Jongwoon Kim

1.3k total citations
58 papers, 951 citations indexed

About

Jongwoon Kim is a scholar working on Biomedical Engineering, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Jongwoon Kim has authored 58 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 15 papers in Materials Chemistry and 14 papers in Computational Theory and Mathematics. Recurrent topics in Jongwoon Kim's work include Computational Drug Discovery Methods (14 papers), Neuroscience and Neural Engineering (6 papers) and Advanced Sensor and Energy Harvesting Materials (6 papers). Jongwoon Kim is often cited by papers focused on Computational Drug Discovery Methods (14 papers), Neuroscience and Neural Engineering (6 papers) and Advanced Sensor and Energy Harvesting Materials (6 papers). Jongwoon Kim collaborates with scholars based in South Korea, United States and Germany. Jongwoon Kim's co-authors include Tung X. Trinh, Xiaoting Jia, Tae Hyun Yoon, Ziang Feng, Jang-Sik Choi, Hyung‐Gi Byun, Chang‐Soo Han, Gabriele E. Schaumann, Yuxin Tong and Blake N. Johnson and has published in prestigious journals such as Nature Communications, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Jongwoon Kim

54 papers receiving 936 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jongwoon Kim South Korea 17 358 265 177 126 120 58 951
Xiaoyu Wang China 24 186 0.5× 650 2.5× 15 0.1× 56 0.4× 238 2.0× 74 1.3k
Xiangyi Wang China 17 200 0.6× 313 1.2× 36 0.2× 12 0.1× 150 1.3× 76 825
Liqin Zhou China 17 93 0.3× 247 0.9× 29 0.2× 13 0.1× 82 0.7× 53 905
Gang Lü China 17 274 0.8× 164 0.6× 23 0.1× 13 0.1× 110 0.9× 42 818
Wenjin Zhou China 16 383 1.1× 527 2.0× 12 0.1× 63 0.5× 225 1.9× 77 1.5k
Qi Yao China 22 161 0.4× 905 3.4× 9 0.1× 35 0.3× 515 4.3× 70 1.8k
Hai Liu China 19 240 0.7× 332 1.3× 17 0.1× 9 0.1× 557 4.6× 66 1.1k
Leila Mahdavian Iran 12 185 0.5× 229 0.9× 16 0.1× 14 0.1× 111 0.9× 60 576
Tzu‐En Lin Taiwan 21 446 1.2× 588 2.2× 6 0.0× 46 0.4× 382 3.2× 53 1.5k
Qin Kang China 19 361 1.0× 564 2.1× 12 0.1× 9 0.1× 365 3.0× 102 1.3k

