Tahir Khan
- Modeling and Simulation top 0.5%
- Public Health, Environmental and Occupational Health top 5%
- Epidemiology
- Infectious Diseases
- Genetics
- Co-authors
- Gul ZamanYongjin LiAnwarud DinAmir KhanYoussef El‐KhatibNiaz AliZakir UllahWajahat Ali Khan
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (22 papers)COVID-19 epidemiological studies (17 papers)Hepatitis B Virus Studies (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- PakistanUnited Arab EmiratesSaudi Arabia
In The Last Decade
Tahir Khan
30 papers receiving 742 citations
Peers
Comparison fields: 5 of 75
- Modeling and Simulation 582
- Public Health, Environmental and Occupational Health 541
- Epidemiology 177
- Infectious Diseases 114
- Genetics 113
Countries citing papers authored by Tahir Khan
This map shows the geographic impact of Tahir Khan'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 Tahir Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tahir Khan more than expected).
Fields of papers citing papers by Tahir Khan
This network shows the impact of papers produced by Tahir Khan. 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 Tahir Khan. The network helps show where Tahir Khan may publish in the future.
Co-authorship network of co-authors of Tahir Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Tahir Khan. A scholar is included among the top collaborators of Tahir Khan 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 Tahir Khan. Tahir Khan 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 19 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 15 | |
| 9 | 35 | |
| 10 | 25 | |
| 11 | 36 | |
| 12 | 118 | |
| 13 | 25 | |
| 14 | Prevention Strategies for Mathematical Model MERS-Corona Virus with Stability Analysis and Optimal Control | 9 |
| 15 | 16 | |
| 16 | 13 | |
| 17 | 13 | |
| 18 | 20 | |
| 19 | 11 | |
| 20 | 41 |
About Tahir Khan
Tahir Khan is a scholar working on Modeling and Simulation, Hepatology and Public Health, Environmental and Occupational Health, having authored 31 papers that have together received 765 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (22 papers), COVID-19 epidemiological studies (17 papers) and Hepatitis B Virus Studies (12 papers). The work is most often cited by research in Modeling and Simulation (582 citations), Public Health, Environmental and Occupational Health (541 citations) and Hepatology (64 citations). Tahir Khan has collaborated with scholars based in Pakistan, United Arab Emirates and Saudi Arabia. Frequent co-authors include Gul Zaman, Gul Zaman, Yongjin Li, Anwarud Din, Amir Khan, Youssef El‐Khatib, Niaz Ali, Zakir Ullah, Wajahat Ali Khan and Fathalla A. Rihan. 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.