Su Joa Ahn

1.8k total citations
56 papers, 1.3k citations indexed

About

Su Joa Ahn is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Hepatology. According to data from OpenAlex, Su Joa Ahn has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Surgery and 18 papers in Hepatology. Recurrent topics in Su Joa Ahn's work include Hepatocellular Carcinoma Treatment and Prognosis (17 papers), Liver Disease Diagnosis and Treatment (13 papers) and Pancreatic and Hepatic Oncology Research (11 papers). Su Joa Ahn is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (17 papers), Liver Disease Diagnosis and Treatment (13 papers) and Pancreatic and Hepatic Oncology Research (11 papers). Su Joa Ahn collaborates with scholars based in South Korea, Ethiopia and Canada. Su Joa Ahn's co-authors include Joon Koo Han, Jeong Min Lee, Jung Hoon Kim, Ijin Joo, Hyo‐Jin Kang, Dong Ho Lee, Sang Joon Park, Jeong Hee Yoon, Sang Min Lee and Hyun Kyung Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Radiology.

In The Last Decade

Su Joa Ahn

55 papers receiving 1.2k citations

Peers

Su Joa Ahn
Jae Seok Bae South Korea
Mi Hye Yu South Korea
Cecilia Besa United States
Massimo Midiri Italy
Jee Hyun Baek South Korea
Zuo‐Feng Xu China
Sun Kyung Jeon South Korea
Riccardo Iannaccone Italy
Caecilia S. Reiner Switzerland
Harmeet Kaur United States
Jae Seok Bae South Korea
Su Joa Ahn
Citations per year, relative to Su Joa Ahn Su Joa Ahn (= 1×) peers Jae Seok Bae

Countries citing papers authored by Su Joa Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Su Joa Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Joa Ahn. 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 Su Joa Ahn. The network helps show where Su Joa Ahn may publish in the future.

Co-authorship network of co-authors of Su Joa Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Su Joa Ahn. A scholar is included among the top collaborators of Su Joa Ahn 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 Su Joa Ahn. Su Joa Ahn 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, Young Jae, et al.. (2024). Radiomics and machine learning analysis of liver magnetic resonance imaging for prediction and early detection of tumor response in colorectal liver metastases. SHILAP Revista de lepidopterología. 20(1). 27–35. 1 indexed citations
2.
Kim, Jung Hoon, Bo Yun Hur, Su Joa Ahn, et al.. (2020). Prediction of tumor recurrence and poor survival of ampullary adenocarcinoma using preoperative clinical and CT findings. European Radiology. 31(4). 2433–2443. 6 indexed citations
3.
Jang, Young Rock, Su Joa Ahn, Seung Joon Choi, et al.. (2020). Clinical and computed tomography factors associated with sepsis in women with clinically uncomplicated pyelonephritis. Abdominal Radiology. 46(2). 723–731. 1 indexed citations
4.
Kim, Se Woo, Ijin Joo, Hyo‐Cheol Kim, et al.. (2020). LI-RADS treatment response categorization on gadoxetic acid-enhanced MRI: diagnostic performance compared to mRECIST and added value of ancillary features. European Radiology. 30(5). 2861–2870. 44 indexed citations
5.
Yoo, Jeongin, Jeong Min Lee, Ijin Joo, et al.. (2019). Reproducibility of ultrasound attenuation imaging for the noninvasive evaluation of hepatic steatosis. ULTRASONOGRAPHY. 39(2). 121–129. 59 indexed citations
6.
Joo, Ijin, Jeong Min Lee, Eun Sun Lee, et al.. (2019). Preoperative CT Classification of the Resectability of Pancreatic Cancer: Interobserver Agreement. Radiology. 293(2). 343–349. 51 indexed citations
7.
Shim, Young Sup, et al.. (2019). Comparison of submillisievert CT with standard-dose CT for urolithiasis. Acta Radiologica. 61(8). 1105–1115. 6 indexed citations
8.
Lee, Sang Min, Won Chang, Hyo‐Jin Kang, et al.. (2019). Comparison of four different Shear Wave Elastography platforms according to abdominal wall thickness in liver fibrosis evaluation: a phantom study. Medical Ultrasonography. 21(1). 22–22. 14 indexed citations
9.
10.
Lee, Sang Min, Se Hyung Kim, Su Joa Ahn, et al.. (2018). Virtual monoenergetic dual-layer, dual-energy CT enterography: optimization of keV settings and its added value for Crohn’s disease. European Radiology. 28(6). 2525–2534. 45 indexed citations
11.
12.
Jeon, Sun Kyung, Jeong Min Lee, Ijin Joo, et al.. (2018). Magnetic resonance with diffusion-weighted imaging improves assessment of focal liver lesions in patients with potentially resectable pancreatic cancer on CT. European Radiology. 28(8). 3484–3493. 37 indexed citations
13.
Kang, Hyo‐Jin, Jung Hoon Kim, Sang Min Lee, et al.. (2018). Additional value of contrast-enhanced ultrasonography for fusion-guided, percutaneous biopsies of focal liver lesions: prospective feasibility study. Abdominal Radiology. 43(12). 3279–3287. 15 indexed citations
14.
Kim, Se‐Jong, et al.. (2018). Optimal CT protocol for the diagnosis of active bleeding in abdominal trauma patients. The American Journal of Emergency Medicine. 37(7). 1331–1335. 3 indexed citations
15.
16.
Lee, Jeong‐Hwan, Hyuk-Joon Lee, Yeon‐Ju Huh, et al.. (2016). Natural history of gastric cancer. 22–23.
17.
Ahn, Su Joa, Seung Joon Choi, & Hyung Sik Kim. (2016). Time to Progression of Pancreatic Cancer: Evaluation with Multi-Detector Computed Tomography. Journal of Gastrointestinal Cancer. 48(2). 164–169. 19 indexed citations
18.
19.
Ahn, Su Joa, Jung Hoon Kim, Sang Joon Park, & Joon Koo Han. (2016). Prediction of the therapeutic response after FOLFOX and FOLFIRI treatment for patients with liver metastasis from colorectal cancer using computerized CT texture analysis. European Journal of Radiology. 85(10). 1867–1874. 102 indexed citations
20.
Ahn, Su Joa, Young Saing Kim, Eun Young Kim, et al.. (2013). The value of chest CT for prediction of breast tumor size: comparison with pathology measurement. World Journal of Surgical Oncology. 11(1). 130–130. 12 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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