Countries citing papers authored by Jongwoon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jongwoon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jongwoon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jongwoon Kim. A scholar is included among the top collaborators of Jongwoon 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 Jongwoon Kim. Jongwoon 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, Jongwoon, Seung‐Jin Lee, Jung-In Lee, et al.. (2025). Development of a deep neural network model based on high throughput screening data for predicting synergistic estrogenic activity of binary mixtures for consumer products. Journal of Hazardous Materials. 489. 137650–137650. 1 indexed citations
2.
Kim, Jongwoon, Shan Jiang, Ian F. Kimbrough, et al.. (2024). Multifunctional Tetrode-like Drug delivery, Optical stimulation, and Electrophysiology (Tetro-DOpE) probes. Biosensors and Bioelectronics. 265. 116696–116696. 1 indexed citations
3.
Kim, Jongwoon, et al.. (2024). T-DOpE probes reveal sensitivity of hippocampal oscillations to cannabinoids in behaving mice. Nature Communications. 15(1). 1686–1686. 6 indexed citations
4.
5.
Zheng, Nan, Ying Jiang, Shan Jiang, et al.. (2023). Multifunctional Fiber‐Based Optoacoustic Emitter as a Bidirectional Brain Interface. Advanced Healthcare Materials. 12(25). e2300430–e2300430. 10 indexed citations
6.
Zhang, Yujing, Jongwoon Kim, You Li, et al.. (2023). Submillimeter Multifunctional Ferromagnetic Fiber Robots for Navigation, Sensing, and Modulation. Advanced Healthcare Materials. 12(28). 21 indexed citations
7.
Lin, Pinpin, et al.. (2022). Ensemble learning for predicting ex vivo human placental barrier permeability. BMC Bioinformatics. 22(S10). 629–629. 10 indexed citations
8.
Kim, Jongwoon, Yajun Zhao, Shuo Yang, et al.. (2022). Laser Machined Fiber-Based Microprobe: Application in Microscale Electroporation. Advanced Fiber Materials. 4(4). 859–872. 10 indexed citations
9.
Trinh, Tung X., et al.. (2022). Developing random forest based QSAR models for predicting the mixture toxicity of TiO2 based nano-mixtures to Daphnia magna. NanoImpact. 25. 100383–100383. 35 indexed citations
10.
Jiang, Shan, Junyeob Song, Yujing Zhang, et al.. (2021). Nano-optoelectrodes Integrated with Flexible Multifunctional Fiber Probes by High-Throughput Scalable Fabrication. ACS Applied Materials & Interfaces. 13(7). 9156–9165. 14 indexed citations
11.
Kim, Donghyun, Rodolphe Mauchauffé, Jongwoon Kim, & Se Youn Moon. (2021). Simultaneous, efficient and continuous oil–water separation via antagonistically functionalized membranes prepared by atmospheric-pressure cold plasma. Scientific Reports. 11(1). 3169–3169. 15 indexed citations
12.
Tong, Yuxin, Ziang Feng, Jongwoon Kim, et al.. (2020). 3D printed stretchable triboelectric nanogenerator fibers and devices. Nano Energy. 75. 104973–104973. 106 indexed citations
13.
Jung, Hyunwook, Namjun Cho, Jongwoon Kim, et al.. (2020). Thermochemical study for remediation of highly concentrated acid spill: Computational modeling and experimental validation. Chemosphere. 247. 126098–126098. 2 indexed citations
14.
Kim, Jongwoon & Xiaoting Jia. (2020). From Space to Battlefield: A New Breed of Multifunctional Fiber Sheets for Extreme Environments. Matter. 3(3). 602–604. 10 indexed citations
15.
Kim, Jongwoon, et al.. (2019). Near-complete blocking of multivalent anions in graphene oxide membranes with tunable interlayer spacing from 3.7 to 8.0 angstrom. Journal of Membrane Science. 592. 117394–117394. 29 indexed citations
16.
Kim, Jongwoon, et al.. (2019). Biofilm production of coagulase-negative staphylococci isolated from rescued wild animals in the Republic of Korea. Acta veterinaria Scandinavica. 61(1). 50–50. 7 indexed citations
17.
Choi, Jang-Sik, Tung X. Trinh, Tae Hyun Yoon, Jongwoon Kim, & Hyung‐Gi Byun. (2018). Quasi-QSAR for predicting the cell viability of human lung and skin cells exposed to different metal oxide nanomaterials. Chemosphere. 217. 243–249. 65 indexed citations
18.
Kim, Jongwoon, et al.. (2015). State of the art in the application of QSAR techniques for predicting mixture toxicity in environmental risk assessment. SAR and QSAR in environmental research. 26(1). 41–59. 15 indexed citations
19.
Smith, Kilian E. C., Yoonah Jeong, & Jongwoon Kim. (2015). Passive dosing versus solvent spiking for controlling and maintaining hydrophobic organic compound exposure in the Microtox® assay. Chemosphere. 139. 174–180. 20 indexed citations
20.
Choe, Eun Kyung, et al.. (2000). Anomalous origin of the left coronary artery from right coronary artery ostium.. Clean Technology. 17(12). 1313–299. 1 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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