Saba Aïd

2.8k citations
28 papers · 2.3k · h-index 21

Impact in

Papers in

    • Alzheimer's disease research and treatments 7
    • Adipose Tissue and Metabolism 5
    • Neuroinflammation and Neurodegeneration Mechanisms 9

Saba Aïd

28 papers receiving 2.3k citations

Peers

Saba Aïd
Comparison fields: 5 of 105
  • Biological Psychiatry 311
  • Neurology 699
  • Developmental Neuroscience 157
  • Behavioral Neuroscience 118
  • Physiology 615
Replace Maria Antonietta Ajmone‐Cat with:
Maria Antonietta Ajmone‐Cat Italy
Carlos Beas‐Zárate Mexico
Marina Concli Leite Brazil
Valentina Echeverrı́a United States
Rommy von Bernhardi Chile
Vishnu Suppiramaniam United States
Carl Julien Canada
Miranda N. Reed United States
Byung Kwan Jin South Korea
Elisa Mitiko Kawamoto Brazil
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 2009327
2 2016281
3 2004242
4 2010203
5 2011196
6 2003140
7 2008127
8 2015124
9 2012108
10 201569
11 200868
12 200961
13 201760
14 200952
15 200542
16 201540
17 200739
18 201636
19 201727
20 200526

About Saba Aïd

Saba Aïd is a scholar working on Physiology, Neurology, Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Alzheimer's disease research and treatments (7 papers), Inflammatory mediators and NSAID effects (6 papers), Adipose Tissue and Metabolism (5 papers), Fatty Acid Research and Health (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and S100 Proteins and Annexins (3 papers). The work is most often cited by research in Biological Psychiatry (311 citations), Neurology (699 citations), Developmental Neuroscience (157 citations), Behavioral Neuroscience (118 citations) and Physiology (615 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, Sharon H. Jackson and Hyung‐Wook Kim. Their work appears in journals such as The Pharmacogenomics Journal, Brain, Journal of Neuroscience, Journal of Cerebral Blood Flow & Metabolism and Journal of Neuroinflammation.

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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