Faïza Tebbji

1.4k citations
36 papers · 871 · h-index 18

Impact in

Papers in

    • Fungal and yeast genetics research 9
    • Plant Reproductive Biology 4
    • Polyamine Metabolism and Applications 4
    • Antifungal resistance and susceptibility 18

Faïza Tebbji

36 papers receiving 864 citations

Peers

Faïza Tebbji
Comparison fields: 5 of 72
  • Infectious Diseases 494
  • Epidemiology 285
  • Food Science 165
  • Molecular Biology 421
  • Periodontics 20
Replace Sascha Thewes with:
Sascha Thewes Germany
Pedro Pais Portugal
Lubomira Stateva United Kingdom
Amanda O. Veri Canada
Audrey L. Atkin United States
Phyllis C. Braun United States
Ashutosh Singh India
Chang Su China
Shelley Lane United States
Bhawna Yadav India
Faïza Tebbji relative to Sascha Thewes Germany Sascha Thewes's profile →
Citations per field
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Sascha Thewes · 1×
Citations per year

Countries citing papers authored by Faïza Tebbji

Since Specialization
Citations

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

Fields of papers citing papers by Faïza Tebbji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200974
2 201271
3 201570
4 201064
5 201761
6 201050
7 201450
8 201840
9 201932
10 202028
11 201926
12 201226
13 202025
14 201425
15 201723
16 201820
17 201620
18 200619
19 200717
20 202216

About Faïza Tebbji

Faïza Tebbji is a scholar working on Molecular Biology, Infectious Diseases, Plant Science, Epidemiology and Oncology, having authored 36 papers that have together received 871 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (18 papers), Fungal and yeast genetics research (9 papers), Fungal Infections and Studies (5 papers), Plant Reproductive Biology (4 papers), Plant-Microbe Interactions and Immunity (4 papers), Peptidase Inhibition and Analysis (4 papers), Polyamine Metabolism and Applications (4 papers) and Antimicrobial Peptides and Activities (3 papers). The work is most often cited by research in Infectious Diseases (494 citations), Epidemiology (285 citations), Food Science (165 citations), Molecular Biology (421 citations) and Periodontics (20 citations). Faïza Tebbji has collaborated with scholars based in Canada, United States and Palestinian Territory. Frequent co-authors include Adnane Sellam, André Nantel, Malcolm Whiteway, Rebecca S. Shapiro, Daniel P. Matton, Leah E. Cowen, Carol A. Kumamoto, Carlos García, Adnane Remmal and Charlie Boone. Their work appears in journals such as mSphere, PLoS Genetics, Eukaryotic Cell, Frontiers in Cellular and Infection Microbiology and Current Biology.

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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