Won Bae Kim
Impact in
- Endocrinology, Diabetes and Metabolism top 0.05%
- Thyroid Cancer Diagnosis and Treatment
- Thyroid Disorders and Treatments
- Health Informatics top 1%
Papers in
-
- Thyroid Cancer Diagnosis and Treatment 194
- Thyroid Disorders and Treatments 33
-
- Genomics and Phylogenetic Studies 13
- Biomedical Text Mining and Ontologies 13
- Co-authors
- Young Kee Shong (217 shared papers)Tae Yong Kim (212 shared papers)Suck Joon Hong (78 shared papers)Won Gu Kim (168 shared papers)Min Ji Jeon (148 shared papers)Gyungyub Gong (27 shared papers)Dong Eun Song (75 shared papers)Jung Hwan Baek (49 shared papers)
- Journals
- Thyroid (55 papers)Clinical Endocrinology (27 papers)The Journal of Clinical Endocrinology & Metabolism (14 papers)PLoS ONE (8 papers)Journal of Clinical Oncology (7 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Won Bae Kim
450 papers receiving 12.8k citations
Peers
Comparison fields: 5 of 202
- Endocrinology, Diabetes and Metabolism 7.1k
- Health Informatics 99
- Surgery 2.3k
- Anatomy 68
- Genetics 1.1k
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-authors
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
Showing the 20 most-cited of 479 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 458 | |
| 2 | 2003 | 380 | |
| 3 | 2001 | 213 | |
| 4 | 2006 | 202 | |
| 5 | 2005 | 201 | |
| 6 | 2023 | 197 | |
| 7 | 2005 | 196 | |
| 8 | 2010 | 194 | |
| 9 | 2005 | 191 | |
| 10 | 2011 | 190 | |
| 11 | 2008 | 166 | |
| 12 | 2005 | 163 | |
| 13 | 2003 | 157 | |
| 14 | 2017 | 147 | |
| 15 | 2009 | 144 | |
| 16 | 2018 | 138 | |
| 17 | 2016 | 135 | |
| 18 | 2014 | 106 | |
| 19 | 1999 | 105 | |
| 20 | 2014 | 101 |
About Won Bae Kim
Won Bae Kim is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Genetics and Oncology, having authored 479 papers that have together received 13.2k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (194 papers), Thyroid Disorders and Treatments (33 papers), Thyroid and Parathyroid Surgery (17 papers), Genetic diversity and population structure (14 papers), Topic Modeling (13 papers), Genomics and Phylogenetic Studies (13 papers), Biomedical Text Mining and Ontologies (13 papers) and Head and Neck Anomalies (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (7.1k citations), Health Informatics (99 citations), Surgery (2.3k citations), Anatomy (68 citations) and Genetics (1.1k 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 Jeong Hyun Lee. 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.