Jongmin Kim

2.4k total citations
68 papers, 1.9k citations indexed

About

Jongmin Kim is a scholar working on Molecular Biology, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Jongmin Kim has authored 68 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Electronic, Optical and Magnetic Materials and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Jongmin Kim's work include Supercapacitor Materials and Fabrication (13 papers), MicroRNA in disease regulation (8 papers) and Advanced battery technologies research (7 papers). Jongmin Kim is often cited by papers focused on Supercapacitor Materials and Fabrication (13 papers), MicroRNA in disease regulation (8 papers) and Advanced battery technologies research (7 papers). Jongmin Kim collaborates with scholars based in South Korea, United States and United Kingdom. Jongmin Kim's co-authors include Woochul Chang, Aram Lee, Hyungsang Kim, Hyunsik Im, Yongcheol Jo, Myeong‐Sok Lee, Akbar I. Inamdar, Jin Gu Cho, Sangeun Cho and S.M. Pawar and has published in prestigious journals such as Circulation, Nature Communications and Blood.

In The Last Decade

Jongmin Kim

63 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jongmin Kim South Korea 24 630 494 482 313 209 68 1.9k
Longqiang Wang China 27 804 1.3× 556 1.1× 282 0.6× 549 1.8× 89 0.4× 60 2.1k
Wenlong Bai United States 38 1.8k 2.8× 1.0k 2.1× 483 1.0× 369 1.2× 284 1.4× 88 4.3k
Rupeng Zhang China 28 493 0.8× 783 1.6× 288 0.6× 294 0.9× 499 2.4× 99 2.2k
Zhikun Li China 19 338 0.5× 306 0.6× 369 0.8× 213 0.7× 45 0.2× 96 1.2k
Shengyu Zhou China 20 268 0.4× 522 1.1× 148 0.3× 104 0.3× 203 1.0× 129 1.8k
Sheng Liang China 25 839 1.3× 571 1.2× 206 0.4× 403 1.3× 81 0.4× 100 2.3k
Jonghoon Kim South Korea 20 814 1.3× 706 1.4× 174 0.4× 277 0.9× 205 1.0× 31 3.3k
Ruizhong Zhang China 26 744 1.2× 667 1.4× 81 0.2× 389 1.2× 244 1.2× 70 2.3k
Baotong Zhang China 22 723 1.1× 1.7k 3.4× 336 0.7× 434 1.4× 151 0.7× 58 2.8k
Yunyan Wu China 30 560 0.9× 513 1.0× 137 0.3× 331 1.1× 140 0.7× 95 2.6k

