Eun Hee Ahn

1.0k citations
64 papers · 760 · h-index 14

Impact in

Papers in

Eun Hee Ahn

63 papers receiving 748 citations

Peers

Eun Hee Ahn
Comparison fields: 5 of 75
  • Obstetrics and Gynecology 215
  • Reproductive Medicine 155
  • Immunology 173
  • Pediatrics, Perinatology and Child Health 132
  • Cancer Research 99
Replace Tracy Niven‐Fairchild with:
Tracy Niven‐Fairchild United States
Tsung‐Hsuan Lai Taiwan
Chuan-Ling Tang China
Kathleen A. Groesch United States
Jing Fu China
Akemi Ushijima Japan
Liyi Cai Japan
M. R. Caudle United States
Fernanda Mafra Brazil
Eun Hee Ahn relative to Tracy Niven‐Fairchild United States Tracy Niven‐Fairchild's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eun Hee Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Eun Hee Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006111
2 202168
3 201734
4 200233
5 201931
6 200624
7 201722
8 201819
9 201818
10 202016
11 201516
12 201915
13 201514
14 201914
15 201714
16 201714
17 202114
18 200913
19 202013
20 201412

About Eun Hee Ahn

Eun Hee Ahn is a scholar working on Obstetrics and Gynecology, Immunology, Pediatrics, Perinatology and Child Health, Cancer Research and Reproductive Medicine, having authored 64 papers that have together received 760 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (21 papers), Pregnancy and preeclampsia studies (18 papers), Prenatal Screening and Diagnostics (8 papers), MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (7 papers), Ectopic Pregnancy Diagnosis and Management (6 papers), Assisted Reproductive Technology and Twin Pregnancy (5 papers) and Endometriosis Research and Treatment (5 papers). The work is most often cited by research in Obstetrics and Gynecology (215 citations), Reproductive Medicine (155 citations), Immunology (173 citations), Pediatrics, Perinatology and Child Health (132 citations) and Cancer Research (99 citations). Eun Hee Ahn has collaborated with scholars based in South Korea and United States. Frequent co-authors include Nam Keun Kim, Young Ran Kim, Woo Sik Lee, Jung Oh Kim, Ji Hyang Kim, Hui Jeong An, Sun Hee, Jin Ho Cho, Man Deuk Kim and Hee Young Cho. Their work appears in journals such as International Journal of Molecular Sciences, Maturitas, Biomedicines, PLoS ONE and Genes.

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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