Mahdi Tat
- Infectious Diseases top 5%
- Oncology
- Neurology top 10%
- Molecular Biology
- Modeling and Simulation top 5%
- Co-authors
- Ruhollah DorostkarMohammad Sadegh HashemzadehHadi Esmaeili Gouvarchin GhalehSoleyman HeydariGholam Hossein AlishiriGholamreza FarnooshAlireza ShahriaryMaryam Taghdir
- Topics
- Virus-based gene therapy research (3 papers)Viral gastroenteritis research and epidemiology (2 papers)SARS-CoV-2 and COVID-19 Research (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaFrontiers in ImmunologyEuropean Journal of Pharmacology
- Partner nations
- Iran
In The Last Decade
Mahdi Tat
20 papers receiving 577 citations
Peers
Comparison fields: 5 of 105
- Infectious Diseases 254
- Oncology 148
- Neurology 102
- Molecular Biology 85
- Modeling and Simulation 68
Countries citing papers authored by Mahdi Tat
This map shows the geographic impact of Mahdi Tat'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 Mahdi Tat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahdi Tat more than expected).
Fields of papers citing papers by Mahdi Tat
This network shows the impact of papers produced by Mahdi Tat. 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 Mahdi Tat. The network helps show where Mahdi Tat may publish in the future.
Co-authorship network of co-authors of Mahdi Tat
This figure shows the co-authorship network connecting the top 25 collaborators of Mahdi Tat. A scholar is included among the top collaborators of Mahdi Tat 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 Mahdi Tat. Mahdi Tat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 11 | |
| 4 | 26 | |
| 5 | 0 | |
| 6 | 32 | |
| 7 | 301 | |
| 8 | 2 | |
| 9 | 19 | |
| 10 | 2 | |
| 11 | Chemical composition and antibacterial properties of Ocimum basilicum, Salvia officinalis and Trachyspermum ammi essential oils alone and in combination with nisin | 19 |
| 12 | 1 | |
| 13 | 15 | |
| 14 | 9 | |
| 15 | 47 | |
| 16 | 7 | |
| 17 | 2 | |
| 18 | Molecular Recognition of Human Papilloma Virus (HPV) Using Proprietary PCR Method Based on L1 Gene and the Evaluation of its Frequency in Tissue Samples from Patients with Cervical Cancer | 0 |
| 19 | 1 | |
| 20 | Induction of Immune Response Against IpaD N-terminal Region of Shigella Dysenteriae in Guinea Pigs | 1 |
About Mahdi Tat
Mahdi Tat is a scholar working on Modeling and Simulation, Biological Psychiatry and Animal Science and Zoology, having authored 22 papers that have together received 597 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Modeling and Simulation (68 citations), Infectious Diseases (254 citations) and Neurology (102 citations). Mahdi Tat has collaborated with scholars based in Iran. Frequent co-authors include Ruhollah Dorostkar, Mohammad Sadegh Hashemzadeh, Hadi Esmaeili Gouvarchin Ghaleh, Soleyman Heydari, Gholam Hossein Alishiri, Gholamreza Farnoosh, Alireza Shahriary, Maryam Taghdir, Alireza Jalali Farahani and Mehdi Ebrahimnia. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and European Journal of Pharmacology.
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.