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
- Genetics and Neurodevelopmental Disorders
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
Papers in
-
- Medication Adherence and Compliance 2
- Co-authors
- Gary A. ChurchillTimothy A. BellFernando Pardo‐Manuel de VillenaFernando Pardo-Manuel de VillenaLeonard McMillanJohn P. DidionSusan K. MurphyMichael A. Hauser
- Journals
- Nature Genetics (2 papers)G3 Genes Genomes Genetics (2 papers)BMC Genomics (2 papers)Mammalian Genome (2 papers)Gastroenterology (2 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Hyuna Yang
19 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 113
- Genetics 686
- Molecular Biology 722
- Epidemiology 299
- Aging 15
- Cancer Research 118
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 0 | |
| 2 | 2020 | 0 | |
| 3 | 2018 | 2 | |
| 4 | 2018 | 14 | |
| 5 | 2015 | 19 | |
| 6 | Enrichment with wood blocks does not affect toxicity assessment in an exploratory toxicology model using Sprague-Dawley rats. | 2014 | 2 |
| 7 | 2013 | 109 | |
| 8 | 2013 | 12 | |
| 9 | 2013 | 298 | |
| 10 | 2012 | 50 | |
| 11 | 2012 | 0 | |
| 12 | 2012 | 39 | |
| 13 | 2011 | 18 | |
| 14 | 2011 | 28 | |
| 15 | 2011 | 340 | |
| 16 | 2009 | 190 | |
| 17 | 2008 | 122 | |
| 18 | 2008 | 30 | |
| 19 | 2007 | 234 | |
| 20 | 2006 | 54 |
About Hyuna Yang
Hyuna Yang is a scholar working on Family Practice, Geriatrics and Gerontology, Genetics, Toxicology and Molecular Biology, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (9 papers), Gene expression and cancer classification (4 papers), Genetic and phenotypic traits in livestock (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Genetic Associations and Epidemiology (2 papers), Single-cell and spatial transcriptomics (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Medication Adherence and Compliance (2 papers). The work is most often cited by research in Genetics (686 citations), Molecular Biology (722 citations), Epidemiology (299 citations), Aging (15 citations) and Cancer Research (118 citations). Hyuna Yang has collaborated with scholars based in United States, Germany and Italy. 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, Susan K. Murphy, Michael A. Hauser, Manal F. Abdelmalek and Ayako Suzuki. Their work appears in journals such as Nature Genetics, G3 Genes Genomes Genetics, BMC Genomics, Mammalian Genome and Gastroenterology.
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.