Chang-Hee Do

508 total citations
36 papers, 401 citations indexed

About

Chang-Hee Do is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Chang-Hee Do has authored 36 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 17 papers in Animal Science and Zoology and 10 papers in Agronomy and Crop Science. Recurrent topics in Chang-Hee Do's work include Genetic and phenotypic traits in livestock (24 papers), Reproductive Physiology in Livestock (8 papers) and Effects of Environmental Stressors on Livestock (8 papers). Chang-Hee Do is often cited by papers focused on Genetic and phenotypic traits in livestock (24 papers), Reproductive Physiology in Livestock (8 papers) and Effects of Environmental Stressors on Livestock (8 papers). Chang-Hee Do collaborates with scholars based in South Korea and United States. Chang-Hee Do's co-authors include Hye Jin Kim, K.A. Weigel, Heather M. White, Kwang‐Hyun Cho, Ryan S. Pralle, Si-Dong Kim, Dong-Hee Lee, Young‐Ha Lee, Yong-Man Yu and Dong Wook Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Advances in experimental medicine and biology.

In The Last Decade

Chang-Hee Do

36 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang-Hee Do South Korea 12 246 179 148 58 39 36 401
C.O. Lynch Ireland 9 191 0.8× 188 1.1× 63 0.4× 45 0.8× 11 0.3× 13 346
G. M. Gaunt Australia 13 347 1.4× 251 1.4× 165 1.1× 84 1.4× 4 0.1× 28 435
Lucas Lima Verardo Brazil 13 398 1.6× 112 0.6× 151 1.0× 36 0.6× 12 0.3× 41 539
Necmettin Ünal Türkiye 12 188 0.8× 138 0.8× 209 1.4× 37 0.6× 5 0.1× 74 371
B. Benkel Canada 11 500 2.0× 163 0.9× 170 1.1× 18 0.3× 14 0.4× 20 697
Khaleel I. Jawasreh Jordan 12 180 0.7× 90 0.5× 180 1.2× 40 0.7× 3 0.1× 47 407
Wenqiong Chai China 14 143 0.6× 77 0.4× 204 1.4× 12 0.2× 10 0.3× 32 433
Vicente Eliezer Vega Murillo Mexico 11 209 0.8× 89 0.5× 142 1.0× 61 1.1× 18 0.5× 56 350
Krešimir Salajpal Croatia 9 119 0.5× 44 0.2× 143 1.0× 43 0.7× 9 0.2× 61 282
Jean-Marcel Gogué France 11 255 1.0× 53 0.3× 389 2.6× 153 2.6× 7 0.2× 15 590

Countries citing papers authored by Chang-Hee Do

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Hee Do

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-Hee Do. 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 Chang-Hee Do. The network helps show where Chang-Hee Do may publish in the future.

