Hye Eun Kwon

424 citations
31 papers · 300 · h-index 9

Impact in

Papers in

Hye Eun Kwon

24 papers receiving 294 citations

Peers

Hye Eun Kwon
Comparison fields: 5 of 59
  • Psychiatry and Mental health 95
  • Transplantation 13
  • Reproductive Medicine 40
  • Biological Psychiatry 10
  • Obstetrics and Gynecology 24
Replace Péter Szakály with:
Péter Szakály Hungary
Jiangtao Zhang China
D. G. Szabó Hungary
So Hee Eun South Korea
Kaori Kawakami Japan
Emanuel Voyiaziakis United States
Adam Millar Canada
Tang Jiang China
Philip Siebel Germany
Chandrasekhar Thota United States
Hye Eun Kwon relative to Péter Szakály Hungary Péter Szakály's profile →
Citations per field
00.5×3.6×
Péter Szakály · 1×
Citations per year

Countries citing papers authored by Hye Eun Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Hye Eun Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200472
2 201646
3 201838
4 202132
5 201029
6 202212
7 201911
8 20219
9 20209
10 20147
11 20135
12 20235
13 20204
14 20214
15 20213
16 20232
17 20242
18 20232
19 20192
20
Expression of Vascular Endothelial Growth Factor Receptor mRNA in Eutopic and Ectopic Endometrial Tissues of Patients with Endometriosis
20041

About Hye Eun Kwon

Hye Eun Kwon is a scholar working on Transplantation, Psychiatry and Mental health, Surgery, Clinical Biochemistry and Molecular Biology, having authored 31 papers that have together received 300 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (6 papers), Renal Transplantation Outcomes and Treatments (6 papers), Epilepsy research and treatment (6 papers), Diet and metabolism studies (4 papers), Organ Transplantation Techniques and Outcomes (3 papers), Endometriosis Research and Treatment (2 papers), Parvovirus B19 Infection Studies (2 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Psychiatry and Mental health (95 citations), Transplantation (13 citations), Reproductive Medicine (40 citations), Biological Psychiatry (10 citations) and Obstetrics and Gynecology (24 citations). Hye Eun Kwon has collaborated with scholars based in South Korea, United States and Mongolia. Frequent co-authors include Hugh S. Taylor, Heung Dong Kim, Ara Ko, Joon Soo Lee, Hoon‐Chul Kang, Dong Seok Kim, Soyong Eom, Leo Doherty, Se Hoon Kim and Young‐Mock Lee. Their work appears in journals such as Scientific Reports, International Journal of Surgery, BMC Nephrology, Medicine and Biomedical Journal.

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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