Mohammad A. Ghattas
- Molecular Biology
- Organic Chemistry top 10%
- Computational Theory and Mathematics top 5%
- Pharmacology
- Oncology
- Co-authors
- Noor AtatrehRichard A. BryceAlaa A. SalemJohn BowersShaikha S. AlNeyadiIbrahim M. AbdouMohamed LotfyAmr Amin
- Topics
- Computational Drug Discovery Methods (18 papers)Synthesis and biological activity (13 papers)Click Chemistry and Applications (6 papers)
- Partner nations
- United Arab EmiratesUnited KingdomJordan
In The Last Decade
Mohammad A. Ghattas
48 papers receiving 565 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 228
- Organic Chemistry 177
- Computational Theory and Mathematics 128
- Pharmacology 77
- Oncology 65
Countries citing papers authored by Mohammad A. Ghattas
This map shows the geographic impact of Mohammad A. Ghattas'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 A. Ghattas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad A. Ghattas more than expected).
Fields of papers citing papers by Mohammad A. Ghattas
This network shows the impact of papers produced by Mohammad A. Ghattas. 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 A. Ghattas. The network helps show where Mohammad A. Ghattas may publish in the future.
Co-authorship network of co-authors of Mohammad A. Ghattas
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad A. Ghattas. A scholar is included among the top collaborators of Mohammad A. Ghattas 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 Mohammad A. Ghattas. Mohammad A. Ghattas 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 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | Synthesis, Structural Elucidation, and Evaluation of Antimicrobial Activity of 5-Ethoxy-2-Mercaptobenzimidazole Derivatives | 1 |
| 17 | 18 | |
| 18 | 41 | |
| 19 | 17 | |
| 20 | 24 |
About Mohammad A. Ghattas
Mohammad A. Ghattas is a scholar working on Computational Theory and Mathematics, Toxicology and Organic Chemistry, having authored 52 papers that have together received 573 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Synthesis and biological activity (13 papers) and Click Chemistry and Applications (6 papers). The work is most often cited by research in Computational Theory and Mathematics (128 citations), Organic Chemistry (177 citations) and Toxicology (21 citations). Mohammad A. Ghattas has collaborated with scholars based in United Arab Emirates, United Kingdom and Jordan. Frequent co-authors include Noor Atatreh, Richard A. Bryce, Alaa A. Salem, John Bowers, Shaikha S. AlNeyadi, Ibrahim M. Abdou, Mohamed Lotfy, Amr Amin, Sawsan Abuhamdah and Sanaa K. Bardaweel. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.
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.