Scott Baskerville
- Cancer Research top 0.2%
- MicroRNA in disease regulation 8
- Molecular Biology top 1%
- RNA Research and Splicing 9
- RNA Interference and Gene Delivery 8
- Advanced biosensing and bioanalysis techniques 5
- RNA and protein synthesis mechanisms 4
- Circular RNAs in diseases 3
- Aging top 5%
- Developmental Neuroscience top 5%
- Genetics top 10%
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- T-cell and Retrovirus Studies 3
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- Animal Disease Management and Epidemiology 3
- Co-authors
- David P. BartelPrakash K. RaoHarvey F. LodishMargaret E. GlasnerAntonio J. GiráldezAnton J. EnrightJ. Michael ThomsonRyan M. Cinalli
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Scott Baskerville
20 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Cancer Research 3.1k
- Molecular Biology 4.1k
- Aging 58
- Developmental Neuroscience 84
- Genetics 326
Countries citing papers authored by Scott Baskerville
This map shows the geographic impact of Scott Baskerville'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 Scott Baskerville with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Baskerville more than expected).
Fields of papers citing papers by Scott Baskerville
This network shows the impact of papers produced by Scott Baskerville. 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 Scott Baskerville. The network helps show where Scott Baskerville may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Scott Baskerville, 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 | 2021 | 5 | |
| 2 | 2008 | 122 | |
| 3 | Embryonic stem cell–specific microRNAs regulate the G1-S transition and promote rapid proliferationbreakdown → | 2008 | 519 |
| 4 | 2007 | 89 | |
| 5 | 2007 | 1 | |
| 6 | 3′ UTR seed matches, but not overall identity, are associated with RNAi off-targetsbreakdown → | 2006 | 689 |
| 7 | 2006 | 3 | |
| 8 | Myogenic factors that regulate expression of muscle-specific microRNAsbreakdown → | 2006 | 568 |
| 9 | MicroRNAs Regulate Brain Morphogenesis in Zebrafishbreakdown → | 2005 | 1030 |
| 10 | Microarray profiling of microRNAs reveals frequent coexpression with neighboring miRNAs and host genesbreakdown → | 2005 | 1156 |
| 11 | 2005 | 324 | |
| 12 | 2002 | 35 | |
| 13 | 1999 | 41 | |
| 14 | 1999 | 17 | |
| 15 | 1999 | 23 | |
| 16 | 1998 | 1 | |
| 17 | 1995 | 32 | |
| 18 | 1995 | 4 | |
| 19 | A simple code for protein:RNA interactions. | 1995 | 3 |
| 20 | 1995 | 41 |
About Scott Baskerville
Scott Baskerville is a scholar working on Cancer Research, Agronomy and Crop Science and Molecular Biology, having authored 20 papers that have together received 4.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), RNA Interference and Gene Delivery (8 papers), MicroRNA in disease regulation (8 papers), Advanced biosensing and bioanalysis techniques (5 papers), RNA and protein synthesis mechanisms (4 papers), T-cell and Retrovirus Studies (3 papers), Animal Disease Management and Epidemiology (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (3.1k citations), Molecular Biology (4.1k citations) and Aging (58 citations). Scott Baskerville has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include David P. Bartel, Prakash K. Rao, Harvey F. Lodish, Margaret E. Glasner, Antonio J. Giráldez, Anton J. Enright, J. Michael Thomson, Ryan M. Cinalli, Scott M. Hammond and Roshan Kumar. Their work appears in journals such as RNA, Journal of Virology, Nature Methods, Proceedings of the National Academy of Sciences and Molecular Diversity.
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.