Mohammad Khalid Zakaria
- Infectious Diseases top 10%
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Epidemiology
- Genetics
- Co-authors
- Alessandro MarcelloTea CarlettiDanilo LicastroLaura RealeAnkit KumarMohit NarangSujatha SunilRajni Gaind
- Topics
- Virus-based gene therapy research (5 papers)Mosquito-borne diseases and control (5 papers)Viral Infections and Vectors (3 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaBiochemical and Biophysical Research Communications
- Partner nations
- ItalyIndiaUnited Kingdom
In The Last Decade
Mohammad Khalid Zakaria
14 papers receiving 249 citations
Peers
Comparison fields: 5 of 67
- Infectious Diseases 138
- Public Health, Environmental and Occupational Health 127
- Molecular Biology 53
- Epidemiology 38
- Genetics 25
Countries citing papers authored by Mohammad Khalid Zakaria
This map shows the geographic impact of Mohammad Khalid Zakaria'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 Mohammad Khalid Zakaria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Khalid Zakaria more than expected).
Fields of papers citing papers by Mohammad Khalid Zakaria
This network shows the impact of papers produced by Mohammad Khalid Zakaria. 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 Mohammad Khalid Zakaria. The network helps show where Mohammad Khalid Zakaria may publish in the future.
Co-authorship network of co-authors of Mohammad Khalid Zakaria
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Khalid Zakaria. A scholar is included among the top collaborators of Mohammad Khalid Zakaria 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 Mohammad Khalid Zakaria. Mohammad Khalid Zakaria is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 43 | |
| 3 | 28 | |
| 4 | 41 | |
| 5 | 24 | |
| 6 | 11 | |
| 7 | 40 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 3 | |
| 13 | 23 | |
| 14 | Poxvirus infection in a rat (Rattus norvegicus) in Kuwait. | 4 |
About Mohammad Khalid Zakaria
Mohammad Khalid Zakaria is a scholar working on Virology, Infectious Diseases and Hepatology, having authored 14 papers that have together received 254 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Mosquito-borne diseases and control (5 papers) and Viral Infections and Vectors (3 papers). The work is most often cited by research in Infectious Diseases (138 citations), Public Health, Environmental and Occupational Health (127 citations) and Virology (16 citations). Mohammad Khalid Zakaria has collaborated with scholars based in Italy, India and United Kingdom. Frequent co-authors include Alessandro Marcello, Tea Carletti, Danilo Licastro, Laura Reale, Ankit Kumar, Mohit Narang, Sujatha Sunil, Rajni Gaind, Jaspreet Jain and Navjot Kaur. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Biochemical and Biophysical Research Communications.
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.