Jad Maamary
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Galectins and Cancer Biology
- Immune Response and Inflammation
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- Monoclonal and Polyclonal Antibodies Research
Papers in
- Immunology 11
- T-cell and B-cell Immunology 5
- interferon and immune responses 3
- Immune Cell Function and Interaction 3
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- Influenza Virus Research Studies 8
- Respiratory viral infections research 8
- Co-authors
- Jeffrey V. Ravetch (7 shared papers)Andrew Pincetic (3 shared papers)Taia T. Wang (5 shared papers)Stylianos Bournazos (3 shared papers)Rony Dahan (2 shared papers)Peter Palese (7 shared papers)Gene S. Tan (4 shared papers)Florian Krammer (4 shared papers)
- Journals
- Journal of Virology (4 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of Pharmaceutical Sciences (1 paper)PLoS Pathogens (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesGermanyCzechia
In The Last Decade
Jad Maamary
18 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 79
- Immunology 973
- Radiology, Nuclear Medicine and Imaging 777
- Epidemiology 712
- Infectious Diseases 261
- Virology 51
Countries citing papers authored by Jad Maamary
This map shows the geographic impact of Jad Maamary'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 Jad Maamary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jad Maamary more than expected).
Fields of papers citing papers by Jad Maamary
This network shows the impact of papers produced by Jad Maamary. 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 Jad Maamary. The network helps show where Jad Maamary may publish in the future.
Co-authors
The 25 scholars most cited alongside Jad Maamary, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 365 | |
| 2 | 2012 | 228 | |
| 3 | 2012 | 214 | |
| 4 | 2013 | 176 | |
| 5 | 2017 | 163 | |
| 6 | 2015 | 154 | |
| 7 | 2011 | 148 | |
| 8 | 2022 | 108 | |
| 9 | 2015 | 84 | |
| 10 | 2017 | 41 | |
| 11 | 2012 | 37 | |
| 12 | 2010 | 30 | |
| 13 | 2012 | 16 | |
| 14 | 2012 | 16 | |
| 15 | 2019 | 12 | |
| 16 | 2022 | 9 | |
| 17 | 2021 | 4 | |
| 18 | 2015 | 1 |
About Jad Maamary
Jad Maamary is a scholar working on Immunology, Epidemiology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 18 papers that have together received 1.8k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Respiratory viral infections research (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), T-cell and B-cell Immunology (5 papers), Glycosylation and Glycoproteins Research (4 papers), interferon and immune responses (3 papers), vaccines and immunoinformatics approaches (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (973 citations), Radiology, Nuclear Medicine and Imaging (777 citations), Epidemiology (712 citations), Infectious Diseases (261 citations) and Virology (51 citations). Jad Maamary has collaborated with scholars based in United States, Germany and Czechia. Frequent co-authors include Jeffrey V. Ravetch, Andrew Pincetic, Taia T. Wang, Stylianos Bournazos, Rony Dahan, Peter Palese, Gene S. Tan, Florian Krammer, David J. DiLillo and Natalie Pica. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Journal of Pharmaceutical Sciences, PLoS Pathogens and The Journal of Immunology.
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.