Dae‐Eun Jeong

47 total papers · 1.0k total citations
18 papers, 652 citations indexed

About

Dae‐Eun Jeong is a scholar working on Aging, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Dae‐Eun Jeong has authored 18 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Aging, 7 papers in Endocrine and Autonomic Systems and 5 papers in Molecular Biology. Recurrent topics in Dae‐Eun Jeong's work include Genetics, Aging, and Longevity in Model Organisms (15 papers), Circadian rhythm and melatonin (7 papers) and Mitochondrial Function and Pathology (4 papers). Dae‐Eun Jeong is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (15 papers), Circadian rhythm and melatonin (7 papers) and Mitochondrial Function and Pathology (4 papers). Dae‐Eun Jeong collaborates with scholars based in South Korea, United States and China. Dae‐Eun Jeong's co-authors include Seung‐Jae Lee, Dong-Yeop Lee, Keunhee Seo, Murat Artan, Ara B. Hwang, Wooseon Hwang, Heehwa G. Son, Yujin Lee, Sung Key Jang and Eun Seok Choi and has published in prestigious journals such as Nature Communications, Genes & Development and The Journal of Cell Biology.

In The Last Decade

Dae‐Eun Jeong

17 papers receiving 644 citations

Author Peers

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

Author Last Decade Papers Cites
Dae‐Eun Jeong 415 271 166 153 47 18 652
Daphne Bazopoulou 359 0.9× 308 1.1× 87 0.5× 120 0.8× 24 0.5× 15 669
Manuel J. Muñoz 326 0.8× 345 1.3× 116 0.7× 147 1.0× 60 1.3× 36 665
Daniel B. Magner 273 0.7× 415 1.5× 74 0.4× 123 0.8× 27 0.6× 15 743
Pan-Young Jeong 359 0.9× 186 0.7× 54 0.3× 152 1.0× 21 0.4× 15 553
Wendy B. Iser 447 1.1× 357 1.3× 230 1.4× 193 1.3× 26 0.6× 14 745
Bing Han 105 0.3× 344 1.3× 212 1.3× 59 0.4× 26 0.6× 21 770
Arwen W. Gao 244 0.6× 399 1.5× 190 1.1× 76 0.5× 67 1.4× 24 643
Sider Penkov 191 0.5× 223 0.8× 116 0.7× 81 0.5× 13 0.3× 19 612
Geert Depuydt 381 0.9× 365 1.3× 199 1.2× 128 0.8× 43 0.9× 15 698
Mihwa Seo 290 0.7× 363 1.3× 98 0.6× 78 0.5× 42 0.9× 11 620

Countries citing papers authored by Dae‐Eun Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Eun Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae‐Eun Jeong. 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 Dae‐Eun Jeong. The network helps show where Dae‐Eun Jeong may publish in the future.

Co-authorship network of co-authors of Dae‐Eun Jeong

This figure shows the co-authorship network connecting the top 25 collaborators of Dae‐Eun Jeong. A scholar is included among the top collaborators of Dae‐Eun Jeong 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 Dae‐Eun Jeong. Dae‐Eun Jeong 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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2026