Hye-Won Song
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- CRISPR and Genetic Engineering
Papers in
-
- RNA Research and Splicing 4
- Epigenetics and DNA Methylation 2
- Renal and related cancers 2
- Genomics and Chromatin Dynamics 2
- RNA and protein synthesis mechanisms 2
- Genetics 2
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1
- Animal Genetics and Reproduction 1
- Co-authors
- Miles Wilkinson (6 shared papers)Lulu Huang (3 shared papers)Eleen Y. Shum (3 shared papers)Rachid Karam (2 shared papers)Dirk G. de Rooij (2 shared papers)Dana Burow (1 shared paper)Elena Vicini (1 shared paper)Anjana Bhardwaj (2 shared papers)
- Journals
- Molecular Cell (2 papers)Cell Reports (1 paper)Cell (1 paper)Reproduction (1 paper)Differentiation (1 paper)
- Partner nations
- United StatesNetherlandsSouth Korea
In The Last Decade
Hye-Won Song
9 papers receiving 862 citations
Peers
Comparison fields: 5 of 65
- Reproductive Medicine 148
- Molecular Biology 675
- Cancer Research 119
- Aging 10
- Genetics 129
Countries citing papers authored by Hye-Won Song
This map shows the geographic impact of Hye-Won Song'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 Song 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 Song more than expected).
Fields of papers citing papers by Hye-Won Song
This network shows the impact of papers produced by Hye-Won Song. 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 Song. The network helps show where Hye-Won Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Hye-Won Song, 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 | 239 | |
| 2 | 2019 | 231 | |
| 3 | 2011 | 175 | |
| 4 | 2016 | 125 | |
| 5 | 2007 | 29 | |
| 6 | 2012 | 19 | |
| 7 | 2016 | 18 | |
| 8 | 2012 | 18 | |
| 9 | 2002 | 13 |
About Hye-Won Song
Hye-Won Song is a scholar working on Molecular Biology, Genetics, Reproductive Medicine, Oncology and Plant Science, having authored 9 papers that have together received 867 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Epigenetics and DNA Methylation (2 papers), Sperm and Testicular Function (2 papers), Renal and related cancers (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA and protein synthesis mechanisms (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Reproductive Medicine (148 citations), Molecular Biology (675 citations), Cancer Research (119 citations), Aging (10 citations) and Genetics (129 citations). Hye-Won Song has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Miles Wilkinson, Lulu Huang, Eleen Y. Shum, Rachid Karam, Dirk G. de Rooij, Dana Burow, Elena Vicini, Anjana Bhardwaj, Raja Rabah and Kun Tan. Their work appears in journals such as Molecular Cell, Cell Reports, Cell, Reproduction and Differentiation.
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.