Se Ik Kim

3.0k total citations
126 papers, 1.7k citations indexed

About

Se Ik Kim is a scholar working on Reproductive Medicine, Oncology and Obstetrics and Gynecology. According to data from OpenAlex, Se Ik Kim has authored 126 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Reproductive Medicine, 44 papers in Oncology and 37 papers in Obstetrics and Gynecology. Recurrent topics in Se Ik Kim's work include Ovarian cancer diagnosis and treatment (61 papers), Endometrial and Cervical Cancer Treatments (34 papers) and PARP inhibition in cancer therapy (18 papers). Se Ik Kim is often cited by papers focused on Ovarian cancer diagnosis and treatment (61 papers), Endometrial and Cervical Cancer Treatments (34 papers) and PARP inhibition in cancer therapy (18 papers). Se Ik Kim collaborates with scholars based in South Korea, United States and Ethiopia. Se Ik Kim's co-authors include Yong Sang Song, Hee Seung Kim, Maria Lee, Jae‐Weon Kim, Hyun Hoon Chung, Youngjin Han, Myong Cheol Lim, Noh Hyun Park, Sang‐Soo Seo and Danny N. Dhanasekaran and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Se Ik 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
Se Ik Kim South Korea 21 704 504 504 476 313 126 1.7k
Chad M. Michener United States 24 562 0.8× 411 0.8× 498 1.0× 382 0.8× 225 0.7× 98 1.6k
Valerio Gaetano Vellone Italy 29 752 1.1× 443 0.9× 802 1.6× 383 0.8× 180 0.6× 136 2.2k
Line Bjørge Norway 32 683 1.0× 633 1.3× 1.0k 2.1× 583 1.2× 231 0.7× 138 2.9k
Laura Zanotti Italy 27 732 1.0× 546 1.1× 369 0.7× 527 1.1× 352 1.1× 76 1.9k
Ilan Bruchim Israel 24 498 0.7× 916 1.8× 393 0.8× 646 1.4× 463 1.5× 101 2.2k
Fabian Trillsch Germany 25 712 1.0× 802 1.6× 456 0.9× 577 1.2× 568 1.8× 128 2.1k
Steven C. Plaxe United States 24 745 1.1× 294 0.6× 706 1.4× 623 1.3× 136 0.4× 102 1.8k
Ivo Meinhold‐Heerlein Germany 27 956 1.4× 800 1.6× 589 1.2× 528 1.1× 407 1.3× 133 2.5k
Christopher S. Awtrey United States 16 442 0.6× 416 0.8× 245 0.5× 229 0.5× 218 0.7× 31 1.3k
John P. Geisler United States 27 926 1.3× 684 1.4× 678 1.3× 563 1.2× 299 1.0× 99 2.3k

