Matthew Ye

422 total citations
10 papers, 327 citations indexed

About

Matthew Ye is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Matthew Ye has authored 10 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electronic, Optical and Magnetic Materials, 4 papers in Materials Chemistry and 3 papers in Molecular Biology. Recurrent topics in Matthew Ye's work include Gold and Silver Nanoparticles Synthesis and Applications (4 papers), Pickering emulsions and particle stabilization (3 papers) and DNA and Nucleic Acid Chemistry (2 papers). Matthew Ye is often cited by papers focused on Gold and Silver Nanoparticles Synthesis and Applications (4 papers), Pickering emulsions and particle stabilization (3 papers) and DNA and Nucleic Acid Chemistry (2 papers). Matthew Ye collaborates with scholars based in United States, Poland and Germany. Matthew Ye's co-authors include Robert J. Macfarlane, Daryl W. Yee, Margaret Lee, Paul S. Weiss, John M. Abendroth, Eric E. Fullerton, Anne M. Andrews, Dokyun Kim, Nako Nakatsuka and Kazuya Miyagawa and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Matthew Ye

7 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Ye United States 6 98 83 73 64 58 10 327
Yan Jie Zhang China 12 153 1.6× 123 1.5× 40 0.5× 100 1.6× 43 0.7× 32 410
Bożena Sikora Poland 12 229 2.3× 83 1.0× 32 0.4× 58 0.9× 17 0.3× 25 362
Welley Siu Loc United States 10 237 2.4× 110 1.3× 41 0.6× 73 1.1× 21 0.4× 13 408
Bingshuai Zhou China 12 209 2.1× 141 1.7× 24 0.3× 56 0.9× 49 0.8× 20 390
Jin Gyeong Son South Korea 13 142 1.4× 94 1.1× 74 1.0× 114 1.8× 35 0.6× 34 447
Tami Freeman United Kingdom 7 107 1.1× 142 1.7× 38 0.5× 37 0.6× 44 0.8× 9 415
Liheng Sun China 11 209 2.1× 159 1.9× 26 0.4× 64 1.0× 53 0.9× 22 350
Liangwei Yang China 7 413 4.2× 129 1.6× 56 0.8× 73 1.1× 59 1.0× 17 594
Marija Matulionytė Lithuania 8 305 3.1× 101 1.2× 67 0.9× 48 0.8× 58 1.0× 11 375
Y. Narita Japan 8 108 1.1× 67 0.8× 18 0.2× 98 1.5× 19 0.3× 18 341

Countries citing papers authored by Matthew Ye

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Ye

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

All Works

10 of 10 papers shown
1.
Thrasher, Carl J., Rebecca L. Li, Theodore Hueckel, et al.. (2025). Forging Nanoparticle Superlattices with Colloidal Metallurgy. ACS Nano. 19(22). 20753–20764.
2.
Vasileiadis, Thomas, Adnane Noual, Matthew Ye, et al.. (2025). Acoustoplasmonic Metasurfaces Based on Polymer-Grafted Nanoparticles. Nano Letters. 25(32). 12351–12359.
3.
Sass, J.K., et al.. (2025). Modeling the role of supramolecular clustering in multivalent assembly. Soft Matter. 21(20). 4043–4052.
4.
Li, Rebecca L., et al.. (2024). Molecular Additives as Competitive Binding Agents to Control Supramolecular-Driven Nanoparticle Assembly. SHILAP Revista de lepidopterología. 4(6). 374–380. 3 indexed citations
5.
Ye, Matthew, et al.. (2024). Nanoparticle Superlattices with Nonequilibrium Crystal Shapes. ACS Nano. 18(24). 15970–15977. 6 indexed citations
6.
Lee, Margaret, Daryl W. Yee, Matthew Ye, & Robert J. Macfarlane. (2022). Nanoparticle Assembly as a Materials Development Tool. Journal of the American Chemical Society. 144(8). 3330–3346. 110 indexed citations
7.
Nasajpour, Amir, Azadeh Mostafavi, Adrian Chlanda, et al.. (2020). Cholesteryl Ester Liquid Crystal Nanofibers for Tissue Engineering Applications. ACS Materials Letters. 2(9). 1067–1073. 26 indexed citations
8.
Stemer, Dominik, John M. Abendroth, Kevin M. Cheung, et al.. (2020). Differential Charging in Photoemission from Mercurated DNA Monolayers on Ferromagnetic Films. Nano Letters. 20(2). 1218–1225. 15 indexed citations
9.
Abendroth, John M., Nako Nakatsuka, Matthew Ye, et al.. (2017). Analyzing Spin Selectivity in DNA-Mediated Charge Transfer via Fluorescence Microscopy. ACS Nano. 11(7). 7516–7526. 90 indexed citations
10.
Chen, Pin-I, Aiqin Cao, Kazuya Miyagawa, et al.. (2017). Amphetamines promote mitochondrial dysfunction and DNA damage in pulmonary hypertension. JCI Insight. 2(2). e90427–e90427. 77 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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