Reda Rawi
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
Papers in
- Virology 43
- HIV Research and Treatment 43
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- Monoclonal and Polyclonal Antibodies Research 9
- Co-authors
- Gwo‐Yu Chuang (16 shared papers)Raghvendra Mall (8 shared papers)Khalid B. Kunji (6 shared papers)Halima Bensmail (12 shared papers)Peter D. Kwong (22 shared papers)Chen‐Hsiang Shen (12 shared papers)Sameer Khurana (1 shared paper)Baoshan Zhang (13 shared papers)
- Journals
- Cell Reports (13 papers)Bioinformatics (7 papers)Immunity (5 papers)Nature Communications (4 papers)Structure (4 papers)
- Partner nations
- United StatesQatarUnited Kingdom
In The Last Decade
Reda Rawi
76 papers receiving 2.5k citations
Reda Rawi's Hit Papers
Peers
Comparison fields: 5 of 71
- Virology 1.1k
- Infectious Diseases 582
- Structural Biology 20
- Molecular Biology 521
- Radiology, Nuclear Medicine and Imaging 169
Countries citing papers authored by Reda Rawi
This map shows the geographic impact of Reda Rawi'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 Reda Rawi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reda Rawi more than expected).
Fields of papers citing papers by Reda Rawi
This network shows the impact of papers produced by Reda Rawi. 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 Reda Rawi. The network helps show where Reda Rawi may publish in the future.
Co-authors
The 25 scholars most cited alongside Reda Rawi, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Potent SARS-CoV-2 neutralizing antibodies directed against spike N-terminal domain target a single supersite Hit paper breakdown → | 2021 | 395 |
| 2 | 2018 | 242 | |
| 3 | 2018 | 166 | |
| 4 | 2017 | 151 | |
| 5 | 2019 | 110 | |
| 6 | 2017 | 105 | |
| 7 | 2017 | 91 | |
| 8 | 2018 | 82 | |
| 9 | 2019 | 72 | |
| 10 | 2018 | 70 | |
| 11 | 2018 | 66 | |
| 12 | 2018 | 54 | |
| 13 | 2020 | 53 | |
| 14 | 2017 | 51 | |
| 15 | 2022 | 43 | |
| 16 | 2018 | 42 | |
| 17 | 2019 | 42 | |
| 18 | 2020 | 41 | |
| 19 | 2019 | 34 | |
| 20 | 2021 | 34 |
About Reda Rawi
Reda Rawi is a scholar working on Virology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Epidemiology and Molecular Biology, having authored 79 papers that have together received 2.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (43 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Influenza Virus Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Protein Structure and Dynamics (4 papers), Malaria Research and Control (3 papers), Glycosylation and Glycoproteins Research (3 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Virology (1.1k citations), Infectious Diseases (582 citations), Structural Biology (20 citations), Molecular Biology (521 citations) and Radiology, Nuclear Medicine and Imaging (169 citations). Reda Rawi has collaborated with scholars based in United States, Qatar and United Kingdom. Frequent co-authors include Gwo‐Yu Chuang, Raghvendra Mall, Khalid B. Kunji, Halima Bensmail, Peter D. Kwong, Chen‐Hsiang Shen, Sameer Khurana, Baoshan Zhang, John R. Mascola and Nicole A. Doria‐Rose. Their work appears in journals such as Cell Reports, Bioinformatics, Immunity, Nature Communications and Structure.
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.