Tae-Kyung Yoo

1.1k total citations
81 papers, 665 citations indexed

About

Tae-Kyung Yoo is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Tae-Kyung Yoo has authored 81 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Cancer Research, 38 papers in Oncology and 25 papers in Pathology and Forensic Medicine. Recurrent topics in Tae-Kyung Yoo's work include Breast Cancer Treatment Studies (46 papers), Breast Lesions and Carcinomas (22 papers) and Breast Implant and Reconstruction (14 papers). Tae-Kyung Yoo is often cited by papers focused on Breast Cancer Treatment Studies (46 papers), Breast Lesions and Carcinomas (22 papers) and Breast Implant and Reconstruction (14 papers). Tae-Kyung Yoo collaborates with scholars based in South Korea, United States and Puerto Rico. Tae-Kyung Yoo's co-authors include Wonshik Han, Hyeong‐Gon Moon, Dong‐Young Noh, Woo Chan Park, Byung Joo Chae, Han‐Byoel Lee, Jong-Jin Kim, Jisun Kim, Min Kyoon Kim and Eun-Shin Lee and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Tae-Kyung Yoo

69 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tae-Kyung Yoo South Korea 16 360 327 160 119 118 81 665
Christina Finlayson United States 13 303 0.8× 288 0.9× 158 1.0× 89 0.7× 117 1.0× 29 634
Gennaro Limite Italy 11 320 0.9× 392 1.2× 119 0.7× 80 0.7× 91 0.8× 32 674
Bianca Lederer Germany 13 348 1.0× 415 1.3× 147 0.9× 119 1.0× 61 0.5× 39 646
Andrew P. Sciallis United States 15 172 0.5× 254 0.8× 121 0.8× 162 1.4× 96 0.8× 39 770
Preeti Sudheendra United States 5 367 1.0× 355 1.1× 114 0.7× 137 1.2× 53 0.4× 22 673
Heung Kyu Park South Korea 12 337 0.9× 331 1.0× 135 0.8× 103 0.9× 88 0.7× 38 600
Armando Orlandi Italy 17 248 0.7× 519 1.6× 145 0.9× 248 2.1× 124 1.1× 90 879
Alexandre Bodmer Switzerland 14 259 0.7× 344 1.1× 107 0.7× 94 0.8× 47 0.4× 49 692
Nirmala Pathmanathan Australia 14 273 0.8× 245 0.7× 152 0.9× 63 0.5× 49 0.4× 40 553
Shinobu Masuda Japan 16 412 1.1× 496 1.5× 207 1.3× 242 2.0× 115 1.0× 88 933

Countries citing papers authored by Tae-Kyung Yoo

Since Specialization
Citations

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

Fields of papers citing papers by Tae-Kyung Yoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae-Kyung Yoo. 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 Tae-Kyung Yoo. The network helps show where Tae-Kyung Yoo may publish in the future.

