Julia A. Townsend
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- SARS-CoV-2 and COVID-19 Research 6
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- Computational Drug Discovery Methods 4
Julia A. Townsend
17 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Computational Theory and Mathematics 953
- Infectious Diseases 939
- Organic Chemistry 353
- Toxicology 29
- Molecular Biology 528
Countries citing papers authored by Julia A. Townsend
This map shows the geographic impact of Julia A. Townsend'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 Julia A. Townsend with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia A. Townsend more than expected).
Fields of papers citing papers by Julia A. Townsend
This network shows the impact of papers produced by Julia A. Townsend. 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 Julia A. Townsend. The network helps show where Julia A. Townsend may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia A. Townsend, 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 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 19 | |
| 7 | 2021 | 112 | |
| 8 | 2021 | 106 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 143 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 16 | |
| 13 | 2021 | 10 | |
| 14 | Boceprevir, GC-376, and calpain inhibitors II, XII inhibit SARS-CoV-2 viral replication by targeting the viral main protease Hit paper breakdown → | 2020 | 616 |
| 15 | 2020 | 284 | |
| 16 | 2020 | 193 | |
| 17 | 2019 | 39 | |
| 18 | 2019 | 38 |
About Julia A. Townsend
Julia A. Townsend is a scholar working on Infectious Diseases, Computational Theory and Mathematics, Molecular Medicine, Microbiology and Genetics, having authored 18 papers that have together received 1.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Computational Drug Discovery Methods (4 papers), Lipid Membrane Structure and Behavior (4 papers), Click Chemistry and Applications (3 papers), Viral Infections and Immunology Research (3 papers), Protein Structure and Dynamics (2 papers), Calpain Protease Function and Regulation (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (953 citations), Infectious Diseases (939 citations), Organic Chemistry (353 citations), Toxicology (29 citations) and Molecular Biology (528 citations). Julia A. Townsend has collaborated with scholars based in United States, Greece and United Kingdom. Frequent co-authors include Michael T. Marty, Jun Wang, Chunlong Ma, Yanmei Hu, Yu Chen, M. Sacco, Xiujun Zhang, E. Bart Tarbet, Brett L. Hurst and Tommy Szeto. Their work appears in journals such as Analytical Chemistry, Bioconjugate Chemistry, Journal of Pharmaceutical Sciences, Journal of the American Chemical Society and Organic Letters.
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.