Shawn M. Douglas

9.3k total citations · 4 hit papers
19 papers, 6.9k citations indexed

About

Shawn M. Douglas is a scholar working on Molecular Biology, Ecology and Structural Biology. According to data from OpenAlex, Shawn M. Douglas has authored 19 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Ecology and 2 papers in Structural Biology. Recurrent topics in Shawn M. Douglas's work include Advanced biosensing and bioanalysis techniques (13 papers), Bacteriophages and microbial interactions (8 papers) and RNA Interference and Gene Delivery (8 papers). Shawn M. Douglas is often cited by papers focused on Advanced biosensing and bioanalysis techniques (13 papers), Bacteriophages and microbial interactions (8 papers) and RNA Interference and Gene Delivery (8 papers). Shawn M. Douglas collaborates with scholars based in United States, India and Germany. Shawn M. Douglas's co-authors include William M. Shih, George M. Church, Hendrik Dietz, Ido Bachelet, Tim Liedl, Franziska Graf, Björn Högberg, Adam Marblestone, Alejandro Vázquez and Surat Teerapittayanon and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Shawn M. Douglas

19 papers receiving 6.8k citations

Hit Papers

Self-assembly of DNA into... 2009 2026 2014 2020 2009 2012 2009 2009 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shawn M. Douglas United States 16 6.4k 2.2k 1.5k 402 401 19 6.9k
Jeanette Nangreave United States 23 4.3k 0.7× 1.5k 0.7× 783 0.5× 355 0.9× 478 1.2× 25 4.8k
Björn Högberg Sweden 24 4.5k 0.7× 1.6k 0.7× 987 0.7× 302 0.8× 335 0.8× 69 5.3k
Fei Zhang United States 27 4.1k 0.6× 1.3k 0.6× 885 0.6× 326 0.8× 443 1.1× 63 4.6k
Thomas H. LaBean United States 38 6.4k 1.0× 1.6k 0.7× 1.3k 0.8× 541 1.3× 892 2.2× 87 7.5k
Chenxiang Lin United States 35 3.9k 0.6× 1.4k 0.6× 768 0.5× 302 0.8× 864 2.2× 95 5.1k
Ruojie Sha United States 32 3.5k 0.5× 820 0.4× 725 0.5× 296 0.7× 515 1.3× 113 4.0k
Paul W. K. Rothemund United States 27 9.0k 1.4× 2.9k 1.3× 1.6k 1.1× 711 1.8× 785 2.0× 38 10.3k
Yonggang Ke United States 51 8.6k 1.3× 3.3k 1.5× 1.6k 1.1× 1.3k 3.1× 1.1k 2.9× 148 10.0k
Hendrik Dietz Germany 52 11.5k 1.8× 4.3k 2.0× 2.5k 1.7× 614 1.5× 927 2.3× 134 13.5k
Yu He United States 23 3.1k 0.5× 804 0.4× 671 0.4× 287 0.7× 435 1.1× 37 3.7k

Countries citing papers authored by Shawn M. Douglas

Since Specialization
Citations

This map shows the geographic impact of Shawn M. Douglas'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 Shawn M. Douglas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawn M. Douglas more than expected).

Fields of papers citing papers by Shawn M. Douglas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn M. Douglas. 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 Shawn M. Douglas. The network helps show where Shawn M. Douglas may publish in the future.

