Shay G. Wallace

19 total papers · 786 total citations
18 papers, 667 citations indexed

About

Shay G. Wallace is a scholar working on Biomedical Engineering, Materials Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Shay G. Wallace has authored 18 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 8 papers in Materials Chemistry and 4 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Shay G. Wallace's work include Graphene research and applications (5 papers), Advanced Sensor and Energy Harvesting Materials (5 papers) and Supercapacitor Materials and Fabrication (4 papers). Shay G. Wallace is often cited by papers focused on Graphene research and applications (5 papers), Advanced Sensor and Energy Harvesting Materials (5 papers) and Supercapacitor Materials and Fabrication (4 papers). Shay G. Wallace collaborates with scholars based in United States and South Korea. Shay G. Wallace's co-authors include Mark C. Hersam, Ethan B. Secor, Jian Zhu, Karl W. Putz, Theodore Z. Gao, Nikhita D. Mansukhani, Vinod K. Sangwan, Jung-Woo T. Seo, Ramille N. Shah and Linda M. Guiney and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nano Letters and Chemistry of Materials.

In The Last Decade

Shay G. Wallace

18 papers receiving 654 citations

Author Peers

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

Author						Papers	Cites
Shay G. Wallace	345	321	272	101	82	18	667
Geon‐Woong Lee	344 1.0×	313 1.0×	272 1.0×	116 1.1×	78 1.0×	10	662
Ji‐Hyun Jang	229 0.7×	281 0.9×	376 1.4×	108 1.1×	111 1.4×	17	764
Chen Wang	232 0.7×	301 0.9×	341 1.3×	137 1.4×	60 0.7×	24	709
Jong Seok Woo	290 0.8×	352 1.1×	338 1.2×	101 1.0×	48 0.6×	26	734
Wendong Yang	266 0.8×	370 1.2×	353 1.3×	87 0.9×	77 0.9×	27	734
Sanjay Thorat	254 0.7×	202 0.6×	149 0.5×	113 1.1×	60 0.7×	27	650
Hongying He	383 1.1×	212 0.7×	253 0.9×	138 1.4×	32 0.4×	16	614
Apurba Das	373 1.1×	373 1.2×	199 0.7×	118 1.2×	38 0.5×	33	773
Han Ma	308 0.9×	290 0.9×	303 1.1×	71 0.7×	46 0.6×	17	727
Lauren W. Taylor	387 1.1×	229 0.7×	184 0.7×	97 1.0×	39 0.5×	23	667

Countries citing papers authored by Shay G. Wallace

Since Specialization

Citations

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

Fields of papers citing papers by Shay G. Wallace

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shay G. Wallace. 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 Shay G. Wallace. The network helps show where Shay G. Wallace may publish in the future.

Co-authorship network of co-authors of Shay G. Wallace

This figure shows the co-authorship network connecting the top 25 collaborators of Shay G. Wallace. A scholar is included among the top collaborators of Shay G. Wallace 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 Shay G. Wallace. Shay G. Wallace 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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