Joon Mo Yeo

492 total citations
29 papers, 380 citations indexed

About

Joon Mo Yeo is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Nutrition and Dietetics. According to data from OpenAlex, Joon Mo Yeo has authored 29 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Agronomy and Crop Science, 11 papers in Animal Science and Zoology and 9 papers in Nutrition and Dietetics. Recurrent topics in Joon Mo Yeo's work include Ruminant Nutrition and Digestive Physiology (10 papers), Genetic and phenotypic traits in livestock (6 papers) and Food Quality and Safety Studies (6 papers). Joon Mo Yeo is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (10 papers), Genetic and phenotypic traits in livestock (6 papers) and Food Quality and Safety Studies (6 papers). Joon Mo Yeo collaborates with scholars based in South Korea, United Kingdom and Canada. Joon Mo Yeo's co-authors include J. K. Ha, David G. Chamberlain, Christopher H. Knight, Young Kyoon Oh, Eun Joong Kim, Chang‐Hyun Kim, Kwang‐Hyun Cho, Min Seok Kim, Jeong‐Hwa Choi and Sung Sill Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Journal of Animal Science.

In The Last Decade

Joon Mo Yeo

25 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joon Mo Yeo South Korea 9 232 98 89 78 61 29 380
Marica Simoni Italy 12 132 0.6× 55 0.6× 141 1.6× 83 1.1× 45 0.7× 42 364
Francesca Mazza Italy 14 208 0.9× 156 1.6× 121 1.4× 77 1.0× 57 0.9× 30 440
Marco Alabiso Italy 15 244 1.1× 149 1.5× 175 2.0× 70 0.9× 64 1.0× 35 449
Davi F. Alba Brazil 13 171 0.7× 54 0.6× 99 1.1× 82 1.1× 23 0.4× 37 374
Jamal Seıfdavatı Iran 11 166 0.7× 64 0.7× 91 1.0× 179 2.3× 60 1.0× 49 405
Luis Alberto Miranda‐Romero Mexico 14 187 0.8× 90 0.9× 291 3.3× 105 1.3× 77 1.3× 43 516
Dániel Bíró Slovakia 10 143 0.6× 75 0.8× 78 0.9× 97 1.2× 30 0.5× 59 324
Rab Nawaz Soomro China 13 230 1.0× 70 0.7× 84 0.9× 155 2.0× 52 0.9× 33 477
Hüseyin Eseceli Türkiye 11 210 0.9× 49 0.5× 103 1.2× 107 1.4× 45 0.7× 41 398

Countries citing papers authored by Joon Mo Yeo

Since Specialization
Citations

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

Fields of papers citing papers by Joon Mo Yeo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joon Mo Yeo. 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 Joon Mo Yeo. The network helps show where Joon Mo Yeo may publish in the future.

