Su Min Son

1.4k total citations
65 papers, 1.1k citations indexed

About

Su Min Son is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Su Min Son has authored 65 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Psychiatry and Mental health and 17 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Su Min Son's work include Advanced Neuroimaging Techniques and Applications (47 papers), Cerebral Palsy and Movement Disorders (25 papers) and Fetal and Pediatric Neurological Disorders (13 papers). Su Min Son is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (47 papers), Cerebral Palsy and Movement Disorders (25 papers) and Fetal and Pediatric Neurological Disorders (13 papers). Su Min Son collaborates with scholars based in South Korea, United States and Switzerland. Su Min Son's co-authors include Sung Ho Jang, Sang Ho Ahn, Ji Heon Hong, Woo Mok Byun, Jun Lee, Sang Seok Yeo, Seong Ho Kim, Yun Woo Cho, Min Cheol Chang and Joon Sakong and has published in prestigious journals such as NeuroImage, Annals of Neurology and Frontiers in Microbiology.

In The Last Decade

Su Min Son

64 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su Min Son South Korea 20 697 395 277 212 194 65 1.1k
Ji Heon Hong South Korea 18 577 0.8× 204 0.5× 260 0.9× 147 0.7× 151 0.8× 45 850
Woo Mok Byun South Korea 25 779 1.1× 283 0.7× 430 1.6× 158 0.7× 262 1.4× 62 1.6k
Jeong Pyo Seo South Korea 17 512 0.7× 212 0.5× 245 0.9× 65 0.3× 205 1.1× 72 802
Simona Fiori Italy 22 271 0.4× 615 1.6× 182 0.7× 632 3.0× 88 0.5× 68 1.2k
Hendrik Juenger Germany 15 158 0.2× 316 0.8× 212 0.8× 150 0.7× 104 0.5× 21 789
Fabrice Vuillier France 19 121 0.2× 167 0.4× 432 1.6× 78 0.4× 363 1.9× 58 1.2k
Helen L. Carlson Canada 12 138 0.2× 193 0.5× 135 0.5× 190 0.9× 120 0.6× 26 444
Elaine Stashinko United States 13 302 0.4× 438 1.1× 176 0.6× 558 2.6× 53 0.3× 28 1.1k
Fazıl Gelal Türkiye 17 110 0.2× 124 0.3× 242 0.9× 57 0.3× 76 0.4× 56 755
Kyong Jin Shin South Korea 18 180 0.3× 237 0.6× 222 0.8× 126 0.6× 125 0.6× 67 933

Countries citing papers authored by Su Min Son

Since Specialization
Citations

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

Fields of papers citing papers by Su Min Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Min Son. 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 Su Min Son. The network helps show where Su Min Son may publish in the future.

Co-authorship network of co-authors of Su Min Son

This figure shows the co-authorship network connecting the top 25 collaborators of Su Min Son. A scholar is included among the top collaborators of Su Min Son 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 Su Min Son. Su Min Son 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.
2.
Son, Su Min, et al.. (2023). Development of sensitizer peptide-fused endolysin Lys1S-L9P acting against multidrug-resistant gram-negative bacteria. Frontiers in Microbiology. 14. 1296796–1296796. 11 indexed citations
3.
Kim, Jong Bum, Jae Min Lee, & Su Min Son. (2023). Childhood Acute Lymphoblastic Leukemia Showing Unilateral Motor Dysfunction Prior to Chemotherapy: A Diffusion Tensor Tractography Study. Children. 10(2). 224–224. 1 indexed citations
4.
Yeo, Sang Seok, Sung Ho Jang, & Su Min Son. (2014). The different maturation of the corticospinal tract and corticoreticular pathway in normal brain development: diffusion tensor imaging study. Frontiers in Human Neuroscience. 8. 573–573. 45 indexed citations
5.
Chang, Min Cheol, et al.. (2013). Degenerative changes of the corticospinal tract in pediatric patients showing deteriorated motor function: A diffusion tensor tractography study. Developmental Neurorehabilitation. 18(5). 290–295. 2 indexed citations
6.
Jang, Sung Ho, Su Min Son, Dong-Yeop Lee, & Ji Heon Hong. (2013). Relationship between somatosensory function and the spinothalamocortical pathway in chronic stroke patients. Somatosensory & Motor Research. 30(4). 197–200. 7 indexed citations
7.
Kim, Oh Lyong, Seong Ho Kim, Min‐Soo Kim, et al.. (2013). Relation between cingulum injury and cognition in chronic patients with traumatic brain injury; diffusion tensor tractography study. Neurorehabilitation. 33(3). 465–471. 17 indexed citations
8.
Chang, Min Cheol, et al.. (2012). Diffusion tensor imaging demonstrated radiologic differences between diplegic and quadriplegic cerebral palsy. Neuroscience Letters. 512(1). 53–58. 27 indexed citations
9.
10.
Jang, Sung Ho, et al.. (2012). Radiologic differences in white matter maturation between preterm and full-term infants: TBSS study. Pediatric Radiology. 43(5). 612–619. 12 indexed citations
11.
Choi, Byung Yeon, Chul Hoon Chang, Seong Ho Kim, et al.. (2012). The clinical characteristics of motor function in chronic hemiparetic stroke patients with complete corticospinal tract injury. Neurorehabilitation. 31(2). 207–213. 46 indexed citations
12.
Kwon, Yong Hyun, et al.. (2011). Predictability of motor outcome according to the time of diffusion tensor imaging in patients with cerebral infarct. Neuroradiology. 54(7). 691–697. 23 indexed citations
13.
Park, Jong Won, et al.. (2011). Diffusion tensor imaging findings in neurologically asymptomatic patients with end stage renal disease. Neurorehabilitation. 29(1). 111–116. 40 indexed citations
14.
Hong, Ji Heon, Su Min Son, & Sung Ho Jang. (2010). Somatotopic location of corticospinal tract at pons in human brain: A diffusion tensor tractography study. NeuroImage. 51(3). 952–955. 56 indexed citations
15.
Hong, Ji Heon, Su Min Son, Woo Mok Byun, et al.. (2009). Aberrant pyramidal tract in medial lemniscus of brainstem in the human brain. Neuroreport. 20(7). 695–697. 9 indexed citations
16.
Jang, Sung Ho, et al.. (2009). Transcallosal fibers from corticospinal tract in patients with cerebral infarct. Neurorehabilitation. 24(2). 159–164. 27 indexed citations
17.
Jang, Sung Ho, Dai-Seg Bai, Su Min Son, et al.. (2008). Motor outcome prediction using diffusion tensor tractography in pontine infarct. Annals of Neurology. 64(4). 460–465. 62 indexed citations
18.
Park, Ji‐Won, Seong Ho Kim, Yong‐Woon Kim, et al.. (2008). Motor Control Via Spared Peri-infarct Corticospinal Tract in Patients With Pontine Infarct. Journal of Computer Assisted Tomography. 32(1). 159–162. 3 indexed citations
19.
Son, Su Min, Sung-Hee Park, Eunsil Lee, et al.. (2008). Diffusion tensor tractography can predict hemiparesis in infants with high risk factors. Neuroscience Letters. 451(1). 94–97. 34 indexed citations
20.
Son, Su Min, Young Hwan Ahn, Joon Sakong, et al.. (2007). Diffusion tensor imaging demonstrates focal lesions of the corticospinal tract in hemiparetic patients with cerebral palsy. Neuroscience Letters. 420(1). 34–38. 53 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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