Saba Aïd

29 papers receiving 2.3k citations

Peers

Saba Aïd
Comparison fields: 5 of 98
  • Neurology 670
  • Biological Psychiatry 94
  • Nutrition and Dietetics 367
  • Aging 44
  • Developmental Neuroscience 75
Replace Maria Antonietta Ajmone‐Cat with:
Maria Antonietta Ajmone‐Cat Italy
Joanna Benigna Strosznajder Poland
Marina Concli Leite Brazil
Carlos Beas‐Zárate Mexico
Juhyun Song South Korea
André Quincozes‐Santos Brazil
Jerzy W. Łazarewicz Poland
Agnès Nadjar France
Jade de Oliveira Brazil
Izaskun Buendía Spain
Saba Aïd relative to Maria Antonietta Ajmone‐Cat Italy Maria Antonietta Ajmone‐Cat's profile →
Citations per field
00.5×1.5×2×2.3×
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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009341
2 2016303
3 2004242
4 2010205
5 2011197
6 2003139
7 2008130
8 2015129
9 2012113
10 201571
11 200868
12 201763
13 200961
14 200952
15 200549
16 201541
17 201640
18 200739
19 201729
20 200526

About Saba Aïd

Saba Aïd is a scholar working on Neurology, Pharmacology, Physiology, Nutrition and Dietetics and Endocrinology, Diabetes and Metabolism, having authored 29 papers that have together received 2.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Inflammatory mediators and NSAID effects (6 papers), Fatty Acid Research and Health (5 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Hemispheric Asymmetry in Neuroscience (1 paper), Neurogenetic and Muscular Disorders Research (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Neurology (670 citations), Biological Psychiatry (94 citations), Nutrition and Dietetics (367 citations), Aging (44 citations) and Developmental Neuroscience (75 citations). Saba Aïd has collaborated with scholars based in France, United States and Israel. Frequent co-authors include Francesca Bosetti, Sangho Choi, Martin Holzenberger, Sylvie Vancassel, Monique Lavialle, Philippe Guesnet, Carine Poumès‐Ballihaut, Zayna Chaker, Robert I. Langenbach and Sharon H. Jackson. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, Journal of Neurochemistry, Journal of Neuroinflammation, Journal of Neuroscience and The Pharmacogenomics Journal.

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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