Ki Hyung Kim

2.3k total citations
120 papers, 1.7k citations indexed

About

Ki Hyung Kim is a scholar working on Molecular Biology, Reproductive Medicine and Obstetrics and Gynecology. According to data from OpenAlex, Ki Hyung Kim has authored 120 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 34 papers in Reproductive Medicine and 33 papers in Obstetrics and Gynecology. Recurrent topics in Ki Hyung Kim's work include Endometrial and Cervical Cancer Treatments (24 papers), Ovarian cancer diagnosis and treatment (23 papers) and Endometriosis Research and Treatment (13 papers). Ki Hyung Kim is often cited by papers focused on Endometrial and Cervical Cancer Treatments (24 papers), Ovarian cancer diagnosis and treatment (23 papers) and Endometriosis Research and Treatment (13 papers). Ki Hyung Kim collaborates with scholars based in South Korea, United States and France. Ki Hyung Kim's co-authors include Dong Soo Suh, Jaebum Choo, Kyung Un Choi, Man Soo Yoon, Wan Kyu Eo, Byung Su Kwon, Yong Keun Kim, Namhyun Choi, Moonkwon Lee and Jae Suk Woo and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ki Hyung Kim

111 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ki Hyung Kim South Korea 22 465 390 328 230 228 120 1.7k
Yao‐Ching Hung Taiwan 33 763 1.6× 428 1.1× 501 1.5× 433 1.9× 525 2.3× 100 2.6k
Jun Shao China 25 536 1.2× 177 0.5× 573 1.7× 81 0.4× 469 2.1× 84 2.0k
Qiling Li China 22 263 0.6× 132 0.3× 106 0.3× 201 0.9× 147 0.6× 105 1.3k
Yanhong Wang China 22 352 0.8× 270 0.7× 50 0.2× 144 0.6× 67 0.3× 96 1.8k
Xiuhua Yang China 27 814 1.8× 158 0.4× 99 0.3× 68 0.3× 306 1.3× 73 1.8k
Bin Kong China 21 596 1.3× 150 0.4× 62 0.2× 71 0.3× 68 0.3× 47 1.6k
Xiaorong Qi China 20 412 0.9× 137 0.4× 172 0.5× 143 0.6× 251 1.1× 77 1.2k
Weidong Fei China 21 982 2.1× 225 0.6× 70 0.2× 91 0.4× 55 0.2× 61 2.0k
Hongbo Wang China 22 765 1.6× 301 0.8× 149 0.5× 121 0.5× 230 1.0× 99 1.8k
Sa Wang China 25 786 1.7× 468 1.2× 70 0.2× 99 0.4× 75 0.3× 84 2.7k

Countries citing papers authored by Ki Hyung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Ki Hyung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ki Hyung 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 Ki Hyung Kim. The network helps show where Ki Hyung Kim may publish in the future.

