Oualid Sbai

882 citations
17 papers · 729 · h-index 14

Impact in

Papers in

Oualid Sbai

17 papers receiving 719 citations

Peers

Oualid Sbai
Comparison fields: 5 of 87
  • Neurology 105
  • Developmental Neuroscience 49
  • Cancer Research 159
  • Biological Psychiatry 26
  • Cellular and Molecular Neuroscience 167
Replace Annelies Quaegebeur with:
Annelies Quaegebeur United Kingdom
Olatz Pampliega United States
Nikki K. Lytle United States
Rémi Houlgatte France
Jesse C. Wiley United States
Barbara Mioduszewska Poland
Siddharth G. Kamath United States
Keiko Nakanishi Japan
Qinbo Zhou United States
Gye Sun Jeon South Korea
Oualid Sbai relative to Annelies Quaegebeur United Kingdom Annelies Quaegebeur's profile →
Citations per field
00.5×3.3×
Annelies Quaegebeur · 1×
Citations per year

Countries citing papers authored by Oualid Sbai

Since Specialization
Citations

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

Fields of papers citing papers by Oualid Sbai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2009110
2 201082
3 200880
4 201365
5 200952
6 201249
7 201348
8 202244
9 201341
10 201041
11 201437
12 201136
13 202317
14 201115
15 20206
16 20245
17 20101

About Oualid Sbai

Oualid Sbai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Clinical Biochemistry and Cell Biology, having authored 17 papers that have together received 729 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (4 papers), Protease and Inhibitor Mechanisms (4 papers), Alzheimer's disease research and treatments (3 papers), Silk-based biomaterials and applications (2 papers), Corneal Surgery and Treatments (2 papers), Nerve injury and regeneration (2 papers), S100 Proteins and Annexins (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Neurology (105 citations), Developmental Neuroscience (49 citations), Cancer Research (159 citations), Biological Psychiatry (26 citations) and Cellular and Molecular Neuroscience (167 citations). Oualid Sbai has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Lorena Perrone, Lotfi Ferhat, Yatma Gueye, Anne Bernard, Eliane Charrat, Santiago Rivera, Jean‐Jacques Risso, François Féron, Jean‐Paul Chauvin and Lalit P. Singh. Their work appears in journals such as PLoS ONE, Glia, Journal of Neuroinflammation, The FASEB Journal and The Journal of Clinical Endocrinology & 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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