Heung Yeol Kim

694 total citations
38 papers, 532 citations indexed

About

Heung Yeol Kim is a scholar working on Reproductive Medicine, Oncology and Obstetrics and Gynecology. According to data from OpenAlex, Heung Yeol Kim has authored 38 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Reproductive Medicine, 12 papers in Oncology and 12 papers in Obstetrics and Gynecology. Recurrent topics in Heung Yeol Kim's work include Endometriosis Research and Treatment (11 papers), Endometrial and Cervical Cancer Treatments (7 papers) and Ovarian cancer diagnosis and treatment (6 papers). Heung Yeol Kim is often cited by papers focused on Endometriosis Research and Treatment (11 papers), Endometrial and Cervical Cancer Treatments (7 papers) and Ovarian cancer diagnosis and treatment (6 papers). Heung Yeol Kim collaborates with scholars based in South Korea, United States and China. Heung Yeol Kim's co-authors include Ari Kim, Ji Young Lee, Ki Hyung Kim, Wan Kyu Eo, Suk Bong Koh, Min Hyung Jung, Yong Ji, Dong Soo Suh, Hong-Bae Kim and Dong Ock Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Maturitas.

In The Last Decade

Heung Yeol Kim

35 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heung Yeol Kim South Korea 14 199 182 175 111 93 38 532
Marek Grabiec Poland 15 250 1.3× 109 0.6× 235 1.3× 145 1.3× 152 1.6× 71 707
Maciej Kinalski Poland 13 124 0.6× 97 0.5× 146 0.8× 144 1.3× 177 1.9× 26 557
Małgorzata Walentowicz‐Sadlecka Poland 14 130 0.7× 94 0.5× 128 0.7× 52 0.5× 126 1.4× 40 488
Hideyuki Ohtake Japan 14 316 1.6× 115 0.6× 422 2.4× 179 1.6× 125 1.3× 19 789
Joachim Alfer Germany 14 135 0.7× 126 0.7× 143 0.8× 223 2.0× 315 3.4× 27 819
Alessandro Lucidi Italy 16 368 1.8× 154 0.8× 216 1.2× 35 0.3× 162 1.7× 47 742
Paweł Sadłecki Poland 13 105 0.5× 80 0.4× 121 0.7× 34 0.3× 127 1.4× 36 428
Shumpei Matsuura Japan 11 112 0.6× 154 0.8× 132 0.8× 72 0.6× 113 1.2× 19 490
Maxime Fastrez Belgium 12 147 0.7× 71 0.4× 214 1.2× 37 0.3× 83 0.9× 26 535
CF Singer Austria 13 434 2.2× 212 1.2× 496 2.8× 53 0.5× 78 0.8× 40 838

