Younghee Yim

571 total citations · 1 hit paper
30 papers, 361 citations indexed

About

Younghee Yim is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Younghee Yim has authored 30 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Younghee Yim's work include Thyroid Cancer Diagnosis and Treatment (6 papers), Advanced MRI Techniques and Applications (5 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Younghee Yim is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (6 papers), Advanced MRI Techniques and Applications (5 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Younghee Yim collaborates with scholars based in South Korea, Germany and United States. Younghee Yim's co-authors include Won‐Jin Moon, Yeonsil Moon, Subin Lee, Han Jo Kim, Jung Hwan Baek, Sunmi Kang, Jongsik Chun, Moon‐Young Kim, Hong‐Duk Youn and Y. C. Hah and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Younghee Yim

27 papers receiving 352 citations

Hit Papers

Choroid Plexus Volume and Permeability at Brain MRI withi... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Younghee Yim South Korea 9 99 93 80 66 65 30 361
Pouya Ziai Iran 13 74 0.7× 184 2.0× 65 0.8× 15 0.2× 18 0.3× 16 483
Laura Plebani Italy 10 34 0.3× 81 0.9× 96 1.2× 82 1.2× 65 1.0× 16 567
Daniel Carter Beard United States 6 60 0.6× 62 0.7× 30 0.4× 98 1.5× 103 1.6× 8 371
Thomas Hoell Germany 8 31 0.3× 31 0.3× 66 0.8× 120 1.8× 60 0.9× 18 357
Levente Kerényi Hungary 9 83 0.8× 113 1.2× 19 0.2× 17 0.3× 188 2.9× 16 445
Anthony G. Alessi United States 8 38 0.4× 135 1.5× 33 0.4× 9 0.1× 247 3.8× 14 584
Noriko Togashi Japan 12 16 0.2× 43 0.5× 23 0.3× 58 0.9× 31 0.5× 42 436
Ali Reza Fathi Switzerland 10 23 0.2× 29 0.3× 52 0.7× 27 0.4× 111 1.7× 15 363
G. Galimberti Italy 7 14 0.1× 38 0.4× 52 0.7× 86 1.3× 152 2.3× 14 331

Countries citing papers authored by Younghee Yim

Since Specialization
Citations

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

Fields of papers citing papers by Younghee Yim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Younghee Yim

This figure shows the co-authorship network connecting the top 25 collaborators of Younghee Yim. A scholar is included among the top collaborators of Younghee Yim 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 Younghee Yim. Younghee Yim 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.
Yim, Younghee & Won‐Jin Moon. (2025). Diagnosis and Treatment of Alzheimer’s Disease: Current Update. PubMed. 86(1). 6–6. 1 indexed citations
3.
Yim, Younghee, et al.. (2024). Deep learning reconstruction of diffusion-weighted brain MRI for evaluation of patients with acute neurologic symptoms. Scientific Reports. 14(1). 24761–24761. 1 indexed citations
4.
Park, S., et al.. (2024). Clinical significance of MRI-measured olfactory bulb height as an imaging biomarker of idiopathic Parkinson’s disease. PLoS ONE. 19(10). e0312728–e0312728. 1 indexed citations
6.
Yim, Younghee, et al.. (2023). Clinical feasibility of CS-VIBE accelerates MRI techniques in diagnosing intracranial metastasis. Scientific Reports. 13(1). 10012–10012.
7.
Lee, Ji Ye, Chang Yoon Lee, Inpyeong Hwang, et al.. (2022). Malignancy risk stratification of thyroid nodules according to echotexture and degree of hypoechogenicity: a retrospective multicenter validation study. Scientific Reports. 12(1). 16587–16587. 4 indexed citations
8.
Moon, Yeonsil, et al.. (2022). Choroid Plexus Volume and Permeability at Brain MRI within the Alzheimer Disease Clinical Spectrum. Radiology. 304(3). 635–645. 139 indexed citations breakdown →
9.
Lee, Eunjung, et al.. (2022). Diagnosis of intracranial lesions using accelerated 3D T1 MPRAGE with wave-CAIPI technique: comparison with conventional 3D T1 MPRAGE. Scientific Reports. 12(1). 21930–21930. 3 indexed citations
10.
Kim, Sujin, et al.. (2022). Comparison between 2D TSE and 3D SPACE in the evaluation of craniocervical ligaments. European Spine Journal. 32(1). 361–367. 4 indexed citations
11.
Lee, Boeun, Jeong Hyun Lee, Young‐Min Lim, et al.. (2021). High-resolution MR imaging of cranial neuropathy in patients with anti-GQ1b antibody syndrome. Journal of the Neurological Sciences. 423. 117380–117380. 3 indexed citations
12.
Yim, Younghee, Mi Sun Chung, Su Yeong Kim, et al.. (2021). Wave-controlled aliasing in parallel imaging magnetization-prepared gradient echo (wave-CAIPI MPRAGE) accelerates speed for pediatric brain MRI with comparable diagnostic performance. Scientific Reports. 11(1). 13296–13296. 4 indexed citations
13.
Chung, Mi Sun, Younghee Yim, In Seong Kim, et al.. (2021). CS-VIBE accelerates cranial nerve MR imaging for the diagnosis of facial neuritis: comparison of the diagnostic performance of post-contrast MPRAGE and CS-VIBE. European Radiology. 32(1). 223–233. 4 indexed citations
15.
Yim, Younghee, Jung Hwan Baek, Sae Rom Chung, Young Jun Choi, & Jeong Hyun Lee. (2020). Recurrence and additional treatment of cystic thyroid nodules after ethanol ablation: validation of three proposed criteria. ULTRASONOGRAPHY. 40(3). 378–386. 2 indexed citations
16.
Yim, Younghee, Sang Joon Kim, Seung Chai Jung, et al.. (2020). Pretreatment brain volumes can affect the effectiveness of deep brain stimulation in Parkinson's disease patients. Scientific Reports. 10(1). 22065–22065. 11 indexed citations
17.
Yim, Younghee & Jung Hwan Baek. (2019). Core needle biopsy in the management of thyroid nodules with an indeterminate fine-needle aspiration report. Gland Surgery. 8(S2). S77–S85. 11 indexed citations
18.
Park, Hye Sun, Younghee Yim, Jung Hwan Baek, et al.. (2018). Ethanol ablation as a treatment strategy for benign cystic thyroid nodules: a comparison of the ethanol retention and aspiration techniques. ULTRASONOGRAPHY. 38(2). 166–171. 29 indexed citations
19.
Jung, Sung Il, Hee Sun Park, Hae Jeong Jeon, et al.. (2016). CT predictors for selecting conservative surgery or adnexectomy to treat adnexal torsion. Clinical Imaging. 40(4). 816–820. 5 indexed citations
20.
Chun, Jongsik, Hong‐Duk Youn, Younghee Yim, et al.. (1997). Streptomyces seoulensis sp. nov.. International Journal of Systematic Bacteriology. 47(2). 492–498. 56 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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