Won Duk Joo

944 total citations
41 papers, 662 citations indexed

About

Won Duk Joo is a scholar working on Reproductive Medicine, Cancer Research and Molecular Biology. According to data from OpenAlex, Won Duk Joo has authored 41 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Reproductive Medicine, 14 papers in Cancer Research and 11 papers in Molecular Biology. Recurrent topics in Won Duk Joo's work include Ovarian cancer diagnosis and treatment (11 papers), Endometrial and Cervical Cancer Treatments (7 papers) and Cancer Genomics and Diagnostics (6 papers). Won Duk Joo is often cited by papers focused on Ovarian cancer diagnosis and treatment (11 papers), Endometrial and Cervical Cancer Treatments (7 papers) and Cancer Genomics and Diagnostics (6 papers). Won Duk Joo collaborates with scholars based in South Korea and United States. Won Duk Joo's co-authors include Gil Mor, Sang Geun Jung, Min Chul Choi, Irene Visintin, Hyun Park, Chan Lee, Seung Hun Song, Ju‐Yeon Jeong, Natália J. Sumi and Ayesha B. Alvero and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Won Duk Joo

41 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Won Duk Joo South Korea 16 264 202 176 150 138 41 662
Yuya Nogami Japan 16 275 1.0× 160 0.8× 163 0.9× 101 0.7× 179 1.3× 37 677
Yeh Chen Lee Australia 13 253 1.0× 138 0.7× 227 1.3× 318 2.1× 205 1.5× 51 791
Fangrong Shen China 17 346 1.3× 260 1.3× 98 0.6× 163 1.1× 144 1.0× 45 783
Lauren Baldwin United States 10 157 0.6× 102 0.5× 309 1.8× 149 1.0× 145 1.1× 40 572
Lingmin Hu China 17 357 1.4× 187 0.9× 86 0.5× 125 0.8× 104 0.8× 46 845
Mona Aarenstrup Karlsen Denmark 12 127 0.5× 147 0.7× 406 2.3× 121 0.8× 191 1.4× 26 669
Diana P. English United States 14 183 0.7× 85 0.4× 165 0.9× 275 1.8× 216 1.6× 31 676
Whitney A. Spannuth Graybill United States 13 154 0.6× 60 0.3× 233 1.3× 221 1.5× 92 0.7× 40 549
Mike F. Janicek United States 16 247 0.9× 117 0.6× 248 1.4× 198 1.3× 252 1.8× 24 847
Ate GJ van der Zee Netherlands 9 212 0.8× 105 0.5× 237 1.3× 187 1.2× 397 2.9× 13 794

Countries citing papers authored by Won Duk Joo

Since Specialization
Citations

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

Fields of papers citing papers by Won Duk Joo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Duk Joo. 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 Won Duk Joo. The network helps show where Won Duk Joo may publish in the future.

