Minjae Kim

1.9k total citations
78 papers, 1.1k citations indexed

About

Minjae Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Minjae Kim has authored 78 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Pulmonary and Respiratory Medicine and 11 papers in Surgery. Recurrent topics in Minjae Kim's work include Radiomics and Machine Learning in Medical Imaging (14 papers), MRI in cancer diagnosis (10 papers) and Glioma Diagnosis and Treatment (9 papers). Minjae Kim is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (14 papers), MRI in cancer diagnosis (10 papers) and Glioma Diagnosis and Treatment (9 papers). Minjae Kim collaborates with scholars based in South Korea, United States and Belarus. Minjae Kim's co-authors include Ho Sung Kim, Ji Eun Park, Seo Young Park, Guohua Li, Sang Joon Kim, Jeong Hoon Kim, Chong Hyun Suh, Soo Jung Nam, Young‐Hoon Kim and Junil Kim and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Minjae Kim

71 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Minjae Kim South Korea 19 352 201 172 160 145 78 1.1k
Michael J. Potchen United States 18 255 0.7× 136 0.7× 173 1.0× 53 0.3× 97 0.7× 43 1.3k
Kai Yan China 16 253 0.7× 193 1.0× 249 1.4× 61 0.4× 56 0.4× 75 1.7k
Bruno Laganà Italy 21 146 0.4× 198 1.0× 272 1.6× 70 0.4× 97 0.7× 65 1.5k
Ahmet Muhteşem Ağıldere Türkiye 23 332 0.9× 315 1.6× 75 0.4× 48 0.3× 143 1.0× 101 1.5k
Jieying Zhang China 18 290 0.8× 140 0.7× 256 1.5× 51 0.3× 177 1.2× 83 1.2k
Shan Huang China 16 224 0.6× 166 0.8× 190 1.1× 29 0.2× 86 0.6× 87 1.1k
Sandrine Guis France 24 211 0.6× 58 0.3× 134 0.8× 79 0.5× 321 2.2× 68 1.7k
Jeong Seok Yeo South Korea 14 474 1.3× 195 1.0× 79 0.5× 103 0.6× 41 0.3× 24 1.0k
Abdulhakim Çoşkun Türkiye 18 141 0.4× 121 0.6× 38 0.2× 60 0.4× 181 1.2× 60 947
Stefan M. Weiner Germany 21 201 0.6× 201 1.0× 37 0.2× 46 0.3× 226 1.6× 56 1.4k

Countries citing papers authored by Minjae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Minjae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minjae Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Minjae Kim. A scholar is included among the top collaborators of Minjae 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 Minjae Kim. Minjae 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.
Kim, Minjae, et al.. (2025). Identifying Risk Factors for Lung Cancer in Never-smokers: A Case-control Study. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A5299–A5299.
2.
3.
Kim, Minjae, Seung Chai Jung, Soo Chin Kim, et al.. (2023). Proposed Protocols for Artificial Intelligence Imaging Database in Acute Stroke Imaging. SHILAP Revista de lepidopterología. 18(3). 149–158.
4.
Kim, Minjae, Jinyoung Yeo, Kyunghwa Han, et al.. (2023). Natural language processing to predict isocitrate dehydrogenase genotype in diffuse glioma using MR radiology reports. European Radiology. 33(11). 8017–8025. 7 indexed citations
5.
Kim, Minjae, et al.. (2023). Associated systemic diseases and etiologies of medication-related osteonecrosis of the jaw: a retrospective study of 265 surgical cases. Maxillofacial Plastic and Reconstructive Surgery. 45(1). 12–12. 5 indexed citations
6.
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Kwon, Ji‐Soo, Taeeun Kim, Min‐Chul Kim, et al.. (2021). Viral and Immunologic Factors Associated with Fatal Outcome of Patients with Severe Fever with Thrombocytopenia Syndrome in Korea. Viruses. 13(12). 2351–2351. 19 indexed citations
8.
Kim, Minjae, et al.. (2021). Reproducibility of radiomic features in SENSE and compressed SENSE: impact of acceleration factors. European Radiology. 31(9). 6457–6470. 5 indexed citations
9.
Kim, Minjae, Sang Joon Kim, Ji Eun Park, et al.. (2021). Combination of automated brain volumetry on MRI and quantitative tau deposition on THK-5351 PET to support diagnosis of Alzheimer’s disease. Scientific Reports. 11(1). 10343–10343. 11 indexed citations
10.
11.
Kim, Minjae, et al.. (2021). Radiomics-based model for predicting pathological complete response to neoadjuvant chemotherapy in muscle-invasive bladder cancer. Clinical Radiology. 76(8). 627.e13–627.e21. 20 indexed citations
12.
Kim, Minjae, Chong Hyun Suh, Sang Min Lee, et al.. (2020). Diagnostic Yield of Staging Brain MRI in Patients with Newly Diagnosed Non–Small Cell Lung Cancer. Radiology. 297(2). 419–427. 20 indexed citations
13.
Lee, Min Kyoung, Jeong Hyun Lee, Ji Heui Kim, et al.. (2020). Diagnostic Accuracy of MRI-Based Morphometric Parameters for Detecting Olfactory Nerve Dysfunction. American Journal of Neuroradiology. 41(9). 1698–1702. 3 indexed citations
14.
Kwon, Ji‐Soo, Min‐Chul Kim, Ji Yeun Kim, et al.. (2018). Kinetics of viral load and cytokines in severe fever with thrombocytopenia syndrome. Journal of Clinical Virology. 101. 57–62. 55 indexed citations
15.
Kim, Ji Yeun, Min‐Chul Kim, Hye Hee, et al.. (2018). Combined IFN-γ and TNF-α release assay for differentiating active tuberculosis from latent tuberculosis infection. Journal of Infection. 77(4). 314–320. 14 indexed citations
16.
Kim, Minjae, Sang Min Lee, Jaewoo Song, et al.. (2017). Added value of prone CT in the assessment of honeycombing and classification of usual interstitial pneumonia pattern. European Journal of Radiology. 91. 66–70. 26 indexed citations
17.
Hong, Seok Ho, Taeeun Kim, Jung Min Lee, Minjae Kim, & Sung‐Han Kim. (2017). A 63-Year-Old Korean Woman With Abnormal Magnetic Resonance Imaging Results. Clinical Infectious Diseases. 65(8). 1421–1422. 1 indexed citations
18.
Lee, Joungmin, et al.. (2017). The catalytic activity of a recombinant single chain variable fragment nucleic acid-hydrolysing antibody varies with fusion tag and expression host. Archives of Biochemistry and Biophysics. 633. 110–117. 7 indexed citations
19.
Lee, Joungmin, Minjae Kim, Yeonjin Lee, et al.. (2015). Functional stability of 3D8 scFv, a nucleic acid-hydrolyzing single chain antibody, under different biochemical and physical conditions. International Journal of Pharmaceutics. 496(2). 561–570. 8 indexed citations
20.
Kim, H., Minjae Kim, Ying-Shu Quan, et al.. (2011). Novel anti‐wrinkle effect of cosmeceutical product with new retinyl retinoate microsphere using biodegradable polymer. Skin Research and Technology. 18(1). 70–76. 5 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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