Eun Tae Kim

1.1k total citations
60 papers, 775 citations indexed

About

Eun Tae Kim is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, Eun Tae Kim has authored 60 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Agronomy and Crop Science, 13 papers in Animal Science and Zoology and 10 papers in Genetics. Recurrent topics in Eun Tae Kim's work include Ruminant Nutrition and Digestive Physiology (22 papers), Reproductive Physiology in Livestock (12 papers) and Genetic and phenotypic traits in livestock (10 papers). Eun Tae Kim is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (22 papers), Reproductive Physiology in Livestock (12 papers) and Genetic and phenotypic traits in livestock (10 papers). Eun Tae Kim collaborates with scholars based in South Korea, Thailand and Australia. Eun Tae Kim's co-authors include Jeong Yong Lee, Yong Tae Kim, Sung Sill Lee, Sang‐Suk Lee, Shin Ja Lee, Dong Hyeon Kim, Myunghoo Kim, Bon‐Hee Gu, Jun-Kyu Son and Youyoung Choi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Eun Tae Kim

54 papers receiving 756 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eun Tae Kim South Korea 18 237 195 160 155 126 60 775
Xinjian Lei China 18 177 0.7× 123 0.6× 322 2.0× 111 0.7× 444 3.5× 36 854
Jawaria Ali Khan Pakistan 10 66 0.3× 42 0.2× 244 1.5× 177 1.1× 39 0.3× 46 728
Salvatore Barbera Italy 13 48 0.2× 215 1.1× 107 0.7× 62 0.4× 22 0.2× 49 496
Huazhen Liu China 21 42 0.2× 314 1.6× 65 0.4× 549 3.5× 70 0.6× 63 1.4k
Jingming Zhou China 16 126 0.5× 86 0.4× 84 0.5× 533 3.4× 128 1.0× 80 842
Hamidreza Rahmani Iran 18 67 0.3× 368 1.9× 40 0.3× 110 0.7× 19 0.2× 50 973
M. Łukasiewicz Poland 15 69 0.3× 387 2.0× 141 0.9× 207 1.3× 10 0.1× 58 985
Wayne L. Smith United States 18 221 0.9× 53 0.3× 62 0.4× 172 1.1× 11 0.1× 40 835
Mohamed M.A. Zeinhom Egypt 13 80 0.3× 33 0.2× 178 1.1× 389 2.5× 70 0.6× 31 816
Congcong Wang China 18 162 0.7× 62 0.3× 138 0.9× 215 1.4× 119 0.9× 62 1.1k

Countries citing papers authored by Eun Tae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eun Tae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun Tae Kim. 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 Eun Tae Kim. The network helps show where Eun Tae Kim may publish in the future.

