Juan J. Loor

24.4k total citations · 2 hit papers
616 papers, 19.1k citations indexed

About

Juan J. Loor is a scholar working on Agronomy and Crop Science, Molecular Biology and Genetics. According to data from OpenAlex, Juan J. Loor has authored 616 papers receiving a total of 19.1k indexed citations (citations by other indexed papers that have themselves been cited), including 304 papers in Agronomy and Crop Science, 166 papers in Molecular Biology and 144 papers in Genetics. Recurrent topics in Juan J. Loor's work include Reproductive Physiology in Livestock (213 papers), Ruminant Nutrition and Digestive Physiology (149 papers) and Genetic and phenotypic traits in livestock (109 papers). Juan J. Loor is often cited by papers focused on Reproductive Physiology in Livestock (213 papers), Ruminant Nutrition and Digestive Physiology (149 papers) and Genetic and phenotypic traits in livestock (109 papers). Juan J. Loor collaborates with scholars based in United States, China and Italy. Juan J. Loor's co-authors include Massimo Bionaz, J.K. Drackley, Erminio Trevisi, J.H. Herbein, Manabu Nakamura, J. S. Osorio, D. Luchini, Anne Ferlay, Sandra L. Rodriguez‐Zas and M. Vailati-Riboni and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Juan J. Loor

591 papers receiving 18.7k citations

Hit Papers

Gene networks driving bovine milk fat synthesis during th... 2008 2026 2014 2020 2008 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan J. Loor United States 68 9.4k 5.5k 5.2k 3.7k 3.1k 616 19.1k
J.K. Drackley United States 61 9.6k 1.0× 1.3k 0.2× 4.6k 0.9× 1.9k 0.5× 2.9k 1.0× 258 13.0k
Dale E. Bauman United States 57 7.2k 0.8× 1.4k 0.2× 3.8k 0.7× 4.8k 1.3× 2.7k 0.9× 103 11.9k
Le Luo Guan Canada 63 5.6k 0.6× 4.8k 0.9× 2.0k 0.4× 1.2k 0.3× 1.6k 0.5× 289 11.9k
Massimo Bionaz United States 37 2.9k 0.3× 1.8k 0.3× 2.0k 0.4× 1.0k 0.3× 1.0k 0.3× 130 6.1k
Stephen B. Smith United States 54 1.9k 0.2× 3.0k 0.5× 1.9k 0.4× 2.3k 0.6× 4.6k 1.5× 294 11.4k
L.H. Baumgard United States 60 5.0k 0.5× 1.2k 0.2× 2.0k 0.4× 2.3k 0.6× 7.7k 2.5× 270 12.4k
Jianxin Liu China 53 4.1k 0.4× 3.8k 0.7× 1.7k 0.3× 1.1k 0.3× 1.4k 0.5× 483 11.0k
Lorraine M. Sordillo United States 50 5.5k 0.6× 1.3k 0.2× 1.4k 0.3× 2.0k 0.5× 1.5k 0.5× 199 8.7k
R.L. Baldwin United States 57 6.2k 0.7× 1.9k 0.3× 3.4k 0.7× 1.1k 0.3× 2.1k 0.7× 278 10.3k
‬Min Du United States 69 992 0.1× 6.3k 1.1× 1.6k 0.3× 1.7k 0.5× 2.6k 0.8× 406 15.2k

Countries citing papers authored by Juan J. Loor

Since Specialization
Citations

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

Fields of papers citing papers by Juan J. Loor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan J. Loor. 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 Juan J. Loor. The network helps show where Juan J. Loor may publish in the future.

