Mansu Kim

707 total citations
50 papers, 518 citations indexed

About

Mansu Kim is a scholar working on Molecular Biology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mansu Kim has authored 50 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Cognitive Neuroscience and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mansu Kim's work include Functional Brain Connectivity Studies (12 papers), Advanced Neuroimaging Techniques and Applications (11 papers) and Bioinformatics and Genomic Networks (10 papers). Mansu Kim is often cited by papers focused on Functional Brain Connectivity Studies (12 papers), Advanced Neuroimaging Techniques and Applications (11 papers) and Bioinformatics and Genomic Networks (10 papers). Mansu Kim collaborates with scholars based in South Korea, United States and Canada. Mansu Kim's co-authors include Hyunjin Park, Bo‐yong Park, Jinyoung Youn, Li Shen, Se‐Hong Kim, Hyun Gi Kim, Mi Ji Lee, Kefei Liu, Qi Long and Sung-Soo Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mansu Kim

44 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mansu Kim South Korea 16 132 94 92 80 78 50 518
Zhengshi Yang United States 15 253 1.9× 52 0.6× 87 0.9× 204 2.5× 90 1.2× 41 597
Ali Yadollahpour Iran 17 196 1.5× 31 0.3× 46 0.5× 80 1.0× 48 0.6× 66 816
Seung Joo Kim South Korea 17 116 0.9× 64 0.7× 104 1.1× 84 1.1× 71 0.9× 48 631
Yuankai Zhu China 10 65 0.5× 35 0.4× 174 1.9× 89 1.1× 35 0.4× 25 570
Yingying Wang China 14 239 1.8× 136 1.4× 144 1.6× 32 0.4× 25 0.3× 41 612
Kang Uk Lee South Korea 10 164 1.2× 33 0.4× 34 0.4× 106 1.3× 19 0.2× 26 430
Zirun Wang China 11 55 0.4× 62 0.7× 58 0.6× 72 0.9× 29 0.4× 25 432
Suhong Wang China 11 182 1.4× 42 0.4× 27 0.3× 44 0.6× 54 0.7× 65 451
Xiaoyong Chen China 12 18 0.1× 92 1.0× 206 2.2× 106 1.3× 63 0.8× 45 759
Shimin Yin China 12 169 1.3× 54 0.6× 32 0.3× 24 0.3× 14 0.2× 45 538

Countries citing papers authored by Mansu Kim

Since Specialization
Citations

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

Fields of papers citing papers by Mansu Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mansu Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Mansu Kim. A scholar is included among the top collaborators of Mansu 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 Mansu Kim. Mansu 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, Mansu, et al.. (2025). Kinetic quenching-enabled one-step spray pyrolysis synthesis of highly dispersed Ni/SiO₂ catalysts for enhanced dry methane reforming. Chemical Engineering Journal. 520. 165594–165594. 1 indexed citations
2.
Kim, Mansu, et al.. (2024). Prognostic model for predicting Alzheimer’s disease conversion using functional connectome manifolds. Alzheimer s Research & Therapy. 16(1). 217–217. 1 indexed citations
3.
Kim, Bo‐Hyun, Hee Jin Kim, Hyemin Jang, et al.. (2023). Clinical effects of novel susceptibility genes for beta-amyloid: a gene-based association study in the Korean population. Frontiers in Aging Neuroscience. 15. 1278998–1278998. 4 indexed citations
4.
Park, Dougho, et al.. (2022). Behavioral and Disease-Related Characteristics of Patients with Acute Stroke during the Coronavirus Disease Pandemic. Healthcare. 10(4). 604–604. 1 indexed citations
5.
Park, Dougho, et al.. (2022). Classification of expert-level therapeutic decisions for degenerative cervical myelopathy using ensemble machine learning algorithms. Frontiers in Surgery. 9. 1010420–1010420. 3 indexed citations
6.
Youn, Jinyoung, Mansu Kim, Suyeon Park, et al.. (2022). Pallidal Structural Changes Related to Levodopa-induced Dyskinesia in Parkinson's Disease. Frontiers in Aging Neuroscience. 14. 781883–781883.
7.
Kim, Mansu, et al.. (2022). Identifying Alzheimer’s genes via brain transcriptome mapping. BMC Medical Genomics. 15(S2). 116–116. 2 indexed citations
8.
Youn, Jinyoung, Mansu Kim, Seung Hwan Moon, et al.. (2022). Extra-Basal Ganglia Brain Structures Are Related to Motor Reserve in Parkinson’s Disease. Journal of Parkinson s Disease. 13(1). 39–48. 5 indexed citations
9.
Park, Bo‐yong, Hyunjin Park, Filip Morys, et al.. (2021). Inter-individual body mass variations relate to fractionated functional brain hierarchies. Communications Biology. 4(1). 735–735. 24 indexed citations
10.
Kim, Mansu, Jingxuan Bao, Kefei Liu, et al.. (2021). A structural enriched functional network: An application to predict brain cognitive performance. Medical Image Analysis. 71. 102026–102026. 19 indexed citations
11.
Park, Bo‐yong, et al.. (2020). Multivariate association between brain function and eating disorders using sparse canonical correlation analysis. PLoS ONE. 15(8). e0237511–e0237511. 8 indexed citations
12.
Kim, Mansu, et al.. (2020). Structural Connectivity Enriched Functional Brain Network Using Simplex Regression with GraphNet. Lecture notes in computer science. 12436. 292–302. 2 indexed citations
13.
14.
Kim, Mansu, et al.. (2019). Effectiveness of imaging genetics analysis to explain degree of depression in Parkinson’s disease. PLoS ONE. 14(2). e0211699–e0211699. 9 indexed citations
15.
Jung, Suho, Mansu Kim, Byung‐Sung Kim, et al.. (2019). Unraveling the Factors Affecting the Electrochemical Performance of MoS2–Carbon Composite Catalysts for Hydrogen Evolution Reaction: Surface Defect and Electrical Resistance of Carbon Supports. ACS Applied Materials & Interfaces. 11(5). 5037–5045. 20 indexed citations
16.
Kim, Mansu, et al.. (2019). Snowpiercer and Imagination Beyond Dichotomy - The Rule of Three and the Power of Play -. 165–189.
17.
Park, Bo‐yong, Mi Ji Lee, Mansu Kim, Se‐Hong Kim, & Hyunjin Park. (2018). Structural and Functional Brain Connectivity Changes Between People With Abdominal and Non-abdominal Obesity and Their Association With Behaviors of Eating Disorders. Frontiers in Neuroscience. 12. 741–741. 36 indexed citations
18.
Kim, Mansu, et al.. (2017). Imaging genetics approach to Parkinson’s disease and its correlation with clinical score. Scientific Reports. 7(1). 46700–46700. 15 indexed citations
19.
Park, Bo‐yong, Mansu Kim, Jongbum Seo, Jong‐Min Lee, & Hyunjin Park. (2015). Connectivity Analysis and Feature Classification in Attention Deficit Hyperactivity Disorder Sub-Types: A Task Functional Magnetic Resonance Imaging Study. Brain Topography. 29(3). 429–439. 24 indexed citations
20.
Park, Hyunjin, Seung-Hak Lee, & Mansu Kim. (2015). Planning for selective amygdalohippocampectomy involving less neuronal fiber damage based on brain connectivity using tractography. SHILAP Revista de lepidopterología. 10(7). 1107–1107. 4 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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