Hee Jin Chun
Impact in
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- Pharmacological Effects of Natural Compounds
Papers in
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- Muscle Physiology and Disorders 8
- Viral Infectious Diseases and Gene Expression in Insects 1
- Ubiquitin and proteasome pathways 1
- Plant biochemistry and biosynthesis 1
- Histone Deacetylase Inhibitors Research 1
- Co-authors
- Inho Choi (11 shared papers)Khurshid Ahmad (11 shared papers)Syed Sayeed Ahmad (10 shared papers)Eun Ju Lee (10 shared papers)Jeong Ho Lim (9 shared papers)Sibhghatulla Shaikh (9 shared papers)Shahid Ali (7 shared papers)Arif Tasleem Jan (2 shared papers)
- Journals
- Cells (2 papers)Frontiers in Bioengineering and Biotechnology (1 paper)Frontiers in Physiology (1 paper)Journal of Ginseng Research (1 paper)Current Research in Food Science (1 paper)
- Partner nations
- South KoreaIndia
In The Last Decade
Hee Jin Chun
12 papers receiving 284 citations
Peers
Comparison fields: 5 of 68
- Pharmacology 34
- Rehabilitation 20
- Physiology 61
- Cell Biology 38
- Molecular Biology 154
Countries citing papers authored by Hee Jin Chun
This map shows the geographic impact of Hee Jin Chun'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 Hee Jin Chun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hee Jin Chun more than expected).
Fields of papers citing papers by Hee Jin Chun
This network shows the impact of papers produced by Hee Jin Chun. 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 Hee Jin Chun. The network helps show where Hee Jin Chun may publish in the future.
Co-authors
The 22 scholars most cited alongside Hee Jin Chun, 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 | 2022 | 68 | |
| 2 | 2023 | 43 | |
| 3 | 2022 | 41 | |
| 4 | 2022 | 24 | |
| 5 | 2022 | 23 | |
| 6 | 2021 | 17 | |
| 7 | 2023 | 16 | |
| 8 | 2020 | 13 | |
| 9 | 2023 | 12 | |
| 10 | 2024 | 12 | |
| 11 | 2022 | 10 | |
| 12 | 2023 | 8 |
About Hee Jin Chun
Hee Jin Chun is a scholar working on Molecular Biology, Epidemiology, Physiology, Surgery and Automotive Engineering, having authored 12 papers that have together received 287 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (8 papers), Adipose Tissue and Metabolism (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Ubiquitin and proteasome pathways (1 paper), Plant biochemistry and biosynthesis (1 paper), Pharmacological Effects of Natural Compounds (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Pharmacology (34 citations), Rehabilitation (20 citations), Physiology (61 citations), Cell Biology (38 citations) and Molecular Biology (154 citations). Hee Jin Chun has collaborated with scholars based in South Korea and India. Frequent co-authors include Inho Choi, Khurshid Ahmad, Syed Sayeed Ahmad, Eun Ju Lee, Jeong Ho Lim, Sibhghatulla Shaikh, Shahid Ali, Arif Tasleem Jan, Mohammad Hassan Baig and Jun Sung Moon. Their work appears in journals such as Cells, Frontiers in Bioengineering and Biotechnology, Frontiers in Physiology, Journal of Ginseng Research and Current Research in Food Science.
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.