Hyun Soo Ko
- Surgery
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Pulmonary and Respiratory Medicine
- Oncology
- Co-authors
- J. TrögerJens Peter SchenkWiltrud RohrschneiderW. PruzanskiArthur AmeisPeter BärtschHeimo MairbäurlRudolf J. Wiesner
- Topics
- Radiomics and Machine Learning in Medical Imaging (8 papers)Pancreatic and Hepatic Oncology Research (6 papers)Advanced X-ray and CT Imaging (3 papers)
- Journals
- Molecular Cancer TherapeuticsAmerican Journal of Physiology-Lung Cellular and Molecular PhysiologyEuropean Radiology
- Partner nations
- AustraliaGermanySouth Korea
In The Last Decade
Hyun Soo Ko
17 papers receiving 300 citations
Peers
Comparison fields: 5 of 67
- Surgery 109
- Molecular Biology 103
- Radiology, Nuclear Medicine and Imaging 56
- Pulmonary and Respiratory Medicine 54
- Oncology 39
Countries citing papers authored by Hyun Soo Ko
This map shows the geographic impact of Hyun Soo Ko'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 Hyun Soo Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyun Soo Ko more than expected).
Fields of papers citing papers by Hyun Soo Ko
This network shows the impact of papers produced by Hyun Soo Ko. 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 Hyun Soo Ko. The network helps show where Hyun Soo Ko may publish in the future.
Co-authorship network of co-authors of Hyun Soo Ko
This figure shows the co-authorship network connecting the top 25 collaborators of Hyun Soo Ko. A scholar is included among the top collaborators of Hyun Soo Ko 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 Hyun Soo Ko. Hyun Soo Ko 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 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 28 | |
| 10 | 1 | |
| 11 | 25 | |
| 12 | 1 | |
| 13 | Molecular genetic characteristics of X-linked retinoschisis in Koreans. | 14 |
| 14 | 1 | |
| 15 | 83 | |
| 16 | 7 | |
| 17 | 9 | |
| 18 | 7 | |
| 19 | 80 | |
| 20 | M components-a review of 1242 cases. | 53 |
About Hyun Soo Ko
Hyun Soo Ko is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Gastroenterology, having authored 20 papers that have together received 324 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (29 citations), Gastroenterology (16 citations) and Hematology (31 citations). Hyun Soo Ko has collaborated with scholars based in Australia, Germany and South Korea. Frequent co-authors include J. Tröger, Jens Peter Schenk, Wiltrud Rohrschneider, W. Pruzanski, Arthur Ameis, Peter Bärtsch, Heimo Mairbäurl, Rudolf J. Wiesner, Sung Sup Park and Jin Hak Lee. Their work appears in journals such as Molecular Cancer Therapeutics, American Journal of Physiology-Lung Cellular and Molecular Physiology and European Radiology.
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.