Joon‐Il Choi

2.9k total citations · 1 hit paper
104 papers, 2.0k citations indexed

About

Joon‐Il Choi is a scholar working on Hepatology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Joon‐Il Choi has authored 104 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Hepatology, 43 papers in Epidemiology and 38 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Joon‐Il Choi's work include Hepatocellular Carcinoma Treatment and Prognosis (57 papers), Liver Disease Diagnosis and Treatment (37 papers) and Liver Disease and Transplantation (20 papers). Joon‐Il Choi is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (57 papers), Liver Disease Diagnosis and Treatment (37 papers) and Liver Disease and Transplantation (20 papers). Joon‐Il Choi collaborates with scholars based in South Korea, United States and United Kingdom. Joon‐Il Choi's co-authors include Joong‐Won Park, Sung Eun Rha, Hyun Beom Kim, Moon Hyung Choi, Dong Hwan Kim, Ju Hyun Shim, Chang‐Min Kim, Young Joon Lee, Chandana Lall and Michael Yong Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gut and Radiology.

In The Last Decade

Joon‐Il Choi

100 papers receiving 2.0k citations

Hit Papers

KASL clinical practice guidelines: Management of nonalcoh... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joon‐Il Choi South Korea 25 1.2k 851 522 419 332 104 2.0k
Cristina Mosconi Italy 30 1.1k 0.9× 595 0.7× 361 0.7× 1.3k 3.1× 616 1.9× 136 2.8k
Dominic Yu United Kingdom 20 1.2k 0.9× 855 1.0× 103 0.2× 476 1.1× 212 0.6× 55 1.8k
Jean‐Didier Grangé France 23 1.2k 1.0× 1.1k 1.3× 241 0.5× 623 1.5× 260 0.8× 52 2.1k
Sae Hwan Lee South Korea 24 1.2k 1.0× 962 1.1× 110 0.2× 602 1.4× 282 0.8× 106 2.1k
Chiaki Kagebayashi Japan 7 1.9k 1.5× 1.4k 1.6× 148 0.3× 430 1.0× 242 0.7× 8 2.3k
Lucas McCormack Argentina 21 1.5k 1.2× 772 0.9× 195 0.4× 1.2k 2.8× 235 0.7× 62 2.0k
Laura Marelli United Kingdom 24 2.6k 2.1× 1.8k 2.1× 149 0.3× 1.0k 2.5× 390 1.2× 51 3.2k
Manuel Rodríguez‐Perálvarez Spain 27 1.5k 1.2× 982 1.2× 193 0.4× 1.0k 2.5× 175 0.5× 87 2.8k
Panagiotis Samaras Switzerland 23 418 0.3× 389 0.5× 280 0.5× 280 0.7× 312 0.9× 71 1.9k
Kenichiro Enooku Japan 19 1.0k 0.8× 1.0k 1.2× 128 0.2× 461 1.1× 193 0.6× 59 2.1k

Countries citing papers authored by Joon‐Il Choi

Since Specialization
Citations

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

Fields of papers citing papers by Joon‐Il Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joon‐Il Choi. 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 Joon‐Il Choi. The network helps show where Joon‐Il Choi may publish in the future.

