Naïma Benbernou

882 citations
18 papers · 772 · h-index 13

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Psoriasis: Treatment and Pathogenesis
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation

Papers in

    • Immune Cell Function and Interaction 7
    • Immune Response and Inflammation 4
    • T-cell and B-cell Immunology 3

Naïma Benbernou

18 papers receiving 749 citations

Peers

Naïma Benbernou
Comparison fields: 5 of 93
  • Immunology 457
  • Immunology and Allergy 56
  • Sensory Systems 38
  • Dermatology 65
  • Virology 33
Replace Giorgio Trinchieri with:
Giorgio Trinchieri United States
Shi‐Chuen Miaw Taiwan
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A. van Oudenaren Netherlands
Yannick O. Alexandre Australia
Andrea Nguyen United States
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Citations per field
00.5×6.3×
Giorgio Trinchieri · 1×
Citations per year

Countries citing papers authored by Naïma Benbernou

Since Specialization
Citations

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

Fields of papers citing papers by Naïma Benbernou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Naïma Benbernou, 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 Naïma Benbernou Line = papers co-authored together Naïma Benbernou links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1999207
2 1999127
3 1997110
4 199664
5 199853
6 199535
7 200035
8 200222
9 200720
10
Influence of mouse genotype and bacterial virulence in the generation of interferon-gamma-producing cells during the early phase of Salmonella typhimurium infection.
199420
11 199317
12 201115
13 199612
14 201311
15 199211
16 200310
17 19932
18 19981

About Naïma Benbernou

Naïma Benbernou is a scholar working on Immunology, Molecular Biology, Cellular and Molecular Neuroscience, Oncology and Sensory Systems, having authored 18 papers that have together received 772 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Immune Response and Inflammation (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Biochemical Analysis and Sensing Techniques (3 papers), Olfactory and Sensory Function Studies (3 papers), T-cell and B-cell Immunology (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Immunology (457 citations), Immunology and Allergy (56 citations), Sensory Systems (38 citations), Dermatology (65 citations) and Virology (33 citations). Naïma Benbernou has collaborated with scholars based in France, United States and Morocco. Frequent co-authors include Moncef Guenounou, Stéphane Esnault, Scott K. Durum, Kathrin Muegge, Éva Rajnavölgyi, Annette R. Khaled, Robert Hofmeister, G Potron, F. Lavaud and C Nauciel. Their work appears in journals such as Clinical & Experimental Immunology, Cellular Signalling, Cytokine, Journal of Heredity and Biochimie.

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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