Co-authorship network of co-authors of Tae-Kyung Yoo

This figure shows the co-authorship network connecting the top 25 collaborators of Tae-Kyung Yoo. A scholar is included among the top collaborators of Tae-Kyung Yoo 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 Tae-Kyung Yoo. Tae-Kyung Yoo 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
1.
Yoo, Tae-Kyung, Sae Byul Lee, Jisun Kim, et al.. (2025). Prognostic value of residual cancer burden after neoadjuvant chemotherapy in breast cancer: a comprehensive subtype-specific analysis. Scientific Reports. 15(1). 13977–13977. 1 indexed citations
2.
Yoo, Tae-Kyung, et al.. (2025). Feasibility of de-escalating axillary surgery in patients with clinical N2–3, pathological N0 breast cancer after neoadjuvant chemotherapy. Scientific Reports. 15(1). 11128–11128. 1 indexed citations
3.
Han, Hyun Ho, Jin Sup Eom, Tae-Kyung Yoo, et al.. (2024). Evaluation of safety and operative time in tumescent-free robotic nipple-sparing mastectomy: a retrospective single-center cohort study. Annals of Surgical Treatment and Research. 107(1). 8–8. 1 indexed citations
4.
5.
Hyung, Jaewon, Sangwon Han, Jae Ho Jeong, et al.. (2024). Impact of18F-FES PET/CT on Clinical Decisions in the Management of Recurrent or Metastatic Breast Cancer. Journal of Nuclear Medicine. 65(11). 1689–1694. 2 indexed citations
6.
Jeong, Jae Ho, Jinhong Jung, Tae-Kyung Yoo, et al.. (2023). Waiting Time for Breast Cancer Treatment in Korea: A Nationwide Cohort Study. Journal of Breast Cancer. 26(4). 334–334. 2 indexed citations
7.
Kang, Jun, et al.. (2023). Case 10: A 30-Year-Old Woman With Breast Mass and Family History of Cancer. Journal of Korean Medical Science. 38(18). e138–e138.
8.
Lee, Yong Joon, Jee Ye Kim, Seung Hyuck Jeon, et al.. (2022). CD39 + tissue-resident memory CD8 + T cells with a clonal overlap across compartments mediate antitumor immunity in breast cancer. Science Immunology. 7(74). eabn8390–eabn8390. 34 indexed citations
9.
Paik, Nam Sun, Eun Sook Lee, Jung Eun Choi, et al.. (2022). Low incidence of lymph node metastasis in patients with microinvasive breast cancer: a Korean nationwide study. Annals of Surgical Treatment and Research. 102(6). 306–306. 3 indexed citations
10.
Yoo, Tae-Kyung, Ahwon Lee, Jun Kang, et al.. (2022). Avoiding unnecessary intraoperative sentinel lymph node frozen section biopsy of patients with early breast cancer. Annals of Surgical Treatment and Research. 102(5). 241–241. 4 indexed citations
11.
Baek, Jong Min, et al.. (2021). Impact of the COVID-19 Pandemic on the Diagnosis and Surgery of Breast Cancer: A Multi-Institutional Study. Journal of Breast Cancer. 24(6). 491–491. 21 indexed citations
12.
Yoon, Chang Ik, Tae-Kyung Yoo, Eun Sook Lee, et al.. (2021). Analysis of risk factors associated with survival in human epidermal growth factor receptor 2-positive ductal carcinoma in situ using Korean Breast Cancer Society Database. Annals of Surgical Treatment and Research. 101(6). 315–315. 3 indexed citations
13.
Yoo, Tae-Kyung, Han‐Byoel Lee, Sung Mi Jung, et al.. (2021). Clinical Features of Breast Cancer in South Korean Patients with Germline TP53 Gene Mutations. Journal of Breast Cancer. 24(2). 175–175. 9 indexed citations
14.
15.
Yoo, Tae-Kyung, Bong Joo Kang, Sung Hun Kim, et al.. (2020). Axillary lymph node dissection is not obligatory in breast cancer patients with biopsy-proven axillary lymph node metastasis. Breast Cancer Research and Treatment. 181(2). 403–409. 12 indexed citations
16.
Jung, Sung Mi, Jai Min Ryu, Hyung Seok Park, et al.. (2020). Trends in Risk-Reducing Mastectomy and Risk-Reducing Salpingo-Oophorectomy in Korean Carriers of the BRCA1/2 Mutation. Journal of Breast Cancer. 23(6). 647–647. 15 indexed citations
17.
Lee, Jieun, et al.. (2019). Notch1 in Tumor Microvascular Endothelial Cells and Tumoral miR-34a as Prognostic Markers in Locally Advanced Triple-Negative Breast Cancer. Journal of Breast Cancer. 22(4). 562–562. 12 indexed citations
18.
Kim, Hyung‐Suk, Tae-Kyung Yoo, Woo Chan Park, & Byung Joo Chae. (2019). Potential Benefits of Neoadjuvant Chemotherapy in Clinically Node-Positive Luminal Subtype−Breast Cancer. Journal of Breast Cancer. 22(3). 412–412. 12 indexed citations
19.
Kim, Hyung‐Suk, et al.. (2019). Omission of Chemotherapy for the Treatment of Mucinous Breast Cancer: A Nationwide Study from the Korean Breast Cancer Society. Journal of Breast Cancer. 22(4). 599–599. 12 indexed citations
20.
Lee, Seung Jae, et al.. (2018). A Case of Synchronous Lung Squamous Cell Carcinoma and Diffuse Large B-cell Lymphoma. Korean Journal of Medicine. 93(3). 300–305.

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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