Kyung‐Do Park

1.1k total citations
57 papers, 622 citations indexed

About

Kyung‐Do Park is a scholar working on Genetics, Animal Science and Zoology and Plant Science. According to data from OpenAlex, Kyung‐Do Park has authored 57 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 10 papers in Animal Science and Zoology and 9 papers in Plant Science. Recurrent topics in Kyung‐Do Park's work include Genetic and phenotypic traits in livestock (23 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Agriculture, Soil, Plant Science (5 papers). Kyung‐Do Park is often cited by papers focused on Genetic and phenotypic traits in livestock (23 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Agriculture, Soil, Plant Science (5 papers). Kyung‐Do Park collaborates with scholars based in South Korea, United States and Canada. Kyung‐Do Park's co-authors include Won‐Moo Hur, Yeonshin Kim, Byung-Do Kim, Hak‐Kyo Lee, Yuhyung Shin, Joon‐Ho Lee, Kwang‐Hyun Cho, Jin Yong Park, Alan J. Dubinsky and Ki‐Duk Song and has published in prestigious journals such as Gene, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Kyung‐Do Park

45 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyung‐Do Park South Korea 10 244 137 119 83 75 57 622
Seamus O’Reilly Ireland 19 224 0.9× 50 0.4× 58 0.5× 87 1.0× 158 2.1× 44 866
Wallace M.S. Yee United Kingdom 14 224 0.9× 19 0.1× 73 0.6× 209 2.5× 42 0.6× 18 617
Safeer Alam India 9 78 0.3× 52 0.4× 12 0.1× 27 0.3× 73 1.0× 43 272
Germano Glufke Reis Brazil 14 42 0.2× 19 0.1× 140 1.2× 55 0.7× 100 1.3× 48 517
Montserrat Costa‐Font United Kingdom 13 246 1.0× 60 0.4× 11 0.1× 162 2.0× 77 1.0× 45 1.1k
Meike Rombach New Zealand 13 123 0.5× 16 0.1× 20 0.2× 48 0.6× 62 0.8× 49 486
Keith Walley United Kingdom 14 196 0.8× 12 0.1× 118 1.0× 113 1.4× 329 4.4× 32 755
Beata Kupiec‐Teahan United Kingdom 7 124 0.5× 11 0.1× 98 0.8× 114 1.4× 76 1.0× 13 391
Amparo Baviera‐Puig Spain 13 133 0.5× 9 0.1× 45 0.4× 37 0.4× 72 1.0× 37 598
Gillian Armstrong United Kingdom 16 296 1.2× 6 0.0× 52 0.4× 110 1.3× 116 1.5× 35 853

Countries citing papers authored by Kyung‐Do Park

Since Specialization
Citations

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

Fields of papers citing papers by Kyung‐Do Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyung‐Do 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 Kyung‐Do Park. The network helps show where Kyung‐Do Park may publish in the future.

