Eun-Shin Lee

406 total citations
26 papers, 171 citations indexed

About

Eun-Shin Lee is a scholar working on Cancer Research, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Eun-Shin Lee has authored 26 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cancer Research, 12 papers in Pathology and Forensic Medicine and 7 papers in Genetics. Recurrent topics in Eun-Shin Lee's work include Breast Cancer Treatment Studies (15 papers), Breast Lesions and Carcinomas (10 papers) and Cancer Genomics and Diagnostics (5 papers). Eun-Shin Lee is often cited by papers focused on Breast Cancer Treatment Studies (15 papers), Breast Lesions and Carcinomas (10 papers) and Cancer Genomics and Diagnostics (5 papers). Eun-Shin Lee collaborates with scholars based in South Korea, Ethiopia and United States. Eun-Shin Lee's co-authors include Hyeong‐Gon Moon, Wonshik Han, Tae-Kyung Yoo, Dong‐Young Noh, Jong-Jin Kim, Min Kyoon Kim, Han‐Byoel Lee, Jisun Kim, Nariya Cho and Seock‐Ah Im and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Eun-Shin Lee

19 papers receiving 166 citations

Peers

Eun-Shin Lee

ONCOL

PFM

SURGE

Carolyn S. Menendez United States

Samira Kamrudin United States

Jane Banerji United Kingdom

Dirk-Michael Zahm Germany

Andrea Stefek Germany

Paula Cabrera‐Galeana Mexico

John Hackmann Germany

Stephanie Akbari United States

Juan Martínez Spain

Alessandra Margherita De Scalzi Italy

Carolyn S. Menendez United States

Eun-Shin Lee

94 ×0.8

72 ×0.8

ONCOL

52 ×1.1

PFM

19 ×0.8

19 ×0.9

SURGE

Citations per year, relative to Eun-Shin Lee Eun-Shin Lee (= 1×) peers Carolyn S. Menendez

Countries citing papers authored by Eun-Shin Lee

Since Specialization

Citations

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

Fields of papers citing papers by Eun-Shin Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun-Shin Lee. 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 Eun-Shin Lee. The network helps show where Eun-Shin Lee may publish in the future.

Co-authorship network of co-authors of Eun-Shin Lee

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lee, Eun-Shin. (2025). Recent Advances in Malignant Phyllodes Tumors of the Breast. Journal of Breast Cancer. 28(2). 51–51.

Hwang, Jinha, Seung Gyu Yun, Jinseob Kim, et al.. (2025). Impact of germline BRCA1/2 mutations on response to neoadjuvant systemic therapy and prognosis in breast cancer: a propensity score matched cohort study. Breast Cancer Research. 27(1). 89–89.

Kim, Joo Heung, Sae Byul Lee, Jung Eun Choi, et al.. (2024). Trends in Operation Times for Robot-assisted Nipple-sparing Mastectomy Performed by Expert Breast Surgeons. 5(1). 1–1.

Lee, Woochan, Eun-Shin Lee, Hoe Suk Kim, et al.. (2023). Triple-Negative Breast Cancer-Derived Extracellular Vesicles Promote a Hepatic Premetastatic Niche via a Cascade of Microenvironment Remodeling. Molecular Cancer Research. 21(7). 726–740. 6 indexed citations

Lee, Eun-Shin, Ki‐Tae Hwang, Jun Won Min, et al.. (2023). Diagnostic accuracy of a three-protein signature in women with suspicious breast lesions: a multicenter prospective trial. Breast Cancer Research. 25(1). 20–20. 3 indexed citations

Lee, Ji Won, Ji Young You, Eun-Shin Lee, et al.. (2023). Therapy-related myeloid neoplasm in early breast cancer patients treated with adjuvant chemotherapy. European Journal of Cancer. 191. 112952–112952. 4 indexed citations

Sim, Jongmin, Ji Young You, Eun-Shin Lee, et al.. (2022). Omission of chemotherapy for hormone receptor-positive and human epidermal growth factor receptor 2-negative breast cancer: patterns of treatment and outcomes from the Korean Breast Cancer Society Registry. Annals of Surgical Treatment and Research. 103(6). 313–313. 1 indexed citations

Park, Jung Hyun, et al.. (2022). A nomogram for predicting three or more axillary lymph node involvement before breast cancer surgery. Scientific Reports. 12(1). 12141–12141.

