Pramila Rijal
- Infectious Diseases top 10%
- Viral Infections and Outbreaks Research 7
- SARS-CoV-2 and COVID-19 Research 5
- Viral Infections and Vectors 5
-
- Immune Cell Function and Interaction 4
-
- Influenza Virus Research Studies 16
- Respiratory viral infections research 9
- Agronomy and Crop Science top 10%
- Animal Science and Zoology top 10%
-
- Monoclonal and Polyclonal Antibodies Research 7
-
- vaccines and immunoinformatics approaches 4
- Co-authors
- Alain TownsendTiong Kit TanLisa SchimanskiRodney S. DanielsJohn W. McCauleyTimothy J. PowellTzou Yien LinMark Howarth
- Journals
- Angewandte Chemie International Edition (1 paper)Journal of Clinical Investigation (1 paper)Nature Communications (1 paper)
- Partner nations
- United KingdomTaiwanChina
In The Last Decade
Pramila Rijal
33 papers receiving 534 citations
Peers
Comparison fields: 5 of 50
- Infectious Diseases 197
- Immunology 213
- Epidemiology 244
- Agronomy and Crop Science 46
- Animal Science and Zoology 41
Countries citing papers authored by Pramila Rijal
This map shows the geographic impact of Pramila Rijal'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 Pramila Rijal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pramila Rijal more than expected).
Fields of papers citing papers by Pramila Rijal
This network shows the impact of papers produced by Pramila Rijal. 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 Pramila Rijal. The network helps show where Pramila Rijal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pramila Rijal, 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 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 26 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 76 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 20 | |
| 12 | 2021 | 29 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2020 | 12 | |
| 16 | 2020 | 63 | |
| 17 | 2020 | 9 | |
| 18 | 2020 | 6 | |
| 19 | 2018 | 18 | |
| 20 | Human monoclonal antibodies from convalescent H7N9 patients in China and Taiwan | 2014 | 2 |
About Pramila Rijal
Pramila Rijal is a scholar working on Infectious Diseases, Epidemiology and Immunology, having authored 33 papers that have together received 541 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (16 papers), Respiratory viral infections research (9 papers), Viral Infections and Outbreaks Research (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Viral Infections and Vectors (5 papers), Immune Cell Function and Interaction (4 papers) and vaccines and immunoinformatics approaches (4 papers). The work is most often cited by research in Infectious Diseases (197 citations), Immunology (213 citations) and Epidemiology (244 citations). Pramila Rijal has collaborated with scholars based in United Kingdom, Taiwan and China. Frequent co-authors include Alain Townsend, Tiong Kit Tan, Lisa Schimanski, Rodney S. Daniels, John W. McCauley, Timothy J. Powell, Tzou Yien Lin, Mark Howarth, Simon J. Draper and Hung‐Jen Wu. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Clinical Investigation and Nature Communications.
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.