Kyung‐Il Sung

783 total citations
54 papers, 627 citations indexed

About

Kyung‐Il Sung is a scholar working on Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science and Plant Science. According to data from OpenAlex, Kyung‐Il Sung has authored 54 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ecology, Evolution, Behavior and Systematics, 21 papers in Agronomy and Crop Science and 17 papers in Plant Science. Recurrent topics in Kyung‐Il Sung's work include Agriculture, Soil, Plant Science (22 papers), Effects of Environmental Stressors on Livestock (13 papers) and Reproductive Physiology in Livestock (10 papers). Kyung‐Il Sung is often cited by papers focused on Agriculture, Soil, Plant Science (22 papers), Effects of Environmental Stressors on Livestock (13 papers) and Reproductive Physiology in Livestock (10 papers). Kyung‐Il Sung collaborates with scholars based in South Korea, United States and Iran. Kyung‐Il Sung's co-authors include Jalil Ghassemi Nejad, Jayant Lohakare, J.W. West, Eung-Gi Kwon, Jun-Kyu Son, Fereidoun Forghani, Dong‐Hoon Lee, Changsix Ra, Young‐Han Song and Jeong-Dae Kim and has published in prestigious journals such as Journal of Animal Science, Animal Feed Science and Technology and animal.

In The Last Decade

Kyung‐Il Sung

50 papers receiving 586 citations

Peers

Kyung‐Il Sung
W. H. McElhenney United States
L. J. Johnson United States
DK Revell Australia
Krishona Martinson United States
L. W. Grimes United States
Andreas Foskolos United Kingdom
P. Nørgaard Denmark
D. Sauvant France
W. H. McElhenney United States
Kyung‐Il Sung
Citations per year, relative to Kyung‐Il Sung Kyung‐Il Sung (= 1×) peers W. H. McElhenney

Countries citing papers authored by Kyung‐Il Sung

Since Specialization
Citations

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

Fields of papers citing papers by Kyung‐Il Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyung‐Il Sung

This figure shows the co-authorship network connecting the top 25 collaborators of Kyung‐Il Sung. A scholar is included among the top collaborators of Kyung‐Il Sung 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‐Il Sung. Kyung‐Il Sung 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.
Yoo, Gayoung, et al.. (2024). Evaluation of Grassland Carbon Storage in Gangwon Province Using the InVEST Model and Application of Land Cover Maps. Han-guk choji josaryo hakoeji. 44(4). 301–311. 1 indexed citations
2.
Sung, Kyung‐Il, et al.. (2023). Assessment of weather events impacts on forage production trend of sorghum-sudangrass hybrid. Journal of Animal Science and Technology. 65(4). 792–803. 2 indexed citations
3.
Sung, Kyung‐Il, et al.. (2023). Assessment of planting soil temperature and growing degree day impacts on silage corn (Zea mays L.) biomass. Journal of Animal Science and Technology. 66(5). 949–961. 1 indexed citations
4.
Sung, Kyung‐Il, et al.. (2021). Assessment of causality between climate variables and production for whole crop maize using structural equation modeling. Journal of Animal Science and Technology. 63(2). 339–353. 3 indexed citations
5.
Nejad, Jalil Ghassemi, et al.. (2021). Thermal-humidity exposure and water deprivation alter the immune response, and hair but not plasma mineral profiles, in Holstein dairy cows. Biological Rhythm Research. 53(7). 1144–1154. 1 indexed citations
6.
Nejad, Jalil Ghassemi, et al.. (2020). Effect of alpine grazing on plasma and hair cortisol, serotonin, and DHEA in dairy cows and its welfare impact. Domestic Animal Endocrinology. 75. 106581–106581. 15 indexed citations
7.
Sung, Kyung‐Il, et al.. (2020). Impact of abnormal climate events on the production of Italian ryegrass as a season in Korea. Journal of Animal Science and Technology. 63(1). 77–90. 5 indexed citations
8.
Nejad, Jalil Ghassemi, et al.. (2020). Effect of water scarcity during thermal-humidity exposure on the mineral footprint of sheep. Asian-Australasian Journal of Animal Sciences. 33(12). 1940–1947. 2 indexed citations
9.
Sung, Kyung‐Il, et al.. (2019). Causality between climatic and soil factors on Italian ryegrass yield in paddy field via climate and soil big data. Journal of Animal Science and Technology. 61(6). 324–332. 4 indexed citations
10.
Corazzin, Mirco, et al.. (2019). Milk and Montasio‐type cheese fatty acid composition from cows grazing on timothy and reed canarygrass pasture or fed indoor. Grassland Science. 65(4). 226–232. 7 indexed citations
11.
Sung, Kyung‐Il, et al.. (2018). Detecting dry matter yield trend of whole crop maize considering the climatic factors in the Republic of Korea. Grassland Science. 65(2). 116–124. 8 indexed citations
12.
Nejad, Jalil Ghassemi, et al.. (2017). Effects of water addition to total mixed ration on water intake, nutrient digestibility, wool cortisol and blood indices in Corriedale ewes. Asian-Australasian Journal of Animal Sciences. 30(10). 1435–1441. 14 indexed citations
13.
Sung, Kyung‐Il, et al.. (2017). Value-Chain Analysis of Mountain Farm Milk Products. 35(3). 184–195.
14.
Kim, Ji Hye, et al.. (2015). Comparison of Forage Production and Nutritional Value of Italian ryegrass,Rye and Whole Crop Barley as Winter Forage Crops in Southern Region of Korea. Han-guk choji josaryo hakoeji. 35(3). 245–250. 1 indexed citations
15.
Sung, Kyung‐Il, et al.. (2014). Analysis of Climate Effects on Italian Ryegrass Yield via Structural Equation Model. Korean Journal of Applied Statistics. 27(7). 1187–1196. 10 indexed citations
16.
Lohakare, Jayant, et al.. (2013). Limiting Concentrate during Growing Period Affect Performance and Gene Expression of Hepatic Gluconeogenic Enzymes and Visfatin in Korean Native Beef Calves. Asian-Australasian Journal of Animal Sciences. 26(2). 202–210. 1 indexed citations
17.
Nejad, Jalil Ghassemi, et al.. (2013). Effects of Feeding Levels of Starter on Weaning Age, Performance, Nutrient Digestibility and Health Parameters in Holstein Dairy Calves. Asian-Australasian Journal of Animal Sciences. 26(6). 827–830. 5 indexed citations
18.
Nejad, Jalil Ghassemi, Jayant Lohakare, Jun-Kyu Son, et al.. (2013). Wool cortisol is a better indicator of stress than blood cortisol in ewes exposed to heat stress and water restriction. animal. 8(1). 128–132. 83 indexed citations
19.
Nejad, Jalil Ghassemi, et al.. (2012). Effects of Processing of Starter Diets on Performance, Nutrient Digestibility, Rumen Biochemical Parameters and Body Measurements of Brown Swiss Dairy Calves. Asian-Australasian Journal of Animal Sciences. 25(7). 980–987. 28 indexed citations
20.
Lee, Dong‐Hoon, Changsix Ra, Young‐Han Song, Kyung‐Il Sung, & Jeong-Dae Kim. (2012). Effects of Dietary Garlic Extract on Growth, Feed Utilization and Whole Body Composition of Juvenile Sterlet Sturgeon (Acipenser ruthenus). Asian-Australasian Journal of Animal Sciences. 25(4). 577–583. 42 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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