Woo Sung Moon

6.1k total citations
157 papers, 4.6k citations indexed

About

Woo Sung Moon is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Woo Sung Moon has authored 157 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Oncology, 54 papers in Molecular Biology and 42 papers in Surgery. Recurrent topics in Woo Sung Moon's work include Sirtuins and Resveratrol in Medicine (11 papers), Wnt/β-catenin signaling in development and cancer (10 papers) and Hepatocellular Carcinoma Treatment and Prognosis (10 papers). Woo Sung Moon is often cited by papers focused on Sirtuins and Resveratrol in Medicine (11 papers), Wnt/β-catenin signaling in development and cancer (10 papers) and Hepatocellular Carcinoma Treatment and Prognosis (10 papers). Woo Sung Moon collaborates with scholars based in South Korea, United States and Egypt. Woo Sung Moon's co-authors include Kyu Yun Jang, Ho Sung Park, Myoung Ja Chung, Myoung Jae Kang, Dong Geun Lee, Andrzej S. Tarnawski, Jun Sang Bae, Ho Lee, Byung‐Hyun Park and Kyoung Min Kim and has published in prestigious journals such as Blood, PLoS ONE and Cancer.

In The Last Decade

Woo Sung Moon

153 papers receiving 4.5k citations

Peers

Woo Sung Moon

ONCOL

PRM

SURGE

EPIDE

Latifa Bakiri Austria

Yoshinaga Okugawa Japan

Chunyou Wang China

Hirohisa Okabe Japan

Satoshi Shimizu Japan

Bo Zhai China

Yingjiang Ye China

Adriaan P. de Bruı̈ne Netherlands

Shan Wang China

Wolfgang E. Thasler Germany

Latifa Bakiri Austria

Woo Sung Moon

2.5k ×1.5

1.0k ×0.7

ONCOL

342 ×0.4

PRM

294 ×0.4

SURGE

473 ×0.6

EPIDE

Citations per year, relative to Woo Sung Moon Woo Sung Moon (= 1×) peers Latifa Bakiri

Countries citing papers authored by Woo Sung Moon

Since Specialization

Citations

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

Fields of papers citing papers by Woo Sung Moon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woo Sung Moon. 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 Sung Moon. The network helps show where Woo Sung Moon may publish in the future.

Co-authorship network of co-authors of Woo Sung Moon

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

Moon, Woo Sung, Gi Won Ha, Ho Sung Park, et al.. (2025). Clinicopathological Significance of APC Mutation in Patient with Colorectal Cancer. Oncology. 104(1). 92–102.

Hussein, Usama Khamis, Kyoung Min Kim, See‐Hyoung Park, et al.. (2021). SCRIB Is Involved in the Progression of Ovarian Carcinomas in Association with the Factors Linked to Epithelial-to-Mesenchymal Transition and Predicts Shorter Survival of Diagnosed Patients. Biomolecules. 11(3). 405–405. 8 indexed citations

Noh, Sang Jae, Usama Khamis Hussein, Ho Sung Park, et al.. (2021). FAM83H and Nectin1 expression are related with survival and relapse of bladder urothelial carcinoma patients. BMC Urology. 21(1). 143–143. 4 indexed citations

Kim, Kyoung Min, Usama Khamis Hussein, Jun Sang Bae, et al.. (2019). The Expression Patterns of FAM83H and PANX2 Are Associated With Shorter Survival of Clear Cell Renal Cell Carcinoma Patients. Frontiers in Oncology. 9. 14–14. 25 indexed citations

Hussein, Usama Khamis, Ho Sung Park, Jun Sang Bae, et al.. (2018). Expression of oxidized protein tyrosine phosphatase and γH2AX predicts poor survival of gastric carcinoma patients. BMC Cancer. 18(1). 836–836. 5 indexed citations

Kim, Kyoung Min, See‐Hyoung Park, Jun Sang Bae, et al.. (2017). FAM83H is involved in the progression of hepatocellular carcinoma and is regulated by MYC. Scientific Reports. 7(1). 3274–3274. 37 indexed citations

