Sangmoon Yoon

76 total papers · 1.3k total citations
41 papers, 964 citations indexed

About

Sangmoon Yoon is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Condensed Matter Physics. According to data from OpenAlex, Sangmoon Yoon has authored 41 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Materials Chemistry, 19 papers in Electronic, Optical and Magnetic Materials and 14 papers in Condensed Matter Physics. Recurrent topics in Sangmoon Yoon's work include ZnO doping and properties (12 papers), Electronic and Structural Properties of Oxides (12 papers) and Magnetic and transport properties of perovskites and related materials (11 papers). Sangmoon Yoon is often cited by papers focused on ZnO doping and properties (12 papers), Electronic and Structural Properties of Oxides (12 papers) and Magnetic and transport properties of perovskites and related materials (11 papers). Sangmoon Yoon collaborates with scholars based in South Korea, United States and Japan. Sangmoon Yoon's co-authors include Taeghwan Hyeon, Jinwoo Lee, Chae‐Ho Shin, Seung M. Oh, Miyoung Kim, Seung‐Yong Lee, Seong‐Hyeon Hong, Won-Sik Kim, Kisuk Kang and Young‐Kyun Kwon and has published in prestigious journals such as Advanced Materials, Nature Communications and Nano Letters.

In The Last Decade

Sangmoon Yoon

36 papers receiving 942 citations

Author Peers

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

Author Last Decade Papers Cites
Sangmoon Yoon 556 431 407 115 101 41 964
Xing Ming 778 1.4× 574 1.3× 286 0.7× 134 1.2× 139 1.4× 75 1.1k
J. Ghose 676 1.2× 253 0.6× 302 0.7× 108 0.9× 229 2.3× 56 877
Yu Jia 618 1.1× 343 0.8× 279 0.7× 170 1.5× 120 1.2× 67 1.1k
Abanti Nag 1.0k 1.8× 425 1.0× 395 1.0× 130 1.1× 89 0.9× 33 1.2k
Nalini G. Sundaram 574 1.0× 477 1.1× 300 0.7× 107 0.9× 200 2.0× 32 966
Anli Yang 569 1.0× 411 1.0× 276 0.7× 186 1.6× 134 1.3× 55 874
V. N. Ivanovski 539 1.0× 233 0.5× 348 0.9× 112 1.0× 167 1.7× 48 834
Juping Xu 522 0.9× 711 1.6× 368 0.9× 63 0.5× 65 0.6× 48 1.2k
Alexander Börger 633 1.1× 725 1.7× 247 0.6× 44 0.4× 153 1.5× 41 1.2k
J.C. Grenier 832 1.5× 361 0.8× 523 1.3× 236 2.1× 86 0.9× 38 1.1k

Countries citing papers authored by Sangmoon Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Sangmoon Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangmoon Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Sangmoon Yoon. A scholar is included among the top collaborators of Sangmoon Yoon 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 Sangmoon Yoon. Sangmoon Yoon 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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