David Brown
- Cancer Research top 0.05%
- MicroRNA in disease regulation 20
- Molecular Biology top 0.5%
- RNA Interference and Gene Delivery 14
- Advanced biosensing and bioanalysis techniques 9
- CRISPR and Genetic Engineering 8
- RNA and protein synthesis mechanisms 8
- RNA Research and Splicing 8
- Aging top 2%
- Plant Science top 1%
- Polysaccharides and Plant Cell Walls 8
- Parasitology top 2%
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- Viral Infections and Immunology Research 10
- Co-authors
- Frank J. SlackJaclyn ShingaraAndreas G. BaderMike ByromAngie ChengKevin KelnarEmmanuel LabourierSimon R. Turner
- Journals
- Cancer Research (7 papers)Molecular Cancer Therapeutics (4 papers)Molecular and Biochemical Parasitology (4 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
David Brown
83 papers receiving 11.8k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Cancer Research 6.4k
- Molecular Biology 9.0k
- Aging 136
- Plant Science 1.8k
- Parasitology 258
Countries citing papers authored by David Brown
This map shows the geographic impact of David 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 David Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Brown more than expected).
Fields of papers citing papers by David Brown
This network shows the impact of papers produced by David 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 David Brown. The network helps show where David Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David 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 | 2025 | 0 | |
| 2 | 2021 | 14 | |
| 3 | 2020 | 30 | |
| 4 | 2018 | 47 | |
| 5 | 2018 | 13 | |
| 6 | 2018 | 70 | |
| 7 | 2017 | 36 | |
| 8 | 2016 | 21 | |
| 9 | 2014 | 65 | |
| 10 | 2012 | 157 | |
| 11 | Development of a Lung Cancer Therapeutic Based on the Tumor Suppressor MicroRNA-34breakdown → | 2010 | 532 |
| 12 | Exploring the potential of combination therapies for DME | 2009 | 1 |
| 13 | The let-7 MicroRNA Represses Cell Proliferation Pathways in Human Cellsbreakdown → | 2007 | 1035 |
| 14 | 2007 | 186 | |
| 15 | 2007 | 291 | |
| 16 | 2007 | 24 | |
| 17 | Identification of Novel Genes in Arabidopsis Involved in Secondary Cell Wall Formation Using Expression Profiling and Reverse Geneticsbreakdown → | 2005 | 632 |
| 18 | 2001 | 1 | |
| 19 | 1996 | 40 | |
| 20 | 1995 | 40 |
About David Brown
David Brown is a scholar working on Cancer Research, Molecular Biology and Microbiology, having authored 86 papers that have together received 12.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (20 papers), RNA Interference and Gene Delivery (14 papers), Viral Infections and Immunology Research (10 papers), Advanced biosensing and bioanalysis techniques (9 papers), CRISPR and Genetic Engineering (8 papers), RNA and protein synthesis mechanisms (8 papers), Polysaccharides and Plant Cell Walls (8 papers) and RNA Research and Splicing (8 papers). The work is most often cited by research in Cancer Research (6.4k citations), Molecular Biology (9.0k citations) and Aging (136 citations). David Brown has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Frank J. Slack, Jaclyn Shingara, Andreas G. Bader, Mike Byrom, Angie Cheng, Kevin Kelnar, Emmanuel Labourier, Simon R. Turner, Helge Großhans and Steven Johnson. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Molecular and Biochemical Parasitology, Journal of Virology and The Plant 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.