Mekki Bensaci
- Infectious Diseases top 10%
- Molecular Biology
- Pharmacology top 10%
- Organic Chemistry
- Microbiology top 5%
- Co-authors
- Jon Y. TakemotoCheng‐Wei Tom ChangDaniel F. SahmLinden T. HuDebaditya BhattacharyaRoger ClarkRavi RaiHui Yu
- Topics
- Antimicrobial Resistance in Staphylococcus (8 papers)Bacterial Identification and Susceptibility Testing (6 papers)Plant-Microbe Interactions and Immunity (5 papers)
- Journals
- Antimicrobial Agents and ChemotherapyThe Journal of Organic ChemistryFrontiers in Microbiology
- Partner nations
- United StatesGreeceItaly
In The Last Decade
Mekki Bensaci
24 papers receiving 542 citations
Peers
Comparison fields: 5 of 61
- Infectious Diseases 202
- Molecular Biology 178
- Pharmacology 115
- Organic Chemistry 111
- Microbiology 75
Countries citing papers authored by Mekki Bensaci
This map shows the geographic impact of Mekki Bensaci'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 Mekki Bensaci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mekki Bensaci more than expected).
Fields of papers citing papers by Mekki Bensaci
This network shows the impact of papers produced by Mekki Bensaci. 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 Mekki Bensaci. The network helps show where Mekki Bensaci may publish in the future.
Co-authorship network of co-authors of Mekki Bensaci
This figure shows the co-authorship network connecting the top 25 collaborators of Mekki Bensaci. A scholar is included among the top collaborators of Mekki Bensaci based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mekki Bensaci. Mekki Bensaci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 11 | |
| 3 | 14 | |
| 4 | 14 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 29 | |
| 9 | 3 | |
| 10 | 45 | |
| 11 | 49 | |
| 12 | 36 | |
| 13 | 28 | |
| 14 | 46 | |
| 15 | 35 | |
| 16 | Biosurfactant Enhancement of Syringomycin Fungicidal Activity | 1 |
| 17 | 9 | |
| 18 | 26 | |
| 19 | 44 | |
| 20 | 31 |
About Mekki Bensaci
Mekki Bensaci is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Infectious Diseases, having authored 25 papers that have together received 552 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial Identification and Susceptibility Testing (6 papers) and Plant-Microbe Interactions and Immunity (5 papers). The work is most often cited by research in Molecular Medicine (68 citations), Microbiology (75 citations) and Applied Microbiology and Biotechnology (24 citations). Mekki Bensaci has collaborated with scholars based in United States, Greece and Italy. Frequent co-authors include Jon Y. Takemoto, Cheng‐Wei Tom Chang, Daniel F. Sahm, Linden T. Hu, Debaditya Bhattacharya, Roger Clark, Ravi Rai, Hui Yu, Jinhua Wang and Philip A. Gurnev. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, The Journal of Organic Chemistry and Frontiers in Microbiology.
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.