Jae‐Young Um

291 total papers · 8.9k total citations
262 papers, 7.5k citations indexed

About

Jae‐Young Um is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Jae‐Young Um has authored 262 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Molecular Biology, 51 papers in Immunology and 50 papers in Epidemiology. Recurrent topics in Jae‐Young Um's work include Adipokines, Inflammation, and Metabolic Diseases (35 papers), Adipose Tissue and Metabolism (33 papers) and Bioactive Compounds and Antitumor Agents (24 papers). Jae‐Young Um is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (35 papers), Adipose Tissue and Metabolism (33 papers) and Bioactive Compounds and Antitumor Agents (24 papers). Jae‐Young Um collaborates with scholars based in South Korea, Singapore and United States. Jae‐Young Um's co-authors include Kwang Seok Ahn, Seung‐Heon Hong, Gautam Sethi, Jeong‐Hyeon Ko, Seok‐Geun Lee, Woong Mo Yang, Hyun‐Ja Jeong, Jinbong Park, Hyung‐Min Kim and Alan Prem Kumar and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Jae‐Young Um

252 papers receiving 7.3k citations

Hit Papers

The Role of Resveratrol i... 2017 2026 2020 2023 2017 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Jae‐Young Um 3.5k 865 860 841 837 262 7.5k
Qibing Mei 4.5k 1.3× 710 0.8× 853 1.0× 573 0.7× 732 0.9× 254 8.3k
Angelika M. Vollmar 4.1k 1.2× 441 0.5× 922 1.1× 819 1.0× 609 0.7× 243 9.8k
Jinyong Peng 4.5k 1.3× 716 0.8× 1.0k 1.2× 800 1.0× 1.4k 1.7× 220 9.2k
Seong‐Gyu Ko 2.6k 0.7× 932 1.1× 691 0.8× 604 0.7× 795 0.9× 304 5.6k
Jong‐Sup Bae 3.5k 1.0× 677 0.8× 653 0.8× 800 1.0× 841 1.0× 337 8.9k
Eun‐Jung Park 4.5k 1.3× 495 0.6× 593 0.7× 824 1.0× 589 0.7× 252 8.5k
Saeed Samarghandian 4.1k 1.2× 1.3k 1.5× 1.4k 1.6× 1.5k 1.8× 761 0.9× 291 10.5k
Lihong Hu 4.1k 1.2× 563 0.7× 618 0.7× 620 0.7× 756 0.9× 346 8.4k
Zhi‐Ling Yu 3.4k 1.0× 898 1.0× 589 0.7× 611 0.7× 1.1k 1.3× 235 6.9k
Hor‐Yue Tan 3.5k 1.0× 592 0.7× 762 0.9× 970 1.2× 1.3k 1.6× 105 7.6k

Countries citing papers authored by Jae‐Young Um

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Young Um

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Young 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 Jae‐Young Um. The network helps show where Jae‐Young Um may publish in the future.

Co-authorship network of co-authors of Jae‐Young Um

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