Sung‐Won Kim
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Hematology 29
- Hematopoietic Stem Cell Transplantation 26
- Acute Myeloid Leukemia Research 10
- Oncology 24
- Neutropenia and Cancer Infections 6
- Co-authors
- Jaeseung Shin (7 shared papers)Joon Seok Lim (12 shared papers)Myeong‐Jin Kim (5 shared papers)Joseph Krajcik (2 shared papers)Eun‐Kyung Kim (7 shared papers)Namsoo Shin (1 shared paper)Hyunju Lee (1 shared paper)Kyunghee Choi (1 shared paper)
- Journals
- Scientific Reports (9 papers)Blood (9 papers)Biology of Blood and Marrow Transplantation (8 papers)International Journal of Hematology (8 papers)European Radiology (4 papers)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Sung‐Won Kim
122 papers receiving 2.2k citations
Sung‐Won Kim's Hit Papers
Peers
Comparison fields: 5 of 160
- Health Informatics 124
- Hepatology 182
- Radiology, Nuclear Medicine and Imaging 458
- Hematology 222
- Microbiology 12
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-authors
The 25 scholars most cited alongside Sung‐Won Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 194 | |
| 2 | 2011 | 172 | |
| 3 | 2019 | 159 | |
| 4 | MRI Radiomics Model Predicts Pathologic Complete Response of Rectal Cancer Following Chemoradiotherapy Hit paper breakdown → | 2022 | 156 |
| 5 | 2019 | 129 | |
| 6 | 2004 | 105 | |
| 7 | 2016 | 67 | |
| 8 | 2017 | 65 | |
| 9 | 2008 | 63 | |
| 10 | 2010 | 51 | |
| 11 | 2020 | 48 | |
| 12 | 2020 | 45 | |
| 13 | 2012 | 43 | |
| 14 | 2013 | 42 | |
| 15 | 2018 | 42 | |
| 16 | 2008 | 35 | |
| 17 | 2021 | 35 | |
| 18 | 2004 | 33 | |
| 19 | 2008 | 33 | |
| 20 | 2021 | 32 |
About Sung‐Won Kim
Sung‐Won Kim is a scholar working on Hematology, Oncology, Surgery, Radiology, Nuclear Medicine and Imaging and Public Health, Environmental and Occupational Health, having authored 129 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (26 papers), Acute Lymphoblastic Leukemia research (10 papers), Acute Myeloid Leukemia Research (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Medical Imaging Techniques and Applications (8 papers), Advanced X-ray and CT Imaging (7 papers), Neutropenia and Cancer Infections (6 papers) and Lymphoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Health Informatics (124 citations), Hepatology (182 citations), Radiology, Nuclear Medicine and Imaging (458 citations), Hematology (222 citations) and Microbiology (12 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, Eun‐Kyung Kim, Namsoo Shin, Hyunju Lee, Kyunghee Choi, Do Young Kim and Gi Hong Choi. Their work appears in journals such as Scientific Reports, Blood, Biology of Blood and Marrow Transplantation, International Journal of Hematology 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.