Eun Jin Chae

4.0k total citations
119 papers, 2.7k citations indexed

About

Eun Jin Chae is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Eun Jin Chae has authored 119 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Pulmonary and Respiratory Medicine, 24 papers in Radiology, Nuclear Medicine and Imaging and 23 papers in Physiology. Recurrent topics in Eun Jin Chae's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (30 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (21 papers) and Lung Cancer Diagnosis and Treatment (13 papers). Eun Jin Chae is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (30 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (21 papers) and Lung Cancer Diagnosis and Treatment (13 papers). Eun Jin Chae collaborates with scholars based in South Korea, United States and Germany. Eun Jin Chae's co-authors include Joon Beom Seo, Koun-Sik Song, Namkug Kim, Jaewoo Song, Bernhard Krauß, Yu Mi Jang, Jin Woo Song, Hyun Joo Lee, Kyung‐Hyun Do and Choong Wook Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Eun Jin Chae

111 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eun Jin Chae South Korea 29 1.4k 919 629 386 366 119 2.7k
Martine Rémy-Jardin France 28 1.6k 1.2× 1.2k 1.3× 757 1.2× 283 0.7× 355 1.0× 57 2.8k
Jung-Gi Im South Korea 31 1.9k 1.4× 1.0k 1.1× 346 0.6× 156 0.4× 316 0.9× 82 3.2k
Maurizio Zompatori Italy 34 2.8k 2.1× 660 0.7× 197 0.3× 605 1.6× 469 1.3× 251 4.2k
Tsuneo Yamashiro Japan 25 1.6k 1.2× 557 0.6× 218 0.3× 290 0.8× 85 0.2× 119 2.5k
Olivier Lucidarme France 28 729 0.5× 1.2k 1.3× 533 0.8× 99 0.3× 343 0.9× 124 2.6k
Gregory L. Aughenbaugh United States 22 1.9k 1.4× 978 1.1× 166 0.3× 183 0.5× 301 0.8× 37 2.7k
Gorka Bastarrika Spain 31 1.4k 1.0× 1.5k 1.7× 891 1.4× 151 0.4× 353 1.0× 185 3.5k
Santiago E. Rossi United States 22 1.5k 1.1× 492 0.5× 180 0.3× 179 0.5× 515 1.4× 44 2.5k
Fumikazu Sakai Japan 36 2.6k 1.9× 506 0.6× 130 0.2× 604 1.6× 684 1.9× 124 3.9k
Suzanne L. Aquino United States 27 1.5k 1.1× 782 0.9× 207 0.3× 133 0.3× 181 0.5× 56 2.3k

Countries citing papers authored by Eun Jin Chae

Since Specialization
Citations

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

Fields of papers citing papers by Eun Jin Chae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun Jin Chae. 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 Eun Jin Chae. The network helps show where Eun Jin Chae may publish in the future.

