Jae Jun Lee

2.7k total citations
173 papers, 1.8k citations indexed

About

Jae Jun Lee is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Anesthesiology and Pain Medicine. According to data from OpenAlex, Jae Jun Lee has authored 173 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Surgery, 45 papers in Pulmonary and Respiratory Medicine and 23 papers in Anesthesiology and Pain Medicine. Recurrent topics in Jae Jun Lee's work include Anesthesia and Pain Management (28 papers), Gastric Cancer Management and Outcomes (21 papers) and Nausea and vomiting management (16 papers). Jae Jun Lee is often cited by papers focused on Anesthesia and Pain Management (28 papers), Gastric Cancer Management and Outcomes (21 papers) and Nausea and vomiting management (16 papers). Jae Jun Lee collaborates with scholars based in South Korea, Nigeria and United States. Jae Jun Lee's co-authors include Chang Seok Bang, Gwang Ho Baik, Sung Mi Hwang, Ji Su Jang, Young Suk Kwon, Jong Ho Kim, Jung-Taek Hwang, Do-Young Kim, Young Joo Yang and Youngmi Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Jae Jun Lee

161 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae Jun Lee South Korea 22 800 458 265 213 184 173 1.8k
Masahiro Ono Japan 23 833 1.0× 267 0.6× 118 0.4× 191 0.9× 75 0.4× 77 1.8k
Jeffrey Harris Canada 32 1.7k 2.1× 588 1.3× 298 1.1× 122 0.6× 117 0.6× 99 2.7k
John J. Ferrara United States 26 1.1k 1.3× 336 0.7× 222 0.8× 143 0.7× 53 0.3× 122 2.1k
Marcelo F. Jiménez Spain 26 682 0.9× 1.5k 3.3× 221 0.8× 156 0.7× 190 1.0× 176 2.4k
Vikas Gupta India 22 1.3k 1.6× 493 1.1× 463 1.7× 109 0.5× 76 0.4× 147 1.8k
I. Watt United Kingdom 38 1.9k 2.3× 636 1.4× 204 0.8× 180 0.8× 162 0.9× 114 5.1k
Fuqiang Gao China 28 1.3k 1.6× 290 0.6× 148 0.6× 82 0.4× 46 0.3× 111 2.4k
Giuseppe Lo Re Italy 19 460 0.6× 280 0.6× 112 0.4× 264 1.2× 23 0.1× 116 1.3k
Seung Hoon Woo South Korea 23 748 0.9× 333 0.7× 101 0.4× 225 1.1× 103 0.6× 165 1.6k
Benny Dahl Denmark 31 2.1k 2.6× 129 0.3× 151 0.6× 79 0.4× 138 0.8× 151 3.3k

