Hyuck Chan Kwon

546 citations
15 papers · 421 indexed · h-index 8

Hyuck Chan Kwon

14 papers receiving 409 citations

Peers

Hyuck Chan Kwon
Comparison fields: 5 of 74
  • Reproductive Medicine 137
  • Endocrine and Autonomic Systems 40
  • Genetics 52
  • Public Health, Environmental and Occupational Health 132
  • Obstetrics and Gynecology 23
Replace Sylwia Słuczanowska-Głąbowska with:
Sylwia Słuczanowska-Głąbowska Poland
Sherin Bakhashab Saudi Arabia
Linyuan Wang Canada
Qiuwan Zhang China
Susana Belli Argentina
Chuyan Wu China
Tomoko Uchiyama Japan
Li Ling China
Seung Yun Cho South Korea
Hyuck Chan Kwon relative to Sylwia Słuczanowska-Głąbowska Poland Sylwia Słuczanowska-Głąbowska's profile →
Citations per field
00.5×3.6×
Sylwia Słuczanowska-Głąbowska · 1×
Citations per year

Countries citing papers authored by Hyuck Chan Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Hyuck Chan Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyuck Chan Kwon. 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 Hyuck Chan Kwon. The network helps show where Hyuck Chan Kwon may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Hyuck Chan Kwon, 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 Hyuck Chan Kwon Line = papers co-authored together Hyuck Chan Kwon links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20207
2 201441
3 200757
4 200732
5
Identification of High Risk Group of HPV associated with Cervical Cancer in Korean Women
20041
6 200363
7 20032
8
Effectiveness of Estradiol and Sildenafil supplement therapy in IVF-ET patients with thin endometrium.
20023
9 200296
10 200214
11
The effectiveness of endometrial thickness for prediction of implantation in IVF & ET.
20011
12
Analysis of Androgen Receptor Gene in Korean Patients with Androgen Insensitivity Syndrome.
20011
13
The Effect of GM-CSF Supplementation in Culture Medium in the Human IVF Programs.
20010
14 200057
15 200046

About Hyuck Chan Kwon

Hyuck Chan Kwon is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Genetics, having authored 15 papers that have together received 421 indexed citations. Recurring topics across this work include Ovarian function and disorders (3 papers), Reproductive Biology and Fertility (3 papers), Gynecological conditions and treatments (2 papers), Pluripotent Stem Cells Research (1 paper), Male Reproductive Health Studies (1 paper), Mesenchymal stem cell research (1 paper), Tissue Engineering and Regenerative Medicine (1 paper) and CNS Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Reproductive Medicine (137 citations), Endocrine and Autonomic Systems (40 citations) and Genetics (52 citations). Hyuck Chan Kwon has collaborated with scholars based in South Korea, Russia and United States. Frequent co-authors include Churl K. Min, Young Dong Park, Dong Wook Park, Hyun Joo, Dong Soon Choi, Hee‐Sug Ryu, Bum‐Kee Hong, Yangsoo Jang, Hyuck Moon Kwon and Hyun Seung Kim. Their work appears in journals such as Fertility and Sterility, Cancer Letters and American Journal of Hematology.

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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