Eoin Brown
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Extracellular vesicles in disease 2
- Advanced biosensing and bioanalysis techniques 1
- Molecular Biology Techniques and Applications 1
- Genomics and Phylogenetic Studies 1
- RNA regulation and disease 1
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 1
- Co-authors
- Shijie Jin (1 shared paper)Yang Tian (1 shared paper)Haruki Higashimori (1 shared paper)Rachel Jarvis (1 shared paper)Yongjie Yang (1 shared paper)Yuqin Men (1 shared paper)Ming Sum Ruby Chiang (1 shared paper)David Simpson (4 shared papers)
- Journals
- BioTechniques (1 paper)Microcirculation (1 paper)BMC Genomics (1 paper)Journal of Cellular and Molecular Medicine (1 paper)Nature Communications (1 paper)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Eoin Brown
5 papers receiving 366 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 186
- Neurology 43
- Molecular Biology 327
- Developmental Neuroscience 9
- Biological Psychiatry 4
Countries citing papers authored by Eoin Brown
This map shows the geographic impact of Eoin 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 Eoin Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eoin Brown more than expected).
Fields of papers citing papers by Eoin Brown
This network shows the impact of papers produced by Eoin 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 Eoin Brown. The network helps show where Eoin Brown may publish in the future.
Co-authors
The 20 scholars most cited alongside Eoin 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 | 2019 | 256 | |
| 2 | 2014 | 60 | |
| 3 | 2017 | 35 | |
| 4 | 2015 | 11 | |
| 5 | 2012 | 5 |
About Eoin Brown
Eoin Brown is a scholar working on Molecular Biology, Cancer Research, Sensory Systems, Physiology and Inorganic Chemistry, having authored 5 papers that have together received 367 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Extracellular vesicles in disease (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Vanadium and Halogenation Chemistry (1 paper), Cancer-related molecular mechanisms research (1 paper), Molecular Biology Techniques and Applications (1 paper), Genomics and Phylogenetic Studies (1 paper) and RNA regulation and disease (1 paper). The work is most often cited by research in Cancer Research (186 citations), Neurology (43 citations), Molecular Biology (327 citations), Developmental Neuroscience (9 citations) and Biological Psychiatry (4 citations). Eoin Brown has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Shijie Jin, Yang Tian, Haruki Higashimori, Rachel Jarvis, Yongjie Yang, Yuqin Men, Ming Sum Ruby Chiang, David Simpson, Jasenka Guduric‐Fuchs and Ruth Hogg. Their work appears in journals such as BioTechniques, Microcirculation, BMC Genomics, Journal of Cellular and Molecular Medicine and Nature Communications.
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.