Lee, Eun-Shin, Deukchae Na, Wonyoung Kang, et al.. (2022). An integrative approach for exploring the nature of fibroepithelial neoplasms. British Journal of Cancer. 128(4). 626–637. 5 indexed citations

10.

Kim, Youngjin, Eun-Shin Lee, Han‐Byoel Lee, et al.. (2019). Immediate Breast Reconstruction vs. Mastectomy Alone in Locally Advanced Breast Cancer; Local Recurrence and Distant Recurrence. 7(2). 89–96. 2 indexed citations

11.

Nam, Yun-Ja, et al.. (2019). Survey of Brassiere Related Clothing Tendency for Mastectomy Patients. Fashion & Textile Research Journal. 21(6). 800–812. 2 indexed citations

12.

Yoo, Shin Hye, Tae‐Yong Kim, Miso Kim, et al.. (2019). Development of a Nomogram to Predict the Recurrence Score of 21-Gene Prediction Assay in Hormone Receptor–Positive Early Breast Cancer. Clinical Breast Cancer. 20(2). 98–107.e1. 19 indexed citations

13.

Lee, Kyung-Hun, Tae‐Yong Kim, Seock‐Ah Im, et al.. (2017). Actual Conversion Rate from Total Mastectomy to Breast Conservation after Neoadjuvant Chemotherapy for Stages II–III Breast Cancer Patients. 5(2). 51–56. 4 indexed citations

14.

Ahn, Soo Kyung, Min Kyoon Kim, Jong-Jin Kim, et al.. (2017). Can We Skip Intraoperative Evaluation of Sentinel Lymph Nodes? Nomogram Predicting Involvement of Three or More Axillary Lymph Nodes before Breast Cancer Surgery. Cancer Research and Treatment. 49(4). 1088–1096. 23 indexed citations

15.

Lee, Eun-Shin, Wonshik Han, Min Kyoon Kim, et al.. (2016). Factors associated with late recurrence after completion of 5-year adjuvant tamoxifen in estrogen receptor positive breast cancer. BMC Cancer. 16(1). 430–430. 15 indexed citations

16.

Yoo, Tae-Kyung, Jun Won Min, Min Kyoon Kim, et al.. (2015). In Vivo Tumor Growth Rate Measured by US in Preoperative Period and Long Term Disease Outcome in Breast Cancer Patients. PLoS ONE. 10(12). e0144144–e0144144. 22 indexed citations

17.

Yoo, Tae-Kyung, Wonshik Han, Hyeong‐Gon Moon, et al.. (2015). Delay of Treatment Initiation Does Not Adversely Affect Survival Outcome in Breast Cancer. Cancer Research and Treatment. 48(3). 962–969. 32 indexed citations

18.

Kim, Min Kyoon, Hyeong‐Gon Moon, Tae-Kyung Yoo, et al.. (2015). Prognostic effect of PgR in luminal type breast cancer.. Journal of Clinical Oncology. 33(15_suppl). e11566–e11566.

19.

Lee, Eun-Shin, et al.. (2008). Pyogenic Sacroiliitis with Psoas Abscess -A case report-. Annals of Rehabilitation Medicine. 32(4). 465–468. 1 indexed citations

20.

Lee, Eun-Shin, et al.. (2003). A Case of Acrocallosal Syndrome with Developmental Delay -A case report-. Annals of Rehabilitation Medicine. 27(6). 32–999.

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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