Mohammad Mehedi Hasan
- Infectious Diseases top 5%
- Molecular Biology
- Modeling and Simulation top 1%
- Public Health, Environmental and Occupational Health top 10%
- Epidemiology
- Co-authors
- Shabana BibiMohammad Yasir EssarAna Carla dos Santos CostaShoaib AhmadSimona CavaluHitesh ChopraShubhika JainAbdullahi Tunde Aborode
- Topics
- COVID-19 epidemiological studies (23 papers)Viral Infections and Outbreaks Research (15 papers)SARS-CoV-2 and COVID-19 Research (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEInternational Journal of Molecular Sciences
- Partner nations
- BangladeshPakistanIndia
In The Last Decade
Mohammad Mehedi Hasan
118 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Infectious Diseases 457
- Molecular Biology 415
- Modeling and Simulation 200
- Public Health, Environmental and Occupational Health 195
- Epidemiology 167
Countries citing papers authored by Mohammad Mehedi Hasan
This map shows the geographic impact of Mohammad Mehedi 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 Mehedi 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 Mehedi Hasan more than expected).
Fields of papers citing papers by Mohammad Mehedi Hasan
This network shows the impact of papers produced by Mohammad Mehedi 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 Mehedi Hasan. The network helps show where Mohammad Mehedi Hasan may publish in the future.
Co-authorship network of co-authors of Mohammad Mehedi Hasan
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Mehedi Hasan. A scholar is included among the top collaborators of Mohammad Mehedi Hasan 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 Mehedi Hasan. Mohammad Mehedi Hasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 122 | |
| 3 | 22 | |
| 4 | 27 | |
| 5 | 14 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 54 | |
| 12 | 22 | |
| 13 | 8 | |
| 14 | 37 | |
| 15 | 19 | |
| 16 | 4 | |
| 17 | 21 | |
| 18 | 5 | |
| 19 | 5 | |
| 20 | 1 |
About Mohammad Mehedi Hasan
Mohammad Mehedi Hasan is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 124 papers that have together received 2.0k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (23 papers), Viral Infections and Outbreaks Research (15 papers) and SARS-CoV-2 and COVID-19 Research (12 papers). The work is most often cited by research in Modeling and Simulation (200 citations), Infectious Diseases (457 citations) and Applied Microbiology and Biotechnology (37 citations). Mohammad Mehedi Hasan has collaborated with scholars based in Bangladesh, Pakistan and India. Frequent co-authors include Shabana Bibi, Mohammad Yasir Essar, Ana Carla dos Santos Costa, Shoaib Ahmad, Simona Cavalu, Hitesh Chopra, Shubhika Jain, Abdullahi Tunde Aborode, Partha Biswas and Dipta Dey. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.
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.