Geewon Lee

1.5k total citations
61 papers, 1.1k citations indexed

About

Geewon Lee is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Geewon Lee has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Pulmonary and Respiratory Medicine, 28 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Surgery. Recurrent topics in Geewon Lee's work include Lung Cancer Diagnosis and Treatment (27 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Advanced X-ray and CT Imaging (9 papers). Geewon Lee is often cited by papers focused on Lung Cancer Diagnosis and Treatment (27 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Advanced X-ray and CT Imaging (9 papers). Geewon Lee collaborates with scholars based in South Korea, United States and Germany. Geewon Lee's co-authors include Ho Yun Lee, Hyunjin Park, Kyung Soo Lee, Yeon Joo Jeong, Edwin J.R. van Beek, Yoshiharu Ohno, Mark L. Schiebler, Ann N. Leung, Joon Beom Seo and Young Mog Shim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The American Journal of Surgical Pathology.

In The Last Decade

Geewon Lee

58 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geewon Lee South Korea 17 610 599 179 172 156 61 1.1k
Constance de Margerie‐Mellon France 15 562 0.9× 357 0.6× 120 0.7× 168 1.0× 90 0.6× 53 901
Demetris Patsios Canada 17 660 1.1× 188 0.3× 100 0.6× 125 0.7× 48 0.3× 29 888
Rebecca M. Lindell United States 11 555 0.9× 299 0.5× 168 0.9× 92 0.5× 75 0.5× 15 832
Rocío Pérez-Johnston United States 14 307 0.5× 253 0.4× 66 0.4× 261 1.5× 111 0.7× 32 906
Matthew D. Gilman United States 20 656 1.1× 942 1.6× 83 0.5× 169 1.0× 597 3.8× 52 1.5k
Keisuke Asakura Japan 19 838 1.4× 188 0.3× 177 1.0× 181 1.1× 50 0.3× 86 1.2k
Atsuko Kurosaki Japan 19 757 1.2× 92 0.2× 258 1.4× 152 0.9× 40 0.3× 81 1.1k
V. Latrabe France 18 790 1.3× 412 0.7× 142 0.8× 258 1.5× 73 0.5× 40 1.4k
Soyeoun Lim South Korea 13 218 0.4× 342 0.6× 176 1.0× 90 0.5× 41 0.3× 33 797
Kar‐Wai Lui Taiwan 15 700 1.1× 237 0.4× 99 0.6× 361 2.1× 45 0.3× 37 1.2k

