Saif Ullah Munshi
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Infectious Diseases
- Epidemiology
- Hepatology top 10%
- Co-authors
- Shahid JameelMd Nazmul KarimBharat Bhushan RewariMd Shah AlamNéel Sarovar BhaveshHarekrushna PandaPrasida HollaArifa Akram
- Topics
- Mosquito-borne diseases and control (6 papers)SARS-CoV-2 and COVID-19 Research (5 papers)SARS-CoV-2 detection and testing (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEPLoS neglected tropical diseases
- Partner nations
- BangladeshAustraliaUnited Kingdom
In The Last Decade
Saif Ullah Munshi
24 papers receiving 318 citations
Peers
Comparison fields: 5 of 70
- Public Health, Environmental and Occupational Health 114
- Molecular Biology 108
- Infectious Diseases 99
- Epidemiology 80
- Hepatology 52
Countries citing papers authored by Saif Ullah Munshi
This map shows the geographic impact of Saif Ullah Munshi'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 Saif Ullah Munshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saif Ullah Munshi more than expected).
Fields of papers citing papers by Saif Ullah Munshi
This network shows the impact of papers produced by Saif Ullah Munshi. 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 Saif Ullah Munshi. The network helps show where Saif Ullah Munshi may publish in the future.
Co-authorship network of co-authors of Saif Ullah Munshi
This figure shows the co-authorship network connecting the top 25 collaborators of Saif Ullah Munshi. A scholar is included among the top collaborators of Saif Ullah Munshi 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 Saif Ullah Munshi. Saif Ullah Munshi 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 27 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | Development of a cheap and simple artificial feeding device for studying dengue virus transmission in Aedes aegypti mosquito at the resource-poor setups | 3 |
| 14 | 21 | |
| 15 | 1 | |
| 16 | 67 | |
| 17 | 40 | |
| 18 | Climatic factors influencing dengue cases in Dhaka city: a model for dengue prediction. | 81 |
| 19 | 26 | |
| 20 | 1 |
About Saif Ullah Munshi
Saif Ullah Munshi is a scholar working on Virology, Hepatology and Infectious Diseases, having authored 27 papers that have together received 324 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and SARS-CoV-2 detection and testing (5 papers). The work is most often cited by research in Virology (41 citations), Modeling and Simulation (39 citations) and Hepatology (52 citations). Saif Ullah Munshi has collaborated with scholars based in Bangladesh, Australia and United Kingdom. Frequent co-authors include Shahid Jameel, Md Nazmul Karim, Bharat Bhushan Rewari, Md Shah Alam, Néel Sarovar Bhavesh, Harekrushna Panda, Prasida Holla, Arifa Akram, Rakesh Aggarwal and Jayanthi Shastri. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLoS neglected tropical diseases.
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.