Hye Won Chung

1.9k citations
76 papers · 1.3k indexed · h-index 20

Hye Won Chung

76 papers receiving 1.3k citations

Peers

Hye Won Chung
Comparison fields: 5 of 135
  • Reproductive Medicine 368
  • Obstetrics and Gynecology 202
  • Pediatrics, Perinatology and Child Health 172
  • Public Health, Environmental and Occupational Health 243
  • Orthopedics and Sports Medicine 63
Replace Nicolás Mendoza with:
Nicolás Mendoza Spain
José Mendes Aldrighi Brazil
Anne Marie Z. Jukic United States
Martin Birkhäuser Switzerland
Rod Baber Australia
Francisco Pérez‐Bravo Chile
Fahimeh Ramezani Tehrani Iran
Patrice Lopès France
Sarina Schrager United States
Saeideh Ziaei Iran
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Citations per year

Countries citing papers authored by Hye Won Chung

Since Specialization
Citations

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

Fields of papers citing papers by Hye Won Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Hye Won Chung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hye Won Chung Line = papers co-authored together Hye Won Chung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20221
3 20219
4 20216
5 202033
6 201823
7 201511
8 201441
9 201010
10
Transabdominal Ultrasound Assessment of the Polycystic Ovary Syndrome
20091
11
The expression of Thymosin beta4 with angiogenic factors in epithelial ovarian cancer
20081
12
The expression of annexin I and thymosin beta4 in cervical cancer.
20082
13 200829
14 200722
15
Association of the COMT Gene Polymorphism with the Risk of PCOS in Korean Women
20061
16 200612
17 20051
18 200362
19
Ultrasonography of the Trigger Fingers: Emphasis on Findings of Annular Pulley.
20032
20
Association Study of the Relationship between Endometriosis and Polymorphism of p53 Codon 72.
20022

About Hye Won Chung

Hye Won Chung is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Medical Laboratory Technology, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ovarian function and disorders (14 papers), Endometriosis Research and Treatment (12 papers), Uterine Myomas and Treatments (9 papers), Ovarian cancer diagnosis and treatment (8 papers), Reproductive Biology and Fertility (7 papers), Nutrition, Health and Food Behavior (7 papers), Nutritional Studies and Diet (6 papers) and Reproductive System and Pregnancy (4 papers). The work is most often cited by research in Reproductive Medicine (368 citations), Obstetrics and Gynecology (202 citations) and Pediatrics, Perinatology and Child Health (172 citations). Hye Won Chung has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Kyungah Jeong, Sung Eun Hur, Sa Ra Lee, Hye Sung Moon, Ji Young Lee, Wha Young Kim, Eun Mee Kim, Ji‐Eun Lee, Yeon‐Ah Sung and Yan Wen. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

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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