Ashaq Ali
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Geometry and Topology top 5%
- Graph theory and applications
Papers in
-
- COVID-19 Clinical Research Studies 8
- SARS-CoV-2 and COVID-19 Research 8
-
- Graph theory and applications 8
- Co-authors
- Suliman Khan (10 shared papers)Rabeea Siddique (6 shared papers)Muhammad Adnan Shereen (4 shared papers)Nadia Bashir (3 shared papers)Mengzhou Xue (2 shared papers)Mengzhou Xue (3 shared papers)Qian Bai (2 shared papers)Ghulam Nabi (5 shared papers)
- Journals
- Saudi Journal of Biological Sciences (2 papers)BMC Veterinary Research (1 paper)PLoS ONE (1 paper)Journal of Biomolecular Structure and Dynamics (1 paper)Journal of Global Health (1 paper)
- Partner nations
- ChinaPakistanSaudi Arabia
In The Last Decade
Ashaq Ali
37 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 140
- Infectious Diseases 273
- Geometry and Topology 82
- Modeling and Simulation 39
- Complementary and alternative medicine 63
- Computational Theory and Mathematics 117
Countries citing papers authored by Ashaq Ali
This map shows the geographic impact of Ashaq Ali'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 Ashaq Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashaq Ali more than expected).
Fields of papers citing papers by Ashaq Ali
This network shows the impact of papers produced by Ashaq Ali. 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 Ashaq Ali. The network helps show where Ashaq Ali may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashaq Ali, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 202 | |
| 2 | 2020 | 169 | |
| 3 | 2020 | 99 | |
| 4 | 2020 | 63 | |
| 5 | 2018 | 57 | |
| 6 | 2020 | 49 | |
| 7 | 2020 | 42 | |
| 8 | 2020 | 36 | |
| 9 | 2018 | 35 | |
| 10 | 2019 | 35 | |
| 11 | 2020 | 33 | |
| 12 | 2021 | 28 | |
| 13 | 2023 | 26 | |
| 14 | 2018 | 23 | |
| 15 | 2020 | 23 | |
| 16 | 2021 | 22 | |
| 17 | 2023 | 19 | |
| 18 | 2010 | 18 | |
| 19 | 2010 | 18 | |
| 20 | 2021 | 11 |
About Ashaq Ali
Ashaq Ali is a scholar working on Infectious Diseases, Geometry and Topology, Computational Theory and Mathematics, Molecular Biology and Organic Chemistry, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), Graph theory and applications (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Computational Drug Discovery Methods (5 papers), Long-Term Effects of COVID-19 (4 papers), Free Radicals and Antioxidants (4 papers), COVID-19 epidemiological studies (3 papers) and Biosensors and Analytical Detection (3 papers). The work is most often cited by research in Infectious Diseases (273 citations), Geometry and Topology (82 citations), Modeling and Simulation (39 citations), Complementary and alternative medicine (63 citations) and Computational Theory and Mathematics (117 citations). Ashaq Ali has collaborated with scholars based in China, Pakistan and Saudi Arabia. Frequent co-authors include Suliman Khan, Rabeea Siddique, Muhammad Adnan Shereen, Nadia Bashir, Mengzhou Xue, Mengzhou Xue, Qian Bai, Ghulam Nabi, Hongmin Li and Jianbo Liu. Their work appears in journals such as Saudi Journal of Biological Sciences, BMC Veterinary Research, PLoS ONE, Journal of Biomolecular Structure and Dynamics and Journal of Global Health.
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.