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 ⓘ
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- SARS-CoV-2 and COVID-19 Research 3
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- Biochemical and Molecular Research 1
- RNA modifications and cancer 1
- Co-authors
- Danielle Porter (3 shared papers)Egor P. Tchesnokov (4 shared papers)Matthias Götte (4 shared papers)Joy Y. Feng (3 shared papers)Jason K. Perry (3 shared papers)Calvin J. Gordon (3 shared papers)John D. Lewis (2 shared papers)Desmond Pink (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)ACS Sensors (1 paper)Nature Communications (1 paper)PubMed (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Emma Woolner
5 papers receiving 827 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Infectious Diseases 682
- Computational Theory and Mathematics 135
- Neurology 95
- Cardiology and Cardiovascular Medicine 107
- Animal Science and Zoology 37
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 | 698 |
| 2 | 2020 | 117 | |
| 3 | 2018 | 20 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 2 | |
| 6 | 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 6 papers that have together received 847 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), interferon and immune responses (1 paper), Cancer Genomics and Diagnostics (1 paper), HIV Research and Treatment (1 paper), Prostate Cancer Treatment and Research (1 paper), Computational Drug Discovery Methods (1 paper), Biochemical and Molecular Research (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Infectious Diseases (682 citations), Computational Theory and Mathematics (135 citations), Neurology (95 citations), Cardiology and Cardiovascular Medicine (107 citations) and Animal Science and Zoology (37 citations). Emma Woolner has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Danielle Porter, Egor P. Tchesnokov, Matthias Götte, Joy Y. Feng, Jason K. Perry, Calvin J. Gordon, John D. Lewis, Desmond Pink, Scott D. Findlay and Mark T. McDermott. 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.