Jee Ye Kim

2.1k total citations
109 papers, 1.3k citations indexed

About

Jee Ye Kim is a scholar working on Cancer Research, Oncology and Surgery. According to data from OpenAlex, Jee Ye Kim has authored 109 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Cancer Research, 51 papers in Oncology and 35 papers in Surgery. Recurrent topics in Jee Ye Kim's work include Breast Cancer Treatment Studies (43 papers), Breast Lesions and Carcinomas (24 papers) and Breast Implant and Reconstruction (16 papers). Jee Ye Kim is often cited by papers focused on Breast Cancer Treatment Studies (43 papers), Breast Lesions and Carcinomas (24 papers) and Breast Implant and Reconstruction (16 papers). Jee Ye Kim collaborates with scholars based in South Korea, United States and United Kingdom. Jee Ye Kim's co-authors include Hyung Seok Park, Seung Il Kim, Seho Park, Byeong‐Woo Park, Dong Won Lee, Young Up Cho, Joohyuk Sohn, Jeea Lee, Dae Hyun Lew and Joon Jeong and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jee Ye Kim

104 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jee Ye Kim South Korea 20 506 501 478 296 177 109 1.3k
Ashu Gandhi United Kingdom 19 360 0.7× 488 1.0× 430 0.9× 288 1.0× 86 0.5× 50 1.1k
Katherine T. Morris United States 18 954 1.9× 457 0.9× 548 1.1× 238 0.8× 236 1.3× 50 1.5k
Furio Maggiorotto Italy 20 516 1.0× 534 1.1× 342 0.7× 322 1.1× 225 1.3× 44 1.3k
Mahmut Müslümanoğlu Türkiye 24 727 1.4× 651 1.3× 692 1.4× 468 1.6× 222 1.3× 129 1.8k
Caroline Seynaeve Netherlands 16 570 1.1× 378 0.8× 222 0.5× 334 1.1× 118 0.7× 24 1.1k
Antonio Toesca Italy 19 351 0.7× 635 1.3× 597 1.2× 437 1.5× 38 0.2× 43 1.1k
Jean‐Marie Nogaret Belgium 19 514 1.0× 392 0.8× 222 0.5× 172 0.6× 140 0.8× 49 990
Enver Vardar Türkiye 14 242 0.5× 166 0.3× 430 0.9× 288 1.0× 188 1.1× 68 1.2k
Noriaki Wada Japan 20 429 0.8× 485 1.0× 167 0.3× 324 1.1× 190 1.1× 78 1.3k
Qinghai Ji China 22 531 1.0× 256 0.5× 542 1.1× 141 0.5× 394 2.2× 86 1.6k

Countries citing papers authored by Jee Ye Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jee Ye Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jee Ye Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jee Ye Kim. A scholar is included among the top collaborators of Jee Ye 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 Jee Ye Kim. Jee Ye 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
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Kim, Young, et al.. (2024). Tumor-derived EV miRNA signatures surpass total EV miRNA in supplementing mammography for precision breast cancer diagnosis. Theranostics. 14(17). 6587–6604. 7 indexed citations
3.
Kim, Seung Il, et al.. (2024). Potential Use of Extracellular Vesicles for the HER2 Status Assessment in Breast Cancer Patients. Genes Chromosomes and Cancer. 63(10). e23264–e23264. 3 indexed citations
4.
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Lee, Suk Jun, Jee Ye Kim, Hyung Seok Park, et al.. (2023). Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer. Korean Journal of Radiology. 24(5). 384–384. 2 indexed citations
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Park, Hyung Seok, Hye Jin Kim, Dong Min Shin, et al.. (2023). Oncologic Outcomes in Nipple-sparing Mastectomy with Immediate Reconstruction and Total Mastectomy with Immediate Reconstruction in Women with Breast Cancer: A Machine-Learning Analysis. Annals of Surgical Oncology. 30(12). 7281–7290. 5 indexed citations
9.
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
10.
Kim, Jee Ye, Soong June Bae, Yeona Cho, et al.. (2021). The Impact of Post-Mastectomy Radiotherapy on Survival Outcomes in Breast Cancer Patients Who Underwent Neoadjuvant Chemotherapy. Cancers. 13(24). 6205–6205. 5 indexed citations
11.
Kim, Min Woo, Jee Ye Kim, Suji Lee, et al.. (2021). Tumor-Specific miRNA Signatures in Combination with CA19-9 for Liquid Biopsy-Based Detection of PDAC. International Journal of Molecular Sciences. 22(24). 13621–13621. 10 indexed citations
12.
Lim, Sun Min, Eun‐Young Kim, Kyung Hae Jung, et al.. (2021). Genomic landscape of extraordinary responses in metastatic breast cancer. Communications Biology. 4(1). 449–449. 4 indexed citations
13.
Lee, Jeea, Hyung Seok Park, Dong Won Lee, et al.. (2021). Post-Operative Complications and Nipple Necrosis Rates Between Conventional and Robotic Nipple-Sparing Mastectomy. Frontiers in Oncology. 10. 594388–594388. 30 indexed citations
14.
Lee, Chan Hee, Do Kyeong Song, Gil Myoung Kang, et al.. (2020). Primary cilia mediate early life programming of adiposity through lysosomal regulation in the developing mouse hypothalamus. Nature Communications. 11(1). 5772–5772. 41 indexed citations
15.
Kim, Eun Jin, Hyung Seok Park, Jee Ye Kim, et al.. (2020). Assessment of the Prognostic Staging System of American Joint Committee on Cancer 8th Edition for Breast Cancer: Comparisons with the Conventional Anatomic Staging System. Journal of Breast Cancer. 23(1). 59–59. 8 indexed citations
16.
Lee, Won Hee, Jee Suk Chang, Min Jung Kim, et al.. (2020). First Experience in Korea of Stereotactic Partial Breast Irradiation for Low-Risk Early-Stage Breast Cancer. Frontiers in Oncology. 10. 672–672. 10 indexed citations
17.
Park, Hyung Seok, Ha Yan Kim, Jeea Lee, et al.. (2019). An Updated Nomogram for Predicting Invasiveness in Preoperative Ductal Carcinoma In Situ of the Breast. Yonsei Medical Journal. 60(11). 1028–1028. 9 indexed citations
18.
Yoon, Kwang Hyun, Seho Park, Jee Ye Kim, et al.. (2019). Is the frozen section examination for sentinel lymph node necessary in early breast cancer patients?. Annals of Surgical Treatment and Research. 97(2). 49–49. 18 indexed citations
19.
Kim, Min Hwan, Gun Min Kim, Jee Hung Kim, et al.. (2019). Intermediate HER2 expression is associated with poor prognosis in estrogen receptor-positive breast cancer patients aged 55 years and older. Breast Cancer Research and Treatment. 179(3). 687–697. 13 indexed citations
20.
Lee, Byung Min, Jee Suk Chang, Young Up Cho, et al.. (2018). External validation of IBTR! 2.0 nomogram for prediction of ipsilateral breast tumor recurrence. Radiation Oncology Journal. 36(2). 139–146. 7 indexed citations

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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