Julia A. Townsend
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
-
- Lipid Membrane Structure and Behavior 3
- Protein Structure and Dynamics 2
- Metabolomics and Mass Spectrometry Studies 2
- Co-authors
- Michael T. Marty (15 shared papers)Jun Wang (8 shared papers)Chunlong Ma (6 shared papers)Yanmei Hu (6 shared papers)M. Sacco (6 shared papers)Yu Chen (6 shared papers)Xiujun Zhang (3 shared papers)Brett L. Hurst (2 shared papers)
- Journals
- Analytical Chemistry (3 papers)Bioconjugate Chemistry (2 papers)Nature Communications (1 paper)Cell Research (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesGreeceUnited Kingdom
In The Last Decade
Julia A. Townsend
18 papers receiving 1.6k citations
Julia A. Townsend's Hit Papers
Peers
Comparison fields: 5 of 98
- Computational Theory and Mathematics 956
- Infectious Diseases 932
- Organic Chemistry 351
- Molecular Biology 535
- Toxicology 26
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 | Boceprevir, GC-376, and calpain inhibitors II, XII inhibit SARS-CoV-2 viral replication by targeting the viral main protease Hit paper breakdown → | 2020 | 627 |
| 2 | 2020 | 293 | |
| 3 | 2020 | 199 | |
| 4 | 2021 | 147 | |
| 5 | 2021 | 116 | |
| 6 | 2021 | 113 | |
| 7 | 2019 | 40 | |
| 8 | 2019 | 39 | |
| 9 | 2022 | 19 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2024 | 7 | |
| 14 | 2025 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2025 | 1 |
About Julia A. Townsend
Julia A. Townsend is a scholar working on Infectious Diseases, Molecular Biology, Computational Theory and Mathematics, Genetics and Organic Chemistry, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Computational Drug Discovery Methods (4 papers), Click Chemistry and Applications (3 papers), Lipid Membrane Structure and Behavior (3 papers), Viral Infections and Immunology Research (3 papers), Protein Structure and Dynamics (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Computational Theory and Mathematics (956 citations), Infectious Diseases (932 citations), Organic Chemistry (351 citations), Molecular Biology (535 citations) and Toxicology (26 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, M. Sacco, Yu Chen, Xiujun Zhang, Brett L. Hurst, E. Bart Tarbet and Tommy Szeto. Their work appears in journals such as Analytical Chemistry, Bioconjugate Chemistry, Nature Communications, Cell Research and Journal of Medicinal 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.