Young Jun Koh
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
-
- Angiogenesis and VEGF in Cancer 8
- Glycosylation and Glycoproteins Research 3
- Oncology 9
- Lymphatic System and Diseases 6
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Gou Young Koh (17 shared papers)Chung‐Hyun Cho (5 shared papers)Jinah Han (3 shared papers)Injune Kim (2 shared papers)Chulhee Choi (4 shared papers)Bong Ihn Koh (2 shared papers)Do‐Hyun Nam (2 shared papers)Kyung Eun Kim (2 shared papers)
- Journals
- Blood (3 papers)Scientific Reports (2 papers)Experimental & Molecular Medicine (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)
- Partner nations
- South KoreaUnited StatesFinland
In The Last Decade
Young Jun Koh
34 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 106
- Genetics 253
- Physiology 376
- Oncology 356
- Immunology 253
- Cancer Research 156
Countries citing papers authored by Young Jun Koh
This map shows the geographic impact of Young Jun Koh'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 Koh 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 Koh more than expected).
Fields of papers citing papers by Young Jun Koh
This network shows the impact of papers produced by Young Jun Koh. 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 Koh. The network helps show where Young Jun Koh may publish in the future.
Co-authors
The 25 scholars most cited alongside Young Jun Koh, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 233 | |
| 2 | 2009 | 154 | |
| 3 | 2010 | 139 | |
| 4 | 2011 | 133 | |
| 5 | 2010 | 119 | |
| 6 | 2010 | 110 | |
| 7 | 2011 | 104 | |
| 8 | 2010 | 89 | |
| 9 | 2007 | 69 | |
| 10 | 2013 | 59 | |
| 11 | 2009 | 52 | |
| 12 | 2013 | 48 | |
| 13 | 2008 | 41 | |
| 14 | 2021 | 36 | |
| 15 | 2012 | 34 | |
| 16 | 2018 | 24 | |
| 17 | 2013 | 21 | |
| 18 | 2009 | 18 | |
| 19 | 2018 | 17 | |
| 20 | 2015 | 16 |
About Young Jun Koh
Young Jun Koh is a scholar working on Molecular Biology, Oncology, Physiology, Immunology and Surgery, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (8 papers), Lymphatic System and Diseases (6 papers), Adipose Tissue and Metabolism (5 papers), Mesenchymal stem cell research (3 papers), Cancer Research and Treatments (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Genetics (253 citations), Physiology (376 citations), Oncology (356 citations), Immunology (253 citations) and Cancer Research (156 citations). Young Jun Koh has collaborated with scholars based in South Korea, United States and Finland. Frequent co-authors include Gou Young Koh, Chung‐Hyun Cho, Jinah Han, Injune Kim, Chulhee Choi, Bong Ihn Koh, Do‐Hyun Nam, Kyung Eun Kim, Hoon‐Ki Sung and Hyun Gee Ryoo. Their work appears in journals such as Blood, Scientific Reports, Experimental & Molecular Medicine, Arteriosclerosis Thrombosis and Vascular Biology and Evidence-based Complementary and Alternative Medicine.
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.