Young Jun Kang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- NF-κB Signaling Pathways
- Immunology top 5%
- Immune Response and Inflammation
- T-cell and B-cell Immunology
- interferon and immune responses
Papers in
-
- MicroRNA in disease regulation 6
- NF-κB Signaling Pathways 3
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- Immune Response and Inflammation 5
- Co-authors
- Jiahuai Han (15 shared papers)Motoyuki Otsuka (15 shared papers)Jianming Chen (2 shared papers)Johann Mols (2 shared papers)Lixin Hong (3 shared papers)Min Lü (1 shared paper)Roger R Perry (1 shared paper)Alim S. Seit‐Nebi (2 shared papers)
- Journals
- The Journal of Immunology (5 papers)Journal of Biological Chemistry (4 papers)Scientific Reports (2 papers)Neuroscience (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Young Jun Kang
45 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 77
- Cancer Research 303
- Immunology 264
- Molecular Biology 481
- Aging 8
- Hepatology 44
Countries citing papers authored by Young Jun Kang
This map shows the geographic impact of Young Jun Kang'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 Young Jun Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young Jun Kang more than expected).
Fields of papers citing papers by Young Jun Kang
This network shows the impact of papers produced by Young Jun Kang. 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 Young Jun Kang. The network helps show where Young Jun Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Young Jun Kang, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 302 | |
| 2 | 2007 | 235 | |
| 3 | 2008 | 231 | |
| 4 | 2008 | 136 | |
| 5 | 2010 | 134 | |
| 6 | 2015 | 131 | |
| 7 | 2014 | 105 | |
| 8 | 2011 | 103 | |
| 9 | 2010 | 96 | |
| 10 | 2010 | 96 | |
| 11 | 2007 | 93 | |
| 12 | 1996 | 92 | |
| 13 | 1995 | 90 | |
| 14 | 2007 | 89 | |
| 15 | 2012 | 87 | |
| 16 | 2013 | 82 | |
| 17 | 2006 | 77 | |
| 18 | 2005 | 71 | |
| 19 | 2006 | 49 | |
| 20 | The role of the p38 pathway in adaptive immunity. | 2007 | 46 |
About Young Jun Kang
Young Jun Kang is a scholar working on Cancer Research, Immunology, Neurology, Molecular Biology and Molecular Medicine, having authored 45 papers that have together received 2.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Immune Response and Inflammation (5 papers), NF-κB Signaling Pathways (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Hepatitis B Virus Studies (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Cancer Research (303 citations), Immunology (264 citations), Molecular Biology (481 citations), Aging (8 citations) and Hepatology (44 citations). Young Jun Kang has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Jiahuai Han, Motoyuki Otsuka, Jianming Chen, Johann Mols, Lixin Hong, Min Lü, Roger R Perry, Alim S. Seit‐Nebi, Bo‐Ram Bang and Masao Omata. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, Scientific Reports, Neuroscience and Nature Communications.
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.