Mohammed A. Dahab
About
In The Last Decade
Mohammed A. Dahab
35 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Organic Chemistry 639
- Molecular Biology 550
- Toxicology 197
- Oncology 182
- Computational Theory and Mathematics 174
Countries citing papers authored by Mohammed A. Dahab
This map shows the geographic impact of Mohammed A. Dahab'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 Mohammed A. Dahab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed A. Dahab more than expected).
Fields of papers citing papers by Mohammed A. Dahab
This network shows the impact of papers produced by Mohammed A. Dahab. 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 Mohammed A. Dahab. The network helps show where Mohammed A. Dahab may publish in the future.
Co-authorship network of co-authors of Mohammed A. Dahab
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed A. Dahab. A scholar is included among the top collaborators of Mohammed A. Dahab 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 Mohammed A. Dahab. Mohammed A. Dahab 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 | 13 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 16 | |
| 8 | 16 | |
| 9 | 24 | |
| 10 | 4 | |
| 11 | 13 | |
| 12 | 58 | |
| 13 | 51 | |
| 14 | 17 | |
| 15 | 43 | |
| 16 | 32 | |
| 17 | Molecular Docking and Dynamics Simulation Revealed the Potential Inhibitory Activity of ACEIs Against SARS-CoV-2 Targeting the hACE2 Receptor breakdown → | 209 |
| 18 | 112 | |
| 19 | 95 | |
| 20 | 14 |
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.