Anwar Mohammad
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Physiology top 5%
- Physical Activity and Health
Papers in
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- SARS-CoV-2 and COVID-19 Research 18
-
- Computational Drug Discovery Methods 13
- Co-authors
- Dong‐Qing Wei (23 shared papers)Syed Shujait Ali (11 shared papers)Muhammad Suleman (10 shared papers)Søren Brage (2 shared papers)Jehad Ahmed Abubaker (26 shared papers)Abbas Khan (7 shared papers)Fahd Al‐Mulla (25 shared papers)Inácio Crochemore‐Silva (1 shared paper)
In The Last Decade
Anwar Mohammad
62 papers receiving 1.8k citations
Anwar Mohammad's Hit Papers
Peers
Comparison fields: 5 of 109
- Infectious Diseases 723
- Physiology 393
- Computational Theory and Mathematics 176
- Obstetrics and Gynecology 38
- Endocrinology, Diabetes and Metabolism 62
Countries citing papers authored by Anwar Mohammad
This map shows the geographic impact of Anwar Mohammad'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 Anwar Mohammad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anwar Mohammad more than expected).
Fields of papers citing papers by Anwar Mohammad
This network shows the impact of papers produced by Anwar Mohammad. 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 Anwar Mohammad. The network helps show where Anwar Mohammad may publish in the future.
Co-authors
The 25 scholars most cited alongside Anwar Mohammad, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: an evaluation on four continents Hit paper breakdown → | 2014 | 512 |
| 2 | Higher infectivity of the SARS‐CoV‐2 new variants is associated with K417N/T, E484K, and N501Y mutants: An insight from structural data Hit paper breakdown → | 2021 | 293 |
| 3 | 2021 | 83 | |
| 4 | 2022 | 73 | |
| 5 | 2021 | 69 | |
| 6 | 2017 | 61 | |
| 7 | 2021 | 61 | |
| 8 | 2021 | 59 | |
| 9 | 2021 | 51 | |
| 10 | 2021 | 48 | |
| 11 | 2020 | 42 | |
| 12 | 2021 | 37 | |
| 13 | 2020 | 36 | |
| 14 | 2021 | 34 | |
| 15 | 2019 | 32 | |
| 16 | 2021 | 30 | |
| 17 | 2022 | 29 | |
| 18 | 2020 | 20 | |
| 19 | 2021 | 19 | |
| 20 | 2022 | 19 |
About Anwar Mohammad
Anwar Mohammad is a scholar working on Infectious Diseases, Computational Theory and Mathematics, Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology, having authored 65 papers that have together received 1.8k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (18 papers), Computational Drug Discovery Methods (13 papers), Genetic Associations and Epidemiology (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Protein Structure and Dynamics (5 papers), vaccines and immunoinformatics approaches (5 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Body Composition Measurement Techniques (2 papers). The work is most often cited by research in Infectious Diseases (723 citations), Physiology (393 citations), Computational Theory and Mathematics (176 citations), Obstetrics and Gynecology (38 citations) and Endocrinology, Diabetes and Metabolism (62 citations). Anwar Mohammad has collaborated with scholars based in Kuwait, China and Pakistan. Frequent co-authors include Dong‐Qing Wei, Syed Shujait Ali, Muhammad Suleman, Søren Brage, Jehad Ahmed Abubaker, Abbas Khan, Fahd Al‐Mulla, Inácio Crochemore‐Silva, Zhou Fang and Joss Langford. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Computers in Biology and Medicine, Pharmaceuticals, Biomolecules and Nutrition and Diabetes.
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.