Michelle Muzzio

2.3k total citations · 1 hit paper
32 papers, 2.1k citations indexed

About

Michelle Muzzio is a scholar working on Materials Chemistry, Organic Chemistry and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Michelle Muzzio has authored 32 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 14 papers in Organic Chemistry and 12 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Michelle Muzzio's work include Nanomaterials for catalytic reactions (10 papers), CO2 Reduction Techniques and Catalysts (8 papers) and Catalytic Processes in Materials Science (7 papers). Michelle Muzzio is often cited by papers focused on Nanomaterials for catalytic reactions (10 papers), CO2 Reduction Techniques and Catalysts (8 papers) and Catalytic Processes in Materials Science (7 papers). Michelle Muzzio collaborates with scholars based in United States, China and Canada. Michelle Muzzio's co-authors include Shouheng Sun, Chao Yu, Junrui Li, Zhouyang Yin, Zheng Xi, Honghong Lin, Dong Su, Mengqi Shen, Peng Zhang and Xuefeng Guo and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nano Letters.

In The Last Decade

Michelle Muzzio

31 papers receiving 2.0k citations

Hit Papers

Hard-Magnet L10-CoPt Nano... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michelle Muzzio 1.3k 1.0k 723 444 439 32 2.1k
Yuan Tan 792 0.6× 1.2k 1.2× 462 0.6× 363 0.8× 421 1.0× 48 1.9k
Adam H. Clark 1.3k 1.0× 1.7k 1.7× 671 0.9× 463 1.0× 759 1.7× 105 2.6k
Dario Faust Akl 1.2k 1.0× 1.2k 1.2× 417 0.6× 353 0.8× 503 1.1× 16 1.9k
Quanchen Feng 1.2k 0.9× 1.3k 1.3× 497 0.7× 504 1.1× 461 1.1× 21 2.1k
Chengyi Hu 1.2k 0.9× 1.2k 1.2× 970 1.3× 257 0.6× 269 0.6× 23 2.2k
Young Feng Li 1.1k 0.9× 913 0.9× 279 0.4× 365 0.8× 584 1.3× 14 2.0k
Selina K. Kaiser 1.2k 0.9× 1.5k 1.5× 312 0.4× 674 1.5× 652 1.5× 25 2.1k
Érico Teixeira‐Neto 754 0.6× 845 0.8× 480 0.7× 314 0.7× 249 0.6× 56 1.7k
Dariya Dontsova 2.5k 1.9× 2.4k 2.4× 859 1.2× 744 1.7× 391 0.9× 23 3.3k

Countries citing papers authored by Michelle Muzzio

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Muzzio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Muzzio

