Maged Gomaa Hemida
- Infectious Diseases top 1%
- Animal Science and Zoology top 0.5%
- Molecular Biology
- Modeling and Simulation top 1%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Abdelmohsen AlnaeemMalik PeirisRanawaka A. P. M. PereraLeo L. M. PoonAyman MubarakWael AlturaikiDecheng YangDaniel K. W. Chu
- Topics
- SARS-CoV-2 and COVID-19 Research (31 papers)Animal Virus Infections Studies (31 papers)Viral gastroenteritis research and epidemiology (25 papers)
- Partner nations
- Saudi ArabiaEgyptUnited States
In The Last Decade
Maged Gomaa Hemida
71 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 102
- Infectious Diseases 1.3k
- Animal Science and Zoology 604
- Molecular Biology 334
- Modeling and Simulation 281
- Cardiology and Cardiovascular Medicine 171
Countries citing papers authored by Maged Gomaa Hemida
This map shows the geographic impact of Maged Gomaa Hemida'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 Maged Gomaa Hemida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maged Gomaa Hemida more than expected).
Fields of papers citing papers by Maged Gomaa Hemida
This network shows the impact of papers produced by Maged Gomaa Hemida. 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 Maged Gomaa Hemida. The network helps show where Maged Gomaa Hemida may publish in the future.
Co-authorship network of co-authors of Maged Gomaa Hemida
This figure shows the co-authorship network connecting the top 25 collaborators of Maged Gomaa Hemida. A scholar is included among the top collaborators of Maged Gomaa Hemida 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 Maged Gomaa Hemida. Maged Gomaa Hemida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 15 | |
| 10 | 13 | |
| 11 | 8 | |
| 12 | 63 | |
| 13 | 1 | |
| 14 | 30 | |
| 15 | 28 | |
| 16 | 45 | |
| 17 | Detection and Molecular Characterization of Group D Avian Rotavirus in Kafrelsheikh and Gharbia Governorates | 4 |
| 18 | 18 | |
| 19 | 24 | |
| 20 | 54 |
About Maged Gomaa Hemida
Maged Gomaa Hemida is a scholar working on Animal Science and Zoology, Infectious Diseases and Modeling and Simulation, having authored 73 papers that have together received 1.8k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (31 papers), Animal Virus Infections Studies (31 papers) and Viral gastroenteritis research and epidemiology (25 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Modeling and Simulation (281 citations) and Animal Science and Zoology (604 citations). Maged Gomaa Hemida has collaborated with scholars based in Saudi Arabia, Egypt and United States. Frequent co-authors include Abdelmohsen Alnaeem, Malik Peiris, Ranawaka A. P. M. Perera, Leo L. M. Poon, Ayman Mubarak, Wael Alturaiki, Decheng Yang, Daniel K. W. Chu, Xin Ye and Lewis Siu. Their work appears in journals such as PLoS ONE, Scientific Reports and Cell Death and Differentiation.
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.