Jimi Huh
About
Jimi Huh is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging and Hepatology.
According to data from OpenAlex, Jimi Huh has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 15 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Hepatology. Recurrent topics in Jimi Huh's work include Liver Disease Diagnosis and Treatment (14 papers), Hepatocellular Carcinoma Treatment and Prognosis (13 papers) and MRI in cancer diagnosis (7 papers). Jimi Huh is often cited by papers focused on Liver Disease Diagnosis and Treatment (14 papers), Hepatocellular Carcinoma Treatment and Prognosis (13 papers) and MRI in cancer diagnosis (7 papers). Jimi Huh collaborates with scholars based in South Korea, United States and Germany. Jimi Huh's co-authors include Kyung Won Kim, Seong Ho Park, Sang Hyun Choi, Juneyoung Lee, Youngbin Shin, In‐Seob Lee, Bohyun Kim, Yu Sub Sung, Koeun Lee and Kwon‐Ha Yoon and has published in prestigious journals such as PLoS ONE, American Journal of Roentgenology and Journal of Medical Internet Research.
In The Last Decade
Jimi Huh
45 papers receiving 1.7k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Jimi Huh South Korea | 17 | 438 | 421 | 402 | 400 | 316 | 45 | 1.7k | ||
| Gavin Low Canada | 27 | 745 1.7× | 427 1.0× | 280 0.7× | 431 1.1× | 392 1.2× | 114 | 1.9k | ||
| Julian A. Luetkens Germany | 29 | 654 1.5× | 669 1.6× | 382 1.0× | 1.2k 3.0× | 413 1.3× | 225 | 3.2k | ||
| Daniel Kuetting Germany | 24 | 451 1.0× | 410 1.0× | 228 0.6× | 734 1.8× | 246 0.8× | 135 | 2.0k | ||
| Isao Yokota Japan | 23 | 358 0.8× | 222 0.5× | 212 0.5× | 614 1.5× | 73 0.2× | 218 | 2.3k | ||
| Davide Ippolito Italy | 24 | 332 0.8× | 268 0.6× | 150 0.4× | 1.0k 2.5× | 441 1.4× | 125 | 1.9k | ||
| Guido Ligabue Italy | 25 | 355 0.8× | 471 1.1× | 402 1.0× | 372 0.9× | 181 0.6× | 92 | 2.1k | ||
| Yun Ho Roh South Korea | 22 | 381 0.9× | 411 1.0× | 120 0.3× | 249 0.6× | 283 0.9× | 75 | 1.4k | ||
| Anton Faron Germany | 21 | 223 0.5× | 243 0.6× | 228 0.6× | 296 0.7× | 122 0.4× | 55 | 1.2k | ||
| Sergi Mojal Spain | 25 | 505 1.2× | 262 0.6× | 96 0.2× | 90 0.2× | 147 0.5× | 81 | 1.8k | ||
| Tamotsu Kamishima Japan | 22 | 616 1.4× | 339 0.8× | 89 0.2× | 252 0.6× | 256 0.8× | 110 | 1.6k |
Countries citing papers authored by Jimi Huh
Since
Specialization
Citations
This map shows the geographic impact of Jimi Huh'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 Jimi Huh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jimi Huh more than expected).
Fields of papers citing papers by Jimi Huh
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Jimi Huh. 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 Jimi Huh. The network helps show where Jimi Huh may publish in the future.
Co-authorship network of co-authors of Jimi Huh
This figure shows the co-authorship network connecting the top 25 collaborators of Jimi Huh. A scholar is included among the top collaborators of Jimi Huh 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 Jimi Huh. Jimi Huh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Kim, Bohyun, So Yeon Kim, So Yeon Kim, et al.. (2024). A Multicenter Study on Hepatocellular Adenomas in Korea: Clinicopathological and Imaging Features With an Emphasis on β‐Catenin Mutated Subtype. Liver International. 45(4). e16155–e16155.
2.
Kim, Kyung Won, Jimi Huh, Jinseok Lee, et al.. (2023). Artificial Intelligence in Gastric Cancer Imaging With Emphasis on Diagnostic Imaging and Body Morphometry. Journal of the Korean Gastric Cancer Association. 23(3). 388–388.
3.
Chung, Heewon, Yousun Ko, In‐Seob Lee, et al.. (2023). Prognostic artificial intelligence model to predict 5 year survival at 1 year after gastric cancer surgery based on nutrition and body morphometry. Journal of Cachexia Sarcopenia and Muscle. 14(2). 847–859.
4.
Ko, Yousun, Youngbin Shin, Yu Sub Sung, et al.. (2022). A reliable and robust method for the upper thigh muscle quantification on computed tomography: toward a quantitative biomarker for sarcopenia. BMC Musculoskeletal Disorders. 23(1). 93–93.
5.
