Heejin Jun
Impact in
- Biochemistry top 2%
- Phytochemicals and Antioxidant Activities
- Physiology top 5%
- Adipose Tissue and Metabolism
- Smoking Behavior and Cessation
Papers in
-
- Peroxisome Proliferator-Activated Receptors 13
- Physiology 24
- Adipose Tissue and Metabolism 17
- Co-authors
- Sung‐Joon Lee (31 shared papers)Ji Hae Lee (22 shared papers)Yaoyao Jia (16 shared papers)Jun Wu (15 shared papers)Ichiro Kawachi (3 shared papers)Minh-Hien Hoang (8 shared papers)Minh Hien Hoang (7 shared papers)Sung‐Joon Lee (9 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (5 papers)Journal of Agricultural and Food Chemistry (5 papers)Molecular Nutrition & Food Research (4 papers)Journal of Controlled Release (3 papers)Nano Today (3 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Heejin Jun
80 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 136
- Biochemistry 233
- Physiology 683
- Aging 32
- Nutrition and Dietetics 245
- Biochemistry 114
Countries citing papers authored by Heejin Jun
This map shows the geographic impact of Heejin Jun'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 Heejin Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heejin Jun more than expected).
Fields of papers citing papers by Heejin Jun
This network shows the impact of papers produced by Heejin Jun. 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 Heejin Jun. The network helps show where Heejin Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Heejin Jun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 134 | |
| 2 | 2007 | 103 | |
| 3 | 2012 | 100 | |
| 4 | 2011 | 83 | |
| 5 | 2012 | 76 | |
| 6 | 2018 | 73 | |
| 7 | 2012 | 71 | |
| 8 | 2012 | 64 | |
| 9 | 2008 | 62 | |
| 10 | 2019 | 60 | |
| 11 | 2010 | 59 | |
| 12 | 2014 | 58 | |
| 13 | 2009 | 57 | |
| 14 | 2012 | 54 | |
| 15 | 2011 | 53 | |
| 16 | 2017 | 52 | |
| 17 | 2011 | 51 | |
| 18 | 2015 | 44 | |
| 19 | 2006 | 43 | |
| 20 | 2012 | 40 |
About Heejin Jun
Heejin Jun is a scholar working on Molecular Biology, Physiology, Surgery, Epidemiology and Oncology, having authored 84 papers that have together received 2.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (17 papers), Peroxisome Proliferator-Activated Receptors (13 papers), Cholesterol and Lipid Metabolism (12 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Drug Transport and Resistance Mechanisms (11 papers), Lipid metabolism and biosynthesis (7 papers), melanin and skin pigmentation (7 papers) and Biochemical Analysis and Sensing Techniques (6 papers). The work is most often cited by research in Biochemistry (233 citations), Physiology (683 citations), Aging (32 citations), Nutrition and Dietetics (245 citations) and Biochemistry (114 citations). Heejin Jun has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Sung‐Joon Lee, Ji Hae Lee, Yaoyao Jia, Jun Wu, Ichiro Kawachi, Minh-Hien Hoang, Minh Hien Hoang, Sung‐Joon Lee, Sungyun Cho and Ji Suk Chang. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Agricultural and Food Chemistry, Molecular Nutrition & Food Research, Journal of Controlled Release and Nano Today.
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.