Countries citing papers authored by Geewon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Geewon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geewon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Geewon Lee. A scholar is included among the top collaborators of Geewon 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 Geewon Lee. Geewon 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.
Lee, Geewon, et al.. (2025). Tracing Metastatic Evolutionary Patterns in Lung Adenocarcinoma: Prognostic Dissection Based on a Multi-state Model. Cancer Research and Treatment. 57(4). 1019–1029. 1 indexed citations
2.
Kim, Mi‐Hyun, et al.. (2024). Next‐generation sequencing using tissue specimen collected with a 1.1 mm‐diameter cryoprobe in patients with lung cancer. Respirology. 29(4). 333–339. 2 indexed citations
3.
Lee, Ji Won, et al.. (2024). Deep Learning-Based Reconstruction Algorithm With Lung Enhancement Filter for Chest CT: Effect on Image Quality and Ground Glass Nodule Sharpness. Korean Journal of Radiology. 25(9). 833–833. 1 indexed citations
4.
Lee, Geewon, et al.. (2024). Multimodal Imaging Approach for Tumor Treatment Response Evaluation in the Era of Immunotherapy. Investigative Radiology. 60(1). 11–26. 2 indexed citations
5.
Choo, Ki Seok, et al.. (2023). Left Atrial Strain Derived From Cardiac Magnetic Resonance Imaging Can Predict Outcomes of Patients With Acute Myocarditis. Korean Journal of Radiology. 24(6). 512–512. 8 indexed citations
6.
Jeong, Yeon Joo, et al.. (2022). Usefulness of Contrast-Enhanced CT in a Patient with Acute Phlegmonous Esophagitis: A Case Report and Literature Review. Medicina. 58(7). 864–864. 3 indexed citations
7.
8.
Cho, Hwan-ho, et al.. (2021). Radiomics-guided deep neural networks stratify lung adenocarcinoma prognosis from CT scans. Communications Biology. 4(1). 1286–1286. 25 indexed citations
9.
Cho, Hwan-ho, Geewon Lee, Ho Yun Lee, & Hyunjin Park. (2020). Marginal radiomics features as imaging biomarkers for pathological invasion in lung adenocarcinoma. European Radiology. 30(5). 2984–2994. 26 indexed citations
10.
11.
Lee, Geewon, Jeongha Mok, Ji Won Lee, et al.. (2019). Clinical outcomes of radial probe endobronchial ultrasound using a guide sheath for diagnosis of peripheral lung lesions in patients with pulmonary emphysema. Respiratory Research. 20(1). 177–177. 21 indexed citations
12.
Eom, Jung Seop, Seyeon Park, Jihyun Ahn, et al.. (2019). Bronchoscopic management of solitary bronchial myelolipoma: a case report. BMC Pulmonary Medicine. 19(1). 151–151. 2 indexed citations
13.
Kim, Jin You, Jin Joo Kim, Ji Won Lee, et al.. (2018). Risk stratification of ductal carcinoma in situ using whole-lesion histogram analysis of the apparent diffusion coefficient. European Radiology. 29(2). 485–493. 15 indexed citations
14.
Eom, Jung Seop, Jeongha Mok, Min Ki Lee, et al.. (2018). Radial probe endobronchial ultrasound using a guide sheath for peripheral lung lesions in beginners. BMC Pulmonary Medicine. 18(1). 137–137. 27 indexed citations
15.
Eom, Jung Seop, Hyo Yeong Ahn, Jeongha Mok, et al.. (2017). Pleurodesis Using Mistletoe Extract Delivered via a Spray Catheter during Semirigid Pleuroscopy for Managing Symptomatic Malignant Pleural Effusion. Respiration. 95(3). 177–181. 4 indexed citations
16.
Eom, Jung Seop, Geewon Lee, Jeongha Mok, et al.. (2016). Exposure to Mycobacterium tuberculosis during Flexible Bronchoscopy in Patients with Unexpected Pulmonary Tuberculosis. PLoS ONE. 11(5). e0156385–e0156385. 8 indexed citations
17.
Park, Hyunjin, Geewon Lee, Ho Yun Lee, et al.. (2016). Imaging Phenotyping Using Radiomics to Predict Micropapillary Pattern within Lung Adenocarcinoma. Journal of Thoracic Oncology. 12(4). 624–632. 91 indexed citations
18.
Lee, Geewon, I Hoseok, Seong‐Jang Kim, et al.. (2014). Clinical Implication of PET/MR Imaging in Preoperative Esophageal Cancer Staging: Comparison with PET/CT, Endoscopic Ultrasonography, and CT. Journal of Nuclear Medicine. 55(8). 1242–1247. 65 indexed citations
19.
Lee, Geewon, Kyung Soo Lee, Jung Won Moon, et al.. (2013). Nodular Bronchiectatic Mycobacterium avium Complex Pulmonary Disease. Natural Course on Serial Computed Tomographic Scans. Annals of the American Thoracic Society. 10(4). 299–306. 85 indexed citations
20.
Eom, Jung Seop, Geewon Lee, Ho Yun Lee, et al.. (2013). The relationships between tracheal index and lung volume parameters in mild-to-moderate COPD. European Journal of Radiology. 82(12). e867–e872. 9 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Constance de Margerie‐Mellon Breakdown of academic impact, for papers by Demetris Patsios Breakdown of academic impact, for papers by Rebecca M. Lindell Breakdown of academic impact, for papers by Rocío Pérez-Johnston Breakdown of academic impact, for papers by Matthew D. Gilman Breakdown of academic impact, for papers by Keisuke Asakura Breakdown of academic impact, for papers by Atsuko Kurosaki Breakdown of academic impact, for papers by V. Latrabe Breakdown of academic impact, for papers by Soyeoun Lim Breakdown of academic impact, for papers by Kar‐Wai Lui
Rankless by CCL
2026