Seong‐Gi Kim

12.8k total citations · 2 hit papers
167 papers, 9.4k citations indexed

About

Seong‐Gi Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Seong‐Gi Kim has authored 167 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Radiology, Nuclear Medicine and Imaging, 71 papers in Cognitive Neuroscience and 23 papers in Cellular and Molecular Neuroscience. Recurrent topics in Seong‐Gi Kim's work include Advanced MRI Techniques and Applications (111 papers), Advanced Neuroimaging Techniques and Applications (54 papers) and Functional Brain Connectivity Studies (48 papers). Seong‐Gi Kim is often cited by papers focused on Advanced MRI Techniques and Applications (111 papers), Advanced Neuroimaging Techniques and Applications (54 papers) and Functional Brain Connectivity Studies (48 papers). Seong‐Gi Kim collaborates with scholars based in United States, South Korea and Canada. Seong‐Gi Kim's co-authors include Tao Jin, Kâmil Uǧurbil, Seiji Ogawa, Mitsuhiro Fukuda, Phil Lee, Ping Wang, Xiaoping Hu, Xiaopeng Zong, Tae Il Kim and Timothy Q. Duong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Seong‐Gi Kim

162 papers receiving 9.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Quantification of relative cerebral blood flow change by flow‐sensitive alternating inversion recovery (FAIR) technique: Application to functional mapping

1995 805 citations Seong‐Gi Kim Magnetic Resonance in Medicine profile →
Magnetic field and tissue dependencies of human brain longitudinal ¹H₂O relaxation in vivo

2007 521 citations Seong‐Gi Kim, Kâmil Uǧurbil et al. Magnetic Resonance in Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Seong‐Gi Kim United States	51	6.3k	4.1k	1.3k	977	858	167	9.4k
Peter van Gelderen United States	60	6.8k 1.1×	4.6k 1.1×	634 0.5×	758 0.8×	1.1k 1.3×	150	12.1k
Peter R. Luijten Netherlands	57	7.0k 1.1×	1.7k 0.4×	666 0.5×	1.1k 1.2×	783 0.9×	283	11.4k
Richard B. Buxton United States	47	4.5k 0.7×	3.4k 0.8×	457 0.4×	661 0.7×	950 1.1×	113	9.0k
Afonso C. Silva United States	56	4.9k 0.8×	3.4k 0.8×	407 0.3×	1.5k 1.5×	381 0.4×	147	8.5k
Pierre‐François Van de Moortele United States	57	7.1k 1.1×	6.2k 1.5×	429 0.3×	789 0.8×	1.8k 2.1×	161	13.3k
David G. Norris Germany	55	6.9k 1.1×	5.3k 1.3×	301 0.2×	640 0.7×	834 1.0×	238	12.1k
Hellmut Merkle United States	62	10.4k 1.7×	6.0k 1.5×	870 0.7×	1.3k 1.4×	1.8k 2.1×	158	15.5k
Oliver Speck Germany	51	4.8k 0.8×	3.1k 0.8×	231 0.2×	951 1.0×	819 1.0×	241	8.9k
Gregor Adriany United States	46	7.1k 1.1×	2.2k 0.5×	613 0.5×	534 0.5×	1.9k 2.3×	138	8.7k
Timothy P. L. Roberts United States	71	5.4k 0.9×	6.6k 1.6×	708 0.6×	1.1k 1.2×	520 0.6×	373	15.1k

Countries citing papers authored by Seong‐Gi Kim

Since Specialization

Citations

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

Fields of papers citing papers by Seong‐Gi Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seong‐Gi Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Seong‐Gi Kim. A scholar is included among the top collaborators of Seong‐Gi 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 Seong‐Gi Kim. Seong‐Gi Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Oh, Young Lyun, et al.. (2025). Whole-brain effective connectivity of the sensorimotor system using 7 T fMRI with electrical microstimulation in non-human primates. Progress in Neurobiology. 250. 102760–102760.

