Hyo Won Ahn
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
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- Reproductive Biology and Fertility
Papers in
-
- Renal and related cancers 2
- Epigenetics and DNA Methylation 1
- Genetics 3
- Genomic variations and chromosomal abnormalities 2
- Estrogen and related hormone effects 1
- Genomics and Rare Diseases 1
- Co-authors
- Aleksandar Rajkovic (3 shared papers)Hitomi Suzuki (2 shared papers)Tianjiao Chu (1 shared paper)Kyle E. Orwig (1 shared paper)Kathrin Gassei (1 shared paper)Ryan D. Morin (1 shared paper)Aleksandar Milosavljevic (1 shared paper)Marco A. Marra (1 shared paper)
- Journals
- Fertility and Sterility (1 paper)Developmental Biology (1 paper)Molecular Human Reproduction (1 paper)RNA Biology (1 paper)EMBO Reports (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Hyo Won Ahn
12 papers receiving 506 citations
Peers
Comparison fields: 5 of 51
- Reproductive Medicine 148
- Public Health, Environmental and Occupational Health 205
- Cancer Research 95
- Genetics 152
- Molecular Biology 251
Countries citing papers authored by Hyo Won Ahn
This map shows the geographic impact of Hyo Won 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 Hyo Won Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyo Won Ahn more than expected).
Fields of papers citing papers by Hyo Won Ahn
This network shows the impact of papers produced by Hyo Won 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 Hyo Won Ahn. The network helps show where Hyo Won Ahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Hyo Won Ahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 162 | |
| 2 | 2010 | 119 | |
| 3 | 2011 | 80 | |
| 4 | 2017 | 58 | |
| 5 | 2020 | 31 | |
| 6 | 2009 | 25 | |
| 7 | 2015 | 11 | |
| 8 | 2017 | 10 | |
| 9 | 2019 | 10 | |
| 10 | 2008 | 4 | |
| 11 | 2022 | 3 | |
| 12 | Progesterone and interferon tau regulated genes in the endometrium of the ovine uterus and expression of interferon stimulated genes in the corpus luteum during early pregnancy in sheep | 2008 | 1 |
About Hyo Won Ahn
Hyo Won Ahn is a scholar working on Molecular Biology, Genetics, Immunology, Public Health, Environmental and Occupational Health and Plant Science, having authored 12 papers that have together received 514 indexed citations. Recurring topics across this work include Renal and related cancers (2 papers), MicroRNA in disease regulation (2 papers), Reproductive System and Pregnancy (2 papers), Reproductive Biology and Fertility (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Estrogen and related hormone effects (1 paper), Genomics and Rare Diseases (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Reproductive Medicine (148 citations), Public Health, Environmental and Occupational Health (205 citations), Cancer Research (95 citations), Genetics (152 citations) and Molecular Biology (251 citations). Hyo Won Ahn has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Aleksandar Rajkovic, Hitomi Suzuki, Tianjiao Chu, Kyle E. Orwig, Kathrin Gassei, Ryan D. Morin, Aleksandar Milosavljevic, Marco A. Marra, Han Zhao and Megan McGuire. Their work appears in journals such as Fertility and Sterility, Developmental Biology, Molecular Human Reproduction, RNA Biology and EMBO Reports.
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.