Rachida Aid

1.5k citations
44 papers · 1.2k · h-index 20

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • Nanoparticle-Based Drug Delivery
    • Seaweed-derived Bioactive Compounds

Papers in

    • Bone Tissue Engineering Materials 9
    • 3D Printing in Biomedical Research 7
    • Tissue Engineering and Regenerative Medicine 9

Rachida Aid

44 papers receiving 1.2k citations

Peers

Rachida Aid
Comparison fields: 5 of 98
  • Biomaterials 419
  • Aquatic Science 137
  • Molecular Medicine 86
  • Biomedical Engineering 509
  • Urology 37
Replace Ece Öztürk with:
Ece Öztürk Switzerland
Katsuaki Ono Japan
Yanlin Jiang China
Sihan Lin China
Kang Won Song South Korea
Antonio Junior Lepedda Italy
Kiyohaya Obara Japan
Aart A. van Apeldoorn Netherlands
Zhenhui Lu China
Rachida Aid relative to Ece Öztürk Switzerland Ece Öztürk's profile →
Citations per field
00.5×6.0×
Ece Öztürk · 1×
Citations per year

Countries citing papers authored by Rachida Aid

Since Specialization
Citations

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

Fields of papers citing papers by Rachida Aid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017140
2 201693
3 201883
4 201859
5 201356
6 201755
7 201753
8 201645
9 202141
10 201436
11 201934
12 201732
13 202231
14 201726
15 201926
16 201325
17 201825
18 201724
19 201921
20 201119

About Rachida Aid

Rachida Aid is a scholar working on Biomedical Engineering, Surgery, Biomaterials, Molecular Biology and Neurology, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (10 papers), Bone Tissue Engineering Materials (9 papers), Tissue Engineering and Regenerative Medicine (9 papers), 3D Printing in Biomedical Research (7 papers), Seaweed-derived Bioactive Compounds (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Intracranial Aneurysms: Treatment and Complications (4 papers) and Hydrogels: synthesis, properties, applications (4 papers). The work is most often cited by research in Biomaterials (419 citations), Aquatic Science (137 citations), Molecular Medicine (86 citations), Biomedical Engineering (509 citations) and Urology (37 citations). Rachida Aid has collaborated with scholars based in France, United States and India. Frequent co-authors include Didier Letourneur, Cédric Chauvierre, Catherine Le Visage, Maya Juenet, Véronique Ollivier, Bo Li, Murielle Maire, Joël Aerts, Marie-Noëlle Labour and Antonino Nicoletti. Their work appears in journals such as Biomaterials, Scientific Reports, International Journal of Molecular Sciences, ACS Nano and Advanced Healthcare Materials.

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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