Fiona L. Kearns
- Pollution top 5%
- Biomaterials top 5%
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 9
- COVID-19 Clinical Research Studies 3
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- Computational Drug Discovery Methods 3
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- Protein Structure and Dynamics 6
- Glycosylation and Glycoproteins Research 3
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- Spectroscopy and Quantum Chemical Studies 6
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- Influenza Virus Research Studies 3
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- Advanced Thermodynamics and Statistical Mechanics 3
- Co-authors
- H. Lee WoodcockRommie E. AmaroLorenzo CasalinoStefan BoreschMia A. RosenfeldHarry P. AustinErika EricksonBryon S. Donohoe
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (2 papers)The Journal of Physical Chemistry B (1 paper)
- Partner nations
- United StatesAustriaUnited Kingdom
In The Last Decade
Fiona L. Kearns
28 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Pollution 291
- Biomaterials 239
- Infectious Diseases 337
- Industrial and Manufacturing Engineering 146
- Computational Theory and Mathematics 109
Countries citing papers authored by Fiona L. Kearns
This map shows the geographic impact of Fiona L. Kearns'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 Fiona L. Kearns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fiona L. Kearns more than expected).
Fields of papers citing papers by Fiona L. Kearns
This network shows the impact of papers produced by Fiona L. Kearns. 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 Fiona L. Kearns. The network helps show where Fiona L. Kearns may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fiona L. Kearns, 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 | 2024 | 12 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 23 | |
| 5 | 2023 | 26 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 59 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 34 | |
| 12 | A glycan gate controls opening of the SARS-CoV-2 spike proteinbreakdown → | 2021 | 251 |
| 13 | Characterization and engineering of a two-enzyme system for plastics depolymerizationbreakdown → | 2020 | 365 |
| 14 | 2020 | 7 | |
| 15 | 2019 | 6 | |
| 16 | 2019 | 12 | |
| 17 | 2016 | 8 | |
| 18 | 2016 | 9 | |
| 19 | 2016 | 23 | |
| 20 | 2014 | 28 |
About Fiona L. Kearns
Fiona L. Kearns is a scholar working on Infectious Diseases, Biotechnology and Animal Science and Zoology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Protein Structure and Dynamics (6 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Glycosylation and Glycoproteins Research (3 papers), Influenza Virus Research Studies (3 papers), Computational Drug Discovery Methods (3 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Pollution (291 citations), Biomaterials (239 citations) and Infectious Diseases (337 citations). Fiona L. Kearns has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include H. Lee Woodcock, Rommie E. Amaro, Lorenzo Casalino, Stefan Boresch, Mia A. Rosenfeld, Harry P. Austin, Erika Erickson, Bryon S. Donohoe, Brandon C. Knott and Nicholas A. Rorrer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Physical Chemistry B.
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.