Co-authorship network of co-authors of Eun Tae Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Eun Tae Kim. A scholar is included among the top collaborators of Eun Tae Kim 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 Eun Tae Kim. Eun Tae Kim 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.
Lim, Dong-Hyun, Tai‐Young Hur, Sang Bum Kim, et al.. (2024). Comparison of nutritive composition, immunoglobulin and microbial community in the colostrum between Holstein and Jersey cows: an observational study in Korea. Korean Journal of Veterinary Research. 64(2). e17–e17.
2.
Lee, Shin Ja, et al.. (2022). Metabolic profiling of serum and urine in lactating dairy cows affected by subclinical ketosis using proton nuclear magnetic resonance spectroscopy. Journal of Animal Science and Technology. 64(2). 247–261. 8 indexed citations
3.
Cho, Jae Hyoung, Jae Hyoung Cho, Minho Song, et al.. (2021). Changes in Diarrhea Score, Nutrient Digestibility, Zinc Utilization, Intestinal Immune Profiles, and Fecal Microbiome in Weaned Piglets by Different Forms of Zinc. Animals. 11(5). 1356–1356. 39 indexed citations
4.
Lee, Shin Ja, Shin Ja Lee, Youyoung Choi, et al.. (2021). Metabolic Profiling of Rumen Fluid and Milk in Lactating Dairy Cattle Influenced by Subclinical Ketosis Using Proton Nuclear Magnetic Resonance Spectroscopy. Animals. 11(9). 2526–2526. 11 indexed citations
5.
Kim, Eun Tae, et al.. (2021). Near atomic-scale comparison of passive film on a 17 wt% Cr-added 18 wt% Mn steel with those on typical austenitic stainless steels. Scripta Materialia. 203. 114112–114112. 12 indexed citations
6.
7.
Gu, Bon‐Hee, Sang‐Suk Lee, Seon‐Ho Kim, et al.. (2021). Dynamic changes in blood immune cell composition and function in Holstein and Jersey steers in response to heat stress. Cell Stress and Chaperones. 26(4). 705–720. 26 indexed citations
8.
Lee, Soo-Hyun, Soo-Hyun Lee, Jun-Kyu Son, et al.. (2020). Analysis of circulating-microRNA expression in lactating Holstein cows under summer heat stress. PLoS ONE. 15(8). e0231125–e0231125. 21 indexed citations
9.
Kim, Eun Tae, Youyoung Choi, Shin Ja Lee, et al.. (2020). Metabolomics comparison of rumen fluid and milk in dairy cattle using proton nuclear magnetic resonance spectroscopy. Animal Bioscience. 34(2). 213–222. 14 indexed citations
10.
Choi, Heechul, et al.. (2019). A Study on the Effect of Temperature-Humidity Index on the Respiration Rate, Rectal Temperature and Rumination Time of Lactating Holstein Cow in Summer Season. Journal of the Korea Academia-Industrial cooperation Society. 20(11). 136–143. 3 indexed citations
11.
Lee, Su‐Kyoung, et al.. (2019). Effects of Different Roughage to Concentrate Ratios on the Changes of Productivity and Metabolic Profiles in Milk of Dairy Cows. 27(2). 147–160. 2 indexed citations
12.
Kim, Dong Hyeon, Myung H. Kim, Sang Bum Kim, et al.. (2019). Effects of Heat-stress on Rumen Bacterial Diversity and Composition of Holstein Cows. Han-guk choji josaryo hakoeji. 39(4). 227–234. 1 indexed citations
13.
Lee, Shin Ja, Sang-Suk Lee, Eun Tae Kim, et al.. (2018). Effect of optimal sodium stearoyl-2-lactylate supplementation on growth performance and blood and carcass characteristics in Hanwoo steers during the early fattening period. Asian-Australasian Journal of Animal Sciences. 31(9). 1442–1448. 4 indexed citations
14.
Lee, Shin Ja, et al.. (2017). Effects of Gelidium amansii extracts on in vitro ruminal fermentation characteristics, methanogenesis, and microbial populations. Asian-Australasian Journal of Animal Sciences. 31(1). 71–79. 10 indexed citations
15.
16.
Heo, Wan, Eun Tae Kim, Jun Ho Kim, et al.. (2015). The <i>In vitro</i> Effects of Nano-encapsulated Conjugated Linoleic Acid on Stability of Conjugated Linoleic Acid and Fermentation Profiles in the Rumen. Asian-Australasian Journal of Animal Sciences. 29(3). 365–371. 4 indexed citations
17.
Kweon, Hyuk-Jung, et al.. (2012). Preference and Awareness of Telemedicine in Primary Care Patients. Korean Journal of Family Medicine. 33(1). 25–25. 24 indexed citations
18.
Kim, Yong Tae, Eun Tae Kim, & Jeong Yong Lee. (2009). Characteristics of InSbTe phase-change random access memory. International Conference on Circuits. 203–205. 2 indexed citations
19.
Kim, Eun Tae, et al.. (2008). IgG Humoral Immune Response to Extract Proteins of Malassezia Pachydermatis Isolated from a Dog with Atopic Dermatitis (Ad). 한국임상수의학회지. 25(5). 340–345. 1 indexed citations
20.
Lee, Jin Soo, et al.. (1995). An Improved Stop-and-Go Algorithm for Blind Equalization. International Symposium on Circuits and Systems. 734–737. 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.

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