Seokhwi Kim
- Oncology top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Cancer Research top 10%
- Epidemiology
- Co-authors
- Chan‐Young OckSangjoon ChoiSoo Ick ChoKyoung‐Mee KimSangwon ShinSu‐A YangKi Hwan KimJong Seok Ahn
- Topics
- Radiomics and Machine Learning in Medical Imaging (10 papers)Cancer Genomics and Diagnostics (9 papers)Materials Engineering and Processing (5 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- South KoreaUnited StatesHong Kong
In The Last Decade
Seokhwi Kim
50 papers receiving 810 citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Oncology 274
- Molecular Biology 219
- Pulmonary and Respiratory Medicine 200
- Cancer Research 177
- Epidemiology 141
Countries citing papers authored by Seokhwi Kim
This map shows the geographic impact of Seokhwi Kim'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 Seokhwi Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seokhwi Kim more than expected).
Fields of papers citing papers by Seokhwi Kim
This network shows the impact of papers produced by Seokhwi Kim. 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 Seokhwi Kim. The network helps show where Seokhwi Kim may publish in the future.
Co-authorship network of co-authors of Seokhwi Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Seokhwi Kim. A scholar is included among the top collaborators of Seokhwi Kim 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 Seokhwi Kim. Seokhwi Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 24 | |
| 7 | Cancer‐associated fibroblast‐derived secreted phosphoprotein 1 contributes to resistance of hepatocellular carcinoma to sorafenib and lenvatinibbreakdown → | 104 |
| 8 | 2 | |
| 9 | 76 | |
| 10 | 15 | |
| 11 | 2 | |
| 12 | 31 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 48 | |
| 20 | Transports of Ferrihydrite Colloids in Packed Quartz Sand Media | 1 |
About Seokhwi Kim
Seokhwi Kim is a scholar working on Cancer Research, Health Informatics and Oncology, having authored 54 papers that have together received 830 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Cancer Genomics and Diagnostics (9 papers) and Materials Engineering and Processing (5 papers). The work is most often cited by research in Health Informatics (26 citations), Cancer Research (177 citations) and Oncology (274 citations). Seokhwi Kim has collaborated with scholars based in South Korea, United States and Hong Kong. Frequent co-authors include Chan‐Young Ock, Sangjoon Choi, Soo Ick Cho, Kyoung‐Mee Kim, Sangwon Shin, Su‐A Yang, Ki Hwan Kim, Jong Seok Ahn, Eun Kyung Park and Woong‐Yang Park. 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.