Dong Eun Song
Impact in
-
- Thyroid Cancer Diagnosis and Treatment
- Pituitary Gland Disorders and Treatments
- Surgery top 1%
- Head and Neck Anomalies
- Thyroid and Parathyroid Surgery
- Salivary Gland Tumors Diagnosis and Treatment
Papers in
-
- Thyroid Cancer Diagnosis and Treatment 126
- Surgery 114
- Head and Neck Anomalies 53
- Thyroid and Parathyroid Surgery 47
- Salivary Gland Tumors Diagnosis and Treatment 15
- Adrenal and Paraganglionic Tumors 12
- Co-authors
- Tae Yong KimYoung Kee ShongWon Bae KimJung Hwan BaekWon Gu KimMin Ji JeonJeong Hyun LeeSuck Joon Hong
- Journals
- Thyroid (28 papers)Clinical Endocrinology (10 papers)European Radiology (7 papers)Korean Journal of Radiology (7 papers)Annals of Surgical Oncology (6 papers)
- Partner nations
- South KoreaChinaUnited States
In The Last Decade
Dong Eun Song
186 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 106
- Endocrinology, Diabetes and Metabolism 3.0k
- Surgery 2.5k
- Oncology 647
- Anatomy 32
- Reproductive Medicine 188
Countries citing papers authored by Dong Eun Song
This map shows the geographic impact of Dong Eun 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 Dong Eun Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Eun Song more than expected).
Fields of papers citing papers by Dong Eun Song
This network shows the impact of papers produced by Dong Eun 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 Dong Eun Song. The network helps show where Dong Eun Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong Eun Song, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 9 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 9 | |
| 14 | 2017 | 12 | |
| 15 | 2017 | 73 | |
| 16 | 2017 | 42 | |
| 17 | 2016 | 13 | |
| 18 | 2015 | 11 | |
| 19 | Development of an artificial tracheal prosthesis: A semicircular shape polyurethane scaffold | 2011 | 7 |
| 20 | A case of primary effusion lymphoma | 2008 | 1 |
About Dong Eun Song
Dong Eun Song is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Reproductive Medicine, Anatomy and Oncology, having authored 195 papers that have together received 4.3k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (126 papers), Head and Neck Anomalies (53 papers), Thyroid and Parathyroid Surgery (47 papers), BRCA gene mutations in cancer (15 papers), Salivary Gland Tumors Diagnosis and Treatment (15 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Adrenal and Paraganglionic Tumors (12 papers) and Ovarian cancer diagnosis and treatment (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.0k citations), Surgery (2.5k citations), Oncology (647 citations), Anatomy (32 citations) and Reproductive Medicine (188 citations). Dong Eun Song has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Tae Yong Kim, Young Kee Shong, Won Bae Kim, Jung Hwan Baek, Won Gu Kim, Min Ji Jeon, Jeong Hyun Lee, Suck Joon Hong, Tae‐Yon Sung and Hyemi Kwon. Their work appears in journals such as Thyroid, Clinical Endocrinology, European Radiology, Korean Journal of Radiology and Annals of Surgical Oncology.
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.