Ji Hyun Youk

6.1k total citations
153 papers, 4.6k citations indexed

About

Ji Hyun Youk is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Ji Hyun Youk has authored 153 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Radiology, Nuclear Medicine and Imaging, 62 papers in Pathology and Forensic Medicine and 39 papers in Surgery. Recurrent topics in Ji Hyun Youk's work include Breast Lesions and Carcinomas (61 papers), Thyroid Cancer Diagnosis and Treatment (37 papers) and Breast Cancer Treatment Studies (36 papers). Ji Hyun Youk is often cited by papers focused on Breast Lesions and Carcinomas (61 papers), Thyroid Cancer Diagnosis and Treatment (37 papers) and Breast Cancer Treatment Studies (36 papers). Ji Hyun Youk collaborates with scholars based in South Korea, Russia and United States. Ji Hyun Youk's co-authors include Eun Ju Son, Eun‐Kyung Kim, Jeong‐Ah Kim, Hye Mi Gweon, Min Jung Kim, Jin Young Kwak, Hee Jung Moon, Ki Keun Oh, Jung Hyun Yoon and Kyunghwa Han and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Ji Hyun Youk

145 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji Hyun Youk South Korea 38 2.3k 1.3k 1.2k 1.2k 1.1k 153 4.6k
A. Thomas Stavros United States 19 2.4k 1.0× 1.6k 1.3× 1.6k 1.3× 1.5k 1.3× 969 0.9× 30 5.3k
Boo‐Kyung Han South Korea 37 2.2k 0.9× 769 0.6× 884 0.7× 1.2k 1.1× 288 0.3× 185 4.4k
Eun Young Ko South Korea 34 1.5k 0.6× 850 0.7× 920 0.8× 794 0.7× 206 0.2× 144 3.3k
Jin Young Kwak South Korea 47 3.1k 1.3× 7.0k 5.4× 5.1k 4.2× 1.2k 1.0× 782 0.7× 356 9.8k
Jeong Seon Park South Korea 28 1.1k 0.5× 1.4k 1.0× 1.2k 1.0× 399 0.3× 354 0.3× 71 2.8k
Ki Keun Oh South Korea 26 695 0.3× 1.2k 0.9× 1.2k 1.0× 1.0k 0.9× 185 0.2× 106 2.9k
Bong Joo Kang South Korea 27 1.3k 0.5× 291 0.2× 324 0.3× 614 0.5× 246 0.2× 116 2.2k
Eriko Tohno Japan 21 1.6k 0.7× 115 0.1× 437 0.4× 598 0.5× 994 0.9× 85 3.0k
Eun Sook Ko South Korea 29 1.7k 0.7× 214 0.2× 258 0.2× 613 0.5× 167 0.2× 99 2.4k
Qingli Zhu China 22 726 0.3× 212 0.2× 373 0.3× 498 0.4× 365 0.3× 126 1.7k

Countries citing papers authored by Ji Hyun Youk

Since Specialization
Citations

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

Fields of papers citing papers by Ji Hyun Youk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji Hyun Youk. 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 Ji Hyun Youk. The network helps show where Ji Hyun Youk may publish in the future.

