Won Gu Kim
Impact in
-
- Thyroid Cancer Diagnosis and Treatment
- Thyroid Disorders and Treatments
- Surgery top 1%
- Thyroid and Parathyroid Surgery
- Head and Neck Anomalies
Papers in
-
- Thyroid Cancer Diagnosis and Treatment 169
- Thyroid Disorders and Treatments 36
- Pituitary Gland Disorders and Treatments 14
- Surgery 89
- Thyroid and Parathyroid Surgery 59
- Head and Neck Anomalies 42
- Co-authors
- Tae Yong KimWon Bae KimYoung Kee ShongMin Ji JeonSuck Joon HongDong Eun SongHyemi KwonMijin Kim
- Journals
- Thyroid (49 papers)Clinical Endocrinology (16 papers)The Journal of Clinical Endocrinology & Metabolism (8 papers)European Journal of Endocrinology (6 papers)Annals of Surgical Oncology (5 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Won Gu Kim
215 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 117
- Endocrinology, Diabetes and Metabolism 4.3k
- Surgery 2.2k
- Anatomy 68
- Pathology and Forensic Medicine 690
- Oncology 1.0k
Countries citing papers authored by Won Gu Kim
This map shows the geographic impact of Won Gu 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 Gu 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 Gu Kim more than expected).
Fields of papers citing papers by Won Gu Kim
This network shows the impact of papers produced by Won Gu 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 Gu Kim. The network helps show where Won Gu Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Won Gu 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 | 2024 | 6 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 11 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 4 | |
| 12 | 2019 | 12 | |
| 13 | 2019 | 15 | |
| 14 | 2018 | 22 | |
| 15 | 2017 | 82 | |
| 16 | 2017 | 12 | |
| 17 | 2016 | 10 | |
| 18 | 2016 | 2 | |
| 19 | 2016 | 13 | |
| 20 | 2008 | 164 |
About Won Gu Kim
Won Gu Kim is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 225 papers that have together received 5.6k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (169 papers), Thyroid and Parathyroid Surgery (59 papers), Head and Neck Anomalies (42 papers), Thyroid Disorders and Treatments (36 papers), BRCA gene mutations in cancer (19 papers), Neuroendocrine Tumor Research Advances (18 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Pituitary Gland Disorders and Treatments (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.3k citations), Surgery (2.2k citations), Anatomy (68 citations), Pathology and Forensic Medicine (690 citations) and Oncology (1.0k citations). Won Gu Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Tae Yong Kim, Won Bae Kim, Young Kee Shong, Min Ji Jeon, Suck Joon Hong, Dong Eun Song, Hyemi Kwon, Mijin Kim, Tae‐Yon Sung and Hye‐Seon Oh. Their work appears in journals such as Thyroid, Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology 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.