Yangsik Jeong
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 8
- Cancer, Lipids, and Metabolism 5
- Molecular Biology top 10%
- Peroxisome Proliferator-Activated Receptors 6
- Pluripotent Stem Cells Research 3
- Genetics top 10%
- Estrogen and related hormone effects 3
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- Cancer Research and Treatments 3
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- Cytokine Signaling Pathways and Interactions 3
- Drug Transport and Resistance Mechanisms 2
- Co-authors
- David J. MangelsdorfAngie L. BookoutRuth T. YuRonald M. EvansMichael DownesKyu‐Sang ParkYang XieKi Woo Kim
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Yangsik Jeong
28 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Cancer Research 265
- Endocrinology, Diabetes and Metabolism 218
- Molecular Biology 853
- Applied Microbiology and Biotechnology 25
- Genetics 325
Countries citing papers authored by Yangsik Jeong
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
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
The 25 scholars most cited alongside Yangsik Jeong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2022 | 14 | |
| 4 | 2020 | 25 | |
| 5 | 2020 | 33 | |
| 6 | 2020 | 6 | |
| 7 | 2019 | 47 | |
| 8 | 2018 | 12 | |
| 9 | 2015 | 19 | |
| 10 | 2015 | 28 | |
| 11 | 2015 | 12 | |
| 12 | 2014 | 140 | |
| 13 | 2014 | 9 | |
| 14 | 2014 | 9 | |
| 15 | 2012 | 25 | |
| 16 | 2012 | 20 | |
| 17 | 2010 | 57 | |
| 18 | 2009 | 54 | |
| 19 | 2008 | 72 | |
| 20 | Anatomical Profiling of Nuclear Receptor Expression Reveals a Hierarchical Transcriptional Networkbreakdown → | 2006 | 811 |
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), Cancer, Lipids, and Metabolism (5 papers), Pluripotent Stem Cells Research (3 papers), Cancer Research and Treatments (3 papers), Estrogen and related hormone effects (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Drug Transport and Resistance Mechanisms (2 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.