Young‐Tak Kim

5.6k total citations
145 papers, 4.0k citations indexed

About

Young‐Tak Kim is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Surgery. According to data from OpenAlex, Young‐Tak Kim has authored 145 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Obstetrics and Gynecology, 73 papers in Reproductive Medicine and 51 papers in Surgery. Recurrent topics in Young‐Tak Kim's work include Endometrial and Cervical Cancer Treatments (73 papers), Ovarian cancer diagnosis and treatment (61 papers) and Cervical Cancer and HPV Research (29 papers). Young‐Tak Kim is often cited by papers focused on Endometrial and Cervical Cancer Treatments (73 papers), Ovarian cancer diagnosis and treatment (61 papers) and Cervical Cancer and HPV Research (29 papers). Young‐Tak Kim collaborates with scholars based in South Korea, United States and Japan. Young‐Tak Kim's co-authors include Yong‐Man Kim, Joo‐Hyun Nam, Jong-Hyeok Kim, Jeong‐Yeol Park, Dae‐Yeon Kim, Dae‐Yeon Kim, Dae‐Shik Suh, Shin‐Wha Lee, Kyu-Rae Kim and Sun-Kyung Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Young‐Tak Kim

143 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young‐Tak Kim South Korea 37 2.4k 2.1k 1.1k 931 536 145 4.0k
Allan Covens Canada 37 2.6k 1.1× 2.2k 1.1× 1.0k 0.9× 1.2k 1.3× 807 1.5× 141 4.1k
Stefano Greggi Italy 40 2.4k 1.0× 2.4k 1.2× 1.5k 1.4× 988 1.1× 1.1k 2.0× 142 4.6k
Innocenza Palaia Italy 36 1.4k 0.6× 1.7k 0.8× 885 0.8× 538 0.6× 966 1.8× 187 3.6k
Paolo Zola Italy 36 3.1k 1.3× 2.6k 1.2× 1.2k 1.1× 969 1.0× 1.0k 1.9× 151 4.8k
Christine H. Holschneider United States 25 1.4k 0.6× 1.5k 0.7× 1.0k 1.0× 488 0.5× 605 1.1× 67 3.0k
Charles F. Levenback United States 31 1.8k 0.8× 1.4k 0.6× 925 0.9× 996 1.1× 960 1.8× 84 3.4k
U. Beller Israel 20 2.7k 1.1× 2.6k 1.2× 1.1k 1.0× 893 1.0× 824 1.5× 57 4.6k
Cor D. de Kroon Netherlands 34 1.7k 0.7× 1.3k 0.6× 632 0.6× 393 0.4× 768 1.4× 118 3.4k
M. van Lent Netherlands 18 2.6k 1.1× 3.1k 1.4× 1.3k 1.2× 465 0.5× 528 1.0× 35 3.9k
Charles A. Leath United States 31 1.3k 0.6× 1.4k 0.7× 611 0.6× 470 0.5× 1.1k 2.0× 220 3.3k

Countries citing papers authored by Young‐Tak Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Tak Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Tak Kim. 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 Young‐Tak Kim. The network helps show where Young‐Tak Kim may publish in the future.

