Chae Hong Lim

401 total citations
36 papers, 236 citations indexed

About

Chae Hong Lim is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Chae Hong Lim has authored 36 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 15 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Surgery. Recurrent topics in Chae Hong Lim's work include Medical Imaging Techniques and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Lung Cancer Diagnosis and Treatment (6 papers). Chae Hong Lim is often cited by papers focused on Medical Imaging Techniques and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Lung Cancer Diagnosis and Treatment (6 papers). Chae Hong Lim collaborates with scholars based in South Korea, United States and Malaysia. Chae Hong Lim's co-authors include Joon Young Choi, Seung Hyup Hyun, Kyung-Han Lee, Young Seok Cho, Seung Hwan Moon, Dae Sung Cho, Soo Bin Park, Ji Hye Min, Young Wha Koh and Su Jin Lee and has published in prestigious journals such as Scientific Reports, Medicine and Urology.

In The Last Decade

Chae Hong Lim

34 papers receiving 233 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chae Hong Lim South Korea 10 123 112 52 38 34 36 236
Ki Choon Sim South Korea 10 115 0.9× 124 1.1× 55 1.1× 92 2.4× 12 0.4× 44 290
Leonardo P. Marcal United States 11 87 0.7× 97 0.9× 73 1.4× 96 2.5× 11 0.3× 22 335
Gautum Agarwal United States 10 196 1.6× 105 0.9× 28 0.5× 139 3.7× 47 1.4× 28 311
Erik J. van der Jagt Netherlands 8 140 1.1× 107 1.0× 90 1.7× 78 2.1× 14 0.4× 10 366
J. Livsey United Kingdom 11 132 1.1× 56 0.5× 35 0.7× 170 4.5× 11 0.3× 19 340
Zhengqiang Yang China 11 81 0.7× 55 0.5× 55 1.1× 98 2.6× 70 2.1× 33 351
Cristina Carretero Spain 13 183 1.5× 35 0.3× 137 2.6× 194 5.1× 37 1.1× 40 430
J. Colville Ireland 6 117 1.0× 53 0.5× 67 1.3× 147 3.9× 36 1.1× 9 309
Kedar Sharbidre United States 10 74 0.6× 58 0.5× 33 0.6× 103 2.7× 25 0.7× 23 234
Karen L. Xie United States 9 75 0.6× 104 0.9× 40 0.8× 127 3.3× 5 0.1× 27 308

