Fiona Brown
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Long-Term Effects of COVID-19
Papers in
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- Endoplasmic Reticulum Stress and Disease 2
-
- Parkinson's Disease Mechanisms and Treatments 1
- Co-authors
- Paweł Lis (3 shared papers)Sophie Burel (1 shared paper)Rachel L. Toth (3 shared papers)Meng-Yun Chou (1 shared paper)Ivan Muñoz Muñoz (2 shared papers)John Wilson Rouse (3 shared papers)Dario R. Alessi (2 shared papers)Martin Steger (1 shared paper)
- Journals
- Science (1 paper)Life Science Alliance (1 paper)Molecular & Cellular Proteomics (1 paper)Science Advances (1 paper)The EMBO Journal (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Fiona Brown
6 papers receiving 848 citations
Fiona Brown's Hit Papers
Peers
Comparison fields: 5 of 84
- Infectious Diseases 418
- Neurology 147
- Biological Psychiatry 20
- Cell Biology 101
- Immunology 121
Countries citing papers authored by Fiona Brown
This map shows the geographic impact of Fiona Brown'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 Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fiona Brown more than expected).
Fields of papers citing papers by Fiona Brown
This network shows the impact of papers produced by Fiona Brown. 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 Brown. The network helps show where Fiona Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Fiona Brown, 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 | Comparative host-coronavirus protein interaction networks reveal pan-viral disease mechanisms Hit paper breakdown → | 2020 | 536 |
| 2 | 2021 | 149 | |
| 3 | 2017 | 108 | |
| 4 | 2018 | 58 | |
| 5 | 2023 | 12 | |
| 6 | 2024 | 4 | |
| 7 | 2025 | 0 |
About Fiona Brown
Fiona Brown is a scholar working on Cell Biology, Neurology, Infectious Diseases, Molecular Biology and Computational Theory and Mathematics, having authored 7 papers that have together received 867 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Ubiquitin and proteasome pathways (2 papers), CRISPR and Genetic Engineering (1 paper), COVID-19 Clinical Research Studies (1 paper), RNA modifications and cancer (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Infectious Diseases (418 citations), Neurology (147 citations), Biological Psychiatry (20 citations), Cell Biology (101 citations) and Immunology (121 citations). Fiona Brown has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Paweł Lis, Sophie Burel, Rachel L. Toth, Meng-Yun Chou, Ivan Muñoz Muñoz, John Wilson Rouse, Dario R. Alessi, Martin Steger, Philip Wing‐Lok Ho and Paul T. G. Davies. Their work appears in journals such as Science, Life Science Alliance, Molecular & Cellular Proteomics, Science Advances and The EMBO Journal.
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.