Sana Alibí

599 citations
23 papers · 449 · h-index 9

Impact in

Papers in

    • Diphtheria, Corynebacterium, and Tetanus 6
    • Hepatitis B Virus Studies 3
    • Mycobacterium research and diagnosis 2

Sana Alibí

23 papers receiving 446 citations

Peers

Sana Alibí
Comparison fields: 5 of 88
  • Endocrinology 126
  • Molecular Medicine 49
  • Clinical Biochemistry 59
  • Food Science 117
  • Applied Microbiology and Biotechnology 10
Replace Zarizal Suhaili with:
Zarizal Suhaili Malaysia
Shahana Urooj Kazmi Pakistan
P. Nicoletti Italy
Mohammad Bokaeian Iran
Mrityunjoy Acharjee Bangladesh
Safoura Derakhshan Iran
Walaa A. Alshareef Egypt
Tanise Vendruscolo Dalmolin Brazil
Ramadan Hassan Egypt
Ramliza Ramli Malaysia
Sana Alibí relative to Zarizal Suhaili Malaysia Zarizal Suhaili's profile →
Citations per field
00.5×1.5×1.9×
Zarizal Suhaili · 1×
Citations per year

Countries citing papers authored by Sana Alibí

Since Specialization
Citations

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

Fields of papers citing papers by Sana Alibí

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202190
2 202079
3 201777
4 201544
5 201524
6 202218
7 202017
8 202212
9 201610
10 20218
11 20238
12 20208
13 20168
14 20197
15 20147
16 20227
17 20206
18 20214
19 20223
20 20203

About Sana Alibí

Sana Alibí is a scholar working on Endocrinology, Epidemiology, Health, Toxicology and Mutagenesis, Clinical Biochemistry and Infectious Diseases, having authored 23 papers that have together received 449 indexed citations. Recurring topics across this work include Diphtheria, Corynebacterium, and Tetanus (6 papers), Bacterial Identification and Susceptibility Testing (4 papers), Hepatitis B Virus Studies (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Antibiotic Resistance in Bacteria (3 papers), Essential Oils and Antimicrobial Activity (3 papers), Hepatitis C virus research (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Endocrinology (126 citations), Molecular Medicine (49 citations), Clinical Biochemistry (59 citations), Food Science (117 citations) and Applied Microbiology and Biotechnology (10 citations). Sana Alibí has collaborated with scholars based in Tunisia, Spain and France. Frequent co-authors include Jesús Navas, Jalel Boukadida, Asma Ferjani, Dámaso Crespo, Hédi Ben Mansour, Walid Ben-Selma, Luis Martı́nez-Martı́nez, María Eliecer Cano, Marta Fernández-Martínez and Mohamed Ali Smach. Their work appears in journals such as Journal of Water and Health, Immunology Letters, Environmental Science and Pollution Research, Current Microbiology and BioMed Research International.

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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