Sung-Won Kim

582 total citations
12 papers, 413 citations indexed

About

Sung-Won Kim is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Sung-Won Kim has authored 12 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cancer Research, 5 papers in Pathology and Forensic Medicine and 4 papers in Oncology. Recurrent topics in Sung-Won Kim's work include Breast Cancer Treatment Studies (8 papers), Breast Lesions and Carcinomas (5 papers) and Breast Implant and Reconstruction (3 papers). Sung-Won Kim is often cited by papers focused on Breast Cancer Treatment Studies (8 papers), Breast Lesions and Carcinomas (5 papers) and Breast Implant and Reconstruction (3 papers). Sung-Won Kim collaborates with scholars based in South Korea, Japan and United States. Sung-Won Kim's co-authors include Dong‐Young Noh, Woojae Kim, Rae Woong Park, Jeong Eon Lee, Ku Sang Kim, Man Young Park, Yong Sik Jung, Eunyoung Kang, So‐Youn Jung and Jong Won Lee and has published in prestigious journals such as Journal of Controlled Release, The American Journal of Human Genetics and Human Pathology.

In The Last Decade

Sung-Won Kim

12 papers receiving 402 citations

Peers

Sung-Won Kim
Comparison fields: 5 of 82
  • Cancer Research 188
  • Oncology 122
  • Pathology and Forensic Medicine 97
  • Artificial Intelligence 90
  • Molecular Biology 79
Replace Alarice Lowe with:
Alarice Lowe United States
Sten Thorstenson Sweden
Mike van Beek Netherlands
Janusz Szymaś Poland
Tianle Ma United States
Sofia Liou United States
Brittany Z. Dashevsky United States
Valeria Viassolo Switzerland
Raimundas Meškauskas Lithuania
Zhimin Shao China
Alarice Lowe United States View profile →
Citations per field, relative to Sung-Won Kim
Sung-Won Kim · 1×
Citations per year, relative to Sung-Won Kim
Sung-Won Kim · 1×

Countries citing papers authored by Sung-Won Kim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

12 of 12 papers shown
# Work Indexed citations
1 46
2 20
3 14
4 3
5 10
6 22
7 132
8 53
9 1
10 71
11 4
12 37

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.

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2026