Countries citing papers authored by Jae Jun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jae Jun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae Jun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Jun Lee. A scholar is included among the top collaborators of Jae Jun Lee 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 Jae Jun Lee. Jae Jun Lee 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.
Gong, Eun Jeong, Chang Seok Bang, Jae Jun Lee, & Gwang Ho Baik. (2025). Knowledge-Practice Performance Gap in Clinical Large Language Models: Systematic Review of 39 Benchmarks. Journal of Medical Internet Research. 27. e84120–e84120.
3.
Kim, Chul‐Ho, et al.. (2024). Comparative efficacy of anteroposterior and lateral X-ray based deep learning in the detection of osteoporotic vertebral compression fracture. Scientific Reports. 14(1). 28388–28388. 2 indexed citations
4.
Bang, Chang Seok, Jae Jun Lee, Ji Yong Ahn, et al.. (2024). In Vitro Susceptibility and Synergistic Effect of Bismuth Against Helicobacter pylori. Antibiotics. 13(11). 1004–1004. 1 indexed citations
5.
Gong, Eun Jeong, et al.. (2024). Large Language Models in Gastroenterology: Systematic Review. Journal of Medical Internet Research. 26. e66648–e66648. 8 indexed citations
6.
Gong, Eun Jeong, et al.. (2024). The Potential Clinical Utility of the Customized Large Language Model in Gastroenterology: A Pilot Study. Bioengineering. 12(1). 1–1. 4 indexed citations
7.
Kim, Jong Ho, et al.. (2024). Influence of Curved Video Laryngoscope Blade Sizes and Patient Heights on Video Laryngoscopic Views: A Randomized Controlled Trial. Journal of Personalized Medicine. 14(2). 209–209. 1 indexed citations
8.
Kim, Jin-Myung, Jae Jun Lee, Joo Hee Jung, et al.. (2023). Comparison of long-term outcomes in simultaneous pancreas-kidney transplant versus simultaneous deceased donor pancreas and living donor kidney transplant. Scientific Reports. 13(1). 49–49. 1 indexed citations
9.
Chung, Kyung Min, Jong Ho Kim, Jae Jun Lee, et al.. (2023). Deep Learning-Based Knee MRI Classification for Common Peroneal Nerve Palsy with Foot Drop. Biomedicines. 11(12). 3171–3171. 1 indexed citations
10.
Lee, Minwoo, Jae‐Sung Lim, Yerim Kim, et al.. (2023). High ApoB/ApoA-I Ratio Predicts Post-Stroke Cognitive Impairment in Acute Ischemic Stroke Patients with Large Artery Atherosclerosis. Nutrients. 15(21). 4670–4670. 4 indexed citations
11.
Gong, Eun Jeong, et al.. (2023). Clinical Decision Support System for All Stages of Gastric Carcinogenesis in Real-Time Endoscopy: Model Establishment and Validation Study. Journal of Medical Internet Research. 25. e50448–e50448. 4 indexed citations
12.
Jung, Harry, Tae Yeon Kim, Sung Woo Han, et al.. (2022). Mild Traumatic Brain Injury and Subsequent Acute Pulmonary Inflammatory Response. Journal of Korean Neurosurgical Society. 65(5). 680–687. 9 indexed citations
13.
Hong, Eun Pyo, Bong Jun Kim, Jae Jun Lee, et al.. (2022). Genome-wide polygenic risk impact on intracranial aneurysms and acute ischemic stroke. PLoS ONE. 17(4). e0265581–e0265581. 3 indexed citations
14.
Bang, Chang Seok, Jae Jun Lee, & Gwang Ho Baik. (2021). Computer-Aided Diagnosis of Diminutive Colorectal Polyps in Endoscopic Images: Systematic Review and Meta-analysis of Diagnostic Test Accuracy. Journal of Medical Internet Research. 23(8). e29682–e29682. 21 indexed citations
15.
Bang, Chang Seok, Jae Jun Lee, & Gwang Ho Baik. (2021). Computer-Aided Diagnosis of Gastrointestinal Ulcer and Hemorrhage Using Wireless Capsule Endoscopy: Systematic Review and Diagnostic Test Accuracy Meta-analysis. Journal of Medical Internet Research. 23(12). e33267–e33267. 11 indexed citations
16.
Bang, Chang Seok, Jae Jun Lee, & Gwang Ho Baik. (2020). The Most Influential Publications on Endoscopic Submucosal Dissection: A Bibliometric Analysis. The Korean Journal of Helicobacter and Upper Gastrointestinal Research. 20(4). 306–317. 1 indexed citations
17.
Bang, Chang Seok, Jae Jun Lee, & Gwang Ho Baik. (2020). Artificial Intelligence for the Prediction of Helicobacter Pylori Infection in Endoscopic Images: Systematic Review and Meta-Analysis Of Diagnostic Test Accuracy. Journal of Medical Internet Research. 22(9). e21983–e21983. 66 indexed citations
18.
Cho, Bum‐Joo, et al.. (2020). Prediction of Submucosal Invasion for Gastric Neoplasms in Endoscopic Images Using Deep-Learning. Journal of Clinical Medicine. 9(6). 1858–1858. 45 indexed citations
19.
Lee, Jae Jun, et al.. (2018). Sentiment Analysis Using Deep Learning Model based on Phoneme-level Korean. Journal of the Korea society of IT services. 17(1). 79–89. 3 indexed citations
20.
Kim, Myeong-Ok, et al.. (2010). The Significance of the Berg Balance Scale as a Parameter of Walking Outcome in Post-acute Spinal Cord Injured Patients. Annals of Rehabilitation Medicine. 34(5). 513–517. 2 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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