Young Jun Kim

1.7k total citations
66 papers, 1.3k citations indexed

About

Young Jun Kim is a scholar working on Surgery, Hepatology and Epidemiology. According to data from OpenAlex, Young Jun Kim has authored 66 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Surgery, 22 papers in Hepatology and 19 papers in Epidemiology. Recurrent topics in Young Jun Kim's work include Hepatocellular Carcinoma Treatment and Prognosis (20 papers), Liver Disease Diagnosis and Treatment (17 papers) and Liver Disease and Transplantation (11 papers). Young Jun Kim is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (20 papers), Liver Disease Diagnosis and Treatment (17 papers) and Liver Disease and Transplantation (11 papers). Young Jun Kim collaborates with scholars based in South Korea, United States and Germany. Young Jun Kim's co-authors include Hee Sun Park, Min Woo Lee, Sung Il Jung, Hae Jeong Jeon, Nam Chol Yu, Steven S. Raman, David Lu, Dong Ik, Hyo Keun Lim and Hyunchul Rhim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Radiology.

In The Last Decade

Young Jun Kim

62 papers receiving 1.3k citations

Peers

Young Jun Kim

HEPAT

SURGE

EPIDE

PRM

RNMI

Jinyu Liang China

Zuo‐Feng Xu China

Radu Badea Romania

Roberto Cannella Italy

Hyun Jeong Park South Korea

Massimo Midiri Italy

Mi Hye Yu South Korea

Ernst Michael Jung Germany

Christian Greis Germany

G Rizzatto Italy

Jinyu Liang China

Young Jun Kim

604 ×1.0

HEPAT

495 ×1.1

SURGE

438 ×1.2

EPIDE

409 ×1.2

PRM

490 ×1.7

RNMI

Citations per year, relative to Young Jun Kim Young Jun Kim (= 1×) peers Jinyu Liang

Countries citing papers authored by Young Jun Kim

Since Specialization

Citations

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

Fields of papers citing papers by Young Jun Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Jun 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 Young Jun Kim. The network helps show where Young Jun Kim may publish in the future.

Co-authorship network of co-authors of Young Jun Kim

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

All Works

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20 of 20 papers shown

Park, Sungeun, Hee Sun Park, Jungheum Cho, et al.. (2024). Utility of abbreviated MRI in the post-treatment evaluation of rectal cancer. Acta Radiologica. 65(7). 689–699.

Park, Hee Sun, et al.. (2024). Discrepancies in Splenic Size Measurement: A Comparative Analysis of Ultrasound and Computed Tomography. Diagnostics. 14(8). 789–789.

Yu, Mi Hye, Young Jun Kim, Sungeun Park, Hee Sun Park, & Sung Il Jung. (2024). Multisystem diseases in the abdomen and pelvis: imaging manifestations and diagnostic roles of cross-sectional imaging. Abdominal Radiology. 50(3). 1376–1391.

Park, Hee Sun, Sungeun Park, Young Jun Kim, et al.. (2023). Motion-Corrected versus Conventional Diffusion-Weighted Magnetic Resonance Imaging of the Liver Using Non-Rigid Registration. Diagnostics. 13(6). 1008–1008. 1 indexed citations

Moon, Min Hoan, Hee Sun Park, Young Jun Kim, et al.. (2023). Computed Tomography Indicators for Differentiating Stage 1 Borderline Ovarian Tumors from Stage I Malignant Epithelial Ovarian Tumors. Diagnostics. 13(3). 480–480. 2 indexed citations

Jung, Sung Il, Hee Sun Park, Mi Hye Yu, et al.. (2020). Korean ureter length: A computed tomography–based study. Investigative and Clinical Urology. 61(3). 291–291. 2 indexed citations

Park, Hee Sun, et al.. (2020). Prediction of Necrotizing Pancreatitis on Early CT Based on the Revised Atlanta Classification. SHILAP Revista de lepidopterología. 81(6). 1436–1436. 1 indexed citations

Yu, Mi Hye, Young Jun Kim, Hee Sun Park, & Sung Il Jung. (2020). Benign gallbladder diseases: Imaging techniques and tips for differentiating with malignant gallbladder diseases. World Journal of Gastroenterology. 26(22). 2967–2986. 61 indexed citations

Park, Hee Sun, et al.. (2018). Estimation of hepatic fat fraction using modified Dixon magnetic resonance imaging techniques: effect of liver cirrhosis. Clinical Imaging. 51. 50–58. 6 indexed citations

10.

Yang, Woo‐Young, Hee Sun Park, Young Jun Kim, et al.. (2017). Visibility of focal liver lesions: Comparison between kupffer phase of CEUS with sonazoid and hepatobiliary phase of gadoxetic acid–enhanced MRI. Journal of Clinical Ultrasound. 45(9). 542–550. 5 indexed citations

11.

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

12.

Park, Hee Sun, Young Jun Kim, Mi Hye Yu, Sung Il Jung, & Hae Jeong Jeon. (2015). Real‐time Contrast‐Enhanced Sonographically Guided Biopsy or Radiofrequency Ablation of Focal Liver Lesions Using Perflurobutane Microbubbles (Sonazoid). Journal of Ultrasound in Medicine. 34(3). 411–421. 29 indexed citations

13.

Jae, Min, Min Woo Lee, Dong Ik, et al.. (2013). Size Discrepancy Between Sonographic and Computed Tomographic/Magnetic Resonance Imaging Measurement of Hepatocellular Carcinoma. Journal of Ultrasound in Medicine. 32(10). 1703–1709. 9 indexed citations

14.

Ko, Su Yeon, Young Jun Kim, Hee Sun Park, et al.. (2013). Sonographic findings of ectopic prostatic tissue in the bladder: a case report and review of the literature. Clinical Imaging. 37(4). 778–779. 2 indexed citations

15.

Lee, Min Woo, Hyunchul Rhim, Dong Ik, Young Jun Kim, & Hyo Keun Lim. (2013). Planning US for Percutaneous Radiofrequency Ablation of Small Hepatocellular Carcinomas (1–3 cm): Value of Fusion Imaging with Conventional US and CT/MR Images. Journal of Vascular and Interventional Radiology. 24(7). 958–965. 72 indexed citations

16.

Kim, Young Jun, Hee Sun Park, Hae Jeong Jeon, et al.. (2012). Diagnostic Performance of Gray-scale Sonographic Findings for the Detection of Acute Pyelonephritis. ULTRASONOGRAPHY. 31(1). 35–41. 1 indexed citations

17.

Park, Hee Sun, et al.. (2011). Multidetector row computed tomography of acute pancreatitis: Utility of single portal phase CT scan in short-term follow up. European Journal of Radiology. 81(8). 1728–1734. 12 indexed citations

18.

Kim, Young Jun, et al.. (2008). The effect of surface treatment of the cervical area of implant on bone regeneration in mini-pig.. Journal of the Korean Association of Oral and Maxillofacial Surgeons. 34(3). 285–292. 2 indexed citations

19.

Kim, Young Jun, Min Woo Lee, Hae Jeong Jeon, et al.. (2007). Sparganosis in the Scrotum. Journal of Ultrasound in Medicine. 26(1). 129–131. 10 indexed citations

20.

Lee, Min Woo, Se Hyung Kim, Young Jun Kim, et al.. (2007). Gastrointestinal stromal tumor of the stomach: preliminary results of preoperative evaluation with CT gastrography. Abdominal Imaging. 33(3). 255–261. 15 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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