Co-authorship network of co-authors of Joon Mo Yeo

This figure shows the co-authorship network connecting the top 25 collaborators of Joon Mo Yeo. A scholar is included among the top collaborators of Joon Mo Yeo 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 Joon Mo Yeo. Joon Mo Yeo 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.
Yeo, Joon Mo, et al.. (2023). Impact of Climate Change and Heat Stress on Milk Production in Korean Holstein Cows: A Large-Scale Data Analysis. Animals. 13(18). 2946–2946. 7 indexed citations
2.
Seong, Pil‐Nam, et al.. (2022). A Study on Changes in Lactating Performance of Korean Holstein Cows by Region on Heat-stress and Various Environmental Effects. Journal of the Korea Academia-Industrial cooperation Society. 23(12). 892–900.
3.
Park, Jin-Ki, Dongwook Kim, Kwang‐Hyun Cho, et al.. (2021). Helix-loop-helix protein ID4 expressed in bovine Sertoli cells. Acta Histochemica. 123(8). 151800–151800. 2 indexed citations
4.
Cho, Kwang‐Hyun, et al.. (2021). Analysis of seasonal effect on Korean native cattle (Hanwoo) birth weight. Journal of Animal Science and Technology. 63(4). 759–765. 3 indexed citations
5.
Yeo, Joon Mo, et al.. (2020). Effects of supplementing limiting amino acids on milk production in dairy cows consuming a corn grain and soybean meal-based diet. Journal of Animal Science and Technology. 62(4). 485–494. 15 indexed citations
6.
Park, Hyun-Jung, Hyuk Song, Hak‐Jae Chung, et al.. (2019). Expression patterns of male germ cell markers in cryptorchid pig testes. Acta Histochemica. 121(7). 784–790. 2 indexed citations
7.
Yeo, Joon Mo, et al.. (2017). Supplementing Rhodobacter sphaeroides in the diet of lactating Holstein cows may naturally produce coenzyme Q10-enriched milk. Asian-Australasian Journal of Animal Sciences. 31(1). 40–46. 7 indexed citations
8.
Baek, Youl-Chang, et al.. (2017). Rumen fermentation and digestibility of spent mushroom (Pleurotus ostreatus) substrate inoculated with Lactobacillus brevis for Hanwoo steers. Revista Colombiana de Ciencias Pecuarias. 30(4). 267–277. 21 indexed citations
9.
Lee, Chang Hyun, et al.. (2017). Effects of Extruded Linseed Supplementation on Methane Production in Holstein Steers. Han-guk choji josaryo hakoeji. 37(4). 315–321. 1 indexed citations
10.
Lee, Yoonseok, et al.. (2016). Comparison of Methane Production of Holstein Steers Fed Forage and Concentrates Separately or As a TMR. Han-guk choji josaryo hakoeji. 36(2). 104–108. 5 indexed citations
11.
Lee, Sunghoon, et al.. (2014). Dietary Conjugated Linoleic Acid (CLA) increases milk yield without losing body weight in lactating sows. Journal of Animal Science and Technology. 56(1). 11–11. 11 indexed citations
12.
Yeo, Joon Mo, et al.. (2014). Antioxidant Activities of Solvent Extracts from Rosa multiflora. Journal of Life Science. 24(11). 1217–1223. 9 indexed citations
13.
Yeo, Joon Mo, et al.. (2012). A Survey on Hanwoo Calf Management Prior to Weaning. Journal of Animal Science and Technology. 54(2). 141–147. 1 indexed citations
14.
Yeo, Joon Mo, et al.. (2009). Effects of Cordyceps militaris Mycelia on In vitro Rumen Microbial Fermentation. Asian-Australasian Journal of Animal Sciences. 22(2). 201–205. 8 indexed citations
15.
Xu, Cheng‐Xiong, Young Kyoon Oh, Zhizhen Li, et al.. (2008). Effect of feeding high-temperature, microtime-treated diets with different lipid sources on conjugated linoleic acid formation in finishing Hanwoo steers1. Journal of Animal Science. 86(11). 3033–3044. 3 indexed citations
16.
Yeo, Joon Mo. (2006). An Evaluation of Condensed Molasses Solubles (CMS) as a Source of Nitrogen for Ruminal Microbes In Vitro. Journal of Animal Science and Technology. 48(4). 513–520. 1 indexed citations
17.
Yeo, Joon Mo, Christopher H. Knight, I. M. Nevison, & David G. Chamberlain. (2003). Effects of Amino Acid Nutrition on the Responses of Dairy Cows to Milking More Frequently With or Without Injection of Growth Hormone. Journal of Dairy Science. 86(7). 2409–2415. 2 indexed citations
18.
Yeo, Joon Mo, Christopher H. Knight, & David G. Chamberlain. (2003). Effects of Dietary Amino Acid Balance on the Response of Dairy Cows to an Increase of Milking Frequency from Twice to Three Times Daily. Journal of Dairy Science. 86(10). 3309–3312. 2 indexed citations
19.
Yeo, Joon Mo, Christopher H. Knight, & David G. Chamberlain. (2003). Effects of Changes in Dietary Amino Acid Balance on Milk Yield and Mammary Function in Dairy Cows. Journal of Dairy Science. 86(4). 1436–1444. 11 indexed citations
20.

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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