Sung Dae Lee

1.2k total citations
67 papers, 783 citations indexed

About

Sung Dae Lee is a scholar working on Animal Science and Zoology, Small Animals and Food Science. According to data from OpenAlex, Sung Dae Lee has authored 67 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Animal Science and Zoology, 10 papers in Small Animals and 10 papers in Food Science. Recurrent topics in Sung Dae Lee's work include Meat and Animal Product Quality (22 papers), Animal Nutrition and Physiology (22 papers) and Effects of Environmental Stressors on Livestock (17 papers). Sung Dae Lee is often cited by papers focused on Meat and Animal Product Quality (22 papers), Animal Nutrition and Physiology (22 papers) and Effects of Environmental Stressors on Livestock (17 papers). Sung Dae Lee collaborates with scholars based in South Korea, Japan and United States. Sung Dae Lee's co-authors include Yookyung Lee, Sang Yun Ji, Ki Hyun Kim, Jin Young Jeong, Kyung-Woo Lee, Da‐Hye Kim, Jun‐Dong Cho, Kondreddy Eswar Reddy, Hyun Jung Jung and Ju Lan Chun and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Antioxidants.

In The Last Decade

Sung Dae Lee

60 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung Dae Lee South Korea 19 313 140 130 94 86 67 783
Umer Farooq Pakistan 18 264 0.8× 268 1.9× 122 0.9× 114 1.2× 186 2.2× 136 1.1k
R. Romvárí Hungary 18 554 1.8× 180 1.3× 114 0.9× 52 0.6× 105 1.2× 98 1.0k
J. P. Wang China 17 582 1.9× 211 1.5× 237 1.8× 95 1.0× 197 2.3× 31 956
Gang Zhang China 13 153 0.5× 186 1.3× 143 1.1× 38 0.4× 66 0.8× 61 549
Zhenping Hou China 14 466 1.5× 129 0.9× 183 1.4× 53 0.6× 175 2.0× 33 812
M. Nisa Pakistan 17 392 1.3× 206 1.5× 75 0.6× 96 1.0× 127 1.5× 66 970
Aleksandro Schafer da Silva Brazil 19 266 0.8× 234 1.7× 155 1.2× 116 1.2× 118 1.4× 135 1.1k
Dawn Koltes United States 13 289 0.9× 56 0.4× 134 1.0× 91 1.0× 41 0.5× 40 671
Miaomiao Wu China 12 202 0.6× 148 1.1× 184 1.4× 37 0.4× 52 0.6× 16 615

Countries citing papers authored by Sung Dae Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sung Dae Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung Dae Lee. 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 Sung Dae Lee. The network helps show where Sung Dae Lee may publish in the future.

