Joy Pai
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Immunology top 5%
- T-cell and B-cell Immunology
Papers in
- Virology 9
- HIV Research and Treatment 9
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- T-cell and B-cell Immunology 6
- Co-authors
- Ansuman T. Satpathy (4 shared papers)Michel C. Nussenzweig (8 shared papers)Thiago Y. Oliveira (6 shared papers)Mila Janković (4 shared papers)Julio C. C. Lorenzi (4 shared papers)Marina F. Caskey (3 shared papers)Qiao Wang (3 shared papers)Christian Thomas Mayer (2 shared papers)
- Journals
- The Journal of Experimental Medicine (4 papers)Nature (3 papers)Nature Medicine (2 papers)Science (2 papers)Immunity (2 papers)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Joy Pai
24 papers receiving 2.5k citations
Joy Pai's Hit Papers
Peers
Comparison fields: 5 of 84
- Virology 1k
- Immunology 520
- Oncology 232
- Infectious Diseases 184
- Molecular Biology 420
Countries citing papers authored by Joy Pai
This map shows the geographic impact of Joy Pai'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 Joy Pai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joy Pai more than expected).
Fields of papers citing papers by Joy Pai
This network shows the impact of papers produced by Joy Pai. 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 Joy Pai. The network helps show where Joy Pai may publish in the future.
Co-authors
The 25 scholars most cited alongside Joy Pai, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Combination therapy with anti-HIV-1 antibodies maintains viral suppression Hit paper breakdown → | 2018 | 422 |
| 2 | Recurrent Potent Human Neutralizing Antibodies to Zika Virus in Brazil and Mexico Hit paper breakdown → | 2017 | 271 |
| 3 | 2018 | 210 | |
| 4 | 2017 | 209 | |
| 5 | 2021 | 203 | |
| 6 | 2022 | 185 | |
| 7 | 2019 | 147 | |
| 8 | 2023 | 114 | |
| 9 | 2018 | 111 | |
| 10 | 2019 | 100 | |
| 11 | 2018 | 98 | |
| 12 | 2018 | 95 | |
| 13 | 2018 | 68 | |
| 14 | 2022 | 63 | |
| 15 | 2019 | 59 | |
| 16 | 2016 | 58 | |
| 17 | 2021 | 43 | |
| 18 | 2018 | 34 | |
| 19 | 2021 | 30 | |
| 20 | 2019 | 26 |
About Joy Pai
Joy Pai is a scholar working on Virology, Immunology, Oncology, Molecular Biology and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 2.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), T-cell and B-cell Immunology (6 papers), Cancer Immunotherapy and Biomarkers (3 papers), Inflammatory Bowel Disease (1 paper), Genomics and Chromatin Dynamics (1 paper), RNA Research and Splicing (1 paper), vaccines and immunoinformatics approaches (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Virology (1k citations), Immunology (520 citations), Oncology (232 citations), Infectious Diseases (184 citations) and Molecular Biology (420 citations). Joy Pai has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Ansuman T. Satpathy, Michel C. Nussenzweig, Thiago Y. Oliveira, Mila Janković, Julio C. C. Lorenzi, Marina F. Caskey, Qiao Wang, Christian Thomas Mayer, Yehuda Z. Cohen and Ervin E. Kara. Their work appears in journals such as The Journal of Experimental Medicine, Nature, Nature Medicine, Science and Immunity.
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.