Sung Ick

1.5k citations
30 papers · 1.0k · h-index 19

Impact in

    • Carcinogens and Genotoxicity Assessment
  • Oncology top 10%
    • Cancer-related Molecular Pathways

Papers in

Sung Ick

29 papers receiving 1.0k citations

Peers

Sung Ick
Comparison fields: 5 of 71
  • Cancer Research 203
  • Oncology 223
  • Molecular Biology 553
  • Physiology 189
  • Pulmonary and Respiratory Medicine 228
Replace Luc Morat with:
Luc Morat France
Jeanie Wu Singapore
Tania L. Slatter New Zealand
Hyo-Sung Jeon South Korea
Morito Monden Japan
Xiaoling Weng China
Martin R. Buta United States
Yidong Fan China
J Simony-Lafontaine France
Eung Bae Lee South Korea
Sung Ick relative to Luc Morat France Luc Morat's profile →
Citations per field
00.5×2×3×4×
Luc Morat · 1×
Citations per year

Countries citing papers authored by Sung Ick

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sung Ick Line = papers co-authored together Sung Ick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008167
2 2009150
3
Polymorphisms of the DNA repair gene xeroderma pigmentosum group A and risk of primary lung cancer.
200293
4 200267
5 200656
6 200953
7 200647
8 200741
9 200730
10 200830
11 200630
12 200728
13 200826
14 200625
15 200623
16 200822
17 201221
18 200720
19 200520
20 200617

About Sung Ick

Sung Ick is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Biotechnology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer-related gene regulation (4 papers), DNA Repair Mechanisms (4 papers), Lung Cancer Treatments and Mutations (4 papers), Epigenetics and DNA Methylation (3 papers), RNA modifications and cancer (3 papers), Cancer-related Molecular Pathways (3 papers), Cancer Research and Treatments (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Cancer Research (203 citations), Oncology (223 citations), Molecular Biology (553 citations), Physiology (189 citations) and Pulmonary and Respiratory Medicine (228 citations). Sung Ick has collaborated with scholars based in South Korea, China and France. Frequent co-authors include Tae Hoon Jung, Chang Ho Kim, Jae Yong Park, Jin Eun Choi, Sin Kam, Won Kee Lee, Jin Sung Jang, Eung Bae Lee, Dong Sun Kim and Yi Young Choi. Their work appears in journals such as Lung Cancer, Cancer Epidemiology Biomarkers & Prevention, Molecular Carcinogenesis, Biochemical Genetics and BMC Cancer.

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.

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