Bong Joo Kang
- Radiology, Nuclear Medicine and Imaging top 1%
- Pathology and Forensic Medicine top 2%
- Cancer Research top 5%
- Artificial Intelligence top 2%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Sung Hun KimByung Joo SongAhwon LeeYeong Yi AnChang Suk ParkHyeon Woo YimSeung Hee JeongJae Jeong Choi
- Topics
- Breast Lesions and Carcinomas (56 papers)MRI in cancer diagnosis (40 papers)Radiomics and Machine Learning in Medical Imaging (37 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Bong Joo Kang
109 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 97
- Radiology, Nuclear Medicine and Imaging 1.3k
- Pathology and Forensic Medicine 614
- Cancer Research 536
- Artificial Intelligence 527
- Pulmonary and Respiratory Medicine 380
Countries citing papers authored by Bong Joo Kang
This map shows the geographic impact of Bong Joo 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 Bong Joo Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bong Joo Kang more than expected).
Fields of papers citing papers by Bong Joo Kang
This network shows the impact of papers produced by Bong Joo 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 Bong Joo Kang. The network helps show where Bong Joo Kang may publish in the future.
Co-authorship network of co-authors of Bong Joo Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Bong Joo Kang. A scholar is included among the top collaborators of Bong Joo Kang 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 Bong Joo Kang. Bong Joo Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 10 | |
| 7 | 23 | |
| 8 | 20 | |
| 9 | 31 | |
| 10 | 42 | |
| 11 | 13 | |
| 12 | 57 | |
| 13 | 24 | |
| 14 | 17 | |
| 15 | 14 | |
| 16 | 11 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 5 |
About Bong Joo Kang
Bong Joo Kang is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 116 papers that have together received 2.2k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (56 papers), MRI in cancer diagnosis (40 papers) and Radiomics and Machine Learning in Medical Imaging (37 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Cancer Research (536 citations) and Pathology and Forensic Medicine (614 citations). Bong Joo Kang has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Sung Hun Kim, Byung Joo Song, Ahwon Lee, Yeong Yi An, Chang Suk Park, Hyeon Woo Yim, Seung Hee Jeong, Jae Jeong Choi, So Lyung Jung and Na Young Jung. Their work appears in journals such as Nature Communications, 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.