Co-authorship network of co-authors of Young‐Tak Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Tak Kim. A scholar is included among the top collaborators of Young‐Tak Kim 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 Young‐Tak Kim. Young‐Tak Kim 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.
Kim, Dae‐Yeon, Dae‐Shik Suh, Jong-Hyeok Kim, et al.. (2023). Outcomes and prognostic factors of surgically treated extramammary Paget’s disease of the vulva. Journal of Gynecologic Oncology. 34(6). e76–e76. 2 indexed citations
2.
Kim, Hakseung, et al.. (2021). Prediction of Life-Threatening Intracranial Hypertension During the Acute Phase of Traumatic Brain Injury Using Machine Learning. IEEE Journal of Biomedical and Health Informatics. 25(10). 3967–3976. 23 indexed citations
3.
Park, Jeong‐Yeol, Dae‐Yeon Kim, Dae‐Shik Suh, et al.. (2020). Usefulness of sentinel lymph node mapping using indocyanine green and fluorescent imaging in the diagnosis of lymph node metastasis in endometrial cancer. Journal of Obstetrics and Gynaecology. 41(4). 605–611. 6 indexed citations
4.
Kim, Ju-Hyun, Seung‐Hyuk Shim, So Hyun Nam, et al.. (2020). Prognostic Factors and Impact of Minimally Invasive Surgery in Early-stage Neuroendocrine Carcinoma of the Cervix. Journal of Minimally Invasive Gynecology. 27(7). 1558–1565. 8 indexed citations
7.
Lee, Hyun Ju, Jeong‐Yeol Park, Jong Jin Lee, et al.. (2016). Comparison of MRI and 18F-FDG PET/CT in the preoperative evaluation of uterine carcinosarcoma. Gynecologic Oncology. 140(3). 409–414. 25 indexed citations
8.
Lee, Shin‐Wha, et al.. (2013). Simultaneous suppression of Src and signal transducer and activator of transcription 3 inhibits the growth of epithelial ovarian cancer cells. European Journal of Obstetrics & Gynecology and Reproductive Biology. 169(1). 75–79. 2 indexed citations
9.
Park, Ji Young, Joo‐Hyun Nam, Young‐Tak Kim, et al.. (2013). Poor prognosis of uterine serous carcinoma compared with grade 3 endometrioid carcinoma in early stage patients. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 462(3). 289–296. 18 indexed citations
10.
Lee, Shin‐Wha, Yong‐Man Kim, Young Seok Kim, et al.. (2012). Radiation therapy is a treatment to be considered for recurrent epithelial ovarian cancer after chemotherapy.. PubMed. 97(5). 590–5. 19 indexed citations
11.
Quek, Swee Chong, Efrén Javier Domingo, Jong Sup Park, et al.. (2012). Human Papillomavirus Type Distribution in Invasive Cervical Cancer and High-Grade Cervical Intraepithelial Neoplasia Across 5 Countries in Asia. International Journal of Gynecological Cancer. 23(1). 148–156. 51 indexed citations
12.
Park, Jeong‐Yeol, Sang‐Hun Lee, Seok Ju Seong, et al.. (2012). Progestin re-treatment in patients with recurrent endometrial adenocarcinoma after successful fertility-sparing management using progestin. Gynecologic Oncology. 129(1). 7–11. 56 indexed citations
13.
Park, Jeong‐Yeol, Dae‐Yeon Kim, Jong-Hyeok Kim, et al.. (2011). Surgical staging and adjuvant chemotherapy in the management of patients with adult granulosa cell tumors of the ovary. Gynecologic Oncology. 125(1). 80–86. 95 indexed citations
14.
Park, Jeong‐Yeol, et al.. (2011). The Impact of Tumor Morcellation During Surgery on the Outcomes of Patients with Apparently Early Low-Grade Endometrial Stromal Sarcoma of the Uterus. Annals of Surgical Oncology. 18(12). 3453–3461. 65 indexed citations
16.
Kim, Young‐Tak, et al.. (2009). Clearance of human papillomavirus infection after successful conization in patients with cervical intraepithelial neoplasia. International Journal of Cancer. 126(8). 1903–1909. 60 indexed citations
17.
Park, Jeong‐Yeol, Dae‐Yeon Kim, Jong-Hyeok Kim, et al.. (2009). Human Papillomavirus Test After Conization in Predicting Residual Disease in Subsequent Hysterectomy Specimens. Obstetrics and Gynecology. 114(1). 87–92. 18 indexed citations
18.
Park, Jeong‐Yeol, Dae‐Yeon Kim, Dae‐Shik Suh, et al.. (2008). Role of PET or PET/CT in the post-therapy surveillance of uterine sarcoma. Gynecologic Oncology. 109(2). 255–262. 36 indexed citations
19.
Konno, Ryo, Hai-Rim Shin, Young‐Tak Kim, et al.. (2008). Human Papillomavirus Infection and Cervical Cancer Prevention in Japan and Korea. Vaccine. 26. M30–M42. 55 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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