Muhammad Bashir Khan
Impact in
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- Computational Drug Discovery Methods
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- SARS-CoV-2 and COVID-19 Research 6
- Co-authors
- Elena Arutyunova (7 shared papers)Howard S. Young (8 shared papers)John C. Vederas (7 shared papers)M. Joanne Lemieux (8 shared papers)Tess Lamer (7 shared papers)Wayne Vuong (5 shared papers)Conrad Fischer (4 shared papers)D. Lorne Tyrrell (5 shared papers)
In The Last Decade
Muhammad Bashir Khan
43 papers receiving 981 citations
Peers
Comparison fields: 5 of 131
- Computational Theory and Mathematics 336
- Infectious Diseases 351
- Information Systems and Management 66
- Human Factors and Ergonomics 18
- Organizational Behavior and Human Resource Management 72
Countries citing papers authored by Muhammad Bashir Khan
This map shows the geographic impact of Muhammad Bashir 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 Muhammad Bashir Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Bashir Khan more than expected).
Fields of papers citing papers by Muhammad Bashir Khan
This network shows the impact of papers produced by Muhammad Bashir 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 Muhammad Bashir Khan. The network helps show where Muhammad Bashir Khan may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Bashir Khan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 346 | |
| 2 | 2011 | 94 | |
| 3 | 2022 | 79 | |
| 4 | Customer Acceptance of Online Banking in Developing Economies | 2008 | 77 |
| 5 | 2021 | 67 | |
| 6 | 1980 | 51 | |
| 7 | 2021 | 40 | |
| 8 | 2021 | 34 | |
| 9 | 2023 | 34 | |
| 10 | 2022 | 27 | |
| 11 | BT Cotton and its Impact on Cropping Pattern in Punjab | 2011 | 17 |
| 12 | 2023 | 16 | |
| 13 | 2019 | 15 | |
| 14 | 2013 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2013 | 13 | |
| 17 | 2023 | 13 | |
| 18 | 1980 | 11 | |
| 19 | 1990 | 10 | |
| 20 | 2021 | 10 |
About Muhammad Bashir Khan
Muhammad Bashir Khan is a scholar working on Molecular Biology, Infectious Diseases, Sociology and Political Science, Information Systems and Management and Nutrition and Dietetics, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Disaster Management and Resilience (3 papers), Job Satisfaction and Organizational Behavior (3 papers), Technology Adoption and User Behaviour (3 papers), Magnesium in Health and Disease (3 papers), Emotional Intelligence and Performance (2 papers), Personality Traits and Psychology (2 papers) and Agricultural Economics and Practices (2 papers). The work is most often cited by research in Computational Theory and Mathematics (336 citations), Infectious Diseases (351 citations), Information Systems and Management (66 citations), Human Factors and Ergonomics (18 citations) and Organizational Behavior and Human Resource Management (72 citations). Muhammad Bashir Khan has collaborated with scholars based in Pakistan, Canada and China. Frequent co-authors include Elena Arutyunova, Howard S. Young, John C. Vederas, M. Joanne Lemieux, Tess Lamer, Wayne Vuong, Conrad Fischer, D. Lorne Tyrrell, Michael Joyce and Marco J. van Belkum. Their work appears in journals such as Frontiers in Environmental Science, Planta Medica, Dyes and Pigments, ACS Central Science and Proceedings of the National Academy of 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.