Dong‐Jae Jun
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
- Adipose Tissue and Metabolism
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- Cellular transport and secretion
Papers in
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- Adenosine and Purinergic Signaling 2
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- Cellular transport and secretion 2
- Co-authors
- Kyong‐Tai Kim (13 shared papers)Bo‐Hwa Choi (4 shared papers)Eun‐Mi Hur (5 shared papers)Russell A. DeBose‐Boyd (5 shared papers)Yongsoo Park (6 shared papers)Joachim Seemann (2 shared papers)Marc M. Schumacher (4 shared papers)Sung Ho Ryu (3 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Biochemical Pharmacology (2 papers)Journal of Lipid Research (2 papers)Endocrinology (2 papers)Genome biology (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Dong‐Jae Jun
20 papers receiving 627 citations
Peers
Comparison fields: 5 of 74
- Physiology 92
- Cell Biology 54
- Molecular Biology 200
- Cellular and Molecular Neuroscience 38
- Cancer Research 30
Countries citing papers authored by Dong‐Jae Jun
This map shows the geographic impact of Dong‐Jae 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 Dong‐Jae Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong‐Jae Jun more than expected).
Fields of papers citing papers by Dong‐Jae Jun
This network shows the impact of papers produced by Dong‐Jae 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 Dong‐Jae Jun. The network helps show where Dong‐Jae Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong‐Jae 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
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 114 | |
| 2 | 2007 | 77 | |
| 3 | 2009 | 61 | |
| 4 | 2014 | 50 | |
| 5 | 2008 | 47 | |
| 6 | 2006 | 44 | |
| 7 | 2005 | 42 | |
| 8 | 2006 | 42 | |
| 9 | 2016 | 33 | |
| 10 | 2010 | 29 | |
| 11 | 2017 | 24 | |
| 12 | 2004 | 18 | |
| 13 | 2005 | 17 | |
| 14 | 2020 | 12 | |
| 15 | 2020 | 10 | |
| 16 | 2001 | 6 | |
| 17 | 2014 | 4 | |
| 18 | 2005 | 3 | |
| 19 | 2005 | 1 | |
| 20 | 2025 | 1 |
About Dong‐Jae Jun
Dong‐Jae Jun is a scholar working on Physiology, Cell Biology, Sensory Systems, Molecular Biology and Immunology, having authored 20 papers that have together received 635 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (5 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Cellular transport and secretion (2 papers), Ion Channels and Receptors (2 papers), Mast cells and histamine (2 papers), Adenosine and Purinergic Signaling (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Alkaloids: synthesis and pharmacology (1 paper). The work is most often cited by research in Physiology (92 citations), Cell Biology (54 citations), Molecular Biology (200 citations), Cellular and Molecular Neuroscience (38 citations) and Cancer Research (30 citations). Dong‐Jae Jun has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Kyong‐Tai Kim, Bo‐Hwa Choi, Eun‐Mi Hur, Russell A. DeBose‐Boyd, Yongsoo Park, Joachim Seemann, Marc M. Schumacher, Sung Ho Ryu, Jaeyoon John Kim and Young‐Yun Kong. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Pharmacology, Journal of Lipid Research, Endocrinology and Genome biology.
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.