Yoonho Nam

3.2k total citations
107 papers, 2.0k citations indexed

About

Yoonho Nam is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Neurology. According to data from OpenAlex, Yoonho Nam has authored 107 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Biomedical Engineering and 15 papers in Neurology. Recurrent topics in Yoonho Nam's work include Advanced MRI Techniques and Applications (41 papers), Advanced Neuroimaging Techniques and Applications (27 papers) and Radiomics and Machine Learning in Medical Imaging (18 papers). Yoonho Nam is often cited by papers focused on Advanced MRI Techniques and Applications (41 papers), Advanced Neuroimaging Techniques and Applications (27 papers) and Radiomics and Machine Learning in Medical Imaging (18 papers). Yoonho Nam collaborates with scholars based in South Korea, United States and Puerto Rico. Yoonho Nam's co-authors include Jongho Lee, Dong‐Hyun Kim, Eung Yeop Kim, Na‐Young Shin, Jinhee Jang, Hyeong‐Geol Shin, Jung‐Ho Lee, Kook Jin Ahn, Jaewon Song and Dosik Hwang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy & Environmental Science and PLoS ONE.

In The Last Decade

Yoonho Nam

100 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yoonho Nam South Korea	27	1.1k	334	244	233	203	107	2.0k
Josef Vymazal Czechia	25	775 0.7×	353 1.1×	71 0.3×	497 2.1×	278 1.4×	66	2.5k
Matthias E. Bellemann Germany	25	1.2k 1.0×	86 0.3×	62 0.3×	421 1.8×	109 0.5×	82	2.1k
Alexandre Vignaud France	28	1.9k 1.7×	162 0.5×	69 0.3×	259 1.1×	90 0.4×	110	2.6k
Weili Zheng United States	20	814 0.7×	279 0.8×	102 0.4×	118 0.5×	90 0.4×	46	1.7k
Stephen Dodd United States	24	1.3k 1.1×	83 0.2×	77 0.3×	376 1.6×	180 0.9×	57	2.2k
Hyun Seok Choi South Korea	24	600 0.5×	409 1.2×	174 0.7×	434 1.9×	76 0.4×	121	2.1k
Xin Lou China	28	820 0.7×	721 2.2×	36 0.1×	492 2.1×	106 0.5×	185	2.8k
Tsuyoshi Yoshida Japan	26	758 0.7×	390 1.2×	68 0.3×	124 0.5×	187 0.9×	112	2.1k
Cécile R. L. P. N. Jeukens Netherlands	24	835 0.7×	135 0.4×	88 0.4×	326 1.4×	62 0.3×	56	1.5k
Hajime Tamura Japan	19	315 0.3×	216 0.6×	61 0.3×	62 0.3×	55 0.3×	77	1.7k

Countries citing papers authored by Yoonho Nam

Since Specialization

Citations

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

Fields of papers citing papers by Yoonho Nam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoonho Nam

This figure shows the co-authorship network connecting the top 25 collaborators of Yoonho Nam. A scholar is included among the top collaborators of Yoonho Nam 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 Yoonho Nam. Yoonho Nam 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

Woo, Hyun‐Kyung, Yoonho Nam, Hyun Gyu Park, & Hakho Lee. (2025). Bridging laboratory innovation to translational research and commercialization of extracellular vesicle isolation and detection. Biosensors and Bioelectronics. 282. 117475–117475. 3 indexed citations

Bąk, Daniel, et al.. (2025). Association of Hypoxic-Ischemic Injury of the Brain With MRI-Derived Glymphatic Function Parameters in Neonates. Korean Journal of Radiology. 26(8). 782–782. 1 indexed citations

Shin, Hyeong‐Geol, Woojun Kim, Hyunsoo Lee, et al.. (2025). Association of iron deposition in MS lesion with remyelination capacity using susceptibility source separation MRI. NeuroImage Clinical. 45. 103748–103748. 1 indexed citations

Kang, Yeonah, et al.. (2024). Label-Preserving Data Augmentation for Robust Segmentation of Thin Structure in MRI. Investigative Magnetic Resonance Imaging. 28(3). 107–107.

