Woo-Chul Noh

556 total citations
18 papers, 383 citations indexed

About

Woo-Chul Noh is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Woo-Chul Noh has authored 18 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Pathology and Forensic Medicine and 7 papers in Cancer Research. Recurrent topics in Woo-Chul Noh's work include Breast Cancer Treatment Studies (5 papers), Breast Lesions and Carcinomas (5 papers) and BRCA gene mutations in cancer (4 papers). Woo-Chul Noh is often cited by papers focused on Breast Cancer Treatment Studies (5 papers), Breast Lesions and Carcinomas (5 papers) and BRCA gene mutations in cancer (4 papers). Woo-Chul Noh collaborates with scholars based in South Korea and United States. Woo-Chul Noh's co-authors include Eun Sook Ko, Byung Hee Lee, Hyun‐Ah Kim, Min Suk Kim, Sang‐Ah Lee, Rock Bum Kim, Sung‐Won Kim, Hye Young Choi, Sung Sup Park and Min Hyuk Lee and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Bioconjugate Chemistry.

In The Last Decade

Woo-Chul Noh

16 papers receiving 378 citations

Peers

Woo-Chul Noh

PFM

RNMI

GENET

Marit Muri Holmen Norway

M. Rudas Austria

Clelia de Giacomi Italy

Anoek H J Verschuur‐Maes Netherlands

Inge‐Marie Obdeijn Netherlands

Anita Vabø Norway

Gabriela Gohla Canada

Zhimin Shao China

Sara A. Lari United States

Ruohong Shui China

Marit Muri Holmen Norway

Woo-Chul Noh

187 ×1.1

114 ×0.8

PFM

199 ×1.6

RNMI

123 ×1.1

GENET

91 ×0.8

Citations per year, relative to Woo-Chul Noh Woo-Chul Noh (= 1×) peers Marit Muri Holmen

Countries citing papers authored by Woo-Chul Noh

Since Specialization

Citations

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

Fields of papers citing papers by Woo-Chul Noh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woo-Chul Noh. 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 Woo-Chul Noh. The network helps show where Woo-Chul Noh may publish in the future.

Co-authorship network of co-authors of Woo-Chul Noh

This figure shows the co-authorship network connecting the top 25 collaborators of Woo-Chul Noh. A scholar is included among the top collaborators of Woo-Chul Noh 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 Woo-Chul Noh. Woo-Chul Noh 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:

18 of 18 papers shown

Noh, Woo-Chul, et al.. (2025). Aptamer- vs Fab-Conjugated Liposomes: A Comparative Study in Targeting Acute Myeloid Leukemia Cells. Bioconjugate Chemistry. 36(4). 815–822. 3 indexed citations

Choi, Ji Eun, et al.. (2019). Predicting radiation resistance in breast cancer with expression status of phosphorylated S6K1. The Breast. 44. S80–S80.

Hwang, Ki‐Tae, Woo-Chul Noh, Jonghan Yu, et al.. (2017). Education Level Is a Strong Prognosticator in the Subgroup Aged More Than 50 Years Regardless of the Molecular Subtype of Breast Cancer: A Study Based on the Nationwide Korean Breast Cancer Registry Database. Cancer Research and Treatment. 49(4). 1114–1126. 5 indexed citations

Kang, Eunyoung, Hai‐Lin Park, Jong Won Lee, et al.. (2016). KOHBRA BRCA risk calculator (KOHCal): a model for predicting BRCA1 and BRCA2 mutations in Korean breast cancer patients. Journal of Human Genetics. 61(5). 365–371. 15 indexed citations

Kim, Han‐Seong, Jae‐Soo Koh, Jungsil Ro, et al.. (2014). Chromatin CKAP2, a New Proliferation Marker, as Independent Prognostic Indicator in Breast Cancer. PLoS ONE. 9(6). e98160–e98160. 23 indexed citations

