Sung‐Won Kim
- Radiology, Nuclear Medicine and Imaging top 2%
- Oncology top 5%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Biomedical Engineering top 10%
- Co-authors
- Jaeseung ShinJoon Seok LimMyeong‐Jin KimJoseph KrajcikHyunju LeeKyunghee ChoiNamsoo ShinEun‐Kyung Kim
- Topics
- Hematopoietic Stem Cell Transplantation (26 papers)Radiomics and Machine Learning in Medical Imaging (17 papers)Acute Myeloid Leukemia Research (10 papers)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Sung‐Won Kim
123 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Radiology, Nuclear Medicine and Imaging 733
- Oncology 471
- Surgery 325
- Pulmonary and Respiratory Medicine 275
- Biomedical Engineering 269
Countries citing papers authored by Sung‐Won Kim
This map shows the geographic impact of Sung‐Won 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 Sung‐Won Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung‐Won Kim more than expected).
Fields of papers citing papers by Sung‐Won Kim
This network shows the impact of papers produced by Sung‐Won 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 Sung‐Won Kim. The network helps show where Sung‐Won Kim may publish in the future.
Co-authorship network of co-authors of Sung‐Won Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Won Kim. A scholar is included among the top collaborators of Sung‐Won 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 Sung‐Won Kim. Sung‐Won 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 | 2 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 42 | |
| 7 | 155 | |
| 8 | 15 | |
| 9 | 7 | |
| 10 | Exploration of socioscientific issues(SSI) in the science textbook | 2 |
| 11 | 0 | |
| 12 | Transoral $CO_2$ Laser Surgery of Supraglottic Cancer | 1 |
| 13 | 0 | |
| 14 | 63 | |
| 15 | 2 | |
| 16 | Analysis of RET Gene Point Mutation in a Family with Multiple Endocrine Neoplasia Type 2A | 1 |
| 17 | 15 | |
| 18 | 9 | |
| 19 | Retrospective Study for the Isolation of Influenza Virus and Prevalence Period in Busan from 2000 to 2002 | 1 |
| 20 | A Study on Design of Barrel Cam Using Relative Velocity | 3 |
About Sung‐Won Kim
Sung‐Won Kim is a scholar working on Hematology, Health Informatics and Microbiology, having authored 129 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (26 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Acute Myeloid Leukemia Research (10 papers). The work is most often cited by research in Health Informatics (144 citations), Radiology, Nuclear Medicine and Imaging (733 citations) and Hepatology (199 citations). Sung‐Won Kim has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Jaeseung Shin, Joon Seok Lim, Myeong‐Jin Kim, Joseph Krajcik, Hyunju Lee, Kyunghee Choi, Namsoo Shin, Eun‐Kyung Kim, Jin‐Young Choi and Do Young Kim. Their work appears in journals such as Journal of the American Chemical Society, Blood 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.