Feng‐Qi Zhao

4.2k total citations
79 papers, 2.3k citations indexed

About

Feng‐Qi Zhao is a scholar working on Molecular Biology, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Feng‐Qi Zhao has authored 79 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 23 papers in Genetics and 16 papers in Agronomy and Crop Science. Recurrent topics in Feng‐Qi Zhao's work include Metabolism, Diabetes, and Cancer (15 papers), Digestive system and related health (13 papers) and Milk Quality and Mastitis in Dairy Cows (11 papers). Feng‐Qi Zhao is often cited by papers focused on Metabolism, Diabetes, and Cancer (15 papers), Digestive system and related health (13 papers) and Milk Quality and Mastitis in Dairy Cows (11 papers). Feng‐Qi Zhao collaborates with scholars based in United States, China and Canada. Feng‐Qi Zhao's co-authors include Aileen F. Keating, J.J. Kennelly, Jianxin Liu, Hongyun Liu, T.B. McFadden, Bing Dong, Suzanne L. Ishaq, Huawei Zeng, André‐Denis G. Wright and David R. Glimm and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Feng‐Qi Zhao

75 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng‐Qi Zhao United States 26 1.1k 605 488 327 304 79 2.3k
Juan C. Marini United States 26 1.3k 1.2× 303 0.5× 479 1.0× 329 1.0× 831 2.7× 75 2.9k
Honglin Jiang United States 27 995 0.9× 622 1.0× 467 1.0× 99 0.3× 435 1.4× 98 2.3k
Hongyun Liu China 29 1.2k 1.1× 506 0.8× 614 1.3× 295 0.9× 320 1.1× 146 2.6k
Noboru MANABE Japan 35 1.8k 1.6× 549 0.9× 481 1.0× 93 0.3× 428 1.4× 178 4.3k
Pascal Froment France 37 1.2k 1.1× 400 0.7× 233 0.5× 105 0.3× 204 0.7× 132 3.8k
Jong‐Soo Chang South Korea 26 1.3k 1.2× 259 0.4× 261 0.5× 153 0.5× 204 0.7× 80 2.5k
Aileen F. Keating United States 24 666 0.6× 238 0.4× 198 0.4× 125 0.4× 324 1.1× 105 2.1k
Valeria Vasta Italy 32 1.5k 1.4× 456 0.8× 906 1.9× 357 1.1× 109 0.4× 80 4.3k
Vilceu Bordignon Canada 31 1.4k 1.3× 803 1.3× 489 1.0× 70 0.2× 115 0.4× 137 3.1k
Jun Luo China 29 1.3k 1.2× 381 0.6× 187 0.4× 337 1.0× 990 3.3× 93 2.3k

Countries citing papers authored by Feng‐Qi Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Feng‐Qi Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng‐Qi Zhao. 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 Feng‐Qi Zhao. The network helps show where Feng‐Qi Zhao may publish in the future.

Co-authorship network of co-authors of Feng‐Qi Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Feng‐Qi Zhao. A scholar is included among the top collaborators of Feng‐Qi Zhao 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 Feng‐Qi Zhao. Feng‐Qi Zhao 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.
Kraft, Jana, et al.. (2024). Molecular aspects of milk lipid synthesis and secretion in mammary epithelial cells. SHILAP Revista de lepidopterología. 1. 2 indexed citations
2.
He, Bin, Bo Zhou, Bin Wang, et al.. (2023). Effect of feeding level on growth, digestive and metabolic enzymes and antioxidant capacity in juvenile Yangtze sturgeon (Acipenser dabryanus). Aquaculture. 567. 739265–739265. 6 indexed citations
3.
Choudhary, Ratan K., et al.. (2023). Systemic and local responses of cytokines and tissue histology following intramammary lipopolysaccharide challenge in dairy cows. Journal of Dairy Science. 107