Co-authorship network of co-authors of Chang-Hee Do

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Hee Do. A scholar is included among the top collaborators of Chang-Hee Do 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 Chang-Hee Do. Chang-Hee Do 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.
Cho, Kwang‐Hyun, et al.. (2023). Identification of genomic regions and genes associated with subclinical ketosis in periparturient dairy cows. Journal of Animal Science and Technology. 66(3). 567–576. 1 indexed citations
2.
3.
Do, Chang-Hee & Dong-Hee Lee. (2022). Synergism Between Taurine and Dexamethasone in Anti-inflammatory Response in LPS-Activated Macrophages. Advances in experimental medicine and biology. 1370. 31–39. 2 indexed citations
4.
Do, Chang-Hee, et al.. (2021). Genetic relationship of age at first calving with conformation traits and calving interval in Hanwoo cows. Journal of Animal Science and Technology. 63(4). 740–750. 11 indexed citations
5.
Do, Chang-Hee, et al.. (2018). Estimation of the genetic milk yield parameters of Holstein cattle under heat stress in South Korea. Asian-Australasian Journal of Animal Sciences. 32(3). 334–340. 13 indexed citations
6.
Pralle, Ryan S., S.J. Bertics, L.E. Armentano, et al.. (2017). Relationships between body condition score change, prior mid-lactation phenotypic residual feed intake, and hyperketonemia onset in transition dairy cows. Journal of Dairy Science. 100(5). 3685–3696. 61 indexed citations
7.
Do, Chang-Hee, et al.. (2016). Genetic Parameter Estimates of Carcass Traits under National Scale Breeding Scheme for Beef Cattle. Asian-Australasian Journal of Animal Sciences. 29(8). 1083–1094. 24 indexed citations
8.
Park, Byoungho, Mi Na Park, Mobashwer Alam, et al.. (2016). A Genome-wide Association Study of Preferred Primal Cuts of Hanwoo Cattle Using Single-step GBLUP. Journal of Agriculture & Life Science. 50(3). 99–117. 2 indexed citations
9.
Kim, Si-Dong, et al.. (2016). Genetic Parameters of Milk β-Hydroxybutyric Acid and Acetone and Their Genetic Association with Milk Production Traits of Holstein Cattle. Asian-Australasian Journal of Animal Sciences. 29(11). 1530–1540. 18 indexed citations
10.
Kim, Si-Dong, et al.. (2015). Genetic Relationship of Productive Life, Production and Type Traits of Korean Holsteins at Early Lactations. Asian-Australasian Journal of Animal Sciences. 28(9). 1259–1265. 19 indexed citations
11.
Do, Chang-Hee, et al.. (2015). The Outcomes of Selection in a Closed Herd on a Farm in Operation. Asian-Australasian Journal of Animal Sciences. 28(9). 1244–1251. 2 indexed citations
12.
Lee, Seung Soo, et al.. (2013). Estimation of Primal Cuts Yields by Using Body Size Traits in Hanwoo Steer. Journal of Animal Science and Technology. 55(5). 373–380. 4 indexed citations
13.
Do, Chang-Hee, et al.. (2013). The Impact of Milk Production Level on Profit Traits of Holstein Dairy Cattle in Korea. Journal of Animal Science and Technology. 55(5). 343–349. 1 indexed citations
14.
Kim, Hye Min, et al.. (2012). Combined Effects of Multiple Endoplasmic Reticulum Stresses on Cytokine Secretion in Macrophage. Biomolecules & Therapeutics. 20(3). 346–351. 5 indexed citations
15.
Kim, Hye Jin, Chang-Hee Do, & Dong Hun Lee. (2010). Taurine reduces ER stress in C. elegans. Journal of Biomedical Science. 17(Suppl 1). S26–S26. 19 indexed citations
16.
Kim, Hye Jin, Chang-Hee Do, & Dong Wook Lee. (2010). Characterization of taurine as anti-obesity agent in C. elegans. Journal of Biomedical Science. 17(Suppl 1). S33–S33. 26 indexed citations
17.
Do, Chang-Hee, et al.. (2010). Adjustment of Lactation Number and Stage on Informal Linear Type Traits of Holstein Dairy Cattle. Journal of Animal Science and Technology. 52(6). 467–473. 1 indexed citations
18.
Do, Chang-Hee, et al.. (2009). Estimation of Genetic Parameter for Linear Type Traits in Holstein Dairy Cattle in Korea. Journal of Animal Science and Technology. 51(5). 345–352. 2 indexed citations
19.
Lee, Jin Woo, et al.. (2007). Effects of Olive Oil Additives on the Quality Characteristics of Press Ham during Cold Storage. Korean Journal for Food Science of Animal Resources. 27(2). 163–170. 3 indexed citations
20.
Do, Chang-Hee, et al.. (2007). Effects of Conjugated Linoleic Acid-Triglyceride Additives on Quality Characteristics of Pressed Ham. Korean Journal for Food Science of Animal Resources. 27(1). 8–15. 2 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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