Ahwon Lee

2.9k total citations
140 papers, 1.8k citations indexed

About

Ahwon Lee is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Ahwon Lee has authored 140 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Oncology, 39 papers in Cancer Research and 35 papers in Molecular Biology. Recurrent topics in Ahwon Lee's work include Breast Lesions and Carcinomas (23 papers), Breast Cancer Treatment Studies (21 papers) and Cervical Cancer and HPV Research (18 papers). Ahwon Lee is often cited by papers focused on Breast Lesions and Carcinomas (23 papers), Breast Cancer Treatment Studies (21 papers) and Cervical Cancer and HPV Research (18 papers). Ahwon Lee collaborates with scholars based in South Korea, United States and Belgium. Ahwon Lee's co-authors include Byung Joo Song, Sung Hun Kim, Bong Joo Kang, Byung Joo Chae, Kyo Young Lee, Sung Eun Rha, Yeong Jin Choi, Soon Nam Oh, Chan Kwon Jung and Jae Young Byun and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ahwon Lee

130 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahwon Lee South Korea 24 500 440 415 392 319 140 1.8k
Shir‐Hwa Ueng Taiwan 23 326 0.7× 408 0.9× 459 1.1× 392 1.0× 357 1.1× 78 1.8k
Laura J. Tafe United States 24 667 1.3× 530 1.2× 965 2.3× 213 0.5× 262 0.8× 100 2.2k
Marta Gil-Martín Spain 20 629 1.3× 322 0.7× 1.2k 2.9× 324 0.8× 136 0.4× 108 2.0k
Natalja T. ter Haar Netherlands 26 700 1.4× 545 1.2× 677 1.6× 97 0.2× 270 0.8× 51 2.1k
Neda A. Moatamed United States 17 359 0.7× 313 0.7× 609 1.5× 161 0.4× 321 1.0× 79 1.3k
Phyllis C. Huettner United States 28 883 1.8× 799 1.8× 453 1.1× 173 0.4× 304 1.0× 61 2.5k
Eun Yoon Cho South Korea 19 377 0.8× 357 0.8× 549 1.3× 162 0.4× 254 0.8× 50 1.6k
Anna Marie Mulligan Canada 25 579 1.2× 715 1.6× 879 2.1× 146 0.4× 196 0.6× 56 1.8k
Elena Guerini‐Rocco Italy 27 613 1.2× 716 1.6× 1.2k 2.8× 256 0.7× 294 0.9× 130 2.3k
Katherine Moxley United States 26 611 1.2× 375 0.9× 515 1.2× 132 0.3× 263 0.8× 71 2.0k

Countries citing papers authored by Ahwon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ahwon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahwon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ahwon Lee. A scholar is included among the top collaborators of Ahwon 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 Ahwon Lee. Ahwon 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.
2.
Lee, Miseon, Tae-Kyung Yoo, Byung Joo Chae, et al.. (2024). Luminal androgen receptor subtype and tumor-infiltrating lymphocytes groups based on triple-negative breast cancer molecular subclassification. Scientific Reports. 14(1). 11278–11278. 3 indexed citations
3.
4.
Lee, Young Sub, Jun Kang, Eun Sun Jung, & Ahwon Lee. (2023). High Expression of NRF2 and Low Expression of KEAP1 Predict Worse Survival in Patients With Operable Triple-Negative Breast Cancer. Journal of Breast Cancer. 26(5). 461–461. 6 indexed citations
5.
Lee, Sung Hak, Ahwon Lee, Jun Kang, et al.. (2023). Single-center study on clinicopathological and typical molecular pathologic features of metastatic brain tumor. Journal of Pathology and Translational Medicine. 57(4). 217–231.
6.
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
7.
Cho, Soo Youn, So Yeon Park, Young Kyung Bae, et al.. (2021). Standardized Pathology Report for Breast Cancer. Journal of Breast Cancer. 24(1). 1–1. 10 indexed citations
8.
Yoo, Ji Yeon, Hae Nim Lee, Sung Lee, et al.. (2020). Germline BRCA2 mutation is associated with greater progression-free survival in korean women with advanced high-grade serous ovarian cancer. European Journal of Gynaecological Oncology. 41(5). 675–675. 1 indexed citations
9.
Lee, Youn Joo, et al.. (2019). Triple-negative breast cancer: Pretreatment magnetic resonance imaging features and clinicopathological factors associated with recurrence. Magnetic Resonance Imaging. 66. 36–41. 10 indexed citations
10.
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
11.
Yeo, Min‐Kyung, et al.. (2017). Clinical usefulness of the free web-based image analysis application ImmunoRatio for assessment of Ki-67 labelling index in breast cancer. Journal of Clinical Pathology. 70(8). 715–719. 14 indexed citations
12.
Ko, Hyun Sun, Sae Kyung Choi, Hye Won Lee, et al.. (2016). Placental histologic patterns and neonatal seizure, in preterm premature rupture of membrane. The Journal of Maternal-Fetal & Neonatal Medicine. 30(7). 793–800. 10 indexed citations
13.
Rha, Sung Eun, et al.. (2015). Ultrasonographic findings of low-grade endometrial stromal sarcoma of the uterus with a focus on cystic degeneration. ULTRASONOGRAPHY. 35(2). 124–130. 16 indexed citations
14.
Rha, Sung Eun, et al.. (2015). Imaging findings of fallopian tube leiomyoma with myxoid degeneration: a case report. Clinical Imaging. 39(6). 1119–1122. 4 indexed citations
15.
Jung, Seung‐Hyun, et al.. (2012). Simultaneous copy number gains of NUPR1 and ERBB2 predicting poor prognosis in early-stage breast cancer. BMC Cancer. 12(1). 382–382. 23 indexed citations
16.
Chae, Byung Joo, Ahwon Lee, Ja Seong Bae, Byung Joo Song, & Sang Seol Jung. (2011). Expression of nuclear receptor DAX‐1 and androgen receptor in human breast cancer. Journal of Surgical Oncology. 103(8). 768–772. 16 indexed citations
17.
Lee, Ahwon, et al.. (2011). Expression of AIB1 protein as a prognostic factor in breast cancer. World Journal of Surgical Oncology. 9(1). 139–139. 15 indexed citations
18.
Jung, Eunsun, et al.. (2009). HPV in situ hybridization and immunohistochemical expression of L1 capsid protein in cervical intraepithelial neoplasia. Obstetrics & Gynecology Science. 52(12). 1279–1286. 4 indexed citations
19.
Song, Min Kyung, et al.. (2003). A Case of Steroid Cell Tumor, Not Otherwise Specified, with Massive Ascites.. Obstetrics & Gynecology Science. 46(12). 2551–2555. 1 indexed citations
20.
Yoon, Joo Hee, et al.. (2003). A Case of Primary Malignant Melanoma of the Vagina.. Obstetrics & Gynecology Science. 46(3). 667–671. 1 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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