Priyamvada Acharya
- Virology top 1%
- HIV Research and Treatment 27
- Structural Biology top 2%
- Infectious Diseases top 1%
- HIV/AIDS drug development and treatment 13
- SARS-CoV-2 and COVID-19 Research 12
- Immunology top 10%
- Immune Cell Function and Interaction 8
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- Monoclonal and Polyclonal Antibodies Research 18
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- vaccines and immunoinformatics approaches 9
- Enzyme Catalysis and Immobilization 5
- Glycosylation and Glycoproteins Research 4
- Co-authors
- Barton F. HaynesPeter D. KwongNalam Madhusudhana RaoKatarzyna JanowskaVictoria StallsRobert J. EdwardsRory HendersonKatayoun Mansouri
- Partner nations
- United StatesFranceIndia
In The Last Decade
Priyamvada Acharya
54 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Virology 684
- Structural Biology 98
- Infectious Diseases 1.2k
- Immunology 417
- Radiology, Nuclear Medicine and Imaging 431
Countries citing papers authored by Priyamvada Acharya
This map shows the geographic impact of Priyamvada Acharya'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 Priyamvada Acharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyamvada Acharya more than expected).
Fields of papers citing papers by Priyamvada Acharya
This network shows the impact of papers produced by Priyamvada Acharya. 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 Priyamvada Acharya. The network helps show where Priyamvada Acharya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Priyamvada Acharya, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 30 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 3 | |
| 12 | Effect of natural mutations of SARS-CoV-2 on spike structure, conformation, and antigenicitybreakdown → | 2021 | 247 |
| 13 | 2020 | 269 | |
| 14 | 2020 | 61 | |
| 15 | Germline-targeting and Reverse Engineering to Elicit CH235.12 Lineage bNAbs | 2018 | 1 |
| 16 | 2018 | 43 | |
| 17 | 2014 | 1 | |
| 18 | 2013 | 23 | |
| 19 | 2011 | 29 | |
| 20 | 2005 | 21 |
About Priyamvada Acharya
Priyamvada Acharya is a scholar working on Virology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging, having authored 56 papers that have together received 2.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (27 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), HIV/AIDS drug development and treatment (13 papers), SARS-CoV-2 and COVID-19 Research (12 papers), vaccines and immunoinformatics approaches (9 papers), Immune Cell Function and Interaction (8 papers), Enzyme Catalysis and Immobilization (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Virology (684 citations), Structural Biology (98 citations) and Infectious Diseases (1.2k citations). Priyamvada Acharya has collaborated with scholars based in United States, France and India. Frequent co-authors include Barton F. Haynes, Peter D. Kwong, Nalam Madhusudhana Rao, Katarzyna Janowska, Victoria Stalls, Robert J. Edwards, Rory Henderson, Katayoun Mansouri, S. Gobeil and Megan Kopp. Their work appears in journals such as Science, Cell and Journal of Biological Chemistry.
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.