Sung Hee Um

74 total papers · 5.7k total citations
56 papers, 4.7k citations indexed

About

Sung Hee Um is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Sung Hee Um has authored 56 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 11 papers in Physiology and 10 papers in Immunology. Recurrent topics in Sung Hee Um's work include Adipose Tissue and Metabolism (9 papers), PI3K/AKT/mTOR signaling in cancer (8 papers) and Metabolism, Diabetes, and Cancer (8 papers). Sung Hee Um is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), PI3K/AKT/mTOR signaling in cancer (8 papers) and Metabolism, Diabetes, and Cancer (8 papers). Sung Hee Um collaborates with scholars based in South Korea, United States and Switzerland. Sung Hee Um's co-authors include George Thomas, Sara C. Kozma, Melanie Sticker, David D’Alessio, Stefano Fumagalli, Francesca Frigerio, Johan Auwerx, Frédéric Picard, Manel Joaquin and Peter R. Allegrini and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Sung Hee Um

53 papers receiving 4.6k citations

Hit Papers

Absence of S6K1 protects ... 2004 2026 2011 2018 2004 2004 2006 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Sung Hee Um 3.2k 1.1k 639 634 483 56 4.7k
Olga Göransson 3.0k 0.9× 755 0.7× 528 0.8× 1.1k 1.7× 383 0.8× 58 4.0k
Thurl E. Harris 3.8k 1.2× 988 0.9× 751 1.2× 650 1.0× 949 2.0× 70 5.8k
Nicholas F. Brown 2.3k 0.7× 1.1k 1.0× 585 0.9× 335 0.5× 321 0.7× 60 3.9k
Jae Myoung Suh 2.4k 0.7× 1.6k 1.5× 1.2k 1.8× 570 0.9× 375 0.8× 42 4.7k
Mireille Cormont 2.3k 0.7× 1.0k 0.9× 779 1.2× 735 1.2× 964 2.0× 74 3.9k
Lynne Yenush 3.6k 1.1× 714 0.7× 577 0.9× 700 1.1× 544 1.1× 69 5.3k
Tetsuo Shioi 3.8k 1.2× 865 0.8× 723 1.1× 964 1.5× 348 0.7× 73 7.0k
Naoki Sawada 2.0k 0.6× 901 0.8× 545 0.9× 385 0.6× 418 0.9× 81 3.7k
Tetsuaki Hirase 3.0k 0.9× 844 0.8× 389 0.6× 598 0.9× 583 1.2× 57 6.1k
Mario Pende 3.9k 1.2× 824 0.8× 578 0.9× 886 1.4× 902 1.9× 72 5.7k

Countries citing papers authored by Sung Hee Um

Since Specialization
Citations

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

Fields of papers citing papers by Sung Hee Um

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung Hee Um. 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 Sung Hee Um. The network helps show where Sung Hee Um may publish in the future.

Co-authorship network of co-authors of Sung Hee Um

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Hee Um. A scholar is included among the top collaborators of Sung Hee Um 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 Sung Hee Um. Sung Hee Um 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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