Nan Yan

4.7k total citations
115 papers, 4.1k citations indexed

About

Nan Yan is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Organic Chemistry. According to data from OpenAlex, Nan Yan has authored 115 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Materials Chemistry, 42 papers in Electronic, Optical and Magnetic Materials and 39 papers in Organic Chemistry. Recurrent topics in Nan Yan's work include Gold and Silver Nanoparticles Synthesis and Applications (34 papers), Nanocluster Synthesis and Applications (33 papers) and Pickering emulsions and particle stabilization (28 papers). Nan Yan is often cited by papers focused on Gold and Silver Nanoparticles Synthesis and Applications (34 papers), Nanocluster Synthesis and Applications (33 papers) and Pickering emulsions and particle stabilization (28 papers). Nan Yan collaborates with scholars based in China, United States and South Korea. Nan Yan's co-authors include Qianwang Chen, Lin Hu, Hao Zhong, Wei Jiang, Yutian Zhu, Zhikun Wu, Yu Wang, Nan Xia, Lingwen Liao and Yan Li and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Nan Yan

108 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Yan China 37 2.6k 1.8k 1.3k 856 298 115 4.1k
M.A. Gabal Saudi Arabia 34 2.2k 0.8× 1.5k 0.8× 905 0.7× 289 0.3× 494 1.7× 95 2.9k
Teruyuki Nakato Japan 29 2.1k 0.8× 1.2k 0.7× 1.2k 0.9× 486 0.6× 836 2.8× 123 3.6k
O. Palchik Israel 36 2.9k 1.1× 955 0.5× 1.5k 1.1× 519 0.6× 653 2.2× 58 3.9k
Jean‐Yves Piquemal France 34 1.9k 0.7× 780 0.4× 602 0.5× 698 0.8× 568 1.9× 83 3.1k
François Senocq France 29 1.5k 0.6× 606 0.3× 841 0.6× 592 0.7× 483 1.6× 86 3.0k
Mukul Pradhan India 28 1.6k 0.6× 1.0k 0.6× 1.0k 0.8× 485 0.6× 752 2.5× 62 2.8k
Hsien‐Ming Kao Taiwan 40 2.5k 1.0× 911 0.5× 1.8k 1.3× 684 0.8× 403 1.4× 178 5.0k
Zuojiang Li United States 16 1.7k 0.7× 1.2k 0.7× 839 0.6× 245 0.3× 539 1.8× 19 2.8k
Guangsheng Pang China 34 2.4k 0.9× 768 0.4× 1.4k 1.0× 649 0.8× 1.1k 3.8× 130 4.2k
Shiyou Guan China 31 3.6k 1.4× 1.7k 1.0× 2.1k 1.6× 414 0.5× 615 2.1× 64 5.8k

