Mohammad Nayeem Hasan
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 12
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research 5
- Viral Infections and Vectors 4
- Viral Infections and Outbreaks Research 3
- Virology top 10%
- Poxvirus research and outbreaks 4
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- Mosquito-borne diseases and control 11
- Malaria Research and Control 6
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- Child Nutrition and Water Access 3
- Co-authors
- Md Jamal UddinNajmul HaiderProsun BhattacharyaMd. Aminul IslamAlimuddin ZumlaRichard KockSarawut SangkhamAnanda Tiwari
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (2 papers)Environmental Pollution (1 paper)
- Partner nations
- BangladeshUnited KingdomUnited States
In The Last Decade
Mohammad Nayeem Hasan
42 papers receiving 547 citations
Peers
Comparison fields: 5 of 106
- Modeling and Simulation 134
- Infectious Diseases 218
- Virology 51
- Public Health, Environmental and Occupational Health 146
- Health 40
Countries citing papers authored by Mohammad Nayeem Hasan
This map shows the geographic impact of Mohammad Nayeem Hasan'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 Nayeem Hasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Nayeem Hasan more than expected).
Fields of papers citing papers by Mohammad Nayeem Hasan
This network shows the impact of papers produced by Mohammad Nayeem Hasan. 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 Nayeem Hasan. The network helps show where Mohammad Nayeem Hasan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohammad Nayeem Hasan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 6 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 11 | |
| 6 | 2024 | 11 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 29 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 6 | |
| 15 | 2022 | 2 | |
| 16 | 2022 | 11 | |
| 17 | 2021 | 8 | |
| 18 | 2021 | 15 | |
| 19 | 2020 | 18 | |
| 20 | 2020 | 70 |
About Mohammad Nayeem Hasan
Mohammad Nayeem Hasan is a scholar working on Modeling and Simulation, Virology and Infectious Diseases, having authored 46 papers that have together received 568 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (12 papers), Mosquito-borne diseases and control (11 papers), Malaria Research and Control (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Viral Infections and Vectors (4 papers), Poxvirus research and outbreaks (4 papers), Child Nutrition and Water Access (3 papers) and Viral Infections and Outbreaks Research (3 papers). The work is most often cited by research in Modeling and Simulation (134 citations), Infectious Diseases (218 citations) and Virology (51 citations). Mohammad Nayeem Hasan has collaborated with scholars based in Bangladesh, United Kingdom and United States. Frequent co-authors include Md Jamal Uddin, Najmul Haider, Prosun Bhattacharya, Md. Aminul Islam, Alimuddin Zumla, Richard Kock, Sarawut Sangkham, Ananda Tiwari, Muhammad Abdul Baker Chowdhury and Francine Ntoumi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Environmental Pollution.
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.