Gyeong‐Tak Go

13 papers and 918 indexed citations i.

About

Gyeong‐Tak Go is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gyeong‐Tak Go has authored 13 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 10 papers in Polymers and Plastics and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gyeong‐Tak Go’s work include Conducting polymers and applications (10 papers), Advanced Memory and Neural Computing (9 papers) and Neuroscience and Neural Engineering (5 papers). Gyeong‐Tak Go is often cited by papers focused on Conducting polymers and applications (10 papers), Advanced Memory and Neural Computing (9 papers) and Neuroscience and Neural Engineering (5 papers). Gyeong‐Tak Go collaborates with scholars based in South Korea and United States. Gyeong‐Tak Go's co-authors include Tae‐Woo Lee, Dae‐Gyo Seo, Yeongjun Lee, Hea‐Lim Park, Wanhee Lee, Hoichang Yang, Mingyuan Pei, Young‐Hoon Kim, Hyeon‐Dong Lee and Wentao Xu and has published in prestigious journals such as Advanced Materials, Advanced Functional Materials and Nano Energy.

In The Last Decade

Co-authorship network of co-authors of Gyeong‐Tak Go i

Fields of papers citing papers by Gyeong‐Tak Go

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gyeong‐Tak Go. 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 Gyeong‐Tak Go. The network helps show where Gyeong‐Tak Go may publish in the future.

Countries citing papers authored by Gyeong‐Tak Go

Since Specialization
Citations

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

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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2025