Sung Ick
Impact in
- Cancer Research top 10%
- Oncology top 10%
- Cancer-related Molecular Pathways
Papers in
-
- Cancer-related gene regulation 4
- DNA Repair Mechanisms 3
- Cell death mechanisms and regulation 3
- Epigenetics and DNA Methylation 3
- RNA modifications and cancer 3
-
- Lung Cancer Treatments and Mutations 3
- Co-authors
- Chang Ho Kim (29 shared papers)Tae Hoon Jung (26 shared papers)Jin Eun Choi (19 shared papers)Jae Yong Park (24 shared papers)Sin Kam (20 shared papers)Won Kee Lee (19 shared papers)Jin Sung Jang (8 shared papers)Dong Sun Kim (7 shared papers)
- Journals
- Lung Cancer (4 papers)Cancer Epidemiology Biomarkers & Prevention (3 papers)Molecular Carcinogenesis (2 papers)BMC Cancer (2 papers)Biochemical Genetics (2 papers)
- Partner nations
- South KoreaChinaVietnam
In The Last Decade
Sung Ick
28 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 74
- Cancer Research 171
- Oncology 229
- Molecular Biology 534
- Physiology 185
- Pulmonary and Respiratory Medicine 221
Countries citing papers authored by Sung Ick
This map shows the geographic impact of Sung Ick'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 Sung Ick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung Ick more than expected).
Fields of papers citing papers by Sung Ick
This network shows the impact of papers produced by Sung Ick. 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 Sung Ick. The network helps show where Sung Ick may publish in the future.
Co-authors
The 25 scholars most cited alongside Sung Ick, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 161 | |
| 2 | 2009 | 148 | |
| 3 | Polymorphisms of the DNA repair gene xeroderma pigmentosum group A and risk of primary lung cancer. | 2002 | 91 |
| 4 | 2006 | 84 | |
| 5 | 2006 | 54 | |
| 6 | 2009 | 53 | |
| 7 | 2006 | 47 | |
| 8 | 2007 | 40 | |
| 9 | 2006 | 29 | |
| 10 | 2008 | 29 | |
| 11 | 2007 | 27 | |
| 12 | 2006 | 26 | |
| 13 | 2007 | 25 | |
| 14 | 2006 | 25 | |
| 15 | 2008 | 25 | |
| 16 | 2008 | 21 | |
| 17 | 2012 | 21 | |
| 18 | 2007 | 20 | |
| 19 | 2005 | 19 | |
| 20 | 2006 | 17 |
About Sung Ick
Sung Ick is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Physiology, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer-related gene regulation (4 papers), DNA Repair Mechanisms (3 papers), Cell death mechanisms and regulation (3 papers), Cancer-related Molecular Pathways (3 papers), Epigenetics and DNA Methylation (3 papers), Lung Cancer Treatments and Mutations (3 papers), RNA modifications and cancer (3 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Cancer Research (171 citations), Oncology (229 citations), Molecular Biology (534 citations), Physiology (185 citations) and Pulmonary and Respiratory Medicine (221 citations). Sung Ick has collaborated with scholars based in South Korea, China and Vietnam. Frequent co-authors include Chang Ho Kim, Tae Hoon Jung, Jin Eun Choi, Jae Yong Park, Sin Kam, Won Kee Lee, Jin Sung Jang, Dong Sun Kim, Yi Young Choi and Eung Bae Lee. Their work appears in journals such as Lung Cancer, Cancer Epidemiology Biomarkers & Prevention, Molecular Carcinogenesis, BMC Cancer and Biochemical Genetics.
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.