Raksha Das
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 10
- COVID-19 Clinical Research Studies 3
-
- Animal Virus Infections Studies 2
- Co-authors
- Aiste Dijokaite-Guraliuc (4 shared papers)Jingshan Ren (4 shared papers)Daming Zhou (4 shared papers)Gavin Robert Screaton (4 shared papers)Alexander Mentzer (4 shared papers)Juthathip Mongkolsapaya (4 shared papers)Elizabeth E. Fry (4 shared papers)David Ian Stuart (4 shared papers)
- Journals
- Nature Communications (3 papers)Cell Reports (2 papers)Cell Discovery (2 papers)BMC Infectious Diseases (1 paper)Cell Reports Medicine (1 paper)
- Partner nations
- United KingdomChinaThailand
In The Last Decade
Raksha Das
10 papers receiving 689 citations
Raksha Das's Hit Papers
Peers
Comparison fields: 5 of 55
- Infectious Diseases 605
- Animal Science and Zoology 90
- Modeling and Simulation 30
- Radiology, Nuclear Medicine and Imaging 81
- Molecular Biology 210
Countries citing papers authored by Raksha Das
This map shows the geographic impact of Raksha Das'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 Raksha Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raksha Das more than expected).
Fields of papers citing papers by Raksha Das
This network shows the impact of papers produced by Raksha Das. 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 Raksha Das. The network helps show where Raksha Das may publish in the future.
Co-authors
The 23 scholars most cited alongside Raksha Das, 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 | Antibody escape of SARS-CoV-2 Omicron BA.4 and BA.5 from vaccine and BA.1 serum Hit paper breakdown → | 2022 | 547 |
| 2 | 2022 | 45 | |
| 3 | 2023 | 40 | |
| 4 | 2023 | 20 | |
| 5 | 2024 | 17 | |
| 6 | 2024 | 13 | |
| 7 | 2024 | 9 | |
| 8 | 2024 | 4 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 3 |
About Raksha Das
Raksha Das is a scholar working on Infectious Diseases, Animal Science and Zoology, Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology, having authored 10 papers that have together received 701 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), vaccines and immunoinformatics approaches (4 papers), COVID-19 Clinical Research Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Animal Virus Infections Studies (2 papers), Immunotherapy and Immune Responses (2 papers), Bacillus and Francisella bacterial research (2 papers) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Infectious Diseases (605 citations), Animal Science and Zoology (90 citations), Modeling and Simulation (30 citations), Radiology, Nuclear Medicine and Imaging (81 citations) and Molecular Biology (210 citations). Raksha Das has collaborated with scholars based in United Kingdom, China and Thailand. Frequent co-authors include Aiste Dijokaite-Guraliuc, Jingshan Ren, Daming Zhou, Gavin Robert Screaton, Alexander Mentzer, Juthathip Mongkolsapaya, Elizabeth E. Fry, David Ian Stuart, Paul Klenerman and Nigel James Temperton. Their work appears in journals such as Nature Communications, Cell Reports, Cell Discovery, BMC Infectious Diseases and Cell Reports Medicine.
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.