Co-authorship network of co-authors of Ki Hyung Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Ki Hyung Kim. A scholar is included among the top collaborators of Ki Hyung 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 Ki Hyung Kim. Ki Hyung 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.
Lim, Myong Cheol, Boram Park, Jung‐Yun Lee, et al.. (2024). Rationale and study design of the KOV-HIPEC-04: A phase III randomized controlled trial in primary stage III and IV ovarian cancer after interval cytoreductive surgery (FOCUS).. Journal of Clinical Oncology. 42(16_suppl). TPS5636–TPS5636. 2 indexed citations
2.
Koh, Suk Bong, Hong Bae Kim, Ji Young Lee, et al.. (2024). Correlation analysis of cancer stem cell marker CD133 and human endogenous retrovirus (HERV)-K env in SKOV3 ovarian cancer cells. Genes & Genomics. 46(4). 511–518. 4 indexed citations
3.
4.
Eo, Wan Kyu, Ki Hyung Kim, Ji Young Lee, et al.. (2021). Effects of thymosin β4-derived peptides on migration and invasion of ovarian cancer cells. Genes & Genomics. 43(8). 987–993. 3 indexed citations
5.
Kim, Seung Chul, et al.. (2020). Relationship Between Metabolic Syndrome and Bone Fracture Risk in Mid-Aged Korean Women Using FRAX Scoring System. Metabolic Syndrome and Related Disorders. 18(4). 219–224. 3 indexed citations
6.
Kim, Seung Chul, et al.. (2020). Dietary pattern and risk of endometrioma in Korean women: a case-control study. Obstetrics & Gynecology Science. 64(1). 99–106. 3 indexed citations
7.
Suh, Dong Soo, Byung Su Kwon, Nam Kyung Lee, et al.. (2019). Large cell neuroendocrine carcinoma arising from uterine endometrium with rapidly progressive course: report of a case and review of literature.. Europe PMC (PubMed Central). 12(4). 1412–1417. 3 indexed citations
8.
Lee, Jung‐Yun, Jeong‐Yeol Park, Sang‐Yoon Park, et al.. (2018). Real-world effectiveness of bevacizumab based on AURELIA in platinum-resistant recurrent ovarian cancer (REBECA): A Korean Gynecologic Oncology Group study (KGOG 3041). Gynecologic Oncology. 152(1). 61–67. 22 indexed citations
9.
Kwon, Byung Su, Hyun Joo Lee, Yong Jung Song, et al.. (2017). Prognostic value of preoperative lymphocyte-monocyte ratio in elderly patients with advanced epithelial ovarian cancer. Obstetrics & Gynecology Science. 60(6). 558–558. 2 indexed citations
10.
Lee, Chang Hun, Sun Hee Lee, Sun Hee Lee, et al.. (2016). Anal Human Papillomavirus Infection among HIV-Infected Men in Korea. PLoS ONE. 11(8). e0161460–e0161460. 21 indexed citations
11.
Lee, Nam Kyung, Kyung Un Choi, Byung Su Kwon, et al.. (2016). Pseudocarcinomatous hyperplasia of the fallopian tube mimicking tubal cancer: a radiological and pathological diagnostic challenge. Journal of Ovarian Research. 9(1). 79–79. 4 indexed citations
12.
13.
Joo, Bo Sun, et al.. (2014). Differential expression of pluripotent and germ cell markers in ovarian surface epithelium according to age in female mice. Reproductive Biology and Endocrinology. 12(1). 113–113. 6 indexed citations
14.
Kim, Ki Hyung, et al.. (2012). Optimizing time schedule of key updates in ISA100.11a. 1. 434–439. 1 indexed citations
15.
Choi, Namhyun, et al.. (2011). Application of Silver-Coated Magnetic Microspheres to a SERS-Based Optofluidic Sensor. The Journal of Physical Chemistry C. 115(14). 6290–6296. 75 indexed citations
16.
Kim, Ki Hyung, et al.. (2005). A Case of Coincidental Gonadoblastoma and Dysgerminoma in 45X/47XYY Mosaic Turner Variant. Obstetrics & Gynecology Science. 48(7). 1805–1810.
17.
Lee, Dong Hyung, Ki Hyung Kim, Yong Jin Na, et al.. (2005). Analysis of MTA1 gene expression for uterine cervical cancer by cDNA microarray and tissue array. Obstetrics & Gynecology Science. 48(11). 2607–2617. 1 indexed citations
18.
Park, Su Eun, et al.. (2004). A Study of Group B Streptococcal Infection in Pregnant Women, by LIM Broth Media. Korean Journal of Pediatrics. 47(10). 1072–1075. 8 indexed citations
19.
Lee, Dong Hyung, et al.. (2003). Two Cases of Swyer Syndrome in Sisters. Obstetrics & Gynecology Science. 46(10). 2060–2064.
20.
Kim, Ki Hyung, et al.. (2002). The Effect of 2-bromopropane, organic solvent on ovarian function of reproductive women: 7-years follow-up. Obstetrics & Gynecology Science. 45(9). 1578–1587. 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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