Co-authorship network of co-authors of Eun Jin Chae

This figure shows the co-authorship network connecting the top 25 collaborators of Eun Jin Chae. A scholar is included among the top collaborators of Eun Jin Chae 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 Eun Jin Chae. Eun Jin Chae 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.
Choe, Jooae, et al.. (2025). Interstitial Lung Abnormality in Health Screening Examinees: Prevalence, Outcomes, and Risk Factors. Journal of Korean Medical Science. 40(37). e237–e237.
2.
Choe, Jooae, Jae Kwang Yun, Wonjun Ji, et al.. (2024). Prognostic Value of Preoperative N Subcategories in Patients with Stage IIIA N2 Non–Small Cell Lung Cancer. Radiology Cardiothoracic Imaging. 6(4). e230347–e230347.
3.
Kim, Jae‐Hoon, Hyungwoo Cho, Heungsup Sung, et al.. (2021). Reappraisal of the prognostic value of Epstein-Barr virus status in monomorphic post-transplantation lymphoproliferative disorders–diffuse large B-cell lymphoma. Scientific Reports. 11(1). 2880–2880. 6 indexed citations
4.
Hong, Gil-Sun, Eun Jin Chae, Jin‐Sook Ryu, et al.. (2021). Assessment of naive indolent lymphoma using whole-body diffusion-weighted imaging and T2-weighted MRI: results of a prospective study in 30 patients. Cancer Imaging. 21(1). 5–5. 6 indexed citations
5.
Lee, Sang‐Oh, Kyung‐Wook Jo, Sehoon Choi, et al.. (2020). Infections in Lung Transplant Recipients during and after Prophylaxis. Infection and Chemotherapy. 52(4). 600–600. 8 indexed citations
6.
Lee, Song‐I, et al.. (2020). Pleuroparenchymal fibroelastosis in patients with idiopathic pulmonary fibrosis. Respirology. 25(10). 1046–1052. 21 indexed citations
7.
Jo, Kyung‐Wook, Sang‐Bum Hong, Dong Kwan Kim, et al.. (2019). Long-Term Outcomes of Adult Lung Transplantation Recipients: A Single-Center Experience in South Korea. Tuberculosis & respiratory diseases. 82(4). 348–348. 6 indexed citations
8.
Lee, Koeun, Ho Young Park, Kyung Won Kim, et al.. (2019). Advances in whole body MRI for musculoskeletal imaging: Diffusion-weighted imaging. Journal of Clinical Orthopaedics and Trauma. 10(4). 680–686. 17 indexed citations
9.
Sung, Heungsup, Ah Ra Jung, Sang-wook Lee, et al.. (2019). Superiority of Epstein-Barr Virus (EBV) DNA in the Plasma over Whole Blood in Prognostication of Extranodal NK/T Cell Lymphoma, Nasal Type (ENKTL). Blood. 134(Supplement_1). 2846–2846. 2 indexed citations
10.
Choi, Sehoon, Seung-Il Park, Geun Dong Lee, et al.. (2018). The First Living-Donor Lobar Lung Transplantation in Korea: a Case Report. Journal of Korean Medical Science. 33(43). e282–e282. 4 indexed citations
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Choi, Sang Hyun, Eun Jin Chae, So Youn Shin, et al.. (2016). Comparisons of clinical outcomes in patients with and without a preoperative tissue diagnosis in the persistent malignant-looking, ground-glass-opacity nodules. Medicine. 95(34). e4359–e4359. 11 indexed citations
14.
Chae, Eun Jin, Namkug Kim, Joon Beom Seo, et al.. (2013). Prediction of Postoperative Lung Function in Patients Undergoing Lung Resection. Investigative Radiology. 48(8). 622–627. 28 indexed citations
15.
Bae, Yun‐Jeong, Tae‐Bum Kim, Kiyoung Lee, et al.. (2009). Vascular endothelial growth factor levels in induced sputum and emphysematous changes in smoking asthmatic patients. Annals of Allergy Asthma & Immunology. 103(1). 51–56. 11 indexed citations
16.
Chae, Eun Jin, Joon Beom Seo, Hyun Woo Goo, et al.. (2008). Xenon Ventilation CT with a Dual-Energy Technique of Dual-Source CT: Initial Experience. Radiology. 248(2). 615–624. 126 indexed citations
17.
Park, Yang Shin, Joon Beom Seo, Namkug Kim, et al.. (2008). Texture-Based Quantification of Pulmonary Emphysema on High-Resolution Computed Tomography: Comparison With Density-Based Quantification and Correlation With Pulmonary Function Test. Investigative Radiology. 43(6). 395–402. 80 indexed citations
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Chae, Eun Jin, Joon Beom Seo, So Yeon Kim, et al.. (2006). Radiographic and CT Findings of Thoracic Complications after Pneumonectomy. Radiographics. 26(5). 1449–1468. 37 indexed citations
20.

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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