Hao Yan

39.3k total citations · 19 hit papers
292 papers, 32.0k citations indexed

About

Hao Yan is a scholar working on Molecular Biology, Ecology and Biomedical Engineering. According to data from OpenAlex, Hao Yan has authored 292 papers receiving a total of 32.0k indexed citations (citations by other indexed papers that have themselves been cited), including 265 papers in Molecular Biology, 84 papers in Ecology and 65 papers in Biomedical Engineering. Recurrent topics in Hao Yan's work include Advanced biosensing and bioanalysis techniques (256 papers), RNA Interference and Gene Delivery (108 papers) and DNA and Nucleic Acid Chemistry (98 papers). Hao Yan is often cited by papers focused on Advanced biosensing and bioanalysis techniques (256 papers), RNA Interference and Gene Delivery (108 papers) and DNA and Nucleic Acid Chemistry (98 papers). Hao Yan collaborates with scholars based in United States, China and Germany. Hao Yan's co-authors include Yan Liu, Jeanette Nangreave, Fei Zhang, Dongran Han, John H. Reif, Yonggang Ke, Thomas H. LaBean, Jaswinder Sharma, Zhengtao Deng and Minghui Liu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Hao Yan

282 papers receiving 31.5k citations

Hit Papers

DNA-Templated Self-Assembly of Protein Arrays and Highly ... 2002 2026 2010 2018 2003 2018 2011 2011 2017 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Yan United States 93 27.3k 9.4k 4.9k 4.3k 3.5k 292 32.0k
Nadrian C. Seeman United States 82 31.2k 1.1× 6.0k 0.6× 6.1k 1.2× 3.2k 0.8× 3.2k 0.9× 339 35.0k
Yan Liu United States 68 15.8k 0.6× 5.9k 0.6× 2.9k 0.6× 2.5k 0.6× 1.9k 0.6× 230 18.9k
Tim Liedl Germany 58 10.1k 0.4× 6.2k 0.7× 1.3k 0.3× 4.1k 1.0× 1.6k 0.5× 133 15.9k
Christof M. Niemeyer Germany 67 12.6k 0.5× 5.1k 0.5× 1.5k 0.3× 3.4k 0.8× 2.7k 0.8× 351 17.6k
Friedrich C. Simmel Germany 58 11.9k 0.4× 5.2k 0.5× 1.5k 0.3× 1.4k 0.3× 1.7k 0.5× 197 15.1k
Chengde Mao United States 57 11.9k 0.4× 3.2k 0.3× 2.3k 0.5× 2.9k 0.7× 1.4k 0.4× 232 14.9k
William M. Shih United States 48 13.3k 0.5× 4.1k 0.4× 2.8k 0.6× 1.1k 0.3× 790 0.2× 83 15.5k
Andrew J. Turberfield United Kingdom 50 10.1k 0.4× 3.5k 0.4× 1.6k 0.3× 1.2k 0.3× 2.3k 0.7× 125 13.5k
Hendrik Dietz Germany 52 11.5k 0.4× 4.3k 0.5× 2.5k 0.5× 927 0.2× 900 0.3× 134 13.5k
Shankar Balasubramanian United Kingdom 101 32.9k 1.2× 3.3k 0.4× 1.7k 0.3× 1.6k 0.4× 1.5k 0.4× 378 38.8k

Countries citing papers authored by Hao Yan

Since Specialization
Citations

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

Fields of papers citing papers by Hao Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hao Yan. 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 Hao Yan. The network helps show where Hao Yan may publish in the future.

