Moyad Shahwan
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Pharmacology top 5%
- Epidemiology top 10%
- Physiology top 10%
- Co-authors
- Md Tabish RehmanAmmar Abdulrahman JairounGhazala MuteebMohammad AatifAnas ShamsiSa’ed H. ZyoudFahad A. AlhumaydhiMd. Imtaiyaz Hassan
- Topics
- Computational Drug Discovery Methods (32 papers)Pharmaceutical Practices and Patient Outcomes (15 papers)Alzheimer's disease research and treatments (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- 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
- Molecular Biology 934
- Endocrinology, Diabetes and Metabolism 318
- Pharmacology 275
- Epidemiology 265
- Physiology 248
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 of co-authors of Moyad Shahwan
This figure shows the co-authorship network connecting the top 25 collaborators of Moyad Shahwan. A scholar is included among the top collaborators of Moyad Shahwan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Moyad Shahwan. Moyad Shahwan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 3 | |
| 16 | 10 | |
| 17 | 10 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 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) and Alzheimer's disease research and treatments (13 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.