Co-authorship network of co-authors of Won Duk Joo

This figure shows the co-authorship network connecting the top 25 collaborators of Won Duk Joo. A scholar is included among the top collaborators of Won Duk Joo 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 Won Duk Joo. Won Duk Joo 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.
Koo, Yu‐Jin, Jun‐Woo Ahn, Hyuntae Park, et al.. (2025). Clinical practice in office hysteroscopy. Obstetrics & Gynecology Science. 68(3). 175–185. 1 indexed citations
2.
Kim, Ju-Hyun, Dae‐Yeon Kim, Joseph J. Noh, et al.. (2024). Practice guidelines for management of uterine corpus cancer in Korea: a Korean Society of Gynecologic Oncology consensus statement. Journal of Gynecologic Oncology. 35(2). e45–e45. 5 indexed citations
3.
Choi, Min Chul, et al.. (2023). Rechallenge with Anti-PD-1 Inhibitors in Patients with Recurrent Gynecologic Malignancies. Yonsei Medical Journal. 64(10). 587–587. 3 indexed citations
4.
Park, Sun‐Mi, Young Suk Jo, Moon Jung Choi, et al.. (2022). Long Non-Coding RNA-Based Functional Prediction Reveals Novel Targets in Notch-Upregulated Ovarian Cancer. Cancers. 14(6). 1557–1557. 2 indexed citations
5.
Noh, Joseph J., Min Kyu Kim, Min Chul Choi, et al.. (2021). Frequency of Mismatch Repair Deficiency/High Microsatellite Instability and Its Role as a Predictive Biomarker of Response to Immune Checkpoint Inhibitors in Gynecologic Cancers. Cancer Research and Treatment. 54(4). 1200–1208. 21 indexed citations
6.
Choi, Min Chul, Sang Geun Jung, Hyun Park, et al.. (2021). Hyperthermic intraperitoneal chemotherapy as consolidation treatment of advanced stage ovarian cancer. Obstetrics & Gynecology Science. 64(5). 437–443. 1 indexed citations
7.
Choi, Min Chul, Yong Wha Moon, Sang Geun Jung, et al.. (2020). Real-World Experience with Pembrolizumab Treatment in Patients with Heavily Treated Recurrent Gynecologic Malignancies. Yonsei Medical Journal. 61(10). 844–844. 6 indexed citations
8.
Park, Hyun, Sohyun Hwang, Ju‐Yeon Jeong, et al.. (2020). Integrative analysis of transcription factors and microRNAs in ovarian cancer cell spheroids. Journal of Ovarian Research. 13(1). 16–16. 7 indexed citations
9.
Choi, Min Chul, Sohyun Hwang, Sewha Kim, et al.. (2020). Clinical Impact of Somatic Variants in Homologous Recombination Repair-Related Genes in Ovarian High-Grade Serous Carcinoma. Cancer Research and Treatment. 52(2). 634–644. 14 indexed citations
10.
Kim, Sewha, Min Chul Choi, Ju‐Yeon Jeong, et al.. (2019). Serum exosomal miRNA-145 and miRNA-200c as promising biomarkers for preoperative diagnosis of ovarian carcinomas. Journal of Cancer. 10(9). 1958–1967. 73 indexed citations
11.
Suh, Dong Hoon, Suk‐Joon Chang, Taejong Song, et al.. (2018). Practice guidelines for management of ovarian cancer in Korea: a Korean Society of Gynecologic Oncology Consensus Statement. Journal of Gynecologic Oncology. 29(4). 18 indexed citations
12.
Choi, Min Chul, Sang Geun Jung, Hyun Park, et al.. (2018). Prevalence of germline BRCA mutations among women with carcinoma of the peritoneum or fallopian tube. Journal of Gynecologic Oncology. 29(4). e43–e43. 11 indexed citations
14.
Choi, Min Chul, Jin Hyung Heo, Ja‐Hyun Jang, et al.. (2015). Germline Mutations of BRCA1 and BRCA2 in Korean Ovarian Cancer Patients Finding Founder Mutations. International Journal of Gynecological Cancer. 25(8). 1386–1391. 22 indexed citations
15.
Yang‐Hartwich, Yang, Natália J. Sumi, Won Duk Joo, et al.. (2014). Ovulation and extra-ovarian origin of ovarian cancer. Scientific Reports. 4(1). 6116–6116. 50 indexed citations
16.
Park, Hyun, Ju‐Yeon Jeong, Min Chul Choi, et al.. (2014). Dysregulated microRNA expression in adenocarcinoma of the uterine cervix: Clinical impact of miR-363-3p. Gynecologic Oncology. 135(3). 565–572. 34 indexed citations
17.
Joo, Won Duk, Irene Visintin, & Gil Mor. (2013). Targeted cancer therapy – Are the days of systemic chemotherapy numbered?. Maturitas. 76(4). 308–314. 94 indexed citations
18.
Kim, Chae Won, Hyun Hee Lee, Nal Ae Yoon, et al.. (2011). Ectopic over-expression of tristetraprolin in human cancer cells promotes biogenesis of let-7 by down-regulation of Lin28. Nucleic Acids Research. 40(9). 3856–3869. 39 indexed citations
19.
Joo, Won Duk, et al.. (2008). Prenatally Diagnosed Ectrodactyly at 16 Weeks’ Gestation by 2- and 3-Dimensional Ultrasonography. Fetal Diagnosis and Therapy. 24(3). 161–164. 5 indexed citations
20.
Joo, Won Duk, Sung Kim, Dae Yeon Kim, et al.. (2004). Prevalence of Human Papillomavirus Infection in Korean Women : Risks of Abnormal Pap Smear and Cervical Neoplasia. 15(4). 309–309. 18 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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