Michelle Everett

55 total papers · 847 total citations
33 papers, 580 citations indexed

About

Michelle Everett is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Condensed Matter Physics. According to data from OpenAlex, Michelle Everett has authored 33 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 9 papers in Electrical and Electronic Engineering and 7 papers in Condensed Matter Physics. Recurrent topics in Michelle Everett's work include Methane Hydrates and Related Phenomena (7 papers), Nuclear materials and radiation effects (6 papers) and Advanced Condensed Matter Physics (6 papers). Michelle Everett is often cited by papers focused on Methane Hydrates and Related Phenomena (7 papers), Nuclear materials and radiation effects (6 papers) and Advanced Condensed Matter Physics (6 papers). Michelle Everett collaborates with scholars based in United States, Australia and United Kingdom. Michelle Everett's co-authors include Claudia J. Rawn, David J. Keffer, Jue Liu, Tommy J. Phelps, Po‐Hsiu Chien, Zhijia Du, Xianyang Wu, Bohang Song, Matthew G. Tucker and Lonnie Love and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

Michelle Everett

33 papers receiving 571 citations

Author Peers

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

Author Last Decade Papers Cites
Michelle Everett 213 197 111 74 68 33 580
Carlos Cuadrado‐Collados 212 1.0× 138 0.7× 239 2.2× 23 0.3× 147 2.2× 31 622
Dongju Seo 123 0.6× 109 0.6× 206 1.9× 22 0.3× 91 1.3× 32 533
Peng Huo 283 1.3× 214 1.1× 41 0.4× 22 0.3× 43 0.6× 58 695
Lijun Yan 219 1.0× 212 1.1× 110 1.0× 7 0.1× 85 1.3× 28 641
Lingling Zhao 222 1.0× 213 1.1× 37 0.3× 19 0.3× 90 1.3× 30 671
С. П. Бардаханов 233 1.1× 94 0.5× 68 0.6× 10 0.1× 58 0.9× 70 624
Adam Swanger 234 1.1× 81 0.4× 51 0.5× 37 0.5× 10 0.1× 38 622
Jing Chang 201 0.9× 79 0.4× 100 0.9× 14 0.2× 21 0.3× 27 557
Changrui Shi 144 0.7× 91 0.5× 260 2.3× 7 0.1× 95 1.4× 48 585
Wen Liang 181 0.8× 96 0.5× 14 0.1× 19 0.3× 56 0.8× 68 673

Countries citing papers authored by Michelle Everett

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Everett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Everett

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

All Works

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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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2026