Scott Baskerville

5.9k total citations · 5 hit papers
20 papers, 4.7k citations indexed

About

Scott Baskerville is a scholar working on Molecular Biology, Cancer Research and Agronomy and Crop Science. According to data from OpenAlex, Scott Baskerville has authored 20 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Cancer Research and 3 papers in Agronomy and Crop Science. Recurrent topics in Scott Baskerville's work include RNA Research and Splicing (9 papers), RNA Interference and Gene Delivery (8 papers) and MicroRNA in disease regulation (8 papers). Scott Baskerville is often cited by papers focused on RNA Research and Splicing (9 papers), RNA Interference and Gene Delivery (8 papers) and MicroRNA in disease regulation (8 papers). Scott Baskerville collaborates with scholars based in United States, Israel and United Kingdom. Scott Baskerville's co-authors include David P. Bartel, Scott M. Hammond, Prakash K. Rao, Harvey F. Lodish, Roshan Kumar, Alexander F. Schier, Ryan M. Cinalli, J. Michael Thomson, Anton J. Enright and Antonio J. Giráldez and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Scott Baskerville

20 papers receiving 4.6k citations

Hit Papers

Microarray profiling of microRNAs reveals frequent coexpr... 2005 2026 2012 2019 2005 2005 2006 2006 2008 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Scott Baskerville United States 14 4.1k 3.1k 326 198 196 20 4.7k
Eric G. Moss United States 26 3.6k 0.9× 2.3k 0.7× 322 1.0× 352 1.8× 160 0.8× 34 4.6k
Shobha Vasudevan United States 20 3.8k 0.9× 2.8k 0.9× 274 0.8× 194 1.0× 319 1.6× 32 4.6k
Giovanni Stefani United States 15 3.6k 0.9× 2.0k 0.6× 462 1.4× 116 0.6× 208 1.1× 22 4.2k
Natascha Bushati Germany 10 3.2k 0.8× 2.7k 0.9× 232 0.7× 312 1.6× 383 2.0× 10 4.1k
Bruce Wightman United States 15 3.2k 0.8× 2.5k 0.8× 193 0.6× 359 1.8× 180 0.9× 23 4.0k
Benjamin P. Lewis United States 6 5.3k 1.3× 4.2k 1.4× 313 1.0× 369 1.9× 370 1.9× 10 6.4k
Helge Großhans Switzerland 34 5.7k 1.4× 4.2k 1.4× 225 0.7× 263 1.3× 312 1.6× 63 6.8k
Michael Basson United States 8 3.7k 0.9× 3.0k 1.0× 223 0.7× 451 2.3× 250 1.3× 16 4.9k
Sihem Cheloufi United States 16 4.0k 1.0× 2.1k 0.7× 251 0.8× 502 2.5× 293 1.5× 24 4.5k
Alena Shkumatava France 19 3.2k 0.8× 1.6k 0.5× 416 1.3× 381 1.9× 162 0.8× 29 3.7k

Countries citing papers authored by Scott Baskerville

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Scott Baskerville

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Baskerville. A scholar is included among the top collaborators of Scott Baskerville based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Scott Baskerville. Scott Baskerville is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Baskerville, Scott, et al.. (2021). Noninvasive Glucose Monitor Using Dielectric Spectroscopy. Endocrine Practice. 28(2). 142–147. 5 indexed citations
2.
Anderson, Emily M., Amanda Birmingham, Scott Baskerville, et al.. (2008). Experimental validation of the importance of seed complement frequency to siRNA specificity. RNA. 14(5). 853–861. 122 indexed citations
3.
Wang, Yangming, Scott Baskerville, Archana Shenoy, et al.. (2008). Embryonic stem cell–specific microRNAs regulate the G1-S transition and promote rapid proliferation. Nature Genetics. 40(12). 1478–1483. 519 indexed citations breakdown →
4.
Rao, Prakash K., et al.. (2007). Myogenic factors that regulate expression of myogenic microRNAs. The FASEB Journal. 21(5). 1 indexed citations
5.
Vermeulen, A.N., Barbara Robertson, Andrew B Dalby, et al.. (2007). Double-stranded regions are essential design components of potent inhibitors of RISC function. RNA. 13(5). 723–730. 89 indexed citations
6.
Birmingham, Amanda, Emily M. Anderson, Angela Reynolds, et al.. (2006). 3′ UTR seed matches, but not overall identity, are associated with RNAi off-targets. Nature Methods. 3(3). 199–204. 689 indexed citations breakdown →
7.
Birmingham, Amanda, Emily M. Anderson, Angela Reynolds, et al.. (2006). Addendum: 3′ UTR seed matches, but not overall identity, are associated with RNAi off-targets. Nature Methods. 3(6). 487–487. 3 indexed citations
8.
Rao, Prakash K., et al.. (2006). Myogenic factors that regulate expression of muscle-specific microRNAs. Proceedings of the National Academy of Sciences. 103(23). 8721–8726. 568 indexed citations breakdown →
9.
Giráldez, Antonio J., Ryan M. Cinalli, Margaret E. Glasner, et al.. (2005). MicroRNAs Regulate Brain Morphogenesis in Zebrafish. Science. 308(5723). 833–838. 1030 indexed citations breakdown →
10.
Baskerville, Scott & David P. Bartel. (2005). Microarray profiling of microRNAs reveals frequent coexpression with neighboring miRNAs and host genes. RNA. 11(3). 241–247. 1156 indexed citations breakdown →
11.
Hornstein, Eran, Jennifer H. Mansfield, Soraya Yekta, et al.. (2005). The microRNA miR-196 acts upstream of Hoxb8 and Shh in limb development. Nature. 438(7068). 671–674. 324 indexed citations
12.
Baskerville, Scott & David P. Bartel. (2002). A ribozyme that ligates RNA to protein. Proceedings of the National Academy of Sciences. 99(14). 9154–9159. 35 indexed citations
13.
Jiang, Feng, Andrey Gorin, Weidong Hu, et al.. (1999). Anchoring an extended HTLV-1 Rex peptide within an RNA major groove containing junctional base triples. Structure. 7(12). 1461–S12. 41 indexed citations
14.
Baskerville, Scott, et al.. (1999). Polyvalent Rev Decoys Act as Artificial Rev-Responsive Elements. Journal of Virology. 73(5). 4341–4349. 17 indexed citations
15.
Baskerville, Scott, Maria L. Zapp, & Andrew D. Ellington. (1999). Anti-Rex Aptamers as Mimics of the Rex-Binding Element. Journal of Virology. 73(6). 4962–4971. 23 indexed citations
16.
Baskerville, Scott, et al.. (1998). Directed Evolutionary Descriptions of Natural RNA Structures. Cold Spring Harbor Monograph Archive. 35. 203–251. 1 indexed citations
17.
Conrad, Richard C., Scott Baskerville, & Andrew D. Ellington. (1995). In vitro selection methodologies to probe RNA function and structure. Molecular Diversity. 1(1). 69–78. 32 indexed citations
18.
Baskerville, Scott & Andrew D. Ellington. (1995). RNA Structure: Describing the elephant. Current Biology. 5(2). 120–123. 4 indexed citations
19.
Ellington, Andrew D., et al.. (1995). A simple code for protein:RNA interactions.. PubMed. 156–9. 3 indexed citations
20.
Baskerville, Scott, Maria L. Zapp, & Andrew D. Ellington. (1995). High-resolution mapping of the human T-cell leukemia virus type 1 Rex-binding element by in vitro selection. Journal of Virology. 69(12). 7559–7569. 41 indexed citations

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.

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