Countries citing papers authored by Heung Yeol Kim

Since Specialization
Citations

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

Fields of papers citing papers by Heung Yeol Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heung Yeol Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Heung Yeol Kim. A scholar is included among the top collaborators of Heung Yeol 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 Heung Yeol Kim. Heung Yeol 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, Heung Yeol, Wan Kyu Eo, Hong Bae Kim, et al.. (2019). Correlation of constitutive photomorphogenic 1 (COP1) and p27 tumor suppressor protein expression in ovarian cancer. Genes & Genomics. 41(8). 879–884. 7 indexed citations
2.
Kim, Heung Yeol, Wan Kyu Eo, Hong Bae Kim, et al.. (2019). Correlation of long interspersed element-1 open reading frame 1 and c-Met proto-oncogene protein expression in ovarian cancer. Genes & Genomics. 41(11). 1293–1299. 5 indexed citations
3.
Lee, Chulmin, et al.. (2018). What to do with troublesome hot flush?. SHILAP Revista de lepidopterología. 33(2). 141–149. 1 indexed citations
4.
Eo, Wan Kyu, Ki Hyung Kim, Eun Joo Park, et al.. (2018). Diagnostic accuracy of inflammatory markers for distinguishing malignant and benign ovarian masses. Journal of Cancer. 9(7). 1165–1172. 21 indexed citations
5.
Kim, Heung Yeol, Ji Young Lee, Wan Kyu Eo, et al.. (2017). Long interspersed element-1 open reading frame 1 protein expression profiles in ovarian cancers. Genes & Genomics. 39(10). 1157–1162. 5 indexed citations
6.
Eo, Wan Kyu, Byung Su Kwon, Ki Hyung Kim, et al.. (2017). Monocytosis as a prognostic factor for survival in stage IB and IIA cervical cancer. Journal of Cancer. 9(1). 64–70. 8 indexed citations
8.
Eo, Wan Kyu, Sanghoon Kwon, Suk Bong Koh, et al.. (2016). The Lymphocyte-Monocyte Ratio Predicts Patient Survival and Aggressiveness of Endometrial Cancer. Journal of Cancer. 7(5). 538–545. 43 indexed citations
9.
Eo, Wan Kyu, Hye Jung Chang, Suk Bong Koh, et al.. (2016). The Lymphocyte-Monocyte Ratio Predicts Patient Survival and Aggressiveness of Ovarian Cancer. Journal of Cancer. 7(3). 289–296. 90 indexed citations
10.
Kim, Ari, Ji Young Lee, Sungwook Chun, & Heung Yeol Kim. (2015). Diagnostic utility of three-dimensional power Doppler ultrasound for postmenopausal bleeding. Taiwanese Journal of Obstetrics and Gynecology. 54(3). 221–226. 10 indexed citations
11.
Kim, Ari, et al.. (2014). Detection of endometrial and subendometrial vasculature on the day of embryo transfer and prediction of pregnancy during fresh in vitro fertilization cycles. Taiwanese Journal of Obstetrics and Gynecology. 53(3). 360–365. 53 indexed citations
12.
Kim, Ki Hyung, Yun‐Jeong Kang, Mee Sun Ock, et al.. (2014). DDX4 (DEAD box polypeptide 4) colocalizes with cancer stem cell marker CD133 in ovarian cancers. Biochemical and Biophysical Research Communications. 447(2). 315–322. 28 indexed citations
13.
Joo, Bo Sun, et al.. (2014). Prediction of preterm delivery using levels of vascular endothelial growth factor and leptin in amniotic fluid from the second trimester. Archives of Gynecology and Obstetrics. 291(2). 265–271. 5 indexed citations
14.
Kim, Heung Yeol, et al.. (2013). Promising treatment results of adjuvant chemotherapy following radical hysterectomy for intermediate risk stage 1B cervical cancer. Obstetrics & Gynecology Science. 56(1). 15–15. 20 indexed citations
15.
Kim, Heung Yeol, et al.. (2013). The Association Between Serum GGT Level and Bone Mineral Density in Postmenopausal Women. SHILAP Revista de lepidopterología. 28(1). 35–41. 1 indexed citations
16.
Lee, Bo‐Young, Yun‐Jeong Kang, Heung Yeol Kim, et al.. (2012). Expression Patterns of Thymosin β4 and Cancer Stem Cell Marker CD133 in Ovarian Cancers. Pathology & Oncology Research. 19(2). 237–245. 14 indexed citations
17.
Kim, Heung Yeol, Min Jung Park, Bo Sun Joo, et al.. (2011). Up-regulation of inhibitors of DNA binding/differentiation gene during alendronate-induced osteoblast differentiation. Archives of Gynecology and Obstetrics. 285(5). 1331–1338. 18 indexed citations
18.
Lee, Dong Ock, Min Hyung Jung, & Heung Yeol Kim. (2011). Prospective comparison of biopsy results from curettage and hysteroscopy in postmenopausal uterine bleeding. Journal of obstetrics and gynaecology research. 37(10). 1423–1426. 34 indexed citations
19.
Kim, Nam Soo, Yun‐Jeong Kang, Heung Yeol Kim, et al.. (2011). Elevated Expression of Thymosin β4, Vascular Endothelial Growth Factor (VEGF), and Hypoxia Inducible Factor (HIF)-1α in Early-Stage Cervical Cancers. Pathology & Oncology Research. 17(3). 493–502. 28 indexed citations
20.
Kim, Heung Yeol, et al.. (2003). Aggressive Angiomyxoma of the Vagina after Menopause. 14(2). 167–167.

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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