Hannah E. Brown
Impact in
- Microbiology top 10%
- Reproductive tract infections research
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- Antifungal resistance and susceptibility
Papers in
-
- Fungal and yeast genetics research 5
- Extracellular vesicles in disease 2
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- interferon and immune responses 2
- Immune Response and Inflammation 2
- Co-authors
- J. Andrew Alspaugh (5 shared papers)Shannon K. Esher (2 shared papers)Joseph W. Saelens (3 shared papers)Kaila M. Pianalto (3 shared papers)Kyla S. Ost (2 shared papers)Debra L. Silver (1 shared paper)Hanqian Mao (1 shared paper)Jatin M. Vyas (7 shared papers)
- Journals
- mBio (5 papers)The Lancet Oncology (3 papers)The Lancet (2 papers)Molecular Oncology (2 papers)JCI Insight (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Hannah E. Brown
23 papers receiving 340 citations
Peers
Comparison fields: 5 of 64
- Microbiology 31
- Infectious Diseases 60
- Immunology 52
- Epidemiology 65
- Molecular Biology 128
Countries citing papers authored by Hannah E. Brown
This map shows the geographic impact of Hannah E. 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 Hannah E. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah E. Brown more than expected).
Fields of papers citing papers by Hannah E. Brown
This network shows the impact of papers produced by Hannah E. 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 Hannah E. Brown. The network helps show where Hannah E. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Hannah E. 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 59 | |
| 2 | 2024 | 56 | |
| 3 | 2016 | 49 | |
| 4 | 2020 | 29 | |
| 5 | 2023 | 22 | |
| 6 | 2016 | 18 | |
| 7 | 2018 | 18 | |
| 8 | 2018 | 16 | |
| 9 | 2025 | 11 | |
| 10 | 2024 | 10 | |
| 11 | 2024 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2017 | 6 | |
| 14 | 2024 | 6 | |
| 15 | 2003 | 5 | |
| 16 | 2017 | 4 | |
| 17 | 2025 | 4 | |
| 18 | 2001 | 3 | |
| 19 | 2005 | 3 | |
| 20 | 2007 | 2 |
About Hannah E. Brown
Hannah E. Brown is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Epidemiology and Reproductive Medicine, having authored 24 papers that have together received 342 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (5 papers), Fungal Infections and Studies (4 papers), Antifungal resistance and susceptibility (3 papers), Health and Medical Research Impacts (2 papers), Extracellular vesicles in disease (2 papers), interferon and immune responses (2 papers), Immune Response and Inflammation (2 papers) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Microbiology (31 citations), Infectious Diseases (60 citations), Immunology (52 citations), Epidemiology (65 citations) and Molecular Biology (128 citations). Hannah E. Brown has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include J. Andrew Alspaugh, Shannon K. Esher, Joseph W. Saelens, Kaila M. Pianalto, Kyla S. Ost, Debra L. Silver, Hanqian Mao, Jatin M. Vyas, Larissa Fernandes and Eva‐Maria Frickel. Their work appears in journals such as mBio, The Lancet Oncology, The Lancet, Molecular Oncology and JCI Insight.
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.