Gu Kong
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Geriatrics and Gerontology top 1%
Papers in
-
- Epigenetics and DNA Methylation 20
- Cancer-related gene regulation 8
- Histone Deacetylase Inhibitors Research 6
- Retinoids in leukemia and cellular processes 5
- Oncology 26
- Cancer Cells and Metastasis 12
- Cancer-related Molecular Pathways 8
- Co-authors
- Jeong‐Yeon Lee (14 shared papers)Mi‐Ock Lee (10 shared papers)Young‐Gun Yoo (2 shared papers)Heekyoung Chung (15 shared papers)Seok Jin Nam (8 shared papers)Hee‐Young Won (8 shared papers)Young‐Ha Oh (8 shared papers)Myeong Hee Moon (4 shared papers)
- Journals
- Oncogene (7 papers)Cancer Letters (7 papers)Cancer Research (6 papers)Toxicology and Applied Pharmacology (6 papers)Toxicology Letters (3 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Gu Kong
100 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 121
- Cancer Research 790
- Geriatrics and Gerontology 167
- Molecular Biology 2.4k
- Oncology 895
- Pathology and Forensic Medicine 333
Countries citing papers authored by Gu Kong
This map shows the geographic impact of Gu Kong'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 Gu Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gu Kong more than expected).
Fields of papers citing papers by Gu Kong
This network shows the impact of papers produced by Gu Kong. 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 Gu Kong. The network helps show where Gu Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Gu Kong, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 284 | |
| 2 | 2006 | 177 | |
| 3 | 2015 | 163 | |
| 4 | 2008 | 160 | |
| 5 | 2016 | 108 | |
| 6 | 2017 | 104 | |
| 7 | 1999 | 103 | |
| 8 | 2013 | 101 | |
| 9 | 2019 | 92 | |
| 10 | 2006 | 91 | |
| 11 | 2015 | 90 | |
| 12 | 2007 | 82 | |
| 13 | 2007 | 81 | |
| 14 | 2017 | 78 | |
| 15 | 2012 | 77 | |
| 16 | 2009 | 75 | |
| 17 | 2009 | 71 | |
| 18 | 2009 | 70 | |
| 19 | 1997 | 67 | |
| 20 | 1994 | 65 |
About Gu Kong
Gu Kong is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Pharmacology, having authored 101 papers that have together received 4.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (20 papers), Cancer Cells and Metastasis (12 papers), Cancer-related Molecular Pathways (8 papers), Cancer-related gene regulation (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), Histone Deacetylase Inhibitors Research (6 papers), Inflammatory mediators and NSAID effects (6 papers) and Retinoids in leukemia and cellular processes (5 papers). The work is most often cited by research in Cancer Research (790 citations), Geriatrics and Gerontology (167 citations), Molecular Biology (2.4k citations), Oncology (895 citations) and Pathology and Forensic Medicine (333 citations). Gu Kong has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jeong‐Yeon Lee, Mi‐Ock Lee, Young‐Gun Yoo, Heekyoung Chung, Seok Jin Nam, Hee‐Young Won, Young‐Ha Oh, Myeong Hee Moon, Kyung‐Sun Kang and Mi Kyung Kim. Their work appears in journals such as Oncogene, Cancer Letters, Cancer Research, Toxicology and Applied Pharmacology and Toxicology Letters.
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.