Mohammed Eid
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
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- Algal biology and biofuel production
Papers in
- Genetics 4
-
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 3
- Co-authors
- Wenbiao Jin (1 shared paper)Renjie Tu (1 shared paper)Hamed Eladel (1 shared paper)Abd El‐Fatah Abomohra (1 shared paper)Song-Fang Han (1 shared paper)Said M. Abdou (2 shared papers)Mohamed A. Attia (2 shared papers)Yehia A.‐G. Mahmoud (3 shared papers)
- Journals
- Nature (3 papers)Cell Reports (1 paper)Microbial Cell Factories (1 paper)Journal of Sol-Gel Science and Technology (1 paper)Odontology (1 paper)
- Partner nations
- EgyptUnited StatesItaly
In The Last Decade
Mohammed Eid
19 papers receiving 668 citations
Mohammed Eid's Hit Papers
Peers
Comparison fields: 5 of 105
- Infectious Diseases 206
- Renewable Energy, Sustainability and the Environment 114
- Immunology 104
- Hematology 36
- Modeling and Simulation 13
Countries citing papers authored by Mohammed Eid
This map shows the geographic impact of Mohammed Eid'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 Eid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Eid more than expected).
Fields of papers citing papers by Mohammed Eid
This network shows the impact of papers produced by Mohammed Eid. 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 Eid. The network helps show where Mohammed Eid may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammed Eid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Whole-genome sequencing reveals host factors underlying critical COVID-19 Hit paper breakdown → | 2022 | 228 |
| 2 | 2016 | 172 | |
| 3 | 2022 | 107 | |
| 4 | 2023 | 56 | |
| 5 | 2021 | 32 | |
| 6 | 2009 | 25 | |
| 7 | 2024 | 14 | |
| 8 | 2025 | 11 | |
| 9 | 2023 | 7 | |
| 10 | 2016 | 7 | |
| 11 | 2019 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2009 | 4 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2022 | 0 |
About Mohammed Eid
Mohammed Eid is a scholar working on Genetics, Infectious Diseases, Hematology, Hepatology and Immunology, having authored 24 papers that have together received 683 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (3 papers), interferon and immune responses (3 papers), Hepatitis C virus research (2 papers), Enzyme Catalysis and Immobilization (1 paper), Copper-based nanomaterials and applications (1 paper), Tracheal and airway disorders (1 paper) and Advanced Nanomaterials in Catalysis (1 paper). The work is most often cited by research in Infectious Diseases (206 citations), Renewable Energy, Sustainability and the Environment (114 citations), Immunology (104 citations), Hematology (36 citations) and Modeling and Simulation (13 citations). Mohammed Eid has collaborated with scholars based in Egypt, United States and Italy. Frequent co-authors include Wenbiao Jin, Renjie Tu, Hamed Eladel, Abd El‐Fatah Abomohra, Song-Fang Han, Said M. Abdou, Mohamed A. Attia, Yehia A.‐G. Mahmoud, El‐Refaie Kenawy and Maha M. Salem. Their work appears in journals such as Nature, Cell Reports, Microbial Cell Factories, Journal of Sol-Gel Science and Technology and Odontology.
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.