Park, Min-Hyeon, et al.. (2024). Association Between IQ and Brain Susceptibility in Children With Autism Spectrum Disorder: Quantitative Susceptibility Mapping Study. Investigative Magnetic Resonance Imaging. 28(2). 68–68.

Kim, Jee Young, et al.. (2023). MRI-visible Perivascular Spaces in the Neonatal Brain. Radiology. 307(2). e221314–e221314. 15 indexed citations

Bae, Yun Jung, Jong‐Min Kim, Byung Se Choi, et al.. (2023). Altered Brain Glymphatic Flow at Diffusion-Tensor MRI in Rapid Eye Movement Sleep Behavior Disorder. Radiology. 307(5). e221848–e221848. 72 indexed citations

Jang, Jinhee, et al.. (2023). Quantitative Susceptibility Mapping of Oxygen Metabolism: A Feasibility Study Utilizing a Large-Scale Clinical Dataset. Investigative Magnetic Resonance Imaging. 27(4). 221–221.

Kim, Hyun Gi, Na‐Young Shin, Yoonho Nam, et al.. (2022). MRI-visible Dilated Perivascular Space in the Brain by Age: The Human Connectome Project. Radiology. 306(3). e213254–e213254. 27 indexed citations

10.

Kim, Woojun, et al.. (2022). χ-Separation Imaging for Diagnosis of Multiple Sclerosis versus Neuromyelitis Optica Spectrum Disorder. Radiology. 307(1). e220941–e220941. 27 indexed citations

11.

Seo, Jungil, et al.. (2022). Steel-Plate Composite Wall-to-Reinforced Concrete Wall Mechanical Connection-Part 1: Out-of-Plane Flexural Strength. Engineering Journal. 59(1). 31–52.

12.

Nam, Yoonho, Taehoon Shin, Jin Wook Choi, et al.. (2021). Brain MRI radiomics analysis may predict poor psychomotor outcome in preterm neonates. European Radiology. 31(8). 6147–6155. 14 indexed citations

13.

Jung, Joon‐Yong, Yoonho Nam, So Yeon Lee, et al.. (2021). Development and Validation of a Radiomics Model for Differentiating Bone Islands and Osteoblastic Bone Metastases at Abdominal CT. Radiology. 299(3). 626–632. 62 indexed citations

14.

Choi, Yangsean, Yoonho Nam, Jinhee Jang, et al.. (2020). Radiomics may increase the prognostic value for survival in glioblastoma patients when combined with conventional clinical and genetic prognostic models. European Radiology. 31(4). 2084–2093. 35 indexed citations

15.

Bae, Yun Jung, Yoo Sung Song, Byung Se Choi, et al.. (2020). Comparison of susceptibility-weighted imaging and susceptibility map-weighted imaging for the diagnosis of Parkinsonism with nigral hyperintensity. European Journal of Radiology. 134. 109398–109398. 9 indexed citations

16.

Sung, Young Hee, Jongho Lee, Yoonho Nam, et al.. (2018). Initial diagnostic workup of parkinsonism: Dopamine transporter positron emission tomography versus susceptibility map-weighted imaging at 3T. Parkinsonism & Related Disorders. 62. 171–178. 15 indexed citations

17.

Park, So Hee, et al.. (2017). Quantification of Gadolinium Concentration Using GRE and UTE Sequences. Investigative Magnetic Resonance Imaging. 21(3). 171–171. 4 indexed citations

18.

Jung, Woojin, Jingu Lee, Hyeong‐Geol Shin, et al.. (2017). Whole brain g-ratio mapping using myelin water imaging (MWI) and neurite orientation dispersion and density imaging (NODDI). NeuroImage. 182. 379–388. 34 indexed citations

19.

Nam, Yoonho, Dong‐Hyun Kim, & Jongho Lee. (2015). Physiological noise compensation in gradient-echo myelin water imaging. NeuroImage. 120. 345–349. 41 indexed citations

20.

Nam, Yoonho, et al.. (2012). Computer-Aided Detection of Metastatic Brain Tumors Using Magnetic Resonance Black-Blood Imaging. Investigative Radiology. 48(2). 113–119. 35 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.

Explore authors with similar magnitude of impact