Min Suk Kim

2.8k total citations
97 papers, 2.2k citations indexed

About

Min Suk Kim is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Rheumatology. According to data from OpenAlex, Min Suk Kim has authored 97 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Pulmonary and Respiratory Medicine, 25 papers in Surgery and 22 papers in Rheumatology. Recurrent topics in Min Suk Kim's work include Sarcoma Diagnosis and Treatment (27 papers), Bone Tumor Diagnosis and Treatments (20 papers) and Cardiac tumors and thrombi (9 papers). Min Suk Kim is often cited by papers focused on Sarcoma Diagnosis and Treatment (27 papers), Bone Tumor Diagnosis and Treatments (20 papers) and Cardiac tumors and thrombi (9 papers). Min Suk Kim collaborates with scholars based in South Korea, United States and Canada. Min Suk Kim's co-authors include Dae‐Geun Jeon, Won Seok Song, Soo‐Yong Lee, Brian Rodrigues, Jun Ah Lee, Prasanth Puthanveetil, Ashraf Abrahani, Hyun‐Ah Kim, Ji Young Yoo and Ying Wang and has published in prestigious journals such as Diabetes, Oncogene and Free Radical Biology and Medicine.

In The Last Decade

Min Suk Kim

93 papers receiving 2.1k citations

Peers

Min Suk Kim
Aud Svindland Norway
Francisco G. La Rosa United States
Masatoshi Kusuhara Japan
Nikolaos Kavantzas Greece
Ning Zhang China
Yoshikatsu Okada Japan
Christoph Otto Germany
Kristof Graf Germany
Seong‐Hun Kim South Korea
Aud Svindland Norway
Min Suk Kim
Citations per year, relative to Min Suk Kim Min Suk Kim (= 1×) peers Aud Svindland

Countries citing papers authored by Min Suk Kim

Since Specialization
Citations

This map shows the geographic impact of Min Suk 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 Min Suk Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Suk Kim more than expected).

Fields of papers citing papers by Min Suk Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Suk 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 Min Suk Kim. The network helps show where Min Suk Kim may publish in the future.

Co-authorship network of co-authors of Min Suk Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Min Suk Kim. A scholar is included among the top collaborators of Min Suk 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 Min Suk Kim. Min Suk Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jeong, Jae‐Hyeok, et al.. (2025). Extended Maximum Actor–Critic Framework Based on Policy Gradient Reinforcement for System Optimization. Applied Sciences. 15(4). 1828–1828. 1 indexed citations
2.
Jeong, Jae‐Hyeok, et al.. (2024). Leak Event Diagnosis for Power Plants: Generative Anomaly Detection Using Prototypical Networks. Sensors. 24(15). 4991–4991. 1 indexed citations
3.
Park, Soo‐Kyung, Sangsoo Kim, Chil-Woo Lee, et al.. (2023). Enrichment of Activated Fibroblasts as a Potential Biomarker for a Non-Durable Response to Anti-Tumor Necrosis Factor Therapy in Patients with Crohn’s Disease. International Journal of Molecular Sciences. 24(19). 14799–14799. 1 indexed citations
4.
Kim, Sangsoo, Tae Oh Kim, Soo‐Kyung Park, et al.. (2023). A Machine Learning-Based Diagnostic Model for Crohn’s Disease and Ulcerative Colitis Utilizing Fecal Microbiome Analysis. Microorganisms. 12(1). 36–36. 9 indexed citations
5.
Kim, Min Suk, et al.. (2023). Deep-Learning-Based Sequence Causal Long-Term Recurrent Convolutional Network for Data Fusion Using Video Data. Electronics. 12(5). 1115–1115. 4 indexed citations
6.
Kang, Sang‐Bum, Sangsoo Kim, Soo‐Kyung Park, et al.. (2023). Potential Oral Microbial Markers for Differential Diagnosis of Crohn’s Disease and Ulcerative Colitis Using Machine Learning Models. Microorganisms. 11(7). 1665–1665. 15 indexed citations
7.
Jeon, Dae‐Geun, et al.. (2022). The clinical outcome of hemicortical resection in extremity malignant bone tumors. Journal of Surgical Oncology. 125(5). 924–932. 1 indexed citations
8.
Kang, Eun Ae, Chang Hwan Choi, Sang‐Bum Kang, et al.. (2021). Development of a Clinical and Genetic Prediction Model for Early Intestinal Resection in Patients with Crohn’s Disease: Results from the IMPACT Study. Journal of Clinical Medicine. 10(4). 633–633. 16 indexed citations
9.
Kim, Tae Hee, et al.. (2019). The effects of creative teaching technique applied to nursing major curriculum on critical thinking disposition, problem solving process, and self leadership. Journal of the Korean Chemical Society. 10(3). 373–382. 6 indexed citations
10.
Kim, Min Suk, Ying Wang, & Brian Rodrigues. (2011). Lipoprotein lipase mediated fatty acid delivery and its impact in diabetic cardiomyopathy. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1821(5). 800–808. 39 indexed citations
11.
Kim, Min Suk, Myung Ho Jeong, Seung Hwan Hwang, et al.. (2010). Clinical pattern changes in elderly patients who underwent percutaneous coronary intervention in the last ten years. The Korean Journal of Internal Medicine. 79(6). 661–672. 3 indexed citations
12.
Kim, Mi‐Sook, Chul-Koo Cho, Kwangmo Yang, et al.. (2009). Stereotactic Body Radiation Therapy Boost in Locally Advanced Pancreatic Cancer. International Journal of Radiation Oncology*Biology*Physics. 75(5). 1456–1461. 30 indexed citations
13.
Kewalramani, Girish, Prasanth Puthanveetil, Fang Wang, et al.. (2009). AMP-activated protein kinase confers protection against TNF-α-induced cardiac cell death. Cardiovascular Research. 84(1). 42–53. 62 indexed citations
14.
Kim, Mi Sook, Chul Koo Cho, Hyung Jun Yoo, et al.. (2009). Stereotactic Body Radiation Therapy Using Three Fractions for Isolated Lung Recurrence from Colorectal Cancer. Oncology. 76(3). 212–219. 52 indexed citations
15.
Kewalramani, Girish, Prasanth Puthanveetil, Min Suk Kim, et al.. (2008). Acute dexamethasone-induced increase in cardiac lipoprotein lipase requires activation of both Akt and stress kinases. American Journal of Physiology-Endocrinology and Metabolism. 295(1). E137–E147. 25 indexed citations
16.
Kim, Min Suk, Soo‐Yong Lee, Wan Hyeong Cho, et al.. (2008). Growth patterns of osteosarcoma predict patient survival. Archives of Orthopaedic and Trauma Surgery. 129(9). 1189–1196. 7 indexed citations
17.
Kim, Min Suk, et al.. (2007). Prognostic significance of ezrin expression in pleomorphic malignant fibrous histiocytoma.. PubMed. 27(2). 1171–8. 17 indexed citations
18.
Chung, Jin Haeng, et al.. (2002). Fine Needle Aspiration Cytologic Features of Follicular Lymphoma. 13(2). 60–65. 1 indexed citations
19.
Huh, Do Sung, et al.. (2001). Free Radical Polymerization of Diacrylate by Thermal Front. Bulletin of the Korean Chemical Society. 22(7). 769–771. 5 indexed citations
20.
Adams, Brett, Yasuo Mori, Min Suk Kim, Toshizumi Tanabe, & Kurt G. Beam. (1994). Heterologous expression of BI Ca2+ channels in dysgenic skeletal muscle.. The Journal of General Physiology. 104(5). 985–996. 13 indexed citations

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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