Co-authorship network of co-authors of Kyung‐Do Park

This figure shows the co-authorship network connecting the top 25 collaborators of Kyung‐Do Park. A scholar is included among the top collaborators of Kyung‐Do 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 Kyung‐Do Park. Kyung‐Do 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.
Do, Kyoung‐Tag, et al.. (2023). Genome‐wide association study using a single‐step approach for teat number in Duroc, Landrace and Yorkshire pigs in Korea. Animal Genetics. 54(6). 743–751. 3 indexed citations
2.
Lee, Yun-Mi, Chang–Gwon Dang, You-Sam Kim, et al.. (2019). The effectiveness of genomic selection for milk production traits of Holstein dairy cattle. Asian-Australasian Journal of Animal Sciences. 33(3). 382–389. 14 indexed citations
3.
Lee, Sang‐Min, et al.. (2018). Analysis of genetic characteristics of pig breeds using information on single nucleotide polymorphisms (SNP). Asian-Australasian Journal of Animal Sciences. 32(4). 485–493. 2 indexed citations
4.
Lee, Joon‐Ho, Hao Cheng, Dorian J. Garrick, et al.. (2017). Comparison of alternative approaches to single-trait genomic prediction using genotyped and non-genotyped Hanwoo beef cattle. Genetics Selection Evolution. 49(1). 2–2. 36 indexed citations
5.
Do, Kyoung‐Tag, et al.. (2017). Effect of single nucleotide polymorphism on the total number of piglets born per parity of three different pig breeds. Asian-Australasian Journal of Animal Sciences. 31(5). 628–635. 3 indexed citations
6.
Lee, Wonseok, Kyung‐Do Park, Mengistie Taye, et al.. (2017). Analysis of cross-population differentiation between Thoroughbred and Jeju horses. Asian-Australasian Journal of Animal Sciences. 31(8). 1110–1118. 8 indexed citations
7.
Park, Kyung‐Do, et al.. (2017). Analysis of battery lifetime characteristics with current peak value of boost converter. Han-guk marin enjinieoring hakoeji. 41(7). 665–669. 1 indexed citations
8.
Park, Kyung‐Do, et al.. (2016). Genetic diversity of Halla horses using microsatellite markers. Journal of Animal Science and Technology. 58(1). 40–40. 17 indexed citations
9.
Oh, Jae-Don, et al.. (2016). Validation of selection accuracy for the total number of piglets born in Landrace pigs using genomic selection. Asian-Australasian Journal of Animal Sciences. 30(2). 149–153. 3 indexed citations
10.
Cho, Kwang‐Hyun, et al.. (2016). Changes rate in selection of Yorkshire pig for productive traits using the integrated test records among GGPs. Journal of the Korean Data and Information Science Society. 27(2). 429–435. 1 indexed citations
11.
Cho, Kwang‐Hyun, et al.. (2015). Genome Wide Association Studies Using Multiple-lactation Breeding Value in Holsteins. Asian-Australasian Journal of Animal Sciences. 28(3). 328–333. 2 indexed citations
12.
Lee, Joon‐Ho, et al.. (2015). Genetic Parameters of Reproductive and Meat Quality Traits in Korean Berkshire Pigs. Asian-Australasian Journal of Animal Sciences. 28(10). 1388–1393. 38 indexed citations
13.
Kang, Seongho, Won‐Moo Hur, & Kyung‐Do Park. (2014). The sources and roles of new product creativity for successful new product development. 19(4). 123–147. 1 indexed citations
14.
Kim, Byung Cho, et al.. (2014). Impact of Consumer Rating on Mobile Application Sales: A Comparison between Korean and American Consumers. korean management review. 43(5). 1493–1518. 2 indexed citations
15.
Gim, Jeong‐An, Hak‐Kyo Lee, Kyung‐Do Park, et al.. (2014). Transcriptional expression changes of glucose metabolism genes after exercise in thoroughbred horses. Gene. 547(1). 152–158. 8 indexed citations
16.
Ahn, Kung, Byung-Wook Cho, Kyung‐Do Park, et al.. (2012). Identification of ORF sequences and exercise-induced expression change in thoroughbred horse OXCT1 gene. Gene. 496(1). 45–48. 5 indexed citations
17.
Park, Kyung‐Do, et al.. (2011). A Study on Tensile Properties and HAZ Softening Depending on the Amount of Heat Input in MIG Welding of Al6082-T6. Journal of Welding and Joining. 29(1). 59–64. 3 indexed citations
18.
Ahn, Kung, et al.. (2011). Molecular Characterization of Alternative Transcripts of the HorseBMAL1Gene. ZOOLOGICAL SCIENCE. 28(9). 671–675. 2 indexed citations
19.
Chung, Yongseog, Soon‐Ja Kim, Kyeong Seob Shin, et al.. (2009). Antibacterial activity of novel naphthoquiones derivatives. Genes & Genomics. 31(6). 429–434. 4 indexed citations
20.
Park, Kyung‐Do, et al.. (2007). Consumer Ethnocentrism and Unwillingness to Buy Foreign Products. Gwanggohak yeon-gu. 9(4). 230–256. 6 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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