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Muzzio. A scholar is included among the top collaborators of Michelle Muzzio 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 Michelle Muzzio. Michelle Muzzio 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.
Muzzio, Michelle. (2023). Imagined futures of the automotive industry stemming from uncertainty. Joule. 7(6). 1099–1100. 2 indexed citations
2.
Shen, Mengqi, Chao Yu, Huanqin Guan, et al.. (2021). Nanoparticle-Catalyzed Green Chemistry Synthesis of Polybenzoxazole. Journal of the American Chemical Society. 143(4). 2115–2122. 21 indexed citations
3.
Muzzio, Michelle. (2021). The best of both worlds in material synthesis to understand metal-support interactions. Matter. 4(11). 3382–3384. 1 indexed citations
4.
Barabas, Marie E., Rituparna Chakrabarti, & Michelle Muzzio. (2021). One common enemy, a pandemic, uniting interdisciplinary teams. iScience. 24(9). 102992–102992. 1 indexed citations
5.
Muzzio, Michelle, et al.. (2021). Project Symphony: A Biophysics Research Experience at a Primarily Undergraduate Institution. 2(1). 1–5. 1 indexed citations
6.
Muzzio, Michelle. (2020). Electrolysis in Flux. Joule. 4(12). 2541–2543.
7.
Muzzio, Michelle. (2020). It Is Time to Think about Scale. Joule. 4(7). 1366–1368. 6 indexed citations
8.
Muzzio, Michelle, Honghong Lin, Kecheng Wei, et al.. (2020). Efficient Hydrogen Generation from Ammonia Borane and Tandem Hydrogenation or Hydrodehalogenation over AuPd Nanoparticles. ACS Sustainable Chemistry & Engineering. 8(7). 2814–2821. 57 indexed citations
9.
Li, Junrui, Shubham Sharma, Kecheng Wei, et al.. (2020). Anisotropic Strain Tuning of L10 Ternary Nanoparticles for Oxygen Reduction. Journal of the American Chemical Society. 142(45). 19209–19216. 109 indexed citations
10.
Muzzio, Michelle, Chao Yu, Honghong Lin, et al.. (2019). Reductive amination of ethyl levulinate to pyrrolidones over AuPd nanoparticles at ambient hydrogen pressure. Green Chemistry. 21(8). 1895–1899. 47 indexed citations
11.
Lin, Honghong, Michelle Muzzio, Kecheng Wei, et al.. (2019). PdAu Alloy Nanoparticles for Ethanol Oxidation in Alkaline Conditions: Enhanced Activity and C1 Pathway Selectivity. ACS Applied Energy Materials. 2(12). 8701–8706. 55 indexed citations
12.
Xi, Zheng, Xun Cheng, Zhuangqiang Gao, et al.. (2019). Strain Effect in Palladium Nanostructures as Nanozymes. Nano Letters. 20(1). 272–277. 121 indexed citations
13.
Yin, Zhouyang, Chao Yu, Zhonglong Zhao, et al.. (2019). Cu3N Nanocubes for Selective Electrochemical Reduction of CO2 to Ethylene. Nano Letters. 19(12). 8658–8663. 223 indexed citations
14.
Shen, Mengqi, Hu Liu, Chao Yu, et al.. (2018). Room-Temperature Chemoselective Reduction of 3-Nitrostyrene to 3-Vinylaniline by Ammonia Borane over Cu Nanoparticles. Journal of the American Chemical Society. 140(48). 16460–16463. 85 indexed citations
15.
Yu, Chao, Xuefeng Guo, Bo Shen, et al.. (2018). One-pot formic acid dehydrogenation and synthesis of benzene-fused heterocycles over reusable AgPd/WO2.72 nanocatalyst. Journal of Materials Chemistry A. 6(46). 23766–23772. 35 indexed citations
16.
Yu, Chao, Xuefeng Guo, Michelle Muzzio, Christopher T. Seto, & Shouheng Sun. (2018). Self‐Assembly of Nanoparticles into Two‐Dimensional Arrays for Catalytic Applications. ChemPhysChem. 20(1). 23–30. 19 indexed citations
17.
Yu, Chao, Xuefeng Guo, Mengqi Shen, et al.. (2017). Maximizing the Catalytic Activity of Nanoparticles through Monolayer Assembly on Nitrogen‐Doped Graphene. Angewandte Chemie. 130(2). 460–464. 2 indexed citations
18.
Xi, Zheng, Daniel P. Erdosy, Adriana Mendoza‐Garcia, et al.. (2017). Pd Nanoparticles Coupled to WO2.72 Nanorods for Enhanced Electrochemical Oxidation of Formic Acid. Nano Letters. 17(4). 2727–2731. 141 indexed citations
19.
Yu, Chao, Xuefeng Guo, Mengqi Shen, et al.. (2017). Maximizing the Catalytic Activity of Nanoparticles through Monolayer Assembly on Nitrogen‐Doped Graphene. Angewandte Chemie International Edition. 57(2). 451–455. 56 indexed citations
20.
Xi, Zheng, Junrui Li, Dong Su, et al.. (2017). Stabilizing CuPd Nanoparticles via CuPd Coupling to WO2.72 Nanorods in Electrochemical Oxidation of Formic Acid. Journal of the American Chemical Society. 139(42). 15191–15196. 111 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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