Jin Ok Yang
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 5
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- RNA modifications and cancer 8
- Bioinformatics and Genomic Networks 5
- Genomics and Phylogenetic Studies 5
- Gene expression and cancer classification 3
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- Genomics and Rare Diseases 5
- Genomic variations and chromosomal abnormalities 3
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- Chromosomal and Genetic Variations 3
- Co-authors
- Nam-Soon KimJung‐Hwa OhYong‐Sung KimJeong‐Min KimJong BhakJoo Heon KimHo-Yong SohnSun Young Yoon
- Partner nations
- South KoreaChinaAustralia
In The Last Decade
Jin Ok Yang
30 papers receiving 613 citations
Peers
Comparison fields: 5 of 88
- Cancer Research 187
- Molecular Biology 439
- Cell Biology 58
- Genetics 84
- Oncology 79
Countries citing papers authored by Jin Ok Yang
This map shows the geographic impact of Jin Ok Yang'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 Jin Ok Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Ok Yang more than expected).
Fields of papers citing papers by Jin Ok Yang
This network shows the impact of papers produced by Jin Ok Yang. 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 Jin Ok Yang. The network helps show where Jin Ok Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jin Ok Yang, 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 | 2025 | 4 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 17 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 108 | |
| 7 | 2019 | 30 | |
| 8 | 2019 | 8 | |
| 9 | 2015 | 5 | |
| 10 | Correlation analysis between quality grade and chemical composition in organic Maofeng tea from Hangzhou region | 2013 | 1 |
| 11 | 2013 | 3 | |
| 12 | 2011 | 35 | |
| 13 | 2010 | 7 | |
| 14 | 2010 | 96 | |
| 15 | 2007 | 2 | |
| 16 | 2006 | 40 | |
| 17 | KBUD: The Korea Brain UniGene Database | 2005 | 1 |
| 18 | 2005 | 22 | |
| 19 | EFFECTS OF CHLOROBENZENE ON THE ANTIOXIDANT ENZYMES ACTIVITIES IN WHEAT | 2003 | 1 |
| 20 | Anti-complementary Activity of Aliphatic Fatty Acids | 2001 | 7 |
About Jin Ok Yang
Jin Ok Yang is a scholar working on Cancer Research, Molecular Biology, Genetics, Neurology and Pathology and Forensic Medicine, having authored 32 papers that have together received 633 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Genomics and Rare Diseases (5 papers), Bioinformatics and Genomic Networks (5 papers), Genomics and Phylogenetic Studies (5 papers), Cancer-related molecular mechanisms research (5 papers), Genomic variations and chromosomal abnormalities (3 papers), Chromosomal and Genetic Variations (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Cancer Research (187 citations), Molecular Biology (439 citations), Cell Biology (58 citations), Genetics (84 citations) and Oncology (79 citations). Jin Ok Yang has collaborated with scholars based in South Korea, China and Australia. Frequent co-authors include Nam-Soon Kim, Jung‐Hwa Oh, Yong‐Sung Kim, Jeong‐Min Kim, Jong Bhak, Joo Heon Kim, Ho-Yong Sohn, Sun Young Yoon, Kyu Sang Song and Jong-Guk Kim. Their work appears in journals such as Nucleic Acids Research, BMC Genomics, BMB Reports, Gastroenterology and Nature 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.