Bae, Jun Sang, See‐Hyoung Park, Kyoung Min Kim, et al.. (2016). CK2α/CSNK2A1 Phosphorylates SIRT6 and Is Involved in the Progression of Breast Carcinoma and Predicts Shorter Survival of Diagnosed Patients. American Journal Of Pathology. 186(12). 3297–3315. 68 indexed citations

Park, See‐Hyoung, Sang Jae Noh, Kyoung Min Kim, et al.. (2015). Expression of DNA Damage Response Molecules PARP1, γH2AX, BRCA1, and BRCA2 Predicts Poor Survival of Breast Carcinoma Patients. Translational Oncology. 8(4). 239–249. 19 indexed citations

Jang, Kyu Yun, Yo Na Kim, Jun Sang Bae, et al.. (2012). Expression of Cyclin D1 Is Associated with β-Catenin Expression and Correlates with Good Prognosis in Colorectal Adenocarcinoma. Translational Oncology. 5(5). 370–378. 21 indexed citations

10.

Park, Ho Sung, Kyu Yun Jang, Myoung Jae Kang, et al.. (2011). Involvement of Endoplasmic Reticulum Stress in Myofibroblastic Differentiation of Lung Fibroblasts. American Journal of Respiratory Cell and Molecular Biology. 46(6). 731–739. 138 indexed citations

11.

Yun, Seok‐Kweon, et al.. (2010). A Case of Cutaneous Carcinosarcoma. Linchuang pifuke zazhi. 48(6). 521–524. 1 indexed citations

12.

Lee, Ho, Kyung Ryoul Kim, Sang Jae Noh, et al.. (2010). Expression of DBC1 and SIRT1 is associated with poor prognosis for breast carcinoma. Human Pathology. 42(2). 204–213. 131 indexed citations

13.

Park, Ho Sung, Young Kon Kim, Baik Hwan Cho, & Woo Sung Moon. (2010). Pedunculated hepatic mass. Liver International. 31(4). 541–541. 8 indexed citations

14.

Choi, Keum Ha, et al.. (2008). Sclerosing hemangioma, presenting as a pneumonic pattern with mucinous adenomatous hyperplasia of the lung. Pathology International. 58(11). 735–740. 6 indexed citations

15.

Kim, Seong‐Hun, et al.. (2007). A case of combined hepatocellular-chloangiocarcinoma associated with polymyositis and chronic hepatitis B virus infection. The Korean Journal of Internal Medicine. 72(1). 79–84.

16.

Kang, Dae Young, Cheol Keun Park, Jong Sang Choi, et al.. (2007). Multiple Gastrointestinal Stromal Tumors: Clinicopathologic and Genetic Analysis of 12 Patients. The American Journal of Surgical Pathology. 31(2). 224–232. 83 indexed citations

17.

Yi, Ji, et al.. (2006). Clinicopathological Study on Metastatic Skin Cancer. Linchuang pifuke zazhi. 44(5). 567–573. 3 indexed citations

18.

Moon, Woo Sung, Kenneth J. Chang, Adhip P.N. Majumdar, & Andrzej S. Tarnawski. (2004). Reduced Expression of Epidermal Growth Factor Receptor-Related Protein in Hepatocellular Carcinoma: Implications for Cancer Growth. Digestion. 69(4). 219–224. 12 indexed citations

19.

Moon, Woo Sung, Myoung Jae Kang, Dong Geun Lee, et al.. (2003). Overexpression of VEGF and Angiopoietin 2: A Key to High Vascularity of Hepatocellular Carcinoma?. Modern Pathology. 16(6). 552–557. 175 indexed citations

20.

Ko, Young Hyeh, et al.. (2000). Clinicopathologic and genotypic study of extranodal nasal-type natural killer/T-cell lymphoma and natural killer precursor lymphoma among Koreans. Cancer. 89(10). 2106–2116. 110 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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