Cho, Hyo Jung, Young-Hwan Ahn, Jung Woo Eun, et al.. (2021). Risk Prediction Model Based on Magnetic Resonance Elastography-Assessed Liver Stiffness for Predicting Posthepatectomy Liver Failure in Patients with Hepatocellular Carcinoma. Gut and Liver. 16(2). 277–289.
6.
Park, So Hyun, Young Sup Shim, Bohyun Kim, et al.. (2021). Retrospective analysis of current guidelines for hepatocellular carcinoma diagnosis on gadoxetic acid–enhanced MRI in at-risk patients. European Radiology. 31(7). 4751–4763.
7.
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.
8.
Ko, Hoon, Jimi Huh, Kyung Won Kim, et al.. (2021). A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation. Journal of Medical Internet Research. 24(1). e34415–e34415.
9.
Park, So Hyun, Bohyun Kim, So Yeon Kim, et al.. (2020). Characterizing Computed Tomography-Detected Arterial Hyperenhancing-Only Lesions in Patients at Risk of Hepatocellular Carcinoma: Can Non-Contrast Magnetic Resonance Imaging Be Used for Sequential Imaging?. Korean Journal of Radiology. 21(3). 280–280.
10.
Shin, Youngbin, et al.. (2020). Test-retest repeatability of ultrasonographic shear wave elastography in a rat liver fibrosis model: toward a quantitative biomarker for preclinical trials. ULTRASONOGRAPHY. 40(1). 126–135.
11.
Cho, Hyo Jung, Bohyun Kim, Hye Jin Kim, et al.. (2020). Liver stiffness measured by MR elastography is a predictor of early HCC recurrence after treatment. European Radiology. 30(8). 4182–4192.
12.
Huh, Jimi, Bumhee Park, Young‐Sil An, et al.. (2020). Prognostic Value of Skeletal Muscle Depletion Measured on Computed Tomography for Overall Survival in Patients with Non-Metastatic Breast Cancer. Journal of Breast Cancer. 23(1). 80–80.
13.
Huh, Jimi, Jae Ho Byun, Jin Hee Kim, et al.. (2020). Value of apparent diffusion coefficient for differentiating peripancreatic tuberculous lymphadenopathy from metastatic lymphadenopathy. Abdominal Radiology. 45(10). 3163–3171.
14.
Park, So Hyun, Bohyun Kim, So Yeon Kim, et al.. (2019). Abbreviated MRI with optional multiphasic CT as an alternative to full-sequence MRI: LI-RADS validation in a HCC-screening cohort. European Radiology. 30(4). 2302–2311.
15.
Kim, Hye Jin, Bohyun Kim, Jimi Huh, et al.. (2019). Reproducibility of hepatic MR elastography across field strengths, pulse sequences, scan intervals, and readers. Abdominal Radiology. 45(1). 107–115.
16.
Park, Hyo Jung, Youngbin Shin, Jisuk Park, et al.. (2019). Development and Validation of a Deep Learning System for Segmentation of Abdominal Muscle and Fat on Computed Tomography. Korean Journal of Radiology. 21(1). 88–88.
17.
Huh, Jimi, Young Chul Cho, Bumwoo Park, et al.. (2019). Gadoxetate-enhanced dynamic contrast-enhanced MRI for evaluation of liver function and liver fibrosis in preclinical trials. BMC Medical Imaging. 19(1). 89–89.
18.
Lee, Jei Hee, Jeong‐Sik Yu, Joo Hee Kim, et al.. (2018). Three cases of pancreatic pseudocysts associated with dorsal pancreatic agenesis. Radiology Case Reports. 14(1). 79–82.
19.
Huh, Jimi, Jisuk Park, Kyung Won Kim, et al.. (2018). Optimal Phase of Dynamic Computed Tomography for Reliable Size Measurement of Metastatic Neuroendocrine Tumors of the Liver: Comparison between Pre- and Post-Contrast Phases. Korean Journal of Radiology. 19(6). 1066–1066.
20.
Kim, Kyung Won, Juneyoung Lee, Sang Hyun Choi, Jimi Huh, & Seong Ho Park. (2015). Systematic Review and Meta-Analysis of Studies Evaluating Diagnostic Test Accuracy: A Practical Review for Clinical Researchers-Part I. General Guidance and Tips. Korean Journal of Radiology. 16(6). 1175–1175.
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.
Explore authors with similar magnitude of impact
Breakdown of academic impact, for papers by Gavin Low Breakdown of academic impact, for papers by Julian A. Luetkens Breakdown of academic impact, for papers by Daniel Kuetting Breakdown of academic impact, for papers by Isao Yokota Breakdown of academic impact, for papers by Davide Ippolito Breakdown of academic impact, for papers by Guido Ligabue Breakdown of academic impact, for papers by Yun Ho Roh Breakdown of academic impact, for papers by Anton Faron Breakdown of academic impact, for papers by Sergi Mojal Breakdown of academic impact, for papers by Tamotsu Kamishima