Hyuna Yang
Impact in
- Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genetic diversity and population structure
- Genetic Associations and Epidemiology
-
- Epigenetics and DNA Methylation
Papers in
-
- Gene expression and cancer classification 4
- Single-cell and spatial transcriptomics 2
- Genetics 9
- Genetic Mapping and Diversity in Plants and Animals 7
- Genetic and phenotypic traits in livestock 2
- Genomic variations and chromosomal abnormalities 2
- Co-authors
- Gary A. Churchill (12 shared papers)Timothy A. Bell (5 shared papers)Fernando Pardo‐Manuel de Villena (5 shared papers)Fernando Pardo-Manuel de Villena (4 shared papers)Leonard McMillan (3 shared papers)John P. Didion (3 shared papers)Michael A. Hauser (2 shared papers)Allison E. Ashley‐Koch (2 shared papers)
- Journals
- BMC Genomics (2 papers)G3 Genes Genomes Genetics (2 papers)Mammalian Genome (2 papers)Gastroenterology (2 papers)Nature Genetics (2 papers)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Hyuna Yang
21 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 108
- Genetics 642
- Molecular Biology 635
- Epidemiology 253
- Aging 14
- Hepatology 50
Countries citing papers authored by Hyuna Yang
This map shows the geographic impact of Hyuna Yang'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 Hyuna Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyuna Yang more than expected).
Fields of papers citing papers by Hyuna Yang
This network shows the impact of papers produced by Hyuna Yang. 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 Hyuna Yang. The network helps show where Hyuna Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hyuna Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 348 | |
| 2 | 2013 | 304 | |
| 3 | 2007 | 236 | |
| 4 | 2009 | 190 | |
| 5 | 2008 | 122 | |
| 6 | 2013 | 111 | |
| 7 | 2006 | 54 | |
| 8 | 2012 | 50 | |
| 9 | 2012 | 39 | |
| 10 | 2008 | 30 | |
| 11 | 2011 | 28 | |
| 12 | 2018 | 27 | |
| 13 | 2015 | 19 | |
| 14 | 2011 | 18 | |
| 15 | 2018 | 15 | |
| 16 | 2013 | 12 | |
| 17 | 2016 | 8 | |
| 18 | 2015 | 6 | |
| 19 | 2010 | 6 | |
| 20 | 2018 | 2 |
About Hyuna Yang
Hyuna Yang is a scholar working on Molecular Biology, Genetics, Surgery, Family Practice and Geriatrics and Gerontology, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Gene expression and cancer classification (4 papers), Single-cell and spatial transcriptomics (2 papers), Genetic and phenotypic traits in livestock (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Adipose Tissue and Metabolism (2 papers), Autism Spectrum Disorder Research (2 papers) and Pharmaceutical Practices and Patient Outcomes (2 papers). The work is most often cited by research in Genetics (642 citations), Molecular Biology (635 citations), Epidemiology (253 citations), Aging (14 citations) and Hepatology (50 citations). Hyuna Yang has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Gary A. Churchill, Timothy A. Bell, Fernando Pardo‐Manuel de Villena, Fernando Pardo-Manuel de Villena, Leonard McMillan, John P. Didion, Michael A. Hauser, Allison E. Ashley‐Koch, Anna Mae Diehl and Hans L. Tillmann. Their work appears in journals such as BMC Genomics, G3 Genes Genomes Genetics, Mammalian Genome, Gastroenterology and Nature Genetics.
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.