Chan‐Young Ock
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Cancer Research
- Co-authors
- Bhumsuk KeamSoo Ick ChoDae Seog HeoSeokhwi KimTae Min KimKyunghyun PaengSangwon ShinJong Seok Ahn
- Topics
- Radiomics and Machine Learning in Medical Imaging (36 papers)Cancer Immunotherapy and Biomarkers (32 papers)Cancer Genomics and Diagnostics (19 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Chan‐Young Ock
86 papers receiving 976 citations
Peers
Comparison fields: 5 of 103
- Oncology 508
- Pulmonary and Respiratory Medicine 276
- Molecular Biology 249
- Radiology, Nuclear Medicine and Imaging 233
- Cancer Research 150
Countries citing papers authored by Chan‐Young Ock
This map shows the geographic impact of Chan‐Young Ock'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 Chan‐Young Ock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chan‐Young Ock more than expected).
Fields of papers citing papers by Chan‐Young Ock
This network shows the impact of papers produced by Chan‐Young Ock. 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 Chan‐Young Ock. The network helps show where Chan‐Young Ock may publish in the future.
Co-authorship network of co-authors of Chan‐Young Ock
This figure shows the co-authorship network connecting the top 25 collaborators of Chan‐Young Ock. A scholar is included among the top collaborators of Chan‐Young Ock based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chan‐Young Ock. Chan‐Young Ock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 76 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 18 | |
| 17 | 5 | |
| 18 | 19 | |
| 19 | 1 | |
| 20 | 8 |
About Chan‐Young Ock
Chan‐Young Ock is a scholar working on Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 98 papers that have together received 989 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (36 papers), Cancer Immunotherapy and Biomarkers (32 papers) and Cancer Genomics and Diagnostics (19 papers). The work is most often cited by research in Health Informatics (27 citations), Oncology (508 citations) and Radiology, Nuclear Medicine and Imaging (233 citations). Chan‐Young Ock has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Bhumsuk Keam, Soo Ick Cho, Dae Seog Heo, Seokhwi Kim, Tae Min Kim, Kyunghyun Paeng, Sangwon Shin, Jong Seok Ahn, Eun Kyung Park and Su‐A Yang. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.