Seong, Moon‐Woo, Sung Im Cho, Hyun‐Ah Kim, et al.. (2014). A multi-institutional study of the prevalence of BRCA1 and BRCA2 large genomic rearrangements in familial breast cancer patients. BMC Cancer. 14(1). 645–645. 23 indexed citations

Son, Byung Ho, Sei Hyun Ahn, Sung‐Won Kim, et al.. (2012). Prevalence of BRCA1 and BRCA2 mutations in non-familial breast cancer patients with high risks in Korea: The Korean Hereditary Breast Cancer (KOHBRA) Study. Breast Cancer Research and Treatment. 133(3). 1143–1152. 37 indexed citations

Ko, Eun Sook, Hye Young Choi, Rock Bum Kim, & Woo-Chul Noh. (2011). Application of sonoelastography: Comparison of performance between mass and non-mass lesion. European Journal of Radiology. 81(4). 731–736. 6 indexed citations

Han, Sang‐Ah, Sung Sup Park, Sei Hyun Ahn, et al.. (2011). The Korean Hereditary Breast Cancer (KOHBRA) Study: Protocols and Interim Report. Clinical Oncology. 23(7). 434–441. 48 indexed citations

10.

Jin, Hyeon‐Ok, Sung‐Keum Seo, Sang‐Hyeok Woo, et al.. (2011). Redd1 inhibits the invasiveness of non-small cell lung cancer cells. Biochemical and Biophysical Research Communications. 407(3). 507–511. 19 indexed citations

11.

Ko, Eun Sook, Hye Young Choi, Byung Hee Lee, Woo-Chul Noh, & Rock Bum Kim. (2011). Central washout sign in computer-aided evaluation of breast MRI: preliminary results. Acta Radiologica. 52(3). 256–263. 3 indexed citations

12.

Ko, Eun Sook, Byung Hee Lee, Hye Young Choi, Rock Bum Kim, & Woo-Chul Noh. (2010). Background enhancement in breast MR: Correlation with breast density in mammography and background echotexture in ultrasound. European Journal of Radiology. 80(3). 719–723. 36 indexed citations

13.

Noh, Woo-Chul, Min Hee Hur, Soohyun Ahn, et al.. (2010). 32 ASTRRA study: a randomised phase III study for evaluating the role of the addition of ovarian function suppression (OFS) to tamoxifen in young women (<45 years) with hormone-sensitive breast cancer who remain in premenopause or regain menstruation after chemotherapy – a Korean Breast Cancer Study Group (KBCSG) trial. European Journal of Cancer Supplements. 8(3). 67–68. 2 indexed citations

14.

Ko, Eun Sook, Byung Hee Lee, Hyun‐Ah Kim, et al.. (2009). Triple-negative breast cancer: correlation between imaging and pathological findings. European Radiology. 20(5). 1111–1117. 157 indexed citations

15.

Kim, Hyun‐Ah, Minsuk Kim, Yang Hee Kim, et al.. (2009). A Comparison of Outcomes for the Patients with Pathologically Node-negative Breast Cancer and Who Were Treated Either with Sentinel Lymph Node Biopsy Only or with Conventional Axillary Lymph Node Dissection. Journal of Breast Cancer. 12(4). 265–265. 1 indexed citations

16.

Kim, Hyun‐Ah, et al.. (2009). The Incidence of Chemotherapy-induced Amenorrhea and Recovery in Young (<45-year-old) Breast Cancer Patients. Journal of Breast Cancer. 12(1). 20–20. 4 indexed citations

17.

Kim, Hyun‐Ah, et al.. (2008). Recovery of Ovarian Function with Aromatase Inhibitors: In Young Breast Cancer Patients (<45) with Chemotherapy-induced Amenorrhea. Journal of Breast Cancer. 11(3). 133–133.

18.

Kim, Hyun‐Ah, Yang Hee Kim, Sooyoung Chung, et al.. (2007). Risk Factors for Recurrence After Surgical Treatment of a Malignant Phyllodes Tumor of the Breast. Journal of Breast Cancer. 10(4). 248–248. 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.

Explore authors with similar magnitude of impact