Young Jin Gi
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
-
- Wnt/β-catenin signaling in development and cancer 3
- Pluripotent Stem Cells Research 2
- Metabolism, Diabetes, and Cancer 2
- Cancer-related gene regulation 2
- Oncology 3
- Cancer-related Molecular Pathways 2
- Co-authors
- Elsa R. Flores (6 shared papers)Xiaohua Su (6 shared papers)Min Soon Cho (4 shared papers)Yu-Li Lin (2 shared papers)Deepavali Chakravarti (2 shared papers)Ling Geng (2 shared papers)Ty K. Subhawong (2 shared papers)Kwang Woon Kim (2 shared papers)
- Journals
- Cancer Research (2 papers)Surgery (2 papers)The American Journal of Surgery (1 paper)Free Radical Biology and Medicine (1 paper)The EMBO Journal (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Young Jin Gi
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Cancer Research 303
- Oncology 460
- Biotechnology 102
- Molecular Biology 727
- Geriatrics and Gerontology 30
Countries citing papers authored by Young Jin Gi
This map shows the geographic impact of Young Jin Gi'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 Jin Gi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young Jin Gi more than expected).
Fields of papers citing papers by Young Jin Gi
This network shows the impact of papers produced by Young Jin Gi. 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 Jin Gi. The network helps show where Young Jin Gi may publish in the future.
Co-authors
The 25 scholars most cited alongside Young Jin Gi, 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 | 2010 | 353 | |
| 2 | 2006 | 276 | |
| 3 | 2009 | 191 | |
| 4 | 2012 | 91 | |
| 5 | 2009 | 55 | |
| 6 | 2016 | 34 | |
| 7 | 2005 | 31 | |
| 8 | 2007 | 30 | |
| 9 | 2019 | 20 | |
| 10 | 2003 | 14 | |
| 11 | 2024 | 13 | |
| 12 | 2004 | 10 | |
| 13 | 2014 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2018 | 6 | |
| 16 | 2025 | 1 | |
| 17 | Targeted loss of E-cadherin is sufficient to induce dedifferentiation, loss of intercellular junctions, and increased invasive potential of colorectal cancer cells | 2006 | 1 |
| 18 | 2021 | 1 |
About Young Jin Gi
Young Jin Gi is a scholar working on Molecular Biology, Oncology, Cell Biology, Physiology and Cancer Research, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (3 papers), Telomeres, Telomerase, and Senescence (2 papers), Pluripotent Stem Cells Research (2 papers), Cancer-related Molecular Pathways (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cancer-related gene regulation (2 papers), Adipose Tissue and Metabolism (1 paper) and Sirtuins and Resveratrol in Medicine (1 paper). The work is most often cited by research in Cancer Research (303 citations), Oncology (460 citations), Biotechnology (102 citations), Molecular Biology (727 citations) and Geriatrics and Gerontology (30 citations). Young Jin Gi has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Elsa R. Flores, Xiaohua Su, Min Soon Cho, Yu-Li Lin, Deepavali Chakravarti, Ling Geng, Ty K. Subhawong, Kwang Woon Kim, Carolyn Cao and Jeffrey M. Albert. Their work appears in journals such as Cancer Research, Surgery, The American Journal of Surgery, Free Radical Biology and Medicine and The EMBO Journal.
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.