Young Ro Kim

816 total citations
32 papers, 633 citations indexed

About

Young Ro Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Young Ro Kim has authored 32 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Cognitive Neuroscience. Recurrent topics in Young Ro Kim's work include Advanced MRI Techniques and Applications (13 papers), MRI in cancer diagnosis (7 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Young Ro Kim is often cited by papers focused on Advanced MRI Techniques and Applications (13 papers), MRI in cancer diagnosis (7 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Young Ro Kim collaborates with scholars based in United States, South Korea and Singapore. Young Ro Kim's co-authors include Bruce R. Rosen, Bharat B. Biswal, Sridhar S. Kannurpatti, Guangping Dai, Shuning Huang, Eng H. Lo, Euiheon Chung, Ralph Weissleder, Katharina Eikermann‐Haerter and Hee‐Jae Jeon and has published in prestigious journals such as Journal of Neuroscience, Nano Letters and NeuroImage.

In The Last Decade

Young Ro Kim

31 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young Ro Kim United States 13 237 159 100 91 88 32 633
Fernando Fernandes Paiva Brazil 16 214 0.9× 151 0.9× 76 0.8× 37 0.4× 48 0.5× 35 713
Andrew A. Chen United States 15 197 0.8× 143 0.9× 124 1.2× 47 0.5× 74 0.8× 33 684
Chengde Liao China 13 271 1.1× 285 1.8× 163 1.6× 71 0.8× 143 1.6× 50 877
Denise A. Duricki United Kingdom 7 478 2.0× 122 0.8× 70 0.7× 34 0.4× 90 1.0× 9 875
Qiang Yue China 17 257 1.1× 105 0.7× 180 1.8× 63 0.7× 32 0.4× 71 860
Chi‐Woong Mun South Korea 17 254 1.1× 108 0.7× 84 0.8× 117 1.3× 81 0.9× 55 745
Ali Al‐Radaideh Jordan 15 401 1.7× 134 0.8× 136 1.4× 38 0.4× 99 1.1× 31 873
Alfonso Mastropietro Italy 18 455 1.9× 175 1.1× 75 0.8× 157 1.7× 179 2.0× 53 1.1k
Salem Hannoun Lebanon 15 289 1.2× 207 1.3× 93 0.9× 129 1.4× 23 0.3× 54 749
Chengjun Yao China 19 379 1.6× 156 1.0× 70 0.7× 29 0.3× 104 1.2× 45 942

Countries citing papers authored by Young Ro Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young Ro Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young Ro Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Young Ro Kim. A scholar is included among the top collaborators of Young Ro 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 Young Ro Kim. Young Ro 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.
Chung, Geehoon, et al.. (2025). MoSeq based 3D behavioral profiling uncovers neuropathic behavior changes in diabetic mouse model. Scientific Reports. 15(1). 15114–15114. 1 indexed citations
2.
Nguyen, Tuan-Anh, Sang Seong Kim, Young Ro Kim, et al.. (2025). Ultrafast optical imaging techniques for exploring rapid neuronal dynamics. Neurophotonics. 12(S1). S14608–S14608.
3.
Kim, Sang Seong, et al.. (2025). Vascular and glymphatic dysfunction as drivers of cognitive impairment in Alzheimer's disease: Insights from computational approaches. Neurobiology of Disease. 208. 106877–106877. 3 indexed citations
4.
Park, Jiyoung, et al.. (2024). Neuron type-specific optogenetic stimulation for differential stroke recovery in chronic capsular infarct. Experimental & Molecular Medicine. 56(6). 1439–1449. 1 indexed citations
5.
Kim, Suhyeon, et al.. (2024). Infrared thermal modulation endoscopy for label-free tumor detection. Scientific Reports. 14(1). 31575–31575. 1 indexed citations
6.
Kim, Sang Seong, et al.. (2024). Evaluating the Preclinical Efficacy of Photobiomodulation in Alleviating Neuropathic Corneal Pain: A Behavioral Study. Ophthalmology Science. 5(3). 100680–100680. 1 indexed citations
7.
Kwon, Hyuk‐Sang, et al.. (2023). Photobiomodulation Therapy Restores Olfactory Function Impaired by Photothrombosis in Mouse Olfactory Bulb. Experimental Neurology. 367. 114462–114462. 6 indexed citations
8.
9.
Kim, Young Ro, et al.. (2021). Enhancement of Speckle Contrast in vivo by Combining Linearly Polarized Laser Light and an Analyzer. Current Optics and Photonics. 5(4). 351–361. 1 indexed citations
10.
Kim, Young Ro, et al.. (2021). Quantitative susceptibility mapping and R1 measurement: Determination of the myelin volume fraction in the aging ex vivo rat corpus callosum. NMR in Biomedicine. 35(3). e4645–e4645. 1 indexed citations
11.
Kim, Mi Hyun, Youngkyu Song, Yong‐Seok Lee, et al.. (2013). Sunitinib–CLIO Conjugate: A VEGFR/PDGFR-Targeting Active MR Probe. Molecular Imaging and Biology. 16(3). 340–349. 6 indexed citations
12.
Cho, Gyunggoo, Youngkyu Song, Jong Soon Kang, et al.. (2012). Is apparent diffusion coefficient reliable and accurate for monitoring effects of antiangiogenic treatment in a longitudinal study?. Journal of Magnetic Resonance Imaging. 35(6). 1430–1436. 6 indexed citations
13.
Eikermann‐Haerter, Katharina, Izumi Yuzawa, Tao Qin, et al.. (2011). Enhanced Subcortical Spreading Depression in Familial Hemiplegic Migraine Type 1 Mutant Mice. Journal of Neuroscience. 31(15). 5755–5763. 113 indexed citations
14.
Uppal, Ritika, İlknur Ay, Guangping Dai, et al.. (2010). Molecular MRI of Intracranial Thrombus in a Rat Ischemic Stroke Model. Stroke. 41(6). 1271–1277. 37 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.
Huang, Shuning, Christina Liu, Guangping Dai, Young Ro Kim, & Bruce R. Rosen. (2009). Manipulation of tissue contrast using contrast agents for enhanced MR microscopy in ex vivo mouse brain. NeuroImage. 46(3). 589–599. 29 indexed citations
17.
Lu, Jie, et al.. (2008). Characterization of cerebrovascular responses to hyperoxia and hypercapnia using MRI in rat. NeuroImage. 45(4). 1126–1134. 61 indexed citations
18.
Kannurpatti, Sridhar S., Bharat B. Biswal, Young Ro Kim, & Bruce R. Rosen. (2007). Spatio-temporal characteristics of low-frequency BOLD signal fluctuations in isoflurane-anesthetized rat brain. NeuroImage. 40(4). 1738–1747. 100 indexed citations
19.
Kim, Dong‐Eog, Kiyoshi Tsuji, Young Ro Kim, et al.. (2006). Neural Stem Cell Transplant Survival in Brains of Mice: Assessing the Effect of Immunity and Ischemia by using Real-time Bioluminescent Imaging. Radiology. 241(3). 822–830. 42 indexed citations
20.
Kim, Young Ro, Anna Yudina, Wilfried Reichardt, et al.. (2005). Detection of Early Antiangiogenic Effects in Human Colon Adenocarcinoma Xenografts:In vivoChanges of Tumor Blood Volume in Response to Experimental VEGFR Tyrosine Kinase Inhibitor. Cancer Research. 65(20). 9253–9260. 26 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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