Countries citing papers authored by Jongmin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jongmin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jongmin Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jongmin Kim. A scholar is included among the top collaborators of Jongmin 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 Jongmin Kim. Jongmin 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.
Cho, Jin Gu, Aram Lee, Sora Han, et al.. (2025). Loss of primary cilia promotes EphA2 ‐mediated endothelial‐to‐mesenchymal transition in the ovarian tumor microenvironment. Molecular Oncology. 19(10). 2951–2966.
2.
Kim, Jongmin, Dain Lee, Yong Hwy Kim, et al.. (2025). Developing Deep Learning–Based Cerebral Ventricle Auto-Segmentation System and Clinical Application for the Evaluation of Ventriculomegaly. World Neurosurgery. 201. 124300–124300.
3.
4.
Park, Junghoan, Ijin Joo, Sun Kyung Jeon, et al.. (2024). Automated abdominal organ segmentation algorithms for non-enhanced CT for volumetry and 3D radiomics analysis. Abdominal Radiology. 50(3). 1448–1456. 2 indexed citations
5.
Park, Sun Young, et al.. (2024). Ratiometric fluorophores to ONOO– in living cells and monitoring endothelial dysfunction. Sensors and Actuators B Chemical. 426. 137068–137068. 6 indexed citations
6.
Kim, Chang‐Su, et al.. (2024). All-Cobalt-Free Layered/Olivine Mixed Cathode Material for High-Electrode Density and Enhanced Cycle-Life Performance. Electronic Materials Letters. 20(6). 799–806.
7.
Kim, Se-Jin, Ran Kim, Sang Hyeon Kim, et al.. (2023). Epigallocatechin-3-Gallate Attenuates Myocardial Dysfunction via Inhibition of Endothelial-to-Mesenchymal Transition. Antioxidants. 12(5). 1059–1059. 14 indexed citations
8.
Kim, Jongmin, et al.. (2023). Visual bibliometric analysis of electroacupuncture research in stroke treatment: a 20-year overview. Frontiers in Neuroscience. 17. 1265854–1265854. 2 indexed citations
9.
Song, Byeong‐Wook, Se-Jin Kim, Ran Kim, et al.. (2022). Regulation of Inflammation-Mediated Endothelial to Mesenchymal Transition with Echinochrome a for Improving Myocardial Dysfunction. Marine Drugs. 20(12). 756–756. 13 indexed citations
10.
Cho, Sangeun, Jongmin Kim, Jonghoon Han, et al.. (2022). Self-assembled RuO2 nanoneedles on Ta/Cu foil for a robust and high-performance supercapacitor electrode. Surfaces and Interfaces. 31. 102069–102069. 9 indexed citations
11.
Heo, Yunseok, Hyeongseop Jeong, Ji-Hye Yun, et al.. (2021). Structural and Functional Characterizations of Cancer Targeting Nanoparticles Based on Hepatitis B Virus Capsid. International Journal of Molecular Sciences. 22(17). 9140–9140. 1 indexed citations
12.
Cho, Jin Gu, Ji Young Park, Sumin Oh, et al.. (2020). MiR-146a Regulates Migration and Invasion by Targeting NRP2 in Circulating-Tumor Cell Mimicking Suspension Cells. Genes. 12(1). 45–45. 11 indexed citations
13.
Seo, Hyang‐Hee, Se-Yeon Lee, Chang Youn Lee, et al.. (2017). Exogenous miRNA-146a Enhances the Therapeutic Efficacy of Human Mesenchymal Stem Cells by Increasing Vascular Endothelial Growth Factor Secretion in the Ischemia/Reperfusion-Injured Heart. Journal of Vascular Research. 54(2). 100–108. 49 indexed citations
14.
Han, Seung Hun, Soohyun Kim, Hyoung-June Kim, et al.. (2017). Mir-424 and Mir-503 Regulates Cobll1 Expression during the CML Progression. Blood. 130. 4177–4177. 2 indexed citations
15.
Lee, Aram, Jong Min Kim, Jihea Choi, et al.. (2016). Negative regulation of NOD1 mediated angiogenesis by PPARγ-regulated miR-125a. Biochemical and Biophysical Research Communications. 482(1). 28–34. 14 indexed citations
16.
Kim, Ran, Sang‐In Park, Chang Youn Lee, et al.. (2016). Alternative new mesenchymal stem cell source exerts tumor tropism through ALCAM and N-cadherin via regulation of microRNA-192 and -218. Molecular and Cellular Biochemistry. 427(1-2). 177–185. 13 indexed citations
17.
18.
Kim, Jongmin. (2014). Apelin-APJ Signaling: a Potential Therapeutic Target for Pulmonary Arterial Hypertension. Molecules and Cells. 37(3). 196–201. 57 indexed citations
19.
Ham, Onju, Chang Youn Lee, Byeong‐Wook Song, et al.. (2014). Upregulation of miR-23b Enhances the Autologous Therapeutic Potential for Degenerative Arthritis by Targeting PRKACB in Synovial Fluid-Derived Mesenchymal Stem Cells from Patients. Molecules and Cells. 37(6). 449–456. 32 indexed citations
20.
Shin, Dong-Jik, Yangsoo Jang, Hyun‐Young Park, et al.. (2004). Genetic analysis of the cardiac sodium channel gene SCN5A in Koreans with Brugada syndrome. Journal of Human Genetics. 49(10). 573–578. 16 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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