Won Jun Kang
- Obstetrics and Gynecology top 2%
- Endometrial and Cervical Cancer Treatments 15
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- Medical Imaging Techniques and Applications 27
- Radiomics and Machine Learning in Medical Imaging 24
- MRI in cancer diagnosis 10
- Reproductive Medicine top 2%
- Ovarian cancer diagnosis and treatment 17
- Genetics top 5%
- Cancer Research top 10%
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- Advanced biosensing and bioanalysis techniques 15
- RNA Interference and Gene Delivery 10
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- Thin-Film Transistor Technologies 11
- Co-authors
- June‐Key ChungMijin YunSoonhag KimJu Ri ChaeYe Lim ChoJong Doo LeeArthur ChoHyun‐Jae Kang
- Journals
- European Journal of Nuclear Medicine and Molecular Imaging (7 papers)Annals of Nuclear Medicine (7 papers)European Radiology (5 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Won Jun Kang
143 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 118
- Obstetrics and Gynecology 297
- Radiology, Nuclear Medicine and Imaging 815
- Reproductive Medicine 297
- Genetics 295
- Cancer Research 271
Countries citing papers authored by Won Jun Kang
This map shows the geographic impact of Won Jun Kang'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 Won Jun Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Jun Kang more than expected).
Fields of papers citing papers by Won Jun Kang
This network shows the impact of papers produced by Won Jun Kang. 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 Won Jun Kang. The network helps show where Won Jun Kang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Won Jun Kang, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 7 | |
| 8 | 2021 | 7 | |
| 9 | 2020 | 22 | |
| 10 | 2019 | 5 | |
| 11 | 2019 | 6 | |
| 12 | 2017 | 12 | |
| 13 | 2017 | 20 | |
| 14 | 2017 | 38 | |
| 15 | 2015 | 3 | |
| 16 | 2015 | 1 | |
| 17 | 2014 | 59 | |
| 18 | 2008 | 42 | |
| 19 | A Review of the Statistical Analysis used in Clinical Articles Published on Journal of Korean Neurosurgical Society. | 2006 | 2 |
| 20 | 2005 | 50 |
About Won Jun Kang
Won Jun Kang is a scholar working on Radiology, Nuclear Medicine and Imaging, Reproductive Medicine, Obstetrics and Gynecology, Otorhinolaryngology and Hepatology, having authored 148 papers that have together received 2.9k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (27 papers), Radiomics and Machine Learning in Medical Imaging (24 papers), Ovarian cancer diagnosis and treatment (17 papers), Advanced biosensing and bioanalysis techniques (15 papers), Endometrial and Cervical Cancer Treatments (15 papers), Thin-Film Transistor Technologies (11 papers), MRI in cancer diagnosis (10 papers) and RNA Interference and Gene Delivery (10 papers). The work is most often cited by research in Obstetrics and Gynecology (297 citations), Radiology, Nuclear Medicine and Imaging (815 citations), Reproductive Medicine (297 citations), Genetics (295 citations) and Cancer Research (271 citations). Won Jun Kang has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include June‐Key Chung, Mijin Yun, Soonhag Kim, Ju Ri Chae, Ye Lim Cho, Jong Doo Lee, Arthur Cho, Hyun‐Jae Kang, Hyo‐Soo Kim and Dong Soo Lee. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Annals of Nuclear Medicine, European Radiology, Biomaterials 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.