Youngchul Song
- Oncology top 0.5%
- HER2/EGFR in Cancer Research 4
- Colorectal Cancer Treatments and Studies 3
- Pulmonary and Respiratory Medicine top 0.5%
- Lung Cancer Treatments and Mutations 4
- Hepatology top 1%
- Cancer Research top 2%
- Molecular Biology top 2%
- PI3K/AKT/mTOR signaling in cancer 7
- Melanoma and MAPK Pathways 3
- Protein Kinase Regulation and GTPase Signaling 3
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- Cancer Mechanisms and Therapy 3
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- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Jeffrey A. EngelmanLewis C. CantleyPasi A. JänneXiao‐Jun ZhaoJames G. ChristensenCharles LeeNeal I. LindemanKreshnik Zejnullahu
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Youngchul Song
17 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Oncology 3.0k
- Pulmonary and Respiratory Medicine 2.7k
- Hepatology 608
- Cancer Research 908
- Molecular Biology 3.0k
Countries citing papers authored by Youngchul Song
This map shows the geographic impact of Youngchul Song'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 Youngchul Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngchul Song more than expected).
Fields of papers citing papers by Youngchul Song
This network shows the impact of papers produced by Youngchul Song. 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 Youngchul Song. The network helps show where Youngchul Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Youngchul Song, 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 | 2022 | 0 | |
| 2 | 2021 | 26 | |
| 3 | 2018 | 19 | |
| 4 | 2014 | 123 | |
| 5 | 2013 | 173 | |
| 6 | 2013 | 174 | |
| 7 | 2013 | 1 | |
| 8 | 2013 | 51 | |
| 9 | 2013 | 1 | |
| 10 | 2012 | 285 | |
| 11 | 2012 | 87 | |
| 12 | 2012 | 118 | |
| 13 | 2011 | 9 | |
| 14 | 2011 | 153 | |
| 15 | 2011 | 7 | |
| 16 | 2010 | 215 | |
| 17 | 2008 | 455 | |
| 18 | MET Amplification Leads to Gefitinib Resistance in Lung Cancer by Activating ERBB3 Signalingbreakdown → | 2007 | 3570 |
About Youngchul Song
Youngchul Song is a scholar working on Oncology, Genetics and Pathology and Forensic Medicine, having authored 18 papers that have together received 5.5k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (7 papers), HER2/EGFR in Cancer Research (4 papers), Lung Cancer Treatments and Mutations (4 papers), Cancer Mechanisms and Therapy (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Melanoma and MAPK Pathways (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Oncology (3.0k citations), Pulmonary and Respiratory Medicine (2.7k citations) and Hepatology (608 citations). Youngchul Song has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Jeffrey A. Engelman, Lewis C. Cantley, Pasi A. Jänne, Xiao‐Jun Zhao, James G. Christensen, Charles Lee, Neal I. Lindeman, Kreshnik Zejnullahu, Tony Mok and Takayuki Kosaka. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.