajmone‐Cat's profile →
Citations per field
00.5×1.5×
Maria Antonietta Ajmone‐Cat · 1×
Citations per year

Countries citing papers authored by Saba Aïd

Since Specialization
Citations

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

Fields of papers citing papers by Saba Aïd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009318
2 2016270
3 2004233
4 2011191
5 2010190
6 2003127
7 2008122
8 2015121
9 2012104
10 201566
11 200865
12 201759
13 200959
14 200950
15 201539
16 200538
17 201635
18 200734
19 201727
20 200525

About Saba Aïd

Saba Aïd is a scholar working on Physiology, Neurology, Molecular Biology, Pharmacology and Nutrition and Dietetics, having authored 28 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Alzheimer's disease research and treatments (8 papers), Inflammatory mediators and NSAID effects (7 papers), Fatty Acid Research and Health (5 papers), Adipose Tissue and Metabolism (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and S100 Proteins and Annexins (3 papers). The work is most often cited by research in Biological Psychiatry (340 citations), Neurology (759 citations), Developmental Neuroscience (173 citations), Behavioral Neuroscience (125 citations) and Physiology (658 citations). Saba Aïd has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Francesca Bosetti, Sangho Choi, Martin Holzenberger, Sylvie Vancassel, Monique Lavialle, Philippe Guesnet, Zayna Chaker, Robert Langenbach, Hyung‐Wook Kim and Sharon H. Jackson. Their work appears in journals such as Journal of Neuroscience, Brain, Journal of Neuroinflammation, The Pharmacogenomics Journal and Journal of Cerebral Blood Flow & Metabolism.

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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