Muhammad Saqib Sohail
- Virology top 10%
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- SARS-CoV-2 and COVID-19 Research 6
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- Blind Source Separation Techniques 5
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- Wireless Communication Networks Research 5
- Wireless Networks and Protocols 3
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- Advanced Adaptive Filtering Techniques 5
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- vaccines and immunoinformatics approaches 5
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- Advanced Wireless Communication Techniques 4
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- COVID-19 epidemiological studies 2
- Co-authors
- Matthew R. McKayAhmed Abdul QuadeerSyed Faraz AhmedTareq Y. Al-NaffouriJohn P. BartonRaymond H. Y. LouieMuhammad MoinuddinWeiyu Xu
- Journals
- Molecular Biology and Evolution (2 papers)Viruses (2 papers)Nature Communications (1 paper)
- Partner nations
- Hong KongSaudi ArabiaAustralia
In The Last Decade
Muhammad Saqib Sohail
21 papers receiving 240 citations
Peers
Comparison fields: 5 of 48
- Virology 59
- Infectious Diseases 69
- Immunology 46
- Signal Processing 23
- Computer Networks and Communications 42
Countries citing papers authored by Muhammad Saqib Sohail
This map shows the geographic impact of Muhammad Saqib Sohail'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 Saqib Sohail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Saqib Sohail more than expected).
Fields of papers citing papers by Muhammad Saqib Sohail
This network shows the impact of papers produced by Muhammad Saqib Sohail. 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 Saqib Sohail. The network helps show where Muhammad Saqib Sohail may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Muhammad Saqib Sohail, 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 | 9 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 11 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 55 | |
| 8 | 2021 | 52 | |
| 9 | 2020 | 25 | |
| 10 | 2020 | 4 | |
| 11 | 2020 | 0 | |
| 12 | 2020 | 4 | |
| 13 | 2016 | 4 | |
| 14 | 2013 | 2 | |
| 15 | 2013 | 2 | |
| 16 | 2012 | 15 | |
| 17 | 2012 | 2 | |
| 18 | 2012 | 9 | |
| 19 | 2010 | 12 | |
| 20 | 2010 | 10 |
About Muhammad Saqib Sohail
Muhammad Saqib Sohail is a scholar working on Signal Processing, Modeling and Simulation, Virology, Infectious Diseases and Computer Networks and Communications, having authored 23 papers that have together received 250 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Advanced Adaptive Filtering Techniques (5 papers), Blind Source Separation Techniques (5 papers), vaccines and immunoinformatics approaches (5 papers), Wireless Communication Networks Research (5 papers), Advanced Wireless Communication Techniques (4 papers), Wireless Networks and Protocols (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Virology (59 citations), Infectious Diseases (69 citations), Immunology (46 citations), Signal Processing (23 citations) and Computer Networks and Communications (42 citations). Muhammad Saqib Sohail has collaborated with scholars based in Hong Kong, Saudi Arabia and Australia. Frequent co-authors include Matthew R. McKay, Ahmed Abdul Quadeer, Syed Faraz Ahmed, Tareq Y. Al-Naffouri, John P. Barton, Raymond H. Y. Louie, Muhammad Moinuddin, Weiyu Xu, Babak Hassibi and Asrar U. H. Sheikh. Their work appears in journals such as Molecular Biology and Evolution, Viruses, Nature Communications, Nature Biotechnology and Signal Processing.
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.