Jee‐Hyun Cho

654 total citations
33 papers, 516 citations indexed

About

Jee‐Hyun Cho is a scholar working on Radiology, Nuclear Medicine and Imaging, Materials Chemistry and Nuclear and High Energy Physics. According to data from OpenAlex, Jee‐Hyun Cho has authored 33 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Materials Chemistry and 6 papers in Nuclear and High Energy Physics. Recurrent topics in Jee‐Hyun Cho's work include Advanced MRI Techniques and Applications (9 papers), Lanthanide and Transition Metal Complexes (7 papers) and NMR spectroscopy and applications (6 papers). Jee‐Hyun Cho is often cited by papers focused on Advanced MRI Techniques and Applications (9 papers), Lanthanide and Transition Metal Complexes (7 papers) and NMR spectroscopy and applications (6 papers). Jee‐Hyun Cho collaborates with scholars based in South Korea, United States and United Kingdom. Jee‐Hyun Cho's co-authors include Kwan Soo Hong, Chulhyun Lee, Yong Taik Lim, Young‐Shick Hong, Chaejoon Cheong, Joung Kyu Park, Jongjin Jung, Young‐Woock Noh, Bong Hyun Chung and Ki‐Bum Lee and has published in prestigious journals such as Journal of the American Chemical Society, Biomaterials and Langmuir.

In The Last Decade

Jee‐Hyun Cho

33 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jee‐Hyun Cho South Korea 12 170 166 109 103 84 33 516
Yue Zhu United States 14 338 2.0× 196 1.2× 189 1.7× 53 0.5× 45 0.5× 37 723
Mirco Sorci United States 19 126 0.7× 198 1.2× 460 4.2× 81 0.8× 37 0.4× 40 854
M. Dias United Kingdom 10 70 0.4× 71 0.4× 61 0.6× 61 0.6× 87 1.0× 11 476
Thomas Wai-Yip Lee Hong Kong 15 156 0.9× 74 0.4× 145 1.3× 113 1.1× 71 0.8× 21 608
Agnieszka Wiśniewska Poland 14 118 0.7× 98 0.6× 142 1.3× 37 0.4× 10 0.1× 25 428
Beena Jain India 14 172 1.0× 202 1.2× 102 0.9× 66 0.6× 68 0.8× 29 567
Ali Makky France 19 315 1.9× 378 2.3× 434 4.0× 186 1.8× 36 0.4× 40 1.1k
Kai Xue China 17 202 1.2× 79 0.5× 227 2.1× 35 0.3× 53 0.6× 51 811
Michael Schuleit Switzerland 11 83 0.5× 92 0.6× 117 1.1× 91 0.9× 29 0.3× 14 470
Youngbok Lee South Korea 15 276 1.6× 92 0.6× 183 1.7× 61 0.6× 54 0.6× 60 809

Countries citing papers authored by Jee‐Hyun Cho

Since Specialization
Citations

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

Fields of papers citing papers by Jee‐Hyun Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jee‐Hyun Cho. 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 Jee‐Hyun Cho. The network helps show where Jee‐Hyun Cho may publish in the future.

