Jung Hun Oh
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 2%
- Radiation top 1%
- Molecular Biology
- Surgery top 10%
- Co-authors
- Joseph O. DeasyAditya ApteJean GaoHarini VeeraraghavanAmita Shukla‐DavePer Munck af RosenschöldElizabeth A. MorrisMingon Kang
- Topics
- Radiomics and Machine Learning in Medical Imaging (41 papers)Advanced Radiotherapy Techniques (20 papers)Bioinformatics and Genomic Networks (20 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologyPhysical review. B, Condensed matter
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Jung Hun Oh
166 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 158
- Radiology, Nuclear Medicine and Imaging 1.4k
- Pulmonary and Respiratory Medicine 1.0k
- Radiation 548
- Molecular Biology 467
- Surgery 404
Countries citing papers authored by Jung Hun Oh
This map shows the geographic impact of Jung Hun Oh'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 Jung Hun Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jung Hun Oh more than expected).
Fields of papers citing papers by Jung Hun Oh
This network shows the impact of papers produced by Jung Hun Oh. 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 Jung Hun Oh. The network helps show where Jung Hun Oh may publish in the future.
Co-authorship network of co-authors of Jung Hun Oh
This figure shows the co-authorship network connecting the top 25 collaborators of Jung Hun Oh. A scholar is included among the top collaborators of Jung Hun Oh 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 Jung Hun Oh. Jung Hun Oh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 45 | |
| 9 | 13 | |
| 10 | 17 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 42 | |
| 16 | 1 | |
| 17 | 29 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 7 |
About Jung Hun Oh
Jung Hun Oh is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 175 papers that have together received 3.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (41 papers), Advanced Radiotherapy Techniques (20 papers) and Bioinformatics and Genomic Networks (20 papers). The work is most often cited by research in Radiation (548 citations), Radiology, Nuclear Medicine and Imaging (1.4k citations) and Health Informatics (74 citations). Jung Hun Oh has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Joseph O. Deasy, Aditya Apte, Jean Gao, Harini Veeraraghavan, Amita Shukla‐Dave, Per Munck af Rosenschöld, Elizabeth A. Morris, Mingon Kang, Elizabeth J. Sutton and Maria Thor. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Physical review. B, Condensed matter.
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.