Countries citing papers authored by Chae Hong Lim

Since Specialization
Citations

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

Fields of papers citing papers by Chae Hong Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chae Hong Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Chae Hong Lim. A scholar is included among the top collaborators of Chae Hong Lim 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 Chae Hong Lim. Chae Hong Lim 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, Eun Ji, Chae Hong Lim, Jin‐Kyoung Oh, & Joon Young Choi. (2025). 18F-FDG PET/CT for Oncological Patients: Procedural Guideline by the Korean Society of Nuclear Medicine Version 2.0. Nuclear Medicine and Molecular Imaging. 59(6). 377–388. 1 indexed citations
3.
Park, Yongjin, et al.. (2024). 18F-FDG PET/CT in Inflammation and Infection: Procedural Guideline by the Korean Society of Nuclear Medicine. Nuclear Medicine and Molecular Imaging. 59(1). 27–40.
4.
Choi, Joon Young, Sang‐Keun Woo, Chae Hong Lim, et al.. (2024). Prognostic Value of Radiomic Analysis Using Pre- and Post-Treatment 18F-FDG-PET/CT in Patients with Laryngeal Cancer and Hypopharyngeal Cancer. Journal of Personalized Medicine. 14(1). 71–71. 2 indexed citations
5.
Park, Soo Bin, Chae Hong Lim, Dong‐Il Chun, et al.. (2024). The usefulness of quantitative 99mTc-HMPAO WBC SPECT/CT for predicting lower extremity amputation in diabetic foot infection. Scientific Reports. 14(1). 9260–9260. 3 indexed citations
6.
Lim, Chae Hong, Joon Young Choi, Jun Hee Lee, et al.. (2023). Development and External Validation of 18F-FDG PET-Based Radiomic Model for Predicting Pathologic Complete Response after Neoadjuvant Chemotherapy in Breast Cancer. Cancers. 15(15). 3842–3842. 5 indexed citations
8.
Jin, Hyun Jung, et al.. (2023). Metabolic bulk volume predicts survival in a homogeneous cohort of stage II/III diffuse large B-cell lymphoma patients undergoing R-CHOP treatment. Frontiers in Oncology. 13. 1186311–1186311. 4 indexed citations
10.
Lim, Chae Hong, Young Wha Koh, Seung Hyup Hyun, & Su Jin Lee. (2022). A Machine Learning Approach Using PET/CT-based Radiomics for Prediction of PD-L1 Expression in Non-small Cell Lung Cancer. Anticancer Research. 42(12). 5875–5884. 14 indexed citations
11.
Lim, Chae Hong, Hyun‐Sook Kim, Kyung‐Ann Lee, Jong‐Sun Kim, & Soo Bin Park. (2022). Clinical significance of quantitative bone SPECT/CT in the evaluation of hand and wrist pain in patients with rheumatic disease. Scientific Reports. 12(1). 327–327. 4 indexed citations
12.
13.
Lim, Chae Hong, Sang Eun Yoon, Won Seog Kim, Kyung-Han Lee, & Seok Jin Kim. (2021). Imaging Features and Prognostic Value of FDG PET/CT in Patients with Intravascular Large B-Cell Lymphoma. Cancer Management and Research. Volume 13. 7289–7297. 4 indexed citations
14.
Lim, Chae Hong, Sang Eun Yoon, Seok Jin Kim, et al.. (2021). Metabolic activity of extranodal NK/T cell lymphoma on 18F-FDG PET/CT according to immune subtyping. Scientific Reports. 11(1). 5879–5879. 7 indexed citations
15.
Lim, Chae Hong, Seung Hyup Hyun, Seung Hwan Moon, et al.. (2020). Comparison of the prognostic values of 18F-fluorodeoxyglucose parameters from colon and non-colon sites of involvement in diffuse large B-cell lymphoma of the colon. Scientific Reports. 10(1). 12748–12748. 3 indexed citations
16.
Lim, Chae Hong, Seung Hwan Moon, Young Seok Cho, et al.. (2019). Prognostic value of 18F-fluorodeoxyglucose positron emission tomography/computed tomography in patients with combined hepatocellular-cholangiocarcinoma. European Journal of Nuclear Medicine and Molecular Imaging. 46(8). 1705–1712. 12 indexed citations
17.
Lim, Chae Hong, et al.. (2019). Evaluation of a diagnostic 18F-FDG PET/CT strategy for differentiating benign from malignant retroperitoneal soft-tissue masses. Clinical Radiology. 74(3). 207–215. 7 indexed citations
18.
Lim, Chae Hong, et al.. (2019). Tumor SUVs on 18F-FDG PET/CT and Aggressive Pathological Features in Esophageal Squamous Cell Carcinoma. Clinical Nuclear Medicine. 45(3). e128–e133. 12 indexed citations
19.
Kim, Soo‐Jeong, Chae Hong Lim, Young Seok Cho, et al.. (2016). Intra-patient Variability of FDG Standardized Uptake Values in Mediastinal Blood Pool, Liver, and Myocardium during R-CHOP Chemotherapy in Patients with Diffuse Large B-cell Lymphoma. Nuclear Medicine and Molecular Imaging. 50(4). 300–307. 8 indexed citations
20.
Cho, Dae Sung, et al.. (2014). The Initial Experience of Pneumovesicoscopic Bladder Stone Removal Using a Laparoscopic Entrapment Sac. Urology. 84(5). 1234–1239. 5 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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