Co-authorship network of co-authors of Joon‐Il Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Joon‐Il Choi. A scholar is included among the top collaborators of Joon‐Il Choi 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 Joon‐Il Choi. Joon‐Il Choi 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
2.
Yoon, Jeong Hee, Young Kon Kim, Jeong Woo Kim, et al.. (2024). Comparison of Four Diagnostic Guidelines for Hepatocellular Carcinoma Using Gadoxetic Acid–enhanced Liver MRI. Radiology. 311(1). e233114–e233114. 6 indexed citations
3.
Kim, Dong Hwan, Bohyun Kim, Jong Young Choi, et al.. (2024). RECIST 1.1, mRECIST, and Choi criteria for evaluating treatment response and survival outcomes in hepatocellular carcinoma patients treated with atezolizumab plus bevacizumab. European Radiology. 35(2). 684–694. 2 indexed citations
4.
Park, So Hyun, Bohyun Kim, Jung-Bok Lee, et al.. (2023). Targetoid Primary Liver Malignancy in Chronic Liver Disease: Prediction of Postoperative Survival Using Preoperative MRI Findings and Clinical Factors. Korean Journal of Radiology. 24(3). 190–190. 4 indexed citations
5.
Park, So Hyun, Bohyun Kim, Sehee Kim, et al.. (2023). Estimating postsurgical outcomes of patients with a single hepatocellular carcinoma using gadoxetic acid–enhanced MRI: risk scoring system development and validation. European Radiology. 33(5). 3566–3579. 2 indexed citations
7.
Kim, Dong Hwan, Bohyun Kim, Joon‐Il Choi, Soon Nam Oh, & Sung Eun Rha. (2022). LI-RADS Treatment Response versus Modified RECIST for Diagnosing Viable Hepatocellular Carcinoma after Locoregional Therapy: A Systematic Review and Meta-Analysis of Comparative Studies. Journal of the Korean Society of Radiology. 83(2). 331–331. 9 indexed citations
8.
Cho, Hyo Jung, Bohyun Kim, JeongGil Ko, et al.. (2021). Combining hepatic surface nodularity and serum tests better predicts hepatic fibrosis stages in chronic liver disease. Abdominal Radiology. 46(9). 4189–4199. 2 indexed citations
10.
Kim, Dong Hwan, Joon‐Il Choi, Moon Hyung Choi, et al.. (2021). Usefulness of Arterial Subtraction in Applying Liver Imaging Reporting and Data System (LI-RADS) Treatment Response Algorithm to Gadoxetic Acid-Enhanced MRI. Korean Journal of Radiology. 22(8). 1289–1289. 7 indexed citations
11.
Kim, Dong Hwan, Seung Baek Hong, Sang Hyun Choi, et al.. (2021). Surveillance failure in ultrasound for hepatocellular carcinoma: a systematic review and meta-analysis. Gut. 71(1). 212–213. 8 indexed citations
12.
Kim, Dong Hwan, Sang Hyun Choi, Bohyun Kim, et al.. (2021). Diagnostic performance of Liver Imaging Reporting and Data System treatment response algorithm: a systematic review and meta-analysis. European Radiology. 31(7). 4785–4793. 11 indexed citations
13.
Rha, Sung Eun, et al.. (2020). Immunoglobulin G4–related Disease of the Genitourinary System: Spectrum of Imaging Findings and Clinical-Pathologic Features. Radiographics. 40(5). 1265–1283. 12 indexed citations
15.
Powers, Benjamin, Béla Kis, James T. Frakes, et al.. (2019). Implementation of a patient-centered tumor board-based multidisciplinary program to improve quality and expedite care for hepatobiliary tumors. HPB. 21. S100–S100. 1 indexed citations
17.
Choi, Moon Hyung, Joon‐Il Choi, Michael Yong Park, et al.. (2016). Validation of intimate correlation between visceral fat and hepatic steatosis: Quantitative measurement techniques using CT for area of fat and MR for hepatic steatosis. Clinical Nutrition. 37(1). 214–222. 12 indexed citations
18.
Iranpour, Pooya, Chandana Lall, Roozbeh Houshyar, et al.. (2015). Altered Doppler flow patterns in cirrhosis patients: an overview. ULTRASONOGRAPHY. 35(1). 3–12. 56 indexed citations
19.
Kim, Hwi Young, Joong‐Won Park, Byung‐Ho Nam, et al.. (2011). Survival of patients with advanced hepatocellular carcinoma: Sorafenib versus other treatments. Journal of Gastroenterology and Hepatology. 26(11). 1612–1618. 28 indexed citations
20.
Shim, Ju Hyun, et al.. (2008). Does Postembolization Fever after Chemoembolization Have Prognostic Significance for Survival in Patients with Unresectable Hepatocellular Carcinoma?. Journal of Vascular and Interventional Radiology. 20(2). 209–216. 29 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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