Heejin Jun

3.0k citations
83 papers · 2.5k · h-index 32

Impact in

    • Phytochemicals and Antioxidant Activities
  • Physiology top 5%
    • Adipose Tissue and Metabolism
    • Smoking Behavior and Cessation

Papers in

    • Adipose Tissue and Metabolism 16
    • Peroxisome Proliferator-Activated Receptors 10
    • Metabolism, Diabetes, and Cancer 6

Heejin Jun

83 papers receiving 2.5k citations

Peers

Heejin Jun
Comparison fields: 5 of 132
  • Biochemistry 224
  • Physiology 665
  • Aging 35
  • Nutrition and Dietetics 239
  • Biochemistry 115
Replace Yunsook Lim with:
Yunsook Lim South Korea
Tsuyoshi Tsuduki Japan
Tingyang Zhou United States
Liam Baird Japan
Paulo Ivo Homem de Bittencourt Jr. Brazil
Gopabandhu Jena India
Bee Ling Tan Malaysia
Ángel Morales‐González Mexico
Eduardo Madrigal‐Santillán Mexico
Hea Jin Park United States
Heejin Jun relative to Yunsook Lim South Korea Yunsook Lim's profile →
Citations per field
00.5×1.5×1.9×
Yunsook Lim · 1×
Citations per year

Countries citing papers authored by Heejin Jun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Heejin Jun Line = papers co-authored together Heejin Jun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009142
2 2007107
3 2012105
4 201185
5 201279
6 201878
7 201976
8 201275
9 201265
10 200864
11 201462
12 201060
13 200958
14 201154
15 201754
16 201154
17 201254
18 200646
19 201546
20 201542

About Heejin Jun

Heejin Jun is a scholar working on Physiology, Molecular Biology, Nutrition and Dietetics, Biochemistry and Cell Biology, having authored 83 papers that have together received 2.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (16 papers), Peroxisome Proliferator-Activated Receptors (10 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers), Cholesterol and Lipid Metabolism (9 papers), Drug Transport and Resistance Mechanisms (9 papers), melanin and skin pigmentation (7 papers), Biochemical Analysis and Sensing Techniques (6 papers) and Metabolism, Diabetes, and Cancer (6 papers). The work is most often cited by research in Biochemistry (224 citations), Physiology (665 citations), Aging (35 citations), Nutrition and Dietetics (239 citations) and Biochemistry (115 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, Minh-Hien Hoang, Ichiro Kawachi, Minh Hien Hoang, Jungae Jeun, Sung‐Joon Lee and Sungyun Cho. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Bioorganic & Medicinal Chemistry Letters, 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.

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