Sun Wook Kim

7.3k total citations
215 papers, 4.9k citations indexed

About

Sun Wook Kim is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Sun Wook Kim has authored 215 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 181 papers in Endocrinology, Diabetes and Metabolism, 69 papers in Surgery and 36 papers in Genetics. Recurrent topics in Sun Wook Kim's work include Thyroid Cancer Diagnosis and Treatment (153 papers), Thyroid Disorders and Treatments (59 papers) and Thyroid and Parathyroid Surgery (40 papers). Sun Wook Kim is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (153 papers), Thyroid Disorders and Treatments (59 papers) and Thyroid and Parathyroid Surgery (40 papers). Sun Wook Kim collaborates with scholars based in South Korea, United States and Japan. Sun Wook Kim's co-authors include Jae Hoon Chung, Tae Hyuk Kim, Hye Won Jang, Young Lyun Oh, Hye Jeong Kim, Jung Hee Shin, Seo Young Sohn, Chang‐Seok Ki, Yong‐Ki Min and Hye In Kim and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Cancer.

In The Last Decade

Sun Wook Kim

196 papers receiving 4.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sun Wook Kim South Korea 36 4.0k 1.7k 835 693 579 215 4.9k
Gary L. Francis United States 34 3.4k 0.9× 1.7k 1.0× 830 1.0× 804 1.2× 955 1.6× 100 5.2k
Andrew J. Bauer United States 27 3.0k 0.8× 1.5k 0.9× 487 0.6× 535 0.8× 696 1.2× 111 4.4k
M. Sara Rosenthal United States 12 3.1k 0.8× 879 0.5× 758 0.9× 519 0.7× 527 0.9× 27 3.9k
Bo Hyun Kim South Korea 30 1.3k 0.3× 805 0.5× 490 0.6× 200 0.3× 516 0.9× 237 3.4k
Takumi Kudo Japan 33 2.3k 0.6× 1.0k 0.6× 229 0.3× 310 0.4× 374 0.6× 124 2.9k
Donald S.A. McLeod Australia 25 1.4k 0.4× 476 0.3× 351 0.4× 337 0.5× 417 0.7× 87 2.9k
Hyemi Kwon South Korea 29 1.9k 0.5× 935 0.5× 327 0.4× 301 0.4× 317 0.5× 108 2.5k
Carlo Cappelli Italy 30 2.2k 0.6× 1.1k 0.6× 186 0.2× 276 0.4× 323 0.6× 152 3.0k
Peter E. Goretzki Germany 32 1.4k 0.4× 1.2k 0.7× 968 1.2× 403 0.6× 529 0.9× 166 3.3k
Jorma Salmi Finland 27 1.2k 0.3× 1.5k 0.9× 2.1k 2.6× 712 1.0× 1.7k 3.0× 55 5.6k

Countries citing papers authored by Sun Wook Kim

Since Specialization
Citations

This map shows the geographic impact of Sun Wook 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 Sun Wook Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Wook Kim more than expected).

Fields of papers citing papers by Sun Wook Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun Wook 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 Sun Wook Kim. The network helps show where Sun Wook Kim may publish in the future.

