Suji Lee

429 total citations
38 papers, 263 citations indexed

About

Suji Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Suji Lee has authored 38 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 10 papers in Molecular Biology. Recurrent topics in Suji Lee's work include Cardiac Imaging and Diagnostics (7 papers), Extracellular vesicles in disease (5 papers) and MicroRNA in disease regulation (4 papers). Suji Lee is often cited by papers focused on Cardiac Imaging and Diagnostics (7 papers), Extracellular vesicles in disease (5 papers) and MicroRNA in disease regulation (4 papers). Suji Lee collaborates with scholars based in South Korea, United States and Singapore. Suji Lee's co-authors include Mee-Yon Cho, Wanlu Li, Rackhyun Park, Junsoo Park, Young Joo Suh, Byoung Wook Choi, Dae Chul Jung, Young Taik Oh, Young Deuk Choi and Nam Hoon Cho and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.

In The Last Decade

Suji Lee

33 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suji Lee South Korea 9 104 61 57 48 44 38 263
Guoxiang Fu China 11 100 1.0× 56 0.9× 41 0.7× 24 0.5× 93 2.1× 26 284
Mame Daro Faye Canada 12 218 2.1× 25 0.4× 68 1.2× 32 0.7× 48 1.1× 22 365
Dajia Lin China 6 53 0.5× 92 1.5× 43 0.8× 68 1.4× 80 1.8× 9 234
Lukas Frick Switzerland 7 96 0.9× 54 0.9× 111 1.9× 31 0.6× 73 1.7× 11 339
Xiaoting Tao China 11 123 1.2× 110 1.8× 83 1.5× 45 0.9× 41 0.9× 21 276
Meifang Xu China 11 97 0.9× 43 0.7× 77 1.4× 25 0.5× 129 2.9× 30 286
Mihyang Ha South Korea 10 177 1.7× 77 1.3× 79 1.4× 16 0.3× 47 1.1× 30 302
Xuedong Lv China 12 166 1.6× 97 1.6× 108 1.9× 25 0.5× 72 1.6× 23 339
Aya El Helali Hong Kong 9 94 0.9× 59 1.0× 53 0.9× 22 0.5× 108 2.5× 34 288
Mengping Long China 11 150 1.4× 45 0.7× 64 1.1× 36 0.8× 70 1.6× 34 333

Countries citing papers authored by Suji Lee

Since Specialization
Citations

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

Fields of papers citing papers by Suji Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suji Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Suji Lee. A scholar is included among the top collaborators of Suji 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 Suji Lee. Suji 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
1.
Han, Beom Seok, Min Seok Park, Sang Eun Kim, et al.. (2024). Lidocaine combined with general anesthetics impedes metastasis of breast cancer cells via inhibition of TGF-β/Smad-mediated EMT signaling by reprogramming tumor-associated macrophages. International Immunopharmacology. 142(Pt B). 113207–113207. 6 indexed citations
2.
Suh, Young Joo, Kyunghwa Han, Hwiyoung Kim, et al.. (2024). Computed Tomography Radiomics for Preoperative Prediction of Spread Through Air Spaces in the Early Stage of Surgically Resected Lung Adenocarcinomas. Yonsei Medical Journal. 65(3). 163–163. 7 indexed citations
3.
Soh, Sarah, Young Joo Suh, Suji Lee, et al.. (2024). Prognostic value of CT body composition analysis for 1-year mortality after transcatheter aortic valve replacement. European Radiology. 35(1). 244–254. 3 indexed citations
4.
Lee, Doo Young, Jaeseung Shin, Sung‐Won Kim, et al.. (2023). Radiomics model versus 2017 revised international consensus guidelines for predicting malignant intraductal papillary mucinous neoplasms. European Radiology. 34(2). 1222–1231. 6 indexed citations
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Kim, Byeong Soo, et al.. (2023). Evaluating diagnostic content of AI-generated chest radiography: A multi-center visual Turing test. PLoS ONE. 18(4). e0279349–e0279349. 9 indexed citations
7.
Kim, Hyeonhui, Tae Gyu Oh, Minki Kim, et al.. (2023). PHGDH preserves one-carbon cycle to confer metabolic plasticity in chemoresistant gastric cancer during nutrient stress. Proceedings of the National Academy of Sciences. 120(21). e2217826120–e2217826120. 21 indexed citations
8.
Kim, Jin Young, Yoo Jin Hong, Kyunghwa Han, et al.. (2022). Evaluation of the Ostium in Anomalous Origin of the Right Coronary Artery with an Interarterial Course Using Dynamic Cardiac CT and Implications of Ostial Findings. Korean Journal of Radiology. 23(2). 172–172. 5 indexed citations
9.
Chang, Suyon, Kyunghwa Han, Suji Lee, et al.. (2022). Automated Measurement of Native T1 and Extracellular Volume Fraction in Cardiac Magnetic Resonance Imaging Using a Commercially Available Deep Learning Algorithm. Korean Journal of Radiology. 23(12). 1251–1251. 10 indexed citations
10.
Lee, Jun Sung, Hee Jun Kim, Jin Seok Lee, et al.. (2022). Prophylactic antibiotics may not be necessary for transoral endoscopic thyroidectomy. Frontiers in Surgery. 9. 940391–940391. 1 indexed citations
11.
Kim, Kyu, Suji Lee, Jiwon Seo, et al.. (2022). Assessment of aortic valve area on cardiac computed tomography in symptomatic bicuspid aortic stenosis: Utility and differences from Doppler echocardiography. Frontiers in Cardiovascular Medicine. 9. 1035244–1035244. 2 indexed citations
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Kim, Min Woo, Jee Ye Kim, Suji Lee, et al.. (2021). Tumor-Specific miRNA Signatures in Combination with CA19-9 for Liquid Biopsy-Based Detection of PDAC. International Journal of Molecular Sciences. 22(24). 13621–13621. 10 indexed citations
14.
15.
Kim, Heon‐Woong, Suji Lee, Joo‐Hyung Kim, et al.. (2020). Characterization of Isoflavones from Seed of Selected Soybean (Glycine max L.) Resources Using High-Resolution Mass Spectrometry. The Korean Journal of Food And Nutrition. 33(6). 655–665. 6 indexed citations
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17.
Lee, Suji, Young Jin Kim, Jo Won Jung, et al.. (2019). Evaluation of Flow Pattern in the Ascending Aorta in Patients with Repaired Tetralogy of Fallot Using Four-Dimensional Flow Magnetic Resonance Imaging. Korean Journal of Radiology. 20(9). 1334–1334. 7 indexed citations
18.
Lee, Suji, et al.. (2019). Korean speech recognition using deep learning. Korean Journal of Applied Statistics. 32(2). 213–227. 1 indexed citations
19.
Lee, Suji, et al.. (2017). A Study on the Evaluations of Damage Impact due to VCE in Liquid Hydrogen Charging Station. Journal of the Korean Institute of Gas. 21(5). 56–63. 1 indexed citations
20.
Lee, Suji & Taeyun Kim. (2015). A Study on Determinants of National R&D Projects: With the Focus on the “National R&D for the Competitiveness Enhancement of the Parts and Materials Industry”. Journal of Korea Technology Innovation Society. 18(4). 590–620. 1 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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