Co-authorship network of co-authors of Jee‐Hyun Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Jee‐Hyun Cho. A scholar is included among the top collaborators of Jee‐Hyun Cho 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 Jee‐Hyun Cho. Jee‐Hyun Cho 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.
Sohn, Jin‐Hun, et al.. (2025). Sex differences in pain perception and modulation in the brain: effects of insular cortex stimulation on chronic pain relief. Brain Communications. 7(5). fcaf362–fcaf362. 1 indexed citations
2.
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Cho, Jee‐Hyun, Mi Young Cho, Inkyu Hwang, et al.. (2024). Activatable near-infrared fluorescence and chemical exchange saturation transfer MRI multimodal imaging probe for tumor detection in vitro and in vivo. Sensors and Actuators B Chemical. 413. 135839–135839. 1 indexed citations
5.
Jae, Min, Hyue Mee Kim, Sang‐Wook Kim, et al.. (2023). Correct Closure of the Left Atrial Appendage Reduces Stagnant Blood Flow and the Risk of Thrombus Formation: A Proof-of-Concept Experimental Study Using 4D Flow Magnetic Resonance Imaging. Korean Journal of Radiology. 24(7). 647–647. 7 indexed citations
6.
Song, Youngkyu, Jee‐Hyun Cho, Hyungjun Kim, et al.. (2023). Association Between Taurine Level in the Hippocampus and Major Depressive Disorder in Young Women: A Proton Magnetic Resonance Spectroscopy Study at 7T. Biological Psychiatry. 95(5). 465–472. 6 indexed citations
7.
Song, Youngkyu, et al.. (2023). Self-Isolated Dual-Mode High-Pass Birdcage RF Coil for Proton and Sodium MR Imaging at 7 T MRI. Applied Sciences. 13(24). 13227–13227. 1 indexed citations
8.
Cho, Sunhee, Ahreum Kim, Woojung Shin, et al.. (2017). Photothermal-modulated drug delivery and magnetic relaxation based on collagen/poly(γ-glutamic acid) hydrogel. International Journal of Nanomedicine. Volume 12. 2607–2620. 46 indexed citations
9.
Cha, Myeounghoon, Kyuhong Lee, Chulhyun Lee, et al.. (2015). Manganese-enhanced MR imaging of brain activation evoked by noxious peripheral electrical stimulation. Neuroscience Letters. 613. 13–18. 6 indexed citations
10.
Jung, Jongjin, Mi Ae Kim, Jee‐Hyun Cho, et al.. (2012). Europium-doped gadolinium sulfide nanoparticles as a dual-mode imaging agent for T1-weighted MR and photoluminescence imaging. Biomaterials. 33(24). 5865–5874. 44 indexed citations
11.
Choi, In, Yan Li, Mou Pal, et al.. (2012). Ultra‐small, Uniform, and Single bcc‐Phased FexCo1‐x/Graphitic Shell Nanocrystals for T1Magnetic Resonance Imaging Contrast Agents. Chemistry - An Asian Journal. 8(1). 290–295. 10 indexed citations
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Kim, Sung‐Min, Kwan Soo Hong, Gyunggoo Cho, et al.. (2011). The use of the fusion protein RGD-HSA-TIMP2 as a tumor targeting imaging probe for SPECT and PET. Biomaterials. 32(29). 7151–7158. 20 indexed citations
14.
Park, Joung Kyu, Jongjin Jung, Birju P. Shah, et al.. (2011). Graphite‐Coated Magnetic Nanoparticles as Multimodal Imaging Probes and Cooperative Therapeutic Agents for Tumor Cells. Small. 7(12). 1647–1652. 60 indexed citations
15.
Cho, Jee‐Hyun, Gyunggoo Cho, Youngkyu Song, et al.. (2010). Feasibility of FAIR imaging for evaluating tumor perfusion. Journal of Magnetic Resonance Imaging. 32(3). 738–744. 8 indexed citations
16.
Lim, Yong Taik, Mi Young Cho, Ji–Hyun Kang, et al.. (2010). Perfluorodecalin/[InGaP/ZnS quantum dots] nanoemulsions as 19F MR/optical imaging nanoprobes for the labeling of phagocytic and nonphagocytic immune cells. Biomaterials. 31(18). 4964–4971. 34 indexed citations
17.
Lim, Yong Taik, Young‐Woock Noh, Jee‐Hyun Cho, et al.. (2009). Multiplexed Imaging of Therapeutic Cells with Multispectrally Encoded Magnetofluorescent Nanocomposite Emulsions. Journal of the American Chemical Society. 131(47). 17145–17154. 55 indexed citations
18.
Hong, Young‐Shick, Kwan Soo Hong, Jee‐Hyun Cho, et al.. (2008). MR imaging and diffusion studies of soaked rice. Food Research International. 42(2). 237–245. 13 indexed citations
19.
Cho, Jee‐Hyun, Sangdoo Ahn, Kwan Soo Hong, et al.. (2007). Magnetic resonance microscopic imaging based on high-order intermolecular multiple-quantum coherences. Magnetic Resonance Imaging. 25(5). 626–633. 7 indexed citations
20.
Lee, Seung‐Cheol, Jee‐Hyun Cho, Daniel Mietchen, et al.. (2005). Subcellular In Vivo 1H MR Spectroscopy of Xenopus laevis Oocytes. Biophysical Journal. 90(5). 1797–1803. 29 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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