Majid Akbari
- Co-authors
- Martin GleaveColleen C. NelsonSusan EttingerRichard SobelHideaki MiyakeSatoshi KiyamaTobias ZellwegerC. Blake Gilks
- Topics
- Bacterial Identification and Susceptibility Testing (4 papers)Salmonella and Campylobacter epidemiology (3 papers)Antimicrobial Resistance in Staphylococcus (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONECancer Research
- Partner nations
- IranCanadaUnited Kingdom
In The Last Decade
Majid Akbari
20 papers receiving 754 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 369
- Cancer Research 317
- Oncology 229
- Pulmonary and Respiratory Medicine 179
- Surgery 94
Countries citing papers authored by Majid Akbari
This map shows the geographic impact of Majid Akbari'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 Majid Akbari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Majid Akbari more than expected).
Fields of papers citing papers by Majid Akbari
This network shows the impact of papers produced by Majid Akbari. 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 Majid Akbari. The network helps show where Majid Akbari may publish in the future.
Co-authorship network of co-authors of Majid Akbari
This figure shows the co-authorship network connecting the top 25 collaborators of Majid Akbari. A scholar is included among the top collaborators of Majid Akbari 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 Majid Akbari. Majid Akbari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 23 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | Low Prevalence of Aeromonas hydrophilain Infectious Diarrhea Samples of Pediatric Patients in Arak, Iran. | 6 |
| 7 | 26 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | Total Phenol, Antioxidant and Antibacterial Activity of the Essential Oil and Extracts of Ferulago angulata ssp. angulata | 15 |
| 14 | Prevalence and antimicrobial susceptibility pattern of vancomycin resistant enterococci isolated from clinical sample of educational hospitals in Arak | 6 |
| 15 | 69 | |
| 16 | 11 | |
| 17 | 238 | |
| 18 | Castration-induced increases in insulin-like growth factor-binding protein 2 promotes proliferation of androgen-independent human prostate LNCaP tumors. | 93 |
| 19 | 146 | |
| 20 | 105 |
About Majid Akbari
Majid Akbari is a scholar working on Endocrinology, Clinical Biochemistry and Applied Microbiology and Biotechnology, having authored 21 papers that have together received 770 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (4 papers), Salmonella and Campylobacter epidemiology (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Cancer Research (317 citations), Oncology (229 citations) and Molecular Medicine (34 citations). Majid Akbari has collaborated with scholars based in Iran, Canada and United Kingdom. Frequent co-authors include Martin Gleave, Colleen C. Nelson, Susan Ettinger, Richard Sobel, Hideaki Miyake, Satoshi Kiyama, Tobias Zellweger, C. Blake Gilks, Robin Parker and David G. Huntsman. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.
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.