Lee, Na Kyeong, S. S. Ryu, Ho‐Keun Kwon, et al.. (2025). Glioma-associated microglia potentiate neuronal hyper-excitability in the glioma environment. Neuro-Oncology. 27(12). 3058–3071. 1 indexed citations

Jung, Won Beom, et al.. (2025). Somatostatin-expressing interneurons induce early NO-driven and late specific astrocyte-mediated vasodilation. Nature Communications. 16(1). 6606–6606. 1 indexed citations

Jung, Won Beom, Geun Ho Im, Wangyong Shin, et al.. (2024). Anterior cingulate cortex-related functional hyperconnectivity underlies sensory hypersensitivity in Grin2b-mutant mice. Molecular Psychiatry. 29(10). 3195–3207. 10 indexed citations

Kim, Chang‐Ho, et al.. (2023). Whole-brain mapping of effective connectivity by fMRI with cortex-wide patterned optogenetics. Neuron. 111(11). 1732–1747.e6. 19 indexed citations

Kang, Bok‐Man, et al.. (2023). Seizure-induced neutrophil adhesion in brain capillaries leads to a decrease in postictal cerebral blood flow. iScience. 26(5). 106655–106655. 5 indexed citations

Jung, Won Beom, Haiyan Jiang, Soo‐Hyun Lee, & Seong‐Gi Kim. (2022). Dissection of brain-wide resting-state and functional somatosensory circuits by fMRI with optogenetic silencing. Proceedings of the National Academy of Sciences. 119(4). 27 indexed citations

Lee, Chanhee, Geun Ho Im, Seongyeon Kim, et al.. (2022). General‐Purpose Ultrasound Neuromodulation System for Chronic, Closed‐Loop Preclinical Studies in Freely Behaving Rodents. Advanced Science. 9(34). e2202345–e2202345. 25 indexed citations

Kim, Seong‐Gi, et al.. (2022). Deep brain stimulation of the anterior nuclei of the thalamus can alleviate seizure severity and induce hippocampal GABAergic neuronal changes in a pilocarpine-induced epileptic mouse brain. Cerebral Cortex. 32(24). 5530–5543. 7 indexed citations

10.

Lee, Myunghee, et al.. (2020). Excitation-Inhibition Imbalance Leads to Alteration of Neuronal Coherence and Neurovascular Coupling under Acute Stress. Journal of Neuroscience. 40(47). 9148–9162. 26 indexed citations

11.

Fukuda, Mitsuhiro, Alexander John Poplawsky, & Seong‐Gi Kim. (2020). Time-dependent spatial specificity of high-resolution fMRI: insights into mesoscopic neurovascular coupling. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1815). 20190623–20190623. 15 indexed citations

12.

Jung, Won Beom, et al.. (2020). An equal‐TE ultrafast 3D gradient‐echo imaging method with high tolerance to magnetic susceptibility artifacts: Application to BOLD functional MRI. Magnetic Resonance in Medicine. 85(4). 1986–2000. 2 indexed citations

13.

Kang, Bok‐Man, et al.. (2020). Differential contribution of excitatory and inhibitory neurons in shaping neurovascular coupling in different epileptic neural states. Journal of Cerebral Blood Flow & Metabolism. 41(5). 1145–1161. 17 indexed citations

14.

Jung, Won Beom, et al.. (2020). Characteristics of fMRI responses to visual stimulation in anesthetized vs. awake mice. NeuroImage. 226. 117542–117542. 52 indexed citations

15.

Park, Hyunjin, et al.. (2019). Impact of sampling rate on statistical significance for single subject fMRI connectivity analysis. Human Brain Mapping. 40(11). 3321–3337. 14 indexed citations

16.

Jung, Won Beom, Felix Schlegel, Joonsung Lee, et al.. (2018). Mouse fMRI under ketamine and xylazine anesthesia: Robust contralateral somatosensory cortex activation in response to forepaw stimulation. NeuroImage. 177. 30–44. 60 indexed citations

17.

Vazquez, Alberto L., et al.. (2016). Functional Connectivity of Resting Hemodynamic Signals in Submillimeter Orientation Columns of the Visual Cortex. Brain Connectivity. 6(8). 596–606. 7 indexed citations

18.

Ho, Leon C., Ian P. Conner, Chi Wai, et al.. (2014). Visualization of Aqueous Humor Dynamics upon Chronic Ocular Hypertension and Hypotensive Drug Treatment using Gadolinium-enhanced MRI. Investigative Ophthalmology & Visual Science. 55(13). 2902–2902. 1 indexed citations

19.

Jin, Tao, Ping Wang, Xiaopeng Zong, & Seong‐Gi Kim. (2012). MR imaging of the amide‐proton transfer effect and the pH‐insensitive nuclear overhauser effect at 9.4 T. Magnetic Resonance in Medicine. 69(3). 760–770. 232 indexed citations

20.

Duong, Timothy Q., Dae‐Shik Kim, Kâmil Uǧurbil, & Seong‐Gi Kim. (2000). Spatiotemporal dynamics of the BOLD fMRI signals: Toward mapping submillimeter cortical columns using the early negative response. Magnetic Resonance in Medicine. 44(2). 231–242. 7 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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