Co-authorship network of co-authors of Hao Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Yan. A scholar is included among the top collaborators of Hao Yan 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 Hao Yan. Hao Yan 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.
Fan, Sisi, et al.. (2025). Morphology remodelling and membrane channel formation in synthetic cells via reconfigurable DNA nanorafts. Nature Materials. 24(2). 278–286. 10 indexed citations
2.
Matthies, Michael, et al.. (2025). High-speed 3D DNA PAINT and unsupervised clustering for unlocking 3D DNA origami cryptography. Nature Communications. 16(1). 11514–11514.
3.
Liang, Lei, Hao Yan, Haiyan Zhang, et al.. (2024). A simple and cost-effective fabrication of CO2 sensor via electrospinning polyether sulfone nanofibers toward ultra-high detection sensitivity. Optical Fiber Technology. 87. 103948–103948. 1 indexed citations
4.
Wu, Yunfei, et al.. (2024). Research on Online Monitoring Technology and Filtration Process of Inclusions in Aluminum Melt. Sensors. 24(9). 2757–2757. 1 indexed citations
5.
Yan, Hao, et al.. (2024). Bioinspired Photonic Systems Directed by Designer DNA Nanostructures. ACS Applied Optical Materials. 3(3). 552–568. 4 indexed citations
6.
Simmons, C.R., et al.. (2023). Site-Specific Arrangement and Structure Determination of Minor Groove Binding Molecules in Self-Assembled Three-Dimensional DNA Crystals. Journal of the American Chemical Society. 145(48). 26075–26085. 5 indexed citations
7.
Yang, Juanjuan, Kevin Jahnke, Ling Xin, et al.. (2023). Modulating Lipid Membrane Morphology by Dynamic DNA Origami Networks. Nano Letters. 23(14). 6330–6336. 9 indexed citations
8.
Zhou, Xu, Su Lin, & Hao Yan. (2022). Interfacing DNA nanotechnology and biomimetic photonic complexes: advances and prospects in energy and biomedicine. Journal of Nanobiotechnology. 20(1). 257–257. 17 indexed citations
9.
Simmons, C.R., Miroslav Krepl, Michael Matthies, et al.. (2022). The influence of Holliday junction sequence and dynamics on DNA crystal self-assembly. Nature Communications. 13(1). 3112–3112. 37 indexed citations
10.
Zhang, Lirong, Dongyan Chen, Jingjing Zhang, et al.. (2020). A novel cholchicine/gadolinium-loading tubulin self-assembly nanocarrier for MR imaging and chemotherapy of glioma. Nanotechnology. 31(25). 255601–255601. 6 indexed citations
11.
Yao, Guangbao, Fei Zhang, Fei Wang, et al.. (2020). Author Correction: Meta-DNA structures. Nature Chemistry. 13(6). 614–614. 3 indexed citations
12.
Simmons, C.R., et al.. (2020). A Self‐Assembled Rhombohedral DNA Crystal Scaffold with Tunable Cavity Sizes and High‐Resolution Structural Detail. Angewandte Chemie. 132(42). 18778–18785. 6 indexed citations
13.
Xu, Yang, Shuoxing Jiang, C.R. Simmons, et al.. (2019). Tunable Nanoscale Cages from Self-Assembling DNA and Protein Building Blocks. ACS Nano. 13(3). 3545–3554. 125 indexed citations
14.
Lan, Xiang, Zhaoming Su, Yadong Zhou, et al.. (2017). Programmable Supra‐Assembly of a DNA Surface Adapter for Tunable Chiral Directional Self‐Assembly of Gold Nanorods. Angewandte Chemie International Edition. 56(46). 14632–14636. 79 indexed citations
15.
Han, Dongran, Xiaodong Qi, Cameron Myhrvold, et al.. (2017). Single-stranded DNA and RNA origami. Science. 358(6369). 217 indexed citations
16.
Lan, Xiang, Zhaoming Su, Yadong Zhou, et al.. (2017). Programmable Supra‐Assembly of a DNA Surface Adapter for Tunable Chiral Directional Self‐Assembly of Gold Nanorods. Angewandte Chemie. 129(46). 14824–14828. 21 indexed citations
17.
Zhang, Fei, Yan Liu, & Hao Yan. (2013). Complex Archimedean Tiling Self-Assembled from DNA Nanostructures. Journal of the American Chemical Society. 135(20). 7458–7461. 62 indexed citations
18.
Han, Dongran, Suchetan Pal, Yang Yang, et al.. (2013). DNA Gridiron Nanostructures Based on Four-Arm Junctions. Science. 339(6126). 1412–1415. 229 indexed citations
19.
Lin, Chenxiang, Sherri Rinker, Xing Wang, et al.. (2008). In vivo cloning of artificial DNA nanostructures. Proceedings of the National Academy of Sciences. 105(46). 17626–17631. 95 indexed citations
20.
Lin, Chenxiang, Yonggang Ke, Yan Liu, et al.. (2007). Functional DNA Nanotube Arrays: Bottom‐Up Meets Top‐Down. Angewandte Chemie International Edition. 46(32). 6089–6092. 59 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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