Kyungmoo Yea

80 total papers · 2.1k total citations
61 papers, 1.7k citations indexed

About

Kyungmoo Yea is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Kyungmoo Yea has authored 61 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 14 papers in Immunology and 12 papers in Physiology. Recurrent topics in Kyungmoo Yea's work include Extracellular vesicles in disease (11 papers), Adipose Tissue and Metabolism (11 papers) and Metabolism, Diabetes, and Cancer (8 papers). Kyungmoo Yea is often cited by papers focused on Extracellular vesicles in disease (11 papers), Adipose Tissue and Metabolism (11 papers) and Metabolism, Diabetes, and Cancer (8 papers). Kyungmoo Yea collaborates with scholars based in South Korea, United States and China. Kyungmoo Yea's co-authors include Sung Ho Ryu, Richard A. Lerner, Jia Xie, Jong Hyuk Yoon, Hongkai Zhang, Moon‐Chang Baek, Jaeyoon Kim, Pann‐Ghill Suh, Seyoung Lim and Kyong Soo Park and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Kyungmoo Yea

57 papers receiving 1.6k citations

Hit Papers

Modification of immune ce... 2024 2026 2024 20 40 60

Author Peers

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

Author Last Decade Papers Cites
Kyungmoo Yea 1.0k 333 284 217 206 61 1.7k
Yongxin Yu 789 0.8× 249 0.7× 302 1.1× 147 0.7× 117 0.6× 72 1.8k
Akihiko Kuniyasu 927 0.9× 289 0.9× 262 0.9× 166 0.8× 164 0.8× 61 1.8k
Angela Cattaneo 1.0k 1.0× 271 0.8× 359 1.3× 129 0.6× 259 1.3× 45 2.1k
Bert Binas 1.5k 1.5× 521 1.6× 216 0.8× 191 0.9× 305 1.5× 67 2.3k
Sujoy Bhattacharya 1.1k 1.1× 287 0.9× 262 0.9× 119 0.5× 260 1.3× 54 1.9k
Shawn C. Black 1.1k 1.1× 248 0.7× 216 0.8× 166 0.8× 202 1.0× 46 2.0k
Shunsuke Kubota 873 0.9× 322 1.0× 165 0.6× 283 1.3× 246 1.2× 49 2.2k
Jing Li 1.1k 1.1× 240 0.7× 199 0.7× 328 1.5× 137 0.7× 57 2.2k
Khurshid Iqbal Andrabi 1.5k 1.4× 224 0.7× 198 0.7× 137 0.6× 217 1.1× 71 2.1k
Tosifusa Toda 1.2k 1.2× 249 0.7× 218 0.8× 171 0.8× 182 0.9× 71 2.0k

Countries citing papers authored by Kyungmoo Yea

Since Specialization
Citations

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

Fields of papers citing papers by Kyungmoo Yea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyungmoo Yea

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