Hyuna Yang

2.2k total citations
23 papers, 1.6k citations indexed

About

Hyuna Yang is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Hyuna Yang has authored 23 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Genetics and 3 papers in Physiology. Recurrent topics in Hyuna Yang's work include Genetic Mapping and Diversity in Plants and Animals (9 papers), Gene expression and cancer classification (4 papers) and Genetic and phenotypic traits in livestock (3 papers). Hyuna Yang is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (9 papers), Gene expression and cancer classification (4 papers) and Genetic and phenotypic traits in livestock (3 papers). Hyuna Yang collaborates with scholars based in United States, Germany and Italy. Hyuna Yang's 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 and has published in prestigious journals such as Nature Genetics, Bioinformatics and Gastroenterology.

In The Last Decade

Hyuna Yang

19 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hyuna Yang United States	14	722	686	299	124	118	23	1.6k
Michael Cheeseman United Kingdom	24	954 1.3×	528 0.8×	201 0.7×	67 0.5×	138 1.2×	76	2.1k
Richard J. Noel Puerto Rico	18	733 1.0×	417 0.6×	165 0.6×	77 0.6×	66 0.6×	46	1.6k
Janis Wigginton United States	8	586 0.8×	838 1.2×	211 0.7×	51 0.4×	93 0.8×	10	1.9k
Loan Nguyen United States	26	1.2k 1.6×	543 0.8×	248 0.8×	177 1.4×	289 2.4×	79	2.1k
Jimmy Z. Liu United States	14	899 1.2×	1.1k 1.6×	256 0.9×	55 0.4×	87 0.7×	20	2.2k
Keiji Tamaki Japan	26	1.6k 2.2×	951 1.4×	254 0.8×	274 2.2×	227 1.9×	123	2.7k
Aaron Isaacs Netherlands	13	505 0.7×	936 1.4×	102 0.3×	188 1.5×	181 1.5×	16	1.8k
Leslie Ingram-Drake United States	14	693 1.0×	694 1.0×	131 0.4×	65 0.5×	72 0.6×	15	1.5k
Laura L. Stuvé United States	11	729 1.0×	864 1.3×	170 0.6×	138 1.1×	76 0.6×	17	1.5k
Nasa Sinnott-Armstrong United States	20	1.1k 1.5×	755 1.1×	101 0.3×	117 0.9×	150 1.3×	32	2.1k

Countries citing papers authored by Hyuna Yang

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Hyuna Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hyuna Yang. A scholar is included among the top collaborators of Hyuna Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hyuna Yang. Hyuna Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Churchill, Gary A., Frank Staedtler, Ron Korstanje, et al.. (2020). Genome-Wide Association Mapping of Quantitative Traits in Outbred Mice. UNC Libraries.

Didion, John P., Michael W. Nachman, François Bonhomme, et al.. (2020). Subspecific origin and haplotype diversity in the laboratory mouse. UNC Libraries.

Yang, Hyuna, et al.. (2018). Prescription Fill Rates for Acute and Chronic Medications in Claims-EMR Linked Data. Value in Health. 21. S110–S110. 2 indexed citations

Park, Yoonyoung, et al.. (2018). Prescription fill rates for acute and chronic medications in claims-EMR linked data. Medicine. 97(44). e13110–e13110. 14 indexed citations

Šimeček, Petr, Gary A. Churchill, Hyuna Yang, et al.. (2015). Genetic Analysis of Substrain Divergence in Non-Obese Diabetic (NOD) Mice. G3 Genes Genomes Genetics. 5(5). 771–775. 19 indexed citations

Bratcher, Natalie A., Donna R. Davila, Brian D. Dayton, et al.. (2014). Enrichment with wood blocks does not affect toxicity assessment in an exploratory toxicology model using Sprague-Dawley rats.. PubMed. 53(3). 246–60. 2 indexed citations

Zhu, Li, Xiaoming Wang, Xinlei Li, et al.. (2013). Epigenetic dysregulation of SHANK3 in brain tissues from individuals with autism spectrum disorders. Human Molecular Genetics. 23(6). 1563–1578. 109 indexed citations

Strucken, Eva M., et al.. (2013). Effect of the myostatin locus on muscle mass and intramuscular fat content in a cross between mouse lines selected for hypermuscularity. BMC Genomics. 14(1). 16–16. 12 indexed citations

Murphy, Susan K., Hyuna Yang, Cynthia A. Moylan, et al.. (2013). Relationship Between Methylome and Transcriptome in Patients With Nonalcoholic Fatty Liver Disease. Gastroenterology. 145(5). 1076–1087. 298 indexed citations

10.

Didion, John P., Hyuna Yang, Keith Sheppard, et al.. (2012). Discovery of novel variants in genotyping arrays improves genotype retention and reduces ascertainment bias. BMC Genomics. 13(1). 34–34. 50 indexed citations

11.

Moylan, Cynthia A., Hyuna Yang, Herbert Pang, et al.. (2012). 823 Epigenetic Regulation of Gene Expression in NAFLD. Gastroenterology. 142(5). S–929.

12.

Zhang, Weidong, Ron Korstanje, Jill Thaisz, et al.. (2012). Genome-Wide Association Mapping of Quantitative Traits in Outbred Mice. G3 Genes Genomes Genetics. 2(2). 167–174. 39 indexed citations

13.

Cheng, Riyan, Armin O. Schmitt, Hyuna Yang, et al.. (2011). Genetic determinants for intramuscular fat content and water-holding capacity in mice selected for high muscle mass. Mammalian Genome. 22(9-10). 530–543. 18 indexed citations

14.

Crowley, James J., Yunjung Kim, Jin Szatkiewicz, et al.. (2011). Genome-wide association mapping of loci for antipsychotic-induced extrapyramidal symptoms in mice. Mammalian Genome. 23(5-6). 322–335. 28 indexed citations

15.

Yang, Hyuna, Jeremy Wang, John P. Didion, et al.. (2011). Subspecific origin and haplotype diversity in the laboratory mouse. Nature Genetics. 43(7). 648–655. 340 indexed citations

16.

Yang, Hyuna, Yueming Ding, Lucie N. Hutchins, et al.. (2009). A customized and versatile high-density genotyping array for the mouse. Nature Methods. 6(9). 663–666. 190 indexed citations

17.

Yang, Hyuna, Benjamin E. Low, Abhijit Guha, et al.. (2008). Cancer Stem Cells Are Enriched in the Side Population Cells in a Mouse Model of Glioma. Cancer Research. 68(24). 10051–10059. 122 indexed citations

18.

Yang, Hyuna, Christina A. Harrington, Kristina Vartanian, et al.. (2008). Randomization in Laboratory Procedure Is Key to Obtaining Reproducible Microarray Results. PLoS ONE. 3(11). e3724–e3724. 30 indexed citations

19.

Yang, Hyuna, Timothy A. Bell, Gary A. Churchill, & Fernando Pardo‐Manuel de Villena. (2007). On the subspecific origin of the laboratory mouse. Nature Genetics. 39(9). 1100–1107. 234 indexed citations

20.

Yang, Hyuna & Gary A. Churchill. (2006). Estimatingp-values in small microarray experiments. Bioinformatics. 23(1). 38–43. 54 indexed citations

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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