Won Bae Kim
- Endocrinology, Diabetes and Metabolism top 0.05%
- Thyroid Cancer Diagnosis and Treatment 217
- Thyroid Disorders and Treatments 54
- Pituitary Gland Disorders and Treatments 18
- Surgery top 0.5%
- Thyroid and Parathyroid Surgery 79
- Head and Neck Anomalies 57
- Health Informatics top 1%
- Anatomy top 0.1%
- Genetics top 1%
- BRCA gene mutations in cancer 27
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- Neuroendocrine Tumor Research Advances 23
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- Radiomics and Machine Learning in Medical Imaging 17
- Co-authors
- Young Kee ShongTae Yong KimSuck Joon HongWon Gu KimMin Ji JeonGyungyub GongDong Eun SongJung Hwan Baek
- Journals
- Thyroid (56 papers)Clinical Endocrinology (27 papers)The Journal of Clinical Endocrinology & Metabolism (14 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Won Bae Kim
448 papers receiving 12.7k citations
Peers
Comparison fields: 5 of 202
- Endocrinology, Diabetes and Metabolism 7.7k
- Surgery 4.4k
- Health Informatics 123
- Anatomy 112
- Genetics 1.5k
Countries citing papers authored by Won Bae Kim
This map shows the geographic impact of Won Bae Kim'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 Bae Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Bae Kim more than expected).
Fields of papers citing papers by Won Bae Kim
This network shows the impact of papers produced by Won Bae Kim. 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 Bae Kim. The network helps show where Won Bae Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Won Bae Kim, 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 | 3 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 14 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 4 | |
| 12 | 2019 | 12 | |
| 13 | 2019 | 6 | |
| 14 | 2019 | 15 | |
| 15 | 2018 | 22 | |
| 16 | 2017 | 82 | |
| 17 | 2017 | 12 | |
| 18 | 2016 | 10 | |
| 19 | 2016 | 2 | |
| 20 | 2008 | 164 |
About Won Bae Kim
Won Bae Kim is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 479 papers that have together received 13.1k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (217 papers), Thyroid and Parathyroid Surgery (79 papers), Head and Neck Anomalies (57 papers), Thyroid Disorders and Treatments (54 papers), BRCA gene mutations in cancer (27 papers), Neuroendocrine Tumor Research Advances (23 papers), Pituitary Gland Disorders and Treatments (18 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (7.7k citations), Surgery (4.4k citations), Health Informatics (123 citations), Anatomy (112 citations) and Genetics (1.5k citations). Won Bae Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Young Kee Shong, Tae Yong Kim, Suck Joon Hong, Won Gu Kim, Min Ji Jeon, Gyungyub Gong, Dong Eun Song, Jung Hwan Baek, Tae‐Yon Sung and Hyemi Kwon. Their work appears in journals such as Thyroid, Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, PLoS ONE and Journal of Clinical 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.