Co-authorship network of co-authors of Ji Hyun Youk

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Hyun Youk. A scholar is included among the top collaborators of Ji Hyun Youk 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 Ji Hyun Youk. Ji Hyun Youk 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
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Eun, Na Lae, Sung Gwe Ahn, Jee Hung Kim, et al.. (2024). Elasticity Values as a Predictive Modality for Response to Neoadjuvant Chemotherapy in Breast Cancer. Cancers. 16(2). 377–377. 2 indexed citations
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Lee, Si Eun, Kyunghwa Han, Ji Hyun Youk, et al.. (2022). Differing benefits of artificial intelligence-based computer-aided diagnosis for breast US according to workflow and experience level. ULTRASONOGRAPHY. 41(4). 718–727. 6 indexed citations
6.
Kim, Young Jae, Kyunghwa Han, Eunjung Lee, et al.. (2020). Application of machine learning to ultrasound images to differentiate follicular neoplasms of the thyroid gland. ULTRASONOGRAPHY. 39(3). 257–265. 26 indexed citations
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Youk, Ji Hyun, Hye Mi Gweon, Eun Ju Son, Na Lae Eun, & Jeong‐Ah Kim. (2020). Fully automated measurements of volumetric breast density adapted for BIRADS 5th edition: a comparison with visual assessment. Acta Radiologica. 62(9). 1148–1154. 2 indexed citations
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Youk, Ji Hyun, Hye Mi Gweon, Eun Ju Son, et al.. (2019). Scoring System to Stratify Malignancy Risks for Mammographic Microcalcifications Based on Breast Imaging Reporting and Data System 5th Edition Descriptors. Korean Journal of Radiology. 20(12). 1646–1646. 6 indexed citations
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Eun, Na Lae, Eun Ju Son, Hye Mi Gweon, Jeong‐Ah Kim, & Ji Hyun Youk. (2019). Prediction of axillary response by monitoring with ultrasound and MRI during and after neoadjuvant chemotherapy in breast cancer patients. European Radiology. 30(3). 1460–1469. 29 indexed citations
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Gweon, Hye Mi, Eun Ju Son, Jeong‐Ah Kim, & Ji Hyun Youk. (2017). Predictive Factors for Active Surveillance of Subcentimeter Thyroid Nodules with Highly Suspicious US Features. Annals of Surgical Oncology. 24(6). 1540–1545. 13 indexed citations
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Yoon, Jung Hyun, Min Jung Kim, Hye Sun Lee, et al.. (2016). Validation of the fifth edition BI-RADS ultrasound lexicon with comparison of fourth and fifth edition diagnostic performance using video clips. ULTRASONOGRAPHY. 35(4). 318–326. 9 indexed citations
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Eun, Na Lae, Hye Mi Gweon, Ah Young Park, et al.. (2016). Thyroid nodules with nondiagnostic results on repeat fine-needle aspiration biopsy: which nodules should be considered for repeat biopsy or surgery rather than follow-up?. ULTRASONOGRAPHY. 35(3). 234–243. 15 indexed citations
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Park, Ah Young, Eun Ju Son, Jeong‐Ah Kim, Kyunghwa Han, & Ji Hyun Youk. (2015). Lesion stiffness measured by shear-wave elastography: Preoperative predictor of the histologic underestimation of US-guided core needle breast biopsy. European Journal of Radiology. 84(12). 2509–2514. 3 indexed citations
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Park, Ah Young, et al.. (2014). Ductal carcinoma in situ diagnosed at US-guided 14-gauge core-needle biopsy for breast mass: Preoperative predictors of invasive breast cancer. European Journal of Radiology. 83(4). 654–659. 42 indexed citations
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Youk, Ji Hyun, Hye Mi Gweon, Eun Ju Son, Jeong‐Ah Kim, & Joon Jeong. (2013). Shear-wave elastography of invasive breast cancer: correlation between quantitative mean elasticity value and immunohistochemical profile. Breast Cancer Research and Treatment. 138(1). 119–126. 76 indexed citations
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Youk, Ji Hyun & Eun‐Kyung Kim. (2012). Current Trends in Breast Ultrasonography. ULTRASONOGRAPHY. 31(1). 1–10.
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Youk, Ji Hyun, Eun‐Kyung Kim, Min Jung Kim, & Ki Keun Oh. (2008). Imaging Findings of Chest Wall Lesions on Breast Sonography. Journal of Ultrasound in Medicine. 27(1). 125–138. 22 indexed citations
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Lee, Ji Young, Eun‐Kyung Kim, Min Jung Kim, Ji Hyun Youk, & Ki Keun Oh. (2006). Imaging Findings of Palpable Benign Masses in the Axilla.. ULTRASONOGRAPHY. 25(1). 21–29.
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Youk, Ji Hyun, et al.. (2003). Malignant hepatic masses treated with interventional therapeutic procedures: evaluation with microbubble contrast-enhanced agent detection imaging. Ultrasound in Medicine & Biology. 29(5). S185–S186. 1 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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