Won Seok Song
- Pulmonary and Respiratory Medicine top 2%
- Surgery top 5%
- Rheumatology top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology top 10%
- Co-authors
- Dae‐Geun JeonSoo‐Yong LeeChang‐Bae KongMin Suk KimWan Hyeong ChoJeong Joon YooHee Joong KimJae‐Soo Koh
- Topics
- Sarcoma Diagnosis and Treatment (71 papers)Bone Tumor Diagnosis and Treatments (47 papers)Cardiac tumors and thrombi (22 papers)
- Partner nations
- South KoreaUnited StatesEgypt
In The Last Decade
Won Seok Song
96 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 95
- Pulmonary and Respiratory Medicine 1.2k
- Surgery 819
- Rheumatology 692
- Radiology, Nuclear Medicine and Imaging 290
- Oncology 244
Countries citing papers authored by Won Seok Song
This map shows the geographic impact of Won Seok Song'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 Won Seok Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Seok Song more than expected).
Fields of papers citing papers by Won Seok Song
This network shows the impact of papers produced by Won Seok Song. 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 Won Seok Song. The network helps show where Won Seok Song may publish in the future.
Co-authorship network of co-authors of Won Seok Song
This figure shows the co-authorship network connecting the top 25 collaborators of Won Seok Song. A scholar is included among the top collaborators of Won Seok Song 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 Won Seok Song. Won Seok Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 14 | |
| 5 | 27 | |
| 6 | 3 | |
| 7 | 55 | |
| 8 | 25 | |
| 9 | 10 | |
| 10 | 27 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | Prognostic significance of ezrin expression in pleomorphic malignant fibrous histiocytoma. | 17 |
| 14 | 21 | |
| 15 | 100 | |
| 16 | 1 | |
| 17 | 62 | |
| 18 | Excessive Wear of a Polyethylene Insert Caused by Incomplete Seating of a Metal Wire Retaining Ring | 2 |
| 19 | The Clinical Characteristics of Dissociated Vertical Deviation Combined with Exotropia | 0 |
| 20 | Morphologic Study of Upper Eyelid Contour and Functional Evaluation of Levator Palpebrae Superioris Muscle in Adult and Young People | 10 |
About Won Seok Song
Won Seok Song is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 105 papers that have together received 2.0k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (71 papers), Bone Tumor Diagnosis and Treatments (47 papers) and Cardiac tumors and thrombi (22 papers). The work is most often cited by research in Rheumatology (692 citations), Pulmonary and Respiratory Medicine (1.2k citations) and Orthopedics and Sports Medicine (223 citations). Won Seok Song has collaborated with scholars based in South Korea, United States and Egypt. Frequent co-authors include Dae‐Geun Jeon, Soo‐Yong Lee, Chang‐Bae Kong, Min Suk Kim, Wan Hyeong Cho, Jeong Joon Yoo, Hee Joong Kim, Jae‐Soo Koh, Ji Young Yoo and Jun Ah Lee. Their work appears in journals such as PLoS ONE, Journal of Bone and Joint Surgery and Clinical Orthopaedics and Related Research.
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.