Countries citing papers authored by Nan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Nan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Yan. A scholar is included among the top collaborators of Nan 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 Nan Yan. Nan 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.
2.
Yan, Nan, Ning Cong, Xuejie Liu, & Yutian Zhu. (2025). Recent Progress on Preparation of Anisotropic Block Copolymer Particles Self‐Assembled in 3D Emulsion Droplets. Macromolecular Rapid Communications. 46(9). e2401023–e2401023. 1 indexed citations
3.
Zha, Jun‐Wei, Nan Xia, Qing You, et al.. (2023). A compressed structure construction and transformation in metal nanoclusters. Science China Materials. 66(8). 3367–3372. 3 indexed citations
4.
Yan, Nan, Jun‐Wei Zha, Wanmiao Gu, et al.. (2023). Regulating the Electronic Structure of Metal Nanoclusters by Longitudinal Single-Dithiolate Substitution. The Journal of Physical Chemistry Letters. 14(13). 3216–3221. 3 indexed citations
5.
You, Qing, et al.. (2023). Nonstoichiometric and ligand-dependent paramagnetism of Au24Cd(SR)18 nanoclusters. Science China Materials. 66(12). 4886–4890. 1 indexed citations
6.
Liu, Xuejie, Nan Yan, Jing Jin, Yanqiu Du, & Wei Jiang. (2023). Polyhedral Colloidal Clusters Assembled from Amphiphilic Nanoparticles in Deformable Droplets. Nano Letters. 23(17). 8022–8028. 9 indexed citations
7.
Li, Jinlan, et al.. (2023). Quaternization-Assisted Assembly of Polymer-Tethered Gold Nanoparticles into Superlattices with a Tunable Structure. The Journal of Physical Chemistry C. 127(21). 10253–10260. 2 indexed citations
8.
Jin, Jing, et al.. (2023). How do the core mechanical properties affect the toughening of polypropylene with core-shell particles?. Journal of Polymer Research. 30(7). 5 indexed citations
9.
Feng, Xuan, Nan Yan, Jing Jin, & Wei Jiang. (2023). Disassembly of Amphiphilic AB Block Copolymer Vesicles in Selective Solvents: A Molecular Dynamics Simulation Study. Macromolecules. 56(6). 2560–2567. 9 indexed citations
10.
Yang, Jun, Lin Zhong, Nan Yan, et al.. (2022). Brittle-ductile transition of elastomer toughened HDPE: effect of elastomer modulus. Journal of Polymer Research. 29(5). 4 indexed citations
11.
Li, Jinlan, et al.. (2022). Hierarchical Colloidosomes and Superlattices via Confined Assembly of Polymer-Tethered Inorganic Nanoparticles. The Journal of Physical Chemistry C. 126(5). 2756–2762. 7 indexed citations
12.
Wu, Ming, Yingying Wang, Nan Yan, et al.. (2021). Self-Assembly of Polymeric Nanovesicles into Hierarchical Supervesicles and Its Application in Selectable Multicompartmental Encapsulation. Macromolecules. 54(4). 1905–1911. 8 indexed citations
13.
Liu, Xuejie, et al.. (2021). Hierarchical superstructures assembled from pH-responsive gold nanoparticles in deformable emulsion droplets. Chemical Communications. 57(79). 10258–10261. 9 indexed citations
14.
Liu, Changxu, Ming Wu, Lijie Duan, Nan Yan, & Wei Jiang. (2021). Hierarchical colloidosomes self-assembled from block copolymer micelles via emulsion interfacial confinement. Nanotechnology. 33(4). 45603–45603. 4 indexed citations
15.
Liu, Xuejie, et al.. (2020). Hierarchical Colloidosomes with a Highly Ordered and Oriented Arrangement of Gold Nanorods via Confined Assembly at the Emulsion Interface. The Journal of Physical Chemistry C. 124(37). 20458–20468. 13 indexed citations
16.
Yan, Nan, Xuejie Liu, Jintao Zhu, Yutian Zhu, & Wei Jiang. (2019). Well-Ordered Inorganic Nanoparticle Arrays Directed by Block Copolymer Nanosheets. ACS Nano. 13(6). 6638–6646. 109 indexed citations
17.
Geng, Zhen, et al.. (2019). Hierarchical self-assembly of a PS-b-P4VP/PS-b-PNIPAM mixture into multicompartment micelles and their response to two-dimensional confinement. Physical Chemistry Chemical Physics. 22(3). 1194–1203. 10 indexed citations
18.
Zhang, Yan, Xuejie Liu, Nan Yan, et al.. (2018). Confined Self-Assembly of Block Copolymers within the Three-Dimensional Soft Space. Huaxue jinzhan. 30. 166. 1 indexed citations
19.
Yan, Nan, Yutian Zhu, & Wei Jiang. (2018). Recent progress in the self-assembly of block copolymers confined in emulsion droplets. Chemical Communications. 54(94). 13183–13195. 117 indexed citations
20.
Yan, Nan, et al.. (2014). Computer Simulation of Self-Assembly of Block Copolymers in Selective Solvent. Huaxue jinzhan. 26(203). 358. 2 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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