Chang‐Yeol Yim
- Oncology top 10%
- Pathology and Forensic Medicine top 5%
- Immunology top 10%
- Surgery
- Molecular Biology
- Co-authors
- Jae‐Yong KwakWolfram E. SamlowskiJohn B. HibbsNeil R. BastianNa‐Ri LeeEun‐Kee SongMyung‐Hee SohnSeok Tae Lim
- Topics
- Medical Imaging and Pathology Studies (12 papers)Nitric Oxide and Endothelin Effects (7 papers)Lymphoma Diagnosis and Treatment (7 papers)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Chang‐Yeol Yim
71 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 104
- Oncology 304
- Pathology and Forensic Medicine 246
- Immunology 238
- Surgery 172
- Molecular Biology 169
Countries citing papers authored by Chang‐Yeol Yim
This map shows the geographic impact of Chang‐Yeol Yim'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 Chang‐Yeol Yim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang‐Yeol Yim more than expected).
Fields of papers citing papers by Chang‐Yeol Yim
This network shows the impact of papers produced by Chang‐Yeol Yim. 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 Chang‐Yeol Yim. The network helps show where Chang‐Yeol Yim may publish in the future.
Co-authorship network of co-authors of Chang‐Yeol Yim
This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Yeol Yim. A scholar is included among the top collaborators of Chang‐Yeol Yim 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 Chang‐Yeol Yim. Chang‐Yeol Yim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 45 | |
| 3 | 26 | |
| 4 | 20 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 49 | |
| 8 | 5 | |
| 9 | A Giant Hepatic Hemangioma Complicated by Kasabach-Merritt Syndrome: Findings of Tc-99m RBC Scintigraphy and SPECT Including a Total Body Blood Pool Imaging Study. | 0 |
| 10 | 1 | |
| 11 | 5 | |
| 12 | F-18 FDG Uptake in an Eosinophilic Liver Abscess Mimicking Hepatic Metastasis on PET/CT Images. | 1 |
| 13 | Usefulness of F-18 FDG PET/CT in Staging of Peripheral T Cell Lymphoma | 1 |
| 14 | 21 | |
| 15 | 2 | |
| 16 | 11 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | Unusual Tc-99m MDP Uptake in the Keloid Developed after Subtotal Gastrectomy | 0 |
| 20 | 9 |
About Chang‐Yeol Yim
Chang‐Yeol Yim is a scholar working on Hematology, Pathology and Forensic Medicine and Genetics, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Imaging and Pathology Studies (12 papers), Nitric Oxide and Endothelin Effects (7 papers) and Lymphoma Diagnosis and Treatment (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (246 citations), Physiology (54 citations) and Immunology (238 citations). Chang‐Yeol Yim has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Jae‐Yong Kwak, Wolfram E. Samlowski, John B. Hibbs, Neil R. Bastian, Na‐Ri Lee, Eun‐Kee Song, Myung‐Hee Sohn, Seok Tae Lim, Hwan‐Jeong Jeong and Myung‐Kwan Han. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.
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.