Da Hye Park

464 total citations
33 papers, 341 citations indexed

About

Da Hye Park is a scholar working on Molecular Biology, Animal Science and Zoology and Genetics. According to data from OpenAlex, Da Hye Park has authored 33 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Animal Science and Zoology and 13 papers in Genetics. Recurrent topics in Da Hye Park's work include Meat and Animal Product Quality (12 papers), Genetic and phenotypic traits in livestock (8 papers) and Animal Nutrition and Physiology (7 papers). Da Hye Park is often cited by papers focused on Meat and Animal Product Quality (12 papers), Genetic and phenotypic traits in livestock (8 papers) and Animal Nutrition and Physiology (7 papers). Da Hye Park collaborates with scholars based in South Korea, Czechia and United States. Da Hye Park's co-authors include Chul Wook Kim, Ho Seong Jang, Joon Soo Han, Woong Kim, Jung Hye Hwang, Tae Wan Kim, Il-Suk Kim, Sang-Je Park, Sam Woong Kim and Eun Jung Kwon and has published in prestigious journals such as PLoS ONE, Scientific Reports and Gene.

In The Last Decade

Da Hye Park

32 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Da Hye Park South Korea 10 108 88 81 80 78 33 341
Chenyu Tao China 9 148 1.4× 104 1.2× 120 1.5× 21 0.3× 10 0.1× 35 287
Tenghe Ma China 9 105 1.0× 8 0.1× 105 1.3× 29 0.4× 68 0.9× 22 347
Huimin Kang China 17 192 1.8× 24 0.3× 22 0.3× 344 4.3× 63 0.8× 45 585
Thi Hoa Nguyen Vietnam 11 68 0.6× 8 0.1× 25 0.3× 134 1.7× 112 1.4× 27 342
Gaihua Cao China 15 446 4.1× 19 0.2× 53 0.7× 20 0.3× 10 0.1× 25 500
Yu‐Shen Lai Taiwan 10 92 0.9× 38 0.4× 34 0.4× 30 0.4× 39 0.5× 22 338
Hongtao Zhang China 11 208 1.9× 34 0.4× 14 0.2× 53 0.7× 3 0.0× 15 436
Ruibin Xie China 11 199 1.8× 16 0.2× 22 0.3× 8 0.1× 14 0.2× 22 314

Countries citing papers authored by Da Hye Park

Since Specialization
Citations

This map shows the geographic impact of Da Hye Park'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 Da Hye Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Hye Park more than expected).

Fields of papers citing papers by Da Hye Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da Hye Park. 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 Da Hye Park. The network helps show where Da Hye Park may publish in the future.