Co-authorship network of co-authors of Juan J. Loor

This figure shows the co-authorship network connecting the top 25 collaborators of Juan J. Loor. A scholar is included among the top collaborators of Juan J. Loor 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 Juan J. Loor. Juan J. Loor 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
3.
Paengkoum, Pramote, et al.. (2025). Effect of Isolation Ruminal Yeast from Ruminants on In Vitro Ruminal Fermentation. Veterinary Sciences. 12(2). 155–155. 1 indexed citations
5.
Yang, Wei, Yan Tian, John Mauck, et al.. (2024). β-sitosterol alleviates high fatty acid-induced lipid accumulation in calf hepatocytes by regulating cholesterol metabolism. The Journal of Steroid Biochemistry and Molecular Biology. 243. 106543–106543. 1 indexed citations
6.
Li, Bowen, Chenxu Zhao, Juan J. Loor, et al.. (2023). Effects of perinatal stress on the metabolites and lipids in plasma of dairy goats. SHILAP Revista de lepidopterología. 3(1). 11–11. 4 indexed citations
7.
Yu, Hao, Juan J. Loor, Qianming Jiang, et al.. (2022). Activation of Transcription Factor EB Is Associated With Adipose Tissue Lipolysis in Dairy Cows With Subclinical Ketosis. Frontiers in Veterinary Science. 9. 816064–816064. 2 indexed citations
8.
Dong, Jihong, Juan J. Loor, Yuxiang Song, et al.. (2022). Increased adipose tissue lipolysis in dairy cows with fatty liver is associated with enhanced autophagy activity. Journal of Dairy Science. 105(2). 1731–1742. 8 indexed citations
9.
Xu, Qiushi, Juan J. Loor, Yusheng Liang, et al.. (2021). All-trans retinoic acid controls differentiation, proliferation, and lipolysis in isolated subcutaneous adipocytes from peripartal Holstein cows. Journal of Dairy Science. 104(4). 4999–5008. 9 indexed citations
10.
Chen, Yuanyuan, Yan Tang, Hongdou Jia, et al.. (2021). Nuclear factor erythroid 2-related factor 2 protects bovine mammary epithelial cells against free fatty acid-induced mitochondrial dysfunction in vitro. Journal of Dairy Science. 104(12). 12830–12844. 16 indexed citations
11.
12.
Chen, Meng, Juan J. Loor, Yusheng Liang, et al.. (2020). Short communication: Enhanced autophagy activity in liver tissue of dairy cows with mild fatty liver. Journal of Dairy Science. 103(4). 3628–3635. 13 indexed citations
13.
Shu, Xin, Zhiyuan Fang, Yuan Guan, et al.. (2020). High levels of fatty acids inhibit β-casein synthesis through suppression of the JAK2/STAT5 and mTOR signaling pathways in mammary epithelial cells of cows with clinical ketosis. Journal of Dairy Research. 87(2). 212–219. 10 indexed citations
14.
Dong, Jihong, Juan J. Loor, Xiying Chen, et al.. (2019). Low abundance of mitofusin 2 in dairy cows with moderate fatty liver is associated with alterations in hepatic lipid metabolism. Journal of Dairy Science. 102(8). 7536–7547. 27 indexed citations
15.
Xu, Qiushi, Xiaobing Li, Li Ma, et al.. (2019). Adipose tissue proteomic analysis in ketotic or healthy Holstein cows in early lactation1. Journal of Animal Science. 97(7). 2837–2849. 22 indexed citations
16.
Sun, Xudong, Yazhe Wang, Juan J. Loor, et al.. (2018). High expression of cell death-inducing DFFA-like effector a (CIDEA) promotes milk fat content in dairy cows with clinical ketosis. Journal of Dairy Science. 102(2). 1682–1692. 40 indexed citations
17.
Du, Xiliang, Guowen Liu, Juan J. Loor, et al.. (2018). Impaired hepatic autophagic activity in dairy cows with severe fatty liver is associated with inflammation and reduced liver function. Journal of Dairy Science. 101(12). 11175–11185. 39 indexed citations
18.
Jacometo, Carolina Bespalhok, Abdulrahman S. Alharthi, Zheng Zhou, D. Luchini, & Juan J. Loor. (2018). Maternal supply of methionine during late pregnancy is associated with changes in immune function and abundance of microRNA and mRNA in Holstein calf polymorphonuclear leukocytes. Journal of Dairy Science. 101(9). 8146–8158. 36 indexed citations
19.
Wang, Hui, Huaiping Shi, Jun Luo, et al.. (2016). MiR‐145 Regulates Lipogenesis in Goat Mammary Cells Via Targeting INSIG1 and Epigenetic Regulation of Lipid‐Related Genes. Journal of Cellular Physiology. 232(5). 1030–1040. 51 indexed citations
20.
Bomba, Lorenzo, Andrea Minuti, Sonia J. Moisá, et al.. (2014). Gut response induced by weaning in piglet features marked changes in immune and inflammatory response. Functional & Integrative Genomics. 14(4). 657–671. 67 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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