Co-authorship network of co-authors of Sun Wook Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sun Wook Kim. A scholar is included among the top collaborators of Sun Wook Kim 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 Sun Wook Kim. Sun Wook Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Kim, Hye In, Jae J. Kim, Jung Hwan Cho, et al.. (2024). Triiodothyronine Is Associated with Incidence/Resolution of Steatotic Liver Disease: Longitudinal Study in Euthyroid Korean. Endocrinology and Metabolism. 40(1). 135–145.
4.
Oh, Hyun‐Kyung, Jae Hoon Chung, Sun Wook Kim, et al.. (2023). Association between urinary iodine concentration and the risk of papillary thyroid cancer by sex and age: a case–control study. Scientific Reports. 13(1). 2041–2041. 3 indexed citations
6.
Park, Hyunju, Jung‐Sun Kim, Young Lyun Oh, et al.. (2022). Frequency of TERT Promoter Mutations in Real-World Analysis of 2,092 Thyroid Carcinoma Patients. Endocrinology and Metabolism. 37(4). 652–663. 26 indexed citations
7.
Jeon, Min Ji, Yea Eun Kang, Jae Hoon Moon, et al.. (2021). Protocol for a Korean Multicenter Prospective Cohort Study of Active Surveillance or Surgery (KoMPASS) in Papillary Thyroid Microcarcinoma. Endocrinology and Metabolism. 36(2). 359–364. 17 indexed citations
8.
Ahn, Soomin, Tae Hyuk Kim, Sun Wook Kim, et al.. (2017). Comprehensive screening for PD-L1 expression in thyroid cancer. Endocrine Related Cancer. 24(2). 97–106. 133 indexed citations
9.
Kim, Won Gu, Won Bae Kim, Hye-Jin Kim, et al.. (2017). Thyroid Stimulating Hormone Reference Range and Prevalence of Thyroid Dysfunction in the Korean Population: Korea National Health and Nutrition Examination Survey 2013 to 2015. Endocrinology and Metabolism. 32(1). 106–106. 82 indexed citations
10.
Jeon, Min Ji, Won Gu Kim, Tae Hyuk Kim, et al.. (2017). Disease-Specific Mortality of Differentiated Thyroid Cancer Patients in Korea: A Multicenter Cohort Study. Endocrinology and Metabolism. 32(4). 434–434. 30 indexed citations
11.
Kim, Hosu, Tae Hyuk Kim, Hye In Kim, et al.. (2017). Subclinical thyroid dysfunction and risk of carotid atherosclerosis. PLoS ONE. 12(7). e0182090–e0182090. 18 indexed citations
12.
Yi, Ka Hee, Soo Young Kim, Do‐Hoon Kim, et al.. (2015). The Korean guideline for thyroid cancer screening. Journal of Korean Medical Association. 58(4). 302–302. 25 indexed citations
13.
Jung, Tae Sik, Hee Kyung Kim, Jung Hwa Jung, et al.. (2011). Tumor Size Is Still a Useful Prognostic Factor for the Therapeutic Plan of Papillary Thyroid Carcinoma. 4(1). 47–53. 4 indexed citations
14.
Kim, Hee Kyung, Young Lyun Oh, Seok‐Hyung Kim, et al.. (2011). Parafibromin immunohistochemical staining to differentiate parathyroid carcinoma from parathyroid adenoma. Head & Neck. 34(2). 201–206. 42 indexed citations
15.
Kim, Eun Young, et al.. (2005). A Detection Method for the BRAF Mutations in Fine Needle Aspiration Biopsy in Thyroid Cancer Patient. 223–223.
16.
Kim, Sun Wook, et al.. (2003). Laboratory Evaluation of Thrombophilic Factor in Retinal Vein Occlusive Disease. Journal of the Korean Ophthalmological Society. 44(9). 2004–2009.
17.
Kang, Keon Wook, Seok-Ki Kim, Han‐Sung Kang, et al.. (2003). Prevalence and Risk of Cancer of Focal Thyroid Incidentaloma Identified by18F-Fluorodeoxyglucose Positron Emission Tomography for Metastasis Evaluation and Cancer Screening in Healthy Subjects. The Journal of Clinical Endocrinology & Metabolism. 88(9). 4100–4104. 215 indexed citations
18.
Kim, Sun Wook, Tae Yong Kim, Young Joo Park, et al.. (2001). Early Detection of Medullary Thyroid Cancer by Screening of the RET Proto-oncogene Germ Line Point Mutation in Family Members Affected with Hereditary Medullary Thyroid Cancer .. Journal of Korean Endocrine Society. 16(1). 54–64. 1 indexed citations
19.
Kim, Won Bae, Hyun Kyung Chung, Bo Youn Cho, et al.. (2001). Analysis of Prognostic Factors Determining the Recurrences in Patients with Papillary Thyroid Cancer After Surgical Treatment.. Journal of Korean Endocrine Society. 12(3). 421–432.
20.
Lee, Seon Hwa, Hyeon Jeon, Sun Hee Park, et al.. (2001). Diagnosis of Cushing's Disease by Inferior Petrosal Sinus Sampling (IPSS): Evidence of False Negative Results.. Journal of Korean Endocrine Society. 14(3). 483–492.

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.

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