Co-authorship network of co-authors of Da Hye Park

This figure shows the co-authorship network connecting the top 25 collaborators of Da Hye Park. A scholar is included among the top collaborators of Da Hye Park 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 Da Hye Park. Da Hye Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Park, Da Hye, Damini Kothari, Kai‐Min Niu, et al.. (2019). Effect of Fermented Medicinal Plants as Dietary Additives on Food Preference and Fecal Microbial Quality in Dogs. Animals. 9(9). 690–690. 16 indexed citations
2.
Hwang, Jung Hye, et al.. (2019). Hypomethylation in the promoter region of <i>ZPBP</i> as a potential litter size indicator in Berkshire pigs. Archives animal breeding/Archiv für Tierzucht. 62(1). 69–76. 3 indexed citations
3.
Hwang, Jung Hye, et al.. (2018). The identification of non-synonymous SNP in the Enoyl-CoA delta isomerase 2 (<i>ECI2</i>) gene and its Association with Meat Quality Traits in Berkshire pigs. Journal of the Korean Society of International Agriculture. 30(4). 277–284. 2 indexed citations
4.
Hwang, Jung Hye, et al.. (2018). Association of single-nucleotide polymorphisms in &lt;i&gt;NAT9 &lt;/i&gt;and &lt;i&gt;MAP3K3&lt;/i&gt; genes with litter size traits in Berkshire pigs. Archives animal breeding/Archiv für Tierzucht. 61(4). 379–386. 2 indexed citations
5.
Hwang, Jung Hye, et al.. (2018). Association between an electron transfer flavoprotein alpha subunit polymorphism (rs321948383) and the meat quality of Berkshire pigs. Journal of Applied Animal Research. 46(1). 1169–1173. 1 indexed citations
6.
7.
Kim, Tae Wan, et al.. (2017). Prediction of relationships between pork color and muscular texture traits for entrepreneurial decisions. Indian Journal of Animal Research. 53(12). 1688–1693. 1 indexed citations
8.
Hwang, Jung Hye, et al.. (2017). Squalene epoxidase plays a critical role in determining pig meat quality by regulating adipogenesis, myogenesis, and ROS scavengers. Scientific Reports. 7(1). 16740–16740. 9 indexed citations
9.
Hwang, Jung Hye, et al.. (2017). Non-synonymous SNP in the Ribosomal Protein S3(RPS3) Gene and its Association with Meat Quality Traits in Berkshire Pigs. Journal of Agriculture & Life Science. 51(1). 151–161. 1 indexed citations
10.
Hwang, Jung Hye, et al.. (2017). DNA methylation patterns and gene expression associated with litter size in Berkshire pig placenta. PLoS ONE. 12(9). e0184539–e0184539. 19 indexed citations
11.
Chae, Min Suk, Nuri Lee, Da Hye Park, et al.. (2017). Influence of oxygen content immediately after graft reperfusion on occurrence of postoperative acute kidney injury in living donor liver transplantation. Medicine. 96(31). e7626–e7626. 8 indexed citations
12.
Kim, Tae‐Wan, Il-Suk Kim, Jung Hye Hwang, et al.. (2016). Comparison among meat quality classes according to the criteria ofpost-mortem pH24hr, drip loss and color in Berkshire pigs. Indian Journal of Animal Research. 1 indexed citations
13.
Hwang, Jung Hye, Da Hye Park, Tae Wan Kim, et al.. (2016). Identification of Differentially Expressed Genes Associated with Litter Size in Berkshire Pig Placenta. PLoS ONE. 11(4). e0153311–e0153311. 31 indexed citations
14.
Kim, Tae Wan, Chul Wook Kim, Jung Hye Hwang, et al.. (2016). pH as analytical indicator for managing pork meat quality. 18 indexed citations
15.
Park, Sang-Je, et al.. (2014). Selection of appropriate reference genes for RT-qPCR analysis in Berkshire, Duroc, Landrace, and Yorkshire pigs. Gene. 558(1). 152–158. 45 indexed citations
16.
Hwang, Jung Hye, et al.. (2014). Molecular characterization of porcine PGM1 gene associated with meat quality traits. Canadian Journal of Animal Science. 95(1). 31–36. 3 indexed citations
17.
Kim, Kyunghee, et al.. (2012). Effects of Symptom Severity and Symptom Interference on Sleep Disturbance in Cancer Patients. Asian Oncology Nursing. 12(4). 339–339. 2 indexed citations
18.
Kwon, Eun Jung, Eun Seok Cho, Da Hye Park, et al.. (2011). Association analysis of polymorphism in KIAA1717 , HUMMLC2B , DECR1 and FTO genes with meat quality traits of the Berkshire breed. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(25). 5068–5074. 5 indexed citations
19.
Cho, Eun Seok, Eun Jung Kwon, Byeong-Woo Kim, et al.. (2011). Non-Synonymous SNP in theApoRGene Associated with Pork Meat Quality. Bioscience Biotechnology and Biochemistry. 75(10). 2018–2020. 1 indexed citations
20.
Kim, Chul Wook, Sang‐Rae Lee, Eun Jung Kwon, et al.. (2006). Use of Microsatellite Markers to Detect Quantitative Trait Loci in Yorkshire Pigs. Journal of Reproduction and Development. 52(2). 229–237. 18 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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