Yangsik Jeong

2.0k citations
29 papers · 1.6k indexed · 1 hit paper · h-index 18
Topics
Cancer, Hypoxia, and Metabolism (8 papers)Peroxisome Proliferator-Activated Receptors (6 papers)Cancer, Lipids, and Metabolism (5 papers)

In The Last Decade

Yangsik Jeong

28 papers receiving 1.6k citations

Hit Papers

Anatomical Profiling of Nuclear Receptor Expression Revea...20062026201220192006250500750

Peers

Yangsik Jeong
Comparison fields: 5 of 103
  • Molecular Biology 853
  • Genetics 325
  • Oncology 315
  • Cancer Research 265
  • Surgery 256
Replace Bao Zhu with:
Bao Zhu United States
Nadia Bougarne Belgium
Iván P. Uray United States
Chi‐Wai Wong China
Lisong Teng China
Elżbieta Janda Italy
Phyllis H. Luckert United States
Shao‐Chih Chiu Taiwan
Damiano Cosimo Rigiracciolo Italy
Yangsik Jeong relative to Bao Zhu United States Bao Zhu's profile →
Citations per field
00.5×3.2×
Bao Zhu · 1×
Citations per year

Countries citing papers authored by Yangsik Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Yangsik Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangsik Jeong

This figure shows the co-authorship network connecting the top 25 collaborators of Yangsik Jeong. A scholar is included among the top collaborators of Yangsik 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 Yangsik Jeong. Yangsik Jeong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 14
4 25
5 33
6 6
7 47
8 12
9 19
10 28
11 12
12 140
13 9
14 9
15 25
16 20
17 57
18 54
19 72
20
Anatomical Profiling of Nuclear Receptor Expression Reveals a Hierarchical Transcriptional Networkbreakdown →
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About Yangsik Jeong

Yangsik Jeong is a scholar working on Cancer Research, Applied Microbiology and Biotechnology and Biotechnology, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (8 papers), Peroxisome Proliferator-Activated Receptors (6 papers) and Cancer, Lipids, and Metabolism (5 papers). The work is most often cited by research in Cancer Research (265 citations), Endocrinology, Diabetes and Metabolism (218 citations) and Molecular Biology (853 citations). Yangsik Jeong has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include David J. Mangelsdorf, Angie L. Bookout, Ruth T. Yu, Ronald M. Evans, Michael Downes, Kyu‐Sang Park, Yang Xie, Ki Woo Kim, Hiroyuki Miyachi and Makoto Makishima. Their work appears in journals such as Cell, PLoS ONE and Cancer Research.

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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