Co-authorship network of co-authors of Shawn M. Douglas

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn M. Douglas. A scholar is included among the top collaborators of Shawn M. Douglas 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 Shawn M. Douglas. Shawn M. Douglas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Aksel, Tural, et al.. (2024). Design principles for accurate folding of DNA origami. Proceedings of the National Academy of Sciences. 121(48). e2406769121–e2406769121. 2 indexed citations
2.
Shen, Konlin, et al.. (2024). Engineering an Escherichia coli strain for production of long single-stranded DNA. Nucleic Acids Research. 52(7). 4098–4107. 4 indexed citations
3.
Dong, Rui, Tural Aksel, Waipan Chan, et al.. (2021). DNA origami patterning of synthetic T cell receptors reveals spatial control of the sensitivity and kinetics of signal activation. Proceedings of the National Academy of Sciences. 118(40). 48 indexed citations
4.
Gläser, Martin, et al.. (2021). The Art of Designing DNA Nanostructures with CAD Software. Molecules. 26(8). 2287–2287. 23 indexed citations
5.
Kern, Nadja, Rui Dong, Shawn M. Douglas, Ronald D. Vale, & Meghan A. Morrissey. (2021). Tight nanoscale clustering of Fcγ receptors using DNA origami promotes phagocytosis. eLife. 10. 42 indexed citations
6.
Aksel, Tural, Zanlin Yu, Yifan Cheng, & Shawn M. Douglas. (2020). Molecular goniometers for single-particle cryo-electron microscopy of DNA-binding proteins. Nature Biotechnology. 39(3). 378–386. 30 indexed citations
7.
Wang, Feng, Zanlin Yu, Miguel Betegon, et al.. (2019). Amino and PEG-amino graphene oxide grids enrich and protect samples for high-resolution single particle cryo-electron microscopy. Journal of Structural Biology. 209(2). 107437–107437. 42 indexed citations
8.
Aksel, Tural, et al.. (2018). Construction of a novel phagemid to produce custom DNA origami scaffolds. PubMed. 3(1). 47 indexed citations
9.
Blumer, Katy, et al.. (2016). Folding complex DNA nanostructures from limited sets of reusable sequences. Nucleic Acids Research. 44(11). e102–e102. 19 indexed citations
10.
Douglas, Shawn M., Ido Bachelet, & George M. Church. (2012). A Logic-Gated Nanorobot for Targeted Transport of Molecular Payloads. Science. 335(6070). 831–834. 1719 indexed citations breakdown →
11.
Dietz, Hendrik, Shawn M. Douglas, & William M. Shih. (2009). Folding DNA into Twisted and Curved Nanoscale Shapes. Science. 325(5941). 725–730. 1065 indexed citations breakdown →
12.
Douglas, Shawn M., Adam Marblestone, Surat Teerapittayanon, et al.. (2009). Rapid prototyping of 3D DNA-origami shapes with caDNAno. Nucleic Acids Research. 37(15). 5001–5006. 955 indexed citations breakdown →
13.
Douglas, Shawn M., Hendrik Dietz, Tim Liedl, et al.. (2009). Self-assembly of DNA into nanoscale three-dimensional shapes. Nature. 459(7245). 414–418. 2054 indexed citations breakdown →
14.
Ke, Yonggang, Shawn M. Douglas, Minghui Liu, et al.. (2009). Multilayer DNA Origami Packed on a Square Lattice. Journal of the American Chemical Society. 131(43). 15903–15908. 342 indexed citations
15.
Douglas, Shawn M., James J. Chou, & William M. Shih. (2007). DNA-nanotube-induced alignment of membrane proteins for NMR structure determination. Proceedings of the National Academy of Sciences. 104(16). 6644–6648. 370 indexed citations
16.
Smith, Andrew, et al.. (2005). Network security and data integrity in academia: an assessment and a proposal for large-scale archiving.. Genome Biology. 6(9). 119–119. 20 indexed citations
17.
Douglas, Shawn M., G.T. Montelione, & Mark Gerstein. (2005). PubNet: a flexible system for visualizing literature derived networks. Genome biology. 6(9). R80–R80. 37 indexed citations
18.
Cheung, Kei‐Hoi, et al.. (2004). A XML-Based Approach to Integrating Heterogeneous Yeast Genome Data.. 236–242. 1 indexed citations
19.
Lan, Ning, Shawn M. Douglas, Baolin Wu, et al.. (2003). Mining the Structural Genomics Pipeline: Identification of Protein Properties that Affect High-throughput Experimental Analysis. Journal of Molecular Biology. 336(1). 115–130. 119 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026