Gi Jeong Cheon
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- Medical Imaging Techniques and Applications 78
- Radiomics and Machine Learning in Medical Imaging 56
- Radiopharmaceutical Chemistry and Applications 30
- Cardiac Imaging and Diagnostics 20
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- Lung Cancer Diagnosis and Treatment 25
- Medical Imaging and Pathology Studies 22
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism 24
- Otorhinolaryngology top 2%
- Oncology top 2%
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- Thyroid Cancer Diagnosis and Treatment 20
Gi Jeong Cheon
305 papers receiving 6.7k citations
Peers
Comparison fields: 5 of 156
- Radiology, Nuclear Medicine and Imaging 3.1k
- Pulmonary and Respiratory Medicine 1.8k
- Cancer Research 686
- Otorhinolaryngology 197
- Oncology 1.1k
Countries citing papers authored by Gi Jeong Cheon
This map shows the geographic impact of Gi Jeong Cheon'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 Gi Jeong Cheon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gi Jeong Cheon more than expected).
Fields of papers citing papers by Gi Jeong Cheon
This network shows the impact of papers produced by Gi Jeong Cheon. 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 Gi Jeong Cheon. The network helps show where Gi Jeong Cheon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gi Jeong Cheon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 11 | |
| 10 | 2021 | 32 | |
| 11 | 2020 | 18 | |
| 12 | 2019 | 32 | |
| 13 | 2016 | 38 | |
| 14 | 2016 | 28 | |
| 15 | 2015 | 3 | |
| 16 | Image-Based Assessment and Clinical Significance of Absorbed Radiation Dose to Tumor in Repeated High-Dose 131 I Anti-CD20 Monoclonal Antibody (Rituximab) Radioimmunotherapy for Non-Hodgkin's Lymphoma | 2009 | 1 |
| 17 | Analysis of Urine Iodine Excretion Decrease by Two-Week Stringent Low Iodine Diet for Remnant Thyroid Ablation with Radioactive Iodine in Korean Patients with Thyroid Cancer; Prospective Study. | 2008 | 6 |
| 18 | Patterns of FDG Uptake in Stomach on F-18 FDG Positron Emission Tomography: Correlation with Endoscopic Findings | 2005 | 1 |
| 19 | Findings of F-18 FDG Whole Body PET in Patients with Stomach Cancer | 2001 | 1 |
| 20 | Production of a murine / human chimeric antibody specific for S surface antigen of hepatitis B virus | 1994 | 1 |
About Gi Jeong Cheon
Gi Jeong Cheon is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cancer Research, having authored 324 papers that have together received 6.8k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (78 papers), Radiomics and Machine Learning in Medical Imaging (56 papers), Radiopharmaceutical Chemistry and Applications (30 papers), Lung Cancer Diagnosis and Treatment (25 papers), Cancer, Hypoxia, and Metabolism (24 papers), Medical Imaging and Pathology Studies (22 papers), Cardiac Imaging and Diagnostics (20 papers) and Thyroid Cancer Diagnosis and Treatment (20 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.1k citations), Pulmonary and Respiratory Medicine (1.8k citations) and Cancer Research (686 citations). Gi Jeong Cheon has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Keon Wook Kang, Dong Soo Lee, June-Key Chung, Jin Chul Paeng, Hongyoon Choi, Kyoungjune Pak, E. Edmund Kim, Sang Moo Lim, Hyung‐Jun Im and Tae Sup Lee.
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.