Countries citing papers authored by Se Ik Kim

Since Specialization
Citations

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

Fields of papers citing papers by Se Ik Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Se Ik Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Se Ik Kim. A scholar is included among the top collaborators of Se Ik 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 Se Ik Kim. Se Ik 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, Se Ik, et al.. (2025). Comparison of Second-Line Chemotherapies for First-Relapsed High-Grade Serous Ovarian Cancer: A Retrospective Study. Journal of Clinical Medicine. 14(19). 6905–6905.
2.
3.
Lee, Juwon, Youngjin Han, Soochi Kim, et al.. (2024). Stearoyl-CoA desaturase 1 inhibition induces ER stress-mediated apoptosis in ovarian cancer cells. Journal of Ovarian Research. 17(1). 73–73. 7 indexed citations
4.
Kim, Se Ik, et al.. (2024). Elevation of circulating neutrophil extracellular traps in endometrial cancer: Poor prognostic value of cell-free double-stranded DNA. Translational Oncology. 49. 102072–102072. 2 indexed citations
5.
Lee, Young Joo, Se Ik Kim, Yoo-Young Lee, et al.. (2024). Chemotherapy response score no longer predicts survival outcomes in high-grade serous ovarian cancer patients with BRCA mutation and/or maintenance therapy. Journal of Gynecologic Oncology. 35(6). e73–e73. 1 indexed citations
6.
Shim, Seung‐Hyuk, Jung‐Yun Lee, Yoo-Young Lee, et al.. (2024). Major clinical research advances in gynecologic cancer in 2023: a tumultuous year for endometrial cancer. Journal of Gynecologic Oncology. 35(2). e66–e66. 1 indexed citations
7.
Kim, Se Ik, Hee Seung Kim, Hyun Hoon Chung, et al.. (2023). Proteomic Discovery of Plasma Protein Biomarkers and Development of Models Predicting Prognosis of High-Grade Serous Ovarian Carcinoma. Molecular & Cellular Proteomics. 22(3). 100502–100502. 10 indexed citations
8.
Kim, Se Ik, Jeong Hwan Park, Hee Seung Kim, et al.. (2023). Clinical implications of histologic subtypes on survival outcomes in primary mucinous ovarian carcinoma. Gynecologic Oncology. 177. 117–124. 4 indexed citations
9.
Tan, David S.P., Noriko Fujiwara, Keiichi Fujiwara, et al.. (2023). The Asia-Pacific Gynecologic Oncology Trials Group (APGOT): building a Pan-Asian and Oceania women’s cancer research organization. Journal of Gynecologic Oncology. 34(2). e33–e33.
10.
Lee, Jung‐Yun, Yoo-Young Lee, Jeong‐Yeol Park, et al.. (2023). Major clinical research advances in gynecologic cancer in 2022: highlight on late-line PARP inhibitor withdrawal in ovarian cancer, the impact of ARIEL-4, and SOLO-3. Journal of Gynecologic Oncology. 34(2). e51–e51. 9 indexed citations
11.
Kim, Se Ik, Ju-Hyun Kim, Kyung Jin Eoh, et al.. (2021). Development of Machine Learning Models to Predict Platinum Sensitivity of High-Grade Serous Ovarian Carcinoma. Cancers. 13(8). 1875–1875. 21 indexed citations
12.
Kim, Se Ik, Sungyoung Lee, Chel Hun Choi, et al.. (2021). Machine Learning Models to Predict Survival Outcomes According to the Surgical Approach of Primary Radical Hysterectomy in Patients with Early Cervical Cancer. Cancers. 13(15). 3709–3709. 11 indexed citations
13.
Park, Soo Jin, Eun Ji Lee, Se Ik Kim, et al.. (2020). Clinical Desire for an Artificial Intelligence–Based Surgical Assistant System: Electronic Survey–Based Study. JMIR Medical Informatics. 8(5). e17647–e17647. 5 indexed citations
14.
Kim, Se Ik, Sangseob Leem, Jinho Yang, et al.. (2020). Metagenomic Analysis of Serum Microbe-Derived Extracellular Vesicles and Diagnostic Models to Differentiate Ovarian Cancer and Benign Ovarian Tumor. Cancers. 12(5). 1309–1309. 53 indexed citations
15.
16.
Yang, Changwon, Hee Seung Kim, Soo Jin Park, et al.. (2019). Inhibition of miR-214-3p Aids in Preventing Epithelial Ovarian Cancer Malignancy by Increasing the Expression of LHX6. Cancers. 11(12). 1917–1917. 28 indexed citations
17.
Paik, E Sun, Yong Jae Lee, Jung‐Yun Lee, et al.. (2019). Real-World Experience of Olaparib Maintenance in High-Grade Serous Recurrent Ovarian Cancer Patients with BRCA1/2 Mutation: A Korean Multicenter Study. Journal of Clinical Medicine. 8(11). 1920–1920. 9 indexed citations
18.
Kim, Se Ik, et al.. (2018). Ovarian Cancer Prognostic Prediction Model Using RNA Sequencing Data. Genomics & Informatics. 16(4). e32–e32.
19.
Kim, Se Ik, Young Dae Kim, Hye Seung Lee, & Byung Chul Jee. (2012). A case of mesenteric cyst confused with ovarian endometrioma. Korean Journal of Obstetrics & Gynecology. 55(9). 683–683. 1 indexed citations
20.
Kim, Se Ik, Young Dae Kim, Hye Seung Lee, & Byung Chul Jee. (2012). A case of mesenteric cyst confused with ovarian endometrioma. Korean Journal of Obstetrics & Gynecology. 55(9). 683–683. 2 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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