Mohammad Y. Alshahrani
- Internal Medicine top 5%
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 7
- Fractional Differential Equations Solutions 6
- Rehabilitation top 5%
- Drug Discovery top 5%
- Biochemistry top 5%
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- Moringa oleifera research and applications 8
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- Essential Oils and Antimicrobial Activity 8
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- Computational Drug Discovery Methods 7
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- SARS-CoV-2 and COVID-19 Research 7
- Tuberculosis Research and Epidemiology 6
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- Mathematical and Theoretical Epidemiology and Ecology Models 7
- Co-authors
- Irfan AhmadAhmad O. BabalghithSaiful IslamMd. Rabiul IslamArpita RoyBodour S. RajabSaad AlghamdiAriba Khan
- Journals
- JAMA (1 paper)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)
- Partner nations
- Saudi ArabiaIndiaEgypt
In The Last Decade
Mohammad Y. Alshahrani
108 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Internal Medicine 107
- Modeling and Simulation 121
- Rehabilitation 135
- Drug Discovery 3
- Biochemistry 93
Countries citing papers authored by Mohammad Y. Alshahrani
This map shows the geographic impact of Mohammad Y. Alshahrani'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 Y. Alshahrani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Y. Alshahrani more than expected).
Fields of papers citing papers by Mohammad Y. Alshahrani
This network shows the impact of papers produced by Mohammad Y. Alshahrani. 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 Y. Alshahrani. The network helps show where Mohammad Y. Alshahrani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohammad Y. Alshahrani, 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 | 2024 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 8 | |
| 10 | 2022 | 25 | |
| 11 | 2022 | 27 | |
| 12 | 2022 | 13 | |
| 13 | 2021 | 14 | |
| 14 | 2021 | 21 | |
| 15 | 2021 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2021 | 10 | |
| 18 | 2020 | 8 | |
| 19 | 2020 | 26 | |
| 20 | 2020 | 7 |
About Mohammad Y. Alshahrani
Mohammad Y. Alshahrani is a scholar working on Modeling and Simulation, Applied Microbiology and Biotechnology and Pharmacology, having authored 119 papers that have together received 2.0k indexed citations. Recurring topics across this work include Moringa oleifera research and applications (8 papers), Essential Oils and Antimicrobial Activity (8 papers), Computational Drug Discovery Methods (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 epidemiological studies (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Fractional Differential Equations Solutions (6 papers) and Tuberculosis Research and Epidemiology (6 papers). The work is most often cited by research in Internal Medicine (107 citations), Modeling and Simulation (121 citations) and Rehabilitation (135 citations). Mohammad Y. Alshahrani has collaborated with scholars based in Saudi Arabia, India and Egypt. Frequent co-authors include Irfan Ahmad, Ahmad O. Babalghith, Saiful Islam, Md. Rabiul Islam, Arpita Roy, Bodour S. Rajab, Saad Alghamdi, Ariba Khan, Shadma Wahab and Muhammad Altaf Khan. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and PLoS ONE.
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.