Emma Woolner
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
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- Computational Drug Discovery Methods
Papers in
-
- SARS-CoV-2 and COVID-19 Research 3
- Viral Infections and Outbreaks Research 1
- Co-authors
- Egor P. Tchesnokov (5 shared papers)Matthias Götte (5 shared papers)Joy Y. Feng (3 shared papers)Jason K. Perry (3 shared papers)Danielle Porter (3 shared papers)Calvin J. Gordon (4 shared papers)John D. Lewis (2 shared papers)Mark T. McDermott (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)ACS Sensors (1 paper)Nature Communications (1 paper)PubMed (2 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Emma Woolner
5 papers receiving 864 citations
Emma Woolner's Hit Papers
Peers
Comparison fields: 5 of 79
- Infectious Diseases 667
- Computational Theory and Mathematics 132
- Neurology 85
- Cardiology and Cardiovascular Medicine 104
- Virology 17
Countries citing papers authored by Emma Woolner
This map shows the geographic impact of Emma Woolner'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 Emma Woolner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Woolner more than expected).
Fields of papers citing papers by Emma Woolner
This network shows the impact of papers produced by Emma Woolner. 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 Emma Woolner. The network helps show where Emma Woolner may publish in the future.
Co-authors
The 25 scholars most cited alongside Emma Woolner, 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 | Remdesivir is a direct-acting antiviral that inhibits RNA-dependent RNA polymerase from severe acute respiratory syndrome coronavirus 2 with high potency Hit paper breakdown → | 2020 | 730 |
| 2 | 2020 | 121 | |
| 3 | 2018 | 21 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 2 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 0 |
About Emma Woolner
Emma Woolner is a scholar working on Infectious Diseases, Molecular Biology, Cardiology and Cardiovascular Medicine, Virology and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 884 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Prostate Cancer Treatment and Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Hormonal and reproductive studies (1 paper), Microtubule and mitosis dynamics (1 paper), Viral Infections and Outbreaks Research (1 paper), Viral Infections and Immunology Research (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Infectious Diseases (667 citations), Computational Theory and Mathematics (132 citations), Neurology (85 citations), Cardiology and Cardiovascular Medicine (104 citations) and Virology (17 citations). Emma Woolner has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Egor P. Tchesnokov, Matthias Götte, Joy Y. Feng, Jason K. Perry, Danielle Porter, Calvin J. Gordon, John D. Lewis, Mark T. McDermott, Scott D. Findlay and Desmond Pink. Their work appears in journals such as Journal of Biological Chemistry, ACS Sensors, Nature Communications and PubMed.
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.