Dong-Keun Kam

450 total citations
10 papers, 346 citations indexed

About

Dong-Keun Kam is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Food Science. According to data from OpenAlex, Dong-Keun Kam has authored 10 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Agronomy and Crop Science, 3 papers in Ecology, Evolution, Behavior and Systematics and 3 papers in Food Science. Recurrent topics in Dong-Keun Kam's work include Ruminant Nutrition and Digestive Physiology (6 papers), Agriculture, Soil, Plant Science (3 papers) and Probiotics and Fermented Foods (2 papers). Dong-Keun Kam is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (6 papers), Agriculture, Soil, Plant Science (3 papers) and Probiotics and Fermented Foods (2 papers). Dong-Keun Kam collaborates with scholars based in South Korea, United States and Canada. Dong-Keun Kam's co-authors include J. K. Ha, Santi Devi Upadhaya, Seongwon Seo, Sangmoon Lee, Sang Cheol Lee, Chang‐Hyun Kim, Hilário Cuquetto Mantovani, James B. Russell, Cecil W. Forsberg and G. Douglas Inglis and has published in prestigious journals such as FEMS Microbiology Ecology, Animal Feed Science and Technology and Canadian Journal of Microbiology.

In The Last Decade

Dong-Keun Kam

10 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong-Keun Kam South Korea 6 226 83 78 68 53 10 346
Tomomi Ban‐Tokuda Japan 11 154 0.7× 55 0.7× 116 1.5× 86 1.3× 66 1.2× 32 328
Thomas Hartinger Austria 8 190 0.8× 58 0.7× 55 0.7× 74 1.1× 26 0.5× 30 299
M. C. M. Gonçalves Brazil 4 243 1.1× 82 1.0× 87 1.1× 46 0.7× 25 0.5× 10 310
Cristina Simões Cortinhas Brazil 12 279 1.2× 113 1.4× 92 1.2× 51 0.8× 103 1.9× 37 420
M. L. Smith United States 10 252 1.1× 57 0.7× 93 1.2× 36 0.5× 19 0.4× 16 352
Shamay Jacoby Israel 8 225 1.0× 77 0.9× 48 0.6× 91 1.3× 58 1.1× 17 323
V. Pattarajinda Thailand 12 320 1.4× 60 0.7× 115 1.5× 120 1.8× 155 2.9× 30 532
Ewa Pecka‐Kiełb Poland 10 190 0.8× 109 1.3× 94 1.2× 78 1.1× 43 0.8× 33 366
G. R. Ghorbani Iran 5 375 1.7× 54 0.7× 103 1.3× 46 0.7× 114 2.2× 9 432
Stefanie U. Wetzels Austria 16 312 1.4× 210 2.5× 111 1.4× 231 3.4× 62 1.2× 21 614

Countries citing papers authored by Dong-Keun Kam

Since Specialization
Citations

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

Fields of papers citing papers by Dong-Keun Kam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong-Keun Kam. 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 Dong-Keun Kam. The network helps show where Dong-Keun Kam may publish in the future.

Co-authorship network of co-authors of Dong-Keun Kam

This figure shows the co-authorship network connecting the top 25 collaborators of Dong-Keun Kam. A scholar is included among the top collaborators of Dong-Keun Kam 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 Dong-Keun Kam. Dong-Keun Kam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Seo, Jakyeom, et al.. (2021). High-level dietary crude protein decreased backfat thickness and increased carcass yield score in finishing Hanwoo beef cattle (Bos taurus coreanae). Journal of Animal Science and Technology. 63(5). 1064–1075. 4 indexed citations
2.
Lee, Jung‐Jin, et al.. (2021). Effects of β-Mannanase and Bacteriophage Supplementation on Health and Growth Performance of Holstein Calves. Animals. 11(2). 372–372. 4 indexed citations
4.
Seo, Jakyeom, Jeongsoo Park, Jae Hwan Lee, et al.. (2016). Enhancement of daily gain and feed efficiency of growing heifers by dietary supplementation of β-mannanase in Hanwoo (Bos taurus coreanae). Livestock Science. 188. 21–24. 2 indexed citations
5.
Lee, Sangmoon, et al.. (2011). Glycerol as a feed supplement for ruminants: In vitro fermentation characteristics and methane production. Animal Feed Science and Technology. 166-167. 269–274. 82 indexed citations
6.
Lee, Sangmoon, Jong‐Hyeong Kim, Kwang-Seok Ki, et al.. (2010). β-Mannanase (CTCZYME ® ) 첨가가 어린 송아지의 성장에 미치는 영향. Korean Journal of Agricultural Science. 37(2). 239–243. 3 indexed citations
7.
Upadhaya, Santi Devi, et al.. (2010). Direct-fed Microbials for Ruminant Animals. Asian-Australasian Journal of Animal Sciences. 23(12). 1657–1667. 169 indexed citations
8.
9.
Kobayashi, Yasuo, Satoshi Koike, Hidenori Taguchi, et al.. (2004). Recent Advances in Gut Microbiology and Their Possible Contribution to Animal Health and Production - A Review -. Asian-Australasian Journal of Animal Sciences. 17(6). 877–884. 8 indexed citations
10.
Mantovani, Hilário Cuquetto, Dong-Keun Kam, J. K. Ha, & James B. Russell. (2001). The antibacterial activity and sensitivity of Streptococcus bovis strains isolated from the rumen of cattle1. FEMS Microbiology Ecology. 37(3). 223–229. 36 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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