Sheikh Taslim Ali
- Modeling and Simulation top 0.1%
- Infectious Diseases top 2%
- Epidemiology top 5%
- Economics and Econometrics top 2%
- Clinical Psychology top 5%
- Co-authors
- Benjamin J. CowlingGM LeungPeng WuEric H. Y. LauTim K. TsangQiuyan LiaoSusan S. ChiuMin Whui Fong
- Topics
- COVID-19 epidemiological studies (36 papers)SARS-CoV-2 and COVID-19 Research (13 papers)Influenza Virus Research Studies (13 papers)
- Partner nations
- Hong KongChinaSouth Korea
In The Last Decade
Sheikh Taslim Ali
43 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Modeling and Simulation 1.3k
- Infectious Diseases 890
- Epidemiology 633
- Economics and Econometrics 381
- Clinical Psychology 323
Countries citing papers authored by Sheikh Taslim Ali
This map shows the geographic impact of Sheikh Taslim Ali'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 Sheikh Taslim Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheikh Taslim Ali more than expected).
Fields of papers citing papers by Sheikh Taslim Ali
This network shows the impact of papers produced by Sheikh Taslim Ali. 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 Sheikh Taslim Ali. The network helps show where Sheikh Taslim Ali may publish in the future.
Co-authorship network of co-authors of Sheikh Taslim Ali
This figure shows the co-authorship network connecting the top 25 collaborators of Sheikh Taslim Ali. A scholar is included among the top collaborators of Sheikh Taslim Ali 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 Sheikh Taslim Ali. Sheikh Taslim Ali 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 | 1 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 6 | |
| 6 | 22 | |
| 7 | 18 | |
| 8 | 25 | |
| 9 | 4 | |
| 10 | 66 | |
| 11 | 57 | |
| 12 | 11 | |
| 13 | 56 | |
| 14 | 37 | |
| 15 | 217 | |
| 16 | 17 | |
| 17 | 5 | |
| 18 | Stochastic Modelling: An Approach to Quantify the Transmission Intensity of Pandemic Influenza (H1N1) in Maharashtra | 0 |
| 19 | 29 | |
| 20 | 0 |
About Sheikh Taslim Ali
Sheikh Taslim Ali is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 46 papers that have together received 2.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (36 papers), SARS-CoV-2 and COVID-19 Research (13 papers) and Influenza Virus Research Studies (13 papers). The work is most often cited by research in Modeling and Simulation (1.3k citations), Infectious Diseases (890 citations) and Health (181 citations). Sheikh Taslim Ali has collaborated with scholars based in Hong Kong, China and South Korea. Frequent co-authors include Benjamin J. Cowling, GM Leung, Peng Wu, Eric H. Y. Lau, Tim K. Tsang, Qiuyan Liao, Susan S. Chiu, Min Whui Fong, Joseph T. Wu and Mike Yat Wah Kwan. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature 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.