Co-authorship network of co-authors of Sung Dae Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Dae Lee. A scholar is included among the top collaborators of Sung Dae Lee 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 Sung Dae Lee. Sung Dae Lee 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.
Kim, Hye Ran, et al.. (2025). Correlation between ambient temperature and body weight of Hanwoo calves (Korean native cattle). Animal Bioscience. 38(8). 1817–1825.
2.
3.
Nejad, Jalil Ghassemi, Yoonseok Lee, Sung Dae Lee, et al.. (2024). Advances in Methane Emission Estimation in Livestock: A Review of Data Collection Methods, Model Development and the Role of AI Technologies. Animals. 14(3). 435–435. 25 indexed citations
4.
5.
Kim, Yoo-Bhin, et al.. (2022). Incorporation of Dietary Methyl Sulfonyl Methane into the Egg Albumens of Laying Hens. Antioxidants. 11(3). 517–517. 4 indexed citations
6.
7.
Chun, Ju Lan, et al.. (2020). Difference of gut microbiota composition based on the body condition scores in dogs. Journal of Animal Science and Technology. 62(2). 239–246. 34 indexed citations
8.
Reddy, Kondreddy Eswar, Min‐Ji Kim, Ki Hyun Kim, et al.. (2020). Effect of commercially purified deoxynivalenol and zearalenone mycotoxins on microbial diversity of pig cecum contents. Animal Bioscience. 34(2). 243–255. 18 indexed citations
9.
Lee, Ji Hwan, Sung Dae Lee, Won Yun, et al.. (2020). Effects of different standardized ileal digestible lysine: net energy proportion in growing and finishing pigs. Journal of Animal Science and Technology. 62(2). 198–207. 3 indexed citations
10.
Chun, Ju Lan, Han Tae Bang, Sang Yun Ji, et al.. (2020). Comparison of sample preparation procedures of inductively coupled plasma to measure elements in dog’s hair. Journal of Animal Science and Technology. 62(1). 58–63. 2 indexed citations
11.
Yun, Won, Minho Song, Han Jin Oh, et al.. (2020). Arginine addition in a diet for weaning pigs can improve the growth performance under heat stress. Journal of Animal Science and Technology. 62(4). 460–467. 13 indexed citations
12.
Oh, Han Jin, Won Yun, Ji Hwan Lee, et al.. (2020). Effect of replacing corn with soy hulls on nutrient digestibility of growing pigs. Journal of Animal Science and Technology. 62(2). 180–186. 2 indexed citations
13.
Srikanth, Krishnamoorthy, Jong‐Eun Park, Sang Yun Ji, et al.. (2020). Genome-Wide Transcriptome and Metabolome Analyses Provide Novel Insights and Suggest a Sex-Specific Response to Heat Stress in Pigs. Genes. 11(5). 540–540. 18 indexed citations
14.
Yun, Won, Ji Hwan Lee, Han Jin Oh, et al.. (2020). Effects of exogenous emulsifier supplementation on growth performance, energy digestibility, and meat quality in broilers. Journal of Animal Science and Technology. 62(1). 43–51. 18 indexed citations
15.
Chun, Ju Lan, Han Tae Bang, Sang Yun Ji, et al.. (2019). A simple method to evaluate body condition score to maintain the optimal body weight in dogs. Journal of Animal Science and Technology. 61(6). 366–370. 48 indexed citations
16.
Wickramasuriya, Samiru Sudharaka, Shemil P. Macelline, Eunjoo Kim, et al.. (2019). Physiological impact on layer chickens fed corn distiller’s dried grains with solubles naturally contaminated with deoxynivalenol. Asian-Australasian Journal of Animal Sciences. 33(2). 313–322. 9 indexed citations
17.
Jeong, Jin Young, et al.. (2018). NMR-based metabolomic profiling of the liver, serum, and urine of piglets treated with deoxynivalenol. Korean Journal of Agricultural Science. 45(3). 455–461. 1 indexed citations
18.
Reddy, Kondreddy Eswar, Woong Lee, Jin Young Jeong, et al.. (2017). Effects of deoxynivalenol- and zearalenone-contaminated feed on the gene expression profiles in the kidneys of piglets. Asian-Australasian Journal of Animal Sciences. 31(1). 138–148. 17 indexed citations
19.
Lee, Sung Dae, et al.. (2012). The Nutritive Value of Grains from Barley Cultivars(Wooho, Youngyang, Yuyeon). 46(3). 69–78. 6 indexed citations
20.
Kang, Suk‐Nam, et al.. (2012). Effect of Substitution of Fermented King Oyster Mushroom By-Products Diet on Pork Quality during Storage. Korean Journal for Food Science of Animal Resources. 32(2). 133–141. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Umer Farooq Breakdown of academic impact, for papers by R. Romvárí Breakdown of academic impact, for papers by J. P. Wang Breakdown of academic impact, for papers by Gang Zhang Breakdown of academic impact, for papers by Zhenping Hou Breakdown of academic impact, for papers by M. Nisa Breakdown of academic impact, for papers by Aleksandro Schafer da Silva Breakdown of academic impact, for papers by Dawn Koltes Breakdown of academic impact, for papers by Miaomiao Wu
Rankless by CCL
2026