Eun‐Gyeong Lee

1.6k total citations · 1 hit paper
66 papers, 1.1k citations indexed

About

Eun‐Gyeong Lee is a scholar working on Cancer Research, Oncology and Genetics. According to data from OpenAlex, Eun‐Gyeong Lee has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cancer Research, 22 papers in Oncology and 18 papers in Genetics. Recurrent topics in Eun‐Gyeong Lee's work include Breast Cancer Treatment Studies (17 papers), Breast Lesions and Carcinomas (8 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Eun‐Gyeong Lee is often cited by papers focused on Breast Cancer Treatment Studies (17 papers), Breast Lesions and Carcinomas (8 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Eun‐Gyeong Lee collaborates with scholars based in South Korea, United States and Japan. Eun‐Gyeong Lee's co-authors include Wan‐Hee Yoo, Myung-Soon Sung, Kyung-Hwan Kim, Yong Suk Chung, Yoon-Ha Kim, Pooja Tripathi, Han–Jung Chae, Wonseok Lee, Song Lim Kim and Inchan Choi and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Eun‐Gyeong Lee

53 papers receiving 1.1k citations

Hit Papers

Root Response to Drought Stress in Rice (Oryza sativa L.) 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eun‐Gyeong Lee South Korea 18 422 263 176 153 135 66 1.1k
Christopher G. Love Australia 19 461 1.1× 613 2.3× 192 1.1× 242 1.6× 127 0.9× 45 1.2k
Meichun Hu China 21 198 0.5× 874 3.3× 181 1.0× 179 1.2× 141 1.0× 51 1.4k
Morteza Atri Iran 16 166 0.4× 335 1.3× 170 1.0× 146 1.0× 122 0.9× 70 747
Yuan Ruan China 20 410 1.0× 539 2.0× 63 0.4× 77 0.5× 143 1.1× 76 1.2k
Yanjun Lu China 19 346 0.8× 504 1.9× 225 1.3× 35 0.2× 136 1.0× 57 1.1k
Xilong Wang China 19 108 0.3× 553 2.1× 122 0.7× 102 0.7× 230 1.7× 86 1.1k
Dawei Cai China 14 197 0.5× 539 2.0× 80 0.5× 91 0.6× 102 0.8× 28 998
Niaz Mahmood Canada 15 109 0.3× 557 2.1× 153 0.9× 64 0.4× 252 1.9× 38 1.2k
Aurora de la Peña-Dı́az Mexico 19 349 0.8× 375 1.4× 38 0.2× 205 1.3× 88 0.7× 81 1.2k

Countries citing papers authored by Eun‐Gyeong Lee

Since Specialization
Citations

This map shows the geographic impact of Eun‐Gyeong 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‐Gyeong 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‐Gyeong Lee more than expected).

