Morteza Saki
- Molecular Biology
- Molecular Medicine top 1%
- Infectious Diseases top 5%
- Food Science top 5%
- Endocrinology top 2%
- Co-authors
- Mushtak T.S. Al-OuqailiVictor U. ChigozieDavid Chinemerem NwobodoClement Oliseloke AnieMalachy C. UgwuSaeed KhoshnoodAhmad Farajzadeh SheikhNabi Jomehzadeh
- Topics
- Antibiotic Resistance in Bacteria (36 papers)Bacterial biofilms and quorum sensing (17 papers)Antibiotic Use and Resistance (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
In The Last Decade
Morteza Saki
80 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 543
- Molecular Medicine 448
- Infectious Diseases 294
- Food Science 266
- Endocrinology 199
Countries citing papers authored by Morteza Saki
This map shows the geographic impact of Morteza Saki'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 Morteza Saki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Morteza Saki more than expected).
Fields of papers citing papers by Morteza Saki
This network shows the impact of papers produced by Morteza Saki. 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 Morteza Saki. The network helps show where Morteza Saki may publish in the future.
Co-authorship network of co-authors of Morteza Saki
This figure shows the co-authorship network connecting the top 25 collaborators of Morteza Saki. A scholar is included among the top collaborators of Morteza Saki 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 Morteza Saki. Morteza Saki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 12 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | Prevalence of CRISPR-Cas Systems and Their Possible Association with Antibiotic Resistance in Enterococcus faecalis and Enterococcus faecium Collected from Hospital Wastewater | 45 |
| 13 | 14 | |
| 14 | 14 | |
| 15 | 6 | |
| 16 | 26 | |
| 17 | 11 | |
| 18 | 3 | |
| 19 | Investigation of New Delhi Metallo-Beta-Lactamase 1 (NDM-1) in Clinical Enterobacteriaceae Isolates in Southwest Iran | 2 |
| 20 | Comparison of the Antibacterial Effects of Jaftex Herbal Mouthwash with Matrica and Persica on Streptococcus mutans, Streptococcus sanguinis, Streptococcus salivarius and Lactobacillus casei | 5 |
About Morteza Saki
Morteza Saki is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Endocrinology, having authored 84 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (36 papers), Bacterial biofilms and quorum sensing (17 papers) and Antibiotic Use and Resistance (11 papers). The work is most often cited by research in Molecular Medicine (448 citations), Applied Microbiology and Biotechnology (152 citations) and Endocrinology (199 citations). Morteza Saki has collaborated with scholars based in Iran, Iraq and Nigeria. Frequent co-authors include Mushtak T.S. Al-Ouqaili, Victor U. Chigozie, David Chinemerem Nwobodo, Clement Oliseloke Anie, Malachy C. Ugwu, Saeed Khoshnood, Ahmad Farajzadeh Sheikh, Nabi Jomehzadeh, Mohsen Heidary and Mansour Amin. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.