Mohamed Benderdour

4.7k citations
87 papers · 3.9k indexed · h-index 37

Mohamed Benderdour

84 papers receiving 3.8k citations

Peers

Mohamed Benderdour
Comparison fields: 5 of 135
  • Rheumatology 978
  • Biomaterials 459
  • Pharmaceutical Science 203
  • Pharmacology 544
  • Cancer Research 391
Replace Nausicaa Clemente with:
Nausicaa Clemente Italy
An Qin China
Ritu Trivedi India
Chiara Dianzani Italy
Lan Yuan China
Longfa Kou China
Jian Luo China
Alice P. Pentland United States
Jie Gao China
Juan Antonio Marchal Spain
Mohamed Benderdour relative to Nausicaa Clemente Italy Nausicaa Clemente's profile →
Citations per field
00.5×6.9×
Nausicaa Clemente · 1×
Citations per year

Countries citing papers authored by Mohamed Benderdour

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Benderdour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20232
3 202232
4 202119
5
Evidence Supporting the Safety of Pegylated Diethylaminoethyl-Chitosan Polymer as a Nanovector for Gene Therapy Applications
20201
6 202010
7 202026
8 201862
9 201729
10 20141
11 201071
12 201088
13 2008138
14 200612
15 2005317
16 200541
17 200578
18 200279
19 200140
20 199738

About Mohamed Benderdour

Mohamed Benderdour is a scholar working on Rheumatology, Pharmacology and Immunology and Allergy, having authored 87 papers that have together received 3.9k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (35 papers), Osteoarthritis Treatment and Mechanisms (31 papers), RNA Interference and Gene Delivery (16 papers), Peroxisome Proliferator-Activated Receptors (12 papers), Advanced biosensing and bioanalysis techniques (12 papers), Virus-based gene therapy research (6 papers), Electrospun Nanofibers in Biomedical Applications (6 papers) and Bone Metabolism and Diseases (6 papers). The work is most often cited by research in Rheumatology (978 citations), Biomaterials (459 citations) and Pharmaceutical Science (203 citations). Mohamed Benderdour has collaborated with scholars based in Canada, China and Brazil. Frequent co-authors include Julio Fernandes, Patrick Lavigne, Hassan Fahmi, Qin Shi, Éric Beaumont, Johanne Martel‐Pelletier, Jean‐Pierre Pelletier, Karin A. Corsi, Françoise M. Winnik and Pierre Ranger. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Biomaterials.

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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