Fields of papers citing papers by Eun‐Gyeong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eun‐Gyeong Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Eun‐Gyeong Lee. A scholar is included among the top collaborators of Eun‐Gyeong 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‐Gyeong Lee. Eun‐Gyeong Lee 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.
Lee, Youngjoo, Woo Chul Noh, Hyun‐Ah Kim, et al.. (2024). Prediction of menstrual recovery patterns in premenopausal women with breast cancer taking tamoxifen after chemotherapy: an ASTRRA Substudy. Breast Cancer Research. 26(1). 152–152.
2.
Park, Y. S., Eun‐Gyeong Lee, Heejung Chae, et al.. (2024). Mortality Prediction Modeling for Patients with Breast Cancer Based on Explainable Machine Learning. Cancers. 16(22). 3799–3799. 2 indexed citations
4.
Tran, Chinh Hoang, et al.. (2023). Prussian blue analogs as catalysts for the fixation of CO2 to glycidol to produce glycerol carbonate and multibranched polycarbonate polyols. Journal of CO2 Utilization. 74. 102530–102530. 10 indexed citations
5.
Noh, Woo Chul, Sei‐Hyun Ahn, Hyun‐Ah Kim, et al.. (2023). Adding Ovarian Suppression to Tamoxifen for Premenopausal Women With Hormone Receptor–Positive Breast Cancer After Chemotherapy: An 8-Year Follow-Up of the ASTRRA Trial. Journal of Clinical Oncology. 41(31). 4864–4871. 24 indexed citations
6.
Trần, Thị Xuân Mai, So‐Youn Jung, Eun‐Gyeong Lee, et al.. (2023). Health-related quality of life in long-term early-stage breast cancer survivors compared to general population in Korea. Journal of Cancer Survivorship. 19(2). 487–495. 2 indexed citations
7.
Lee, Dong-Eun, Eun‐Gyeong Lee, Seeyoun Lee, et al.. (2023). Clinicopathological Factors Associated with Oncotype DX Risk Group in Patients with ER+/HER2- Breast Cancer. Cancers. 15(18). 4451–4451. 1 indexed citations
8.
Trần, Thị Xuân Mai, So‐Youn Jung, Eun‐Gyeong Lee, et al.. (2022). Long-term trajectory of postoperative health-related quality of life in young breast cancer patients: a 15-year follow-up study. Journal of Cancer Survivorship. 17(5). 1416–1426. 15 indexed citations
10.
Hong, Seri, Jaejun Lee, Young‐Joo Won, et al.. (2021). Analysis of the tumor characteristics in young age breast cancer patients using collaborative stage data of the Korea Central Cancer Registry. Breast Cancer Research and Treatment. 187(3). 785–792. 8 indexed citations
11.
Kim, Sun‐Young, Eun Sook Lee, Han‐Sung Kang, et al.. (2021). Sentinel Lymph Node Biopsy in Breast Cancer Patients With Pathological Complete Response in the Axillary Lymph Node After Neoadjuvant Chemotherapy. Journal of Breast Cancer. 24(6). 531–531. 12 indexed citations
12.
Lee, Eun‐Gyeong, et al.. (2021). Surgical outcomes of localization using indocyanine green fluorescence in breast conserving surgery: a prospective study. Scientific Reports. 11(1). 9997–9997. 9 indexed citations
13.
Kim, Song Lim, Eun‐Gyeong Lee, Kyeong-Seong Cheon, et al.. (2020). High-throughput phenotyping platform for analyzing drought tolerance in rice. Planta. 252(3). 38–38. 75 indexed citations
14.
Cheon, Kyeong-Seong, Young‐Min Jeong, Jun Oh, et al.. (2019). Kompetitive Allele-Specific PCR Marker Development and Quantitative Trait Locus Mapping for Bakanae Disease Resistance in Korean Japonica Rice Varieties. Plant Breeding and Biotechnology. 7(3). 208–219. 25 indexed citations
15.
Park, Soo Jin, Moo Hyun Lee, Sun‐Young Kong, et al.. (2018). Use of adjuvant chemotherapy in hormone receptor-positive breast cancer patients with or without the 21-gene expression assay. Breast Cancer Research and Treatment. 170(1). 69–76. 2 indexed citations
16.
18.
Sung, Myung-Soon, et al.. (2012). Quercetin Inhibits IL-1β-Induced Proliferation and Production of MMPs, COX-2, and PGE2 by Rheumatoid Synovial Fibroblast. Inflammation. 35(4). 1585–1594. 77 indexed citations
19.
Lee, Eun‐Gyeong, et al.. (2010). Ethyl Acetate Fraction from Cudrania Tricuspidata Inhibits IL-1β-Stimulated Osteoclast Differentiation through Downregulation of MAPKs, c-Fos and NFATc1. The Korean Journal of Internal Medicine. 25(1). 93–93. 18 indexed citations
20.
Lee, Eun‐Gyeong, et al.. (2010). Adrenomedullin Inhibits IL-1β-Induced Rheumatoid Synovial Fibroblast Proliferation and MMPs, COX-2 and PGE2 Production. Inflammation. 34(5). 335–343. 17 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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