Young Ah Cho

1.9k total citations
80 papers, 1.3k citations indexed

About

Young Ah Cho is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Young Ah Cho has authored 80 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Surgery, 15 papers in Pulmonary and Respiratory Medicine and 15 papers in Epidemiology. Recurrent topics in Young Ah Cho's work include Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Liver Disease Diagnosis and Treatment (10 papers) and Appendicitis Diagnosis and Management (7 papers). Young Ah Cho is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Liver Disease Diagnosis and Treatment (10 papers) and Appendicitis Diagnosis and Management (7 papers). Young Ah Cho collaborates with scholars based in South Korea, United States and Egypt. Young Ah Cho's co-authors include Jin Seong Lee, Hee Mang Yoon, Ah Young Jung, Jeong Rye Kim, Chong Hyun Suh, Kyung Mo Kim, Jisun Hwang, Pyeong Hwa Kim, Jae‐Yeon Hwang and Woo Hyun Shim and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Young Ah Cho

74 papers receiving 1.2k citations

Peers

Young Ah Cho
Xiaolin Zhang China
Jorge Neumann Brazil
Makoto Watanabe Japan
Susanne Lang Germany
Ibrahim A. Hashim United States
Chorng–Kuang How Taiwan
Anthony Magalski United States
Mordecai Koenigsberg United States
Takashi Moriya Japan
Takayuki Nose Japan
Xiaolin Zhang China
Young Ah Cho
Citations per year, relative to Young Ah Cho Young Ah Cho (= 1×) peers Xiaolin Zhang

Countries citing papers authored by Young Ah Cho

Since Specialization
Citations

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

Fields of papers citing papers by Young Ah Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young Ah Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Young Ah Cho. A scholar is included among the top collaborators of Young Ah Cho 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 Ah Cho. Young Ah Cho 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.
Kim, Pyeong Hwa, Hee Mang Yoon, Ah Young Jung, et al.. (2024). Diagnostic accuracy of CT and Doppler US for hepatic outflow obstruction after pediatric liver transplantation using left lobe or left lateral section grafts. ULTRASONOGRAPHY. 43(2). 110–120. 1 indexed citations
2.
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Kim, Pyeong Hwa, Hee Mang Yoon, Jeong Rye Kim, et al.. (2023). Bone Age Assessment Using Artificial Intelligence in Korean Pediatric Population: A Comparison of Deep-Learning Models Trained With Healthy Chronological and Greulich-Pyle Ages as Labels. Korean Journal of Radiology. 24(11). 1151–1151. 17 indexed citations
4.
Hwang, Jisun, Hee Mang Yoon, Pyeong Hwa Kim, et al.. (2022). Postoperative Imaging Findings of Biliary Atresia. SHILAP Revista de lepidopterología. 83(5). 1014–1014.
5.
Song, Sang Hoon, et al.. (2022). Deep-learning segmentation of ultrasound images for automated calculation of the hydronephrosis area to renal parenchyma ratio. Investigative and Clinical Urology. 63(4). 455–455. 12 indexed citations
6.
Kim, Pyeong Hwa, Young Ah Cho, Hee Mang Yoon, et al.. (2022). Accuracy of attenuation imaging in the assessment of pediatric hepatic steatosis: correlation with the controlled attenuation parameter. ULTRASONOGRAPHY. 41(4). 761–769. 4 indexed citations
7.
Hwang, Jisun, Hee Mang Yoon, Jae‐Yeon Hwang, et al.. (2022). Re-Assessment of Applicability of Greulich and Pyle-Based Bone Age to Korean Children Using Manual and Deep Learning-Based Automated Method. Yonsei Medical Journal. 63(7). 683–683. 10 indexed citations
8.
Hwang, Jisun, Pyeong Hwa Kim, Hee Mang Yoon, et al.. (2022). Application of the postnatal urinary tract dilation classification system to predict the need for surgical intervention among neonates and young infants. ULTRASONOGRAPHY. 42(1). 136–146. 7 indexed citations
9.
Hwang, Jisun, Hee Mang Yoon, Pyeong Hwa Kim, et al.. (2022). Current diagnosis and image-guided reduction for intussusception in children. Clinical and Experimental Pediatrics. 66(1). 12–21. 11 indexed citations
10.
Kim, Pyeong Hwa, Hee Mang Yoon, Byong Sop Lee, et al.. (2022). Postnatal Imaging for Prediction of Outcome in Patients with Left-sided Congenital Diaphragmatic Hernia. The Journal of Pediatrics. 251. 89–97.e3. 1 indexed citations
11.
Ahn, Juhee, Sungho Won, Young Ah Cho, et al.. (2022). Risk of malignancy in patients with psoriasis according to treatment modalities in Korea: a nationwide cohort study. Scientific Reports. 12(1). 20690–20690. 5 indexed citations
12.
Kim, Pyeong Hwa, Hee Mang Yoon, Ah Young Jung, Jin Seong Lee, & Young Ah Cho. (2021). Diagnostic Performance of Diffusion-weighted Imaging for Evaluation of Bowel Inflammation in Paediatric Inflammatory Bowel Disease: A Systematic Review and Meta-analysis. Journal of Crohn s and Colitis. 16(1). 68–78. 7 indexed citations
13.
Koh, Kyung‐Nam, Jung‐Man Namgoong, Hee Mang Yoon, et al.. (2021). Recent improvement in survival outcomes and reappraisal of prognostic factors in hepatoblastoma. Cancer Medicine. 10(10). 3261–3273. 9 indexed citations
14.
Kim, Pyeong Hwa, Young Ah Cho, Hee Mang Yoon, et al.. (2021). Ability of Pelvic Magnetic Resonance Imaging to Predict Clinical Course of Perianal Fistula in Paediatric Crohn’s Disease Patients. Journal of Crohn s and Colitis. 15(7). 1152–1160. 9 indexed citations
15.
Kim, Pyeong Hwa, Hee Mang Yoon, Jisun Hwang, et al.. (2021). Diagnostic performance of adult-based ATA and ACR-TIRADS ultrasound risk stratification systems in pediatric thyroid nodules: a systematic review and meta-analysis. European Radiology. 31(10). 7450–7463. 31 indexed citations
16.
Cho, Young Ah, et al.. (2020). What Makes English Learning Enjoyable and Anxious in a Korean EFL Context. 46(3). 297–319.
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Kim, Dong Wook, Hee Mang Yoon, Jeong‐Yong Lee, et al.. (2018). Diagnostic performance of CT for pediatric patients with suspected appendicitis in various clinical settings: a systematic review and meta-analysis. Emergency Radiology. 25(6). 627–637. 11 indexed citations
19.
Yoon, Hee Mang, Jeong Rye Kim, Ah Young Jung, et al.. (2017). Whole Body MR Imaging: A Useful Imaging Modality in the Management of Children With Acute Myeloid Leukemia. Clinical Lymphoma Myeloma & Leukemia. 17(4). 231–237. 8 indexed citations
20.
Cho, Young Ah, et al.. (2014). The Influences of Task Type and Repetition on L2 Vocabulary Learning. 14(2). 349–376.

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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