Moyad Shahwan
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- Antibiotic Use and Resistance 11
- Molecular Medicine top 5%
- Geriatrics and Gerontology top 5%
- Pharmaceutical Practices and Patient Outcomes 15
- Biochemistry top 5%
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- Diabetes, Cardiovascular Risks, and Lipoproteins 10
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- Computational Drug Discovery Methods 32
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- Alzheimer's disease research and treatments 13
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- Cholinesterase and Neurodegenerative Diseases 11
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- Cancer-related molecular mechanisms research 10
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- Protein Interaction Studies and Fluorescence Analysis 8
- Co-authors
- Md Tabish RehmanAmmar Abdulrahman JairounGhazala MuteebMohammad AatifAnas ShamsiSa’ed H. ZyoudFahad A. AlhumaydhiMd. Imtaiyaz Hassan
- Partner nations
- United Arab EmiratesSaudi ArabiaIndia
In The Last Decade
Moyad Shahwan
219 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Applied Microbiology and Biotechnology 193
- Molecular Medicine 170
- Geriatrics and Gerontology 86
- Biochemistry 122
- Endocrinology, Diabetes and Metabolism 318
Countries citing papers authored by Moyad Shahwan
This map shows the geographic impact of Moyad Shahwan'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 Moyad Shahwan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moyad Shahwan more than expected).
Fields of papers citing papers by Moyad Shahwan
This network shows the impact of papers produced by Moyad Shahwan. 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 Moyad Shahwan. The network helps show where Moyad Shahwan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Moyad Shahwan, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 9 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 5 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2023 | 2 |
About Moyad Shahwan
Moyad Shahwan is a scholar working on Applied Microbiology and Biotechnology, Geriatrics and Gerontology and Computational Theory and Mathematics, having authored 243 papers that have together received 3.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (32 papers), Pharmaceutical Practices and Patient Outcomes (15 papers), Alzheimer's disease research and treatments (13 papers), Antibiotic Use and Resistance (11 papers), Cholinesterase and Neurodegenerative Diseases (11 papers), Cancer-related molecular mechanisms research (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers) and Protein Interaction Studies and Fluorescence Analysis (8 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (193 citations), Molecular Medicine (170 citations) and Geriatrics and Gerontology (86 citations). Moyad Shahwan has collaborated with scholars based in United Arab Emirates, Saudi Arabia and India. Frequent co-authors include Md Tabish Rehman, Ammar Abdulrahman Jairoun, Ghazala Muteeb, Mohammad Aatif, Anas Shamsi, Sa’ed H. Zyoud, Fahad A. Alhumaydhi, Md. Imtaiyaz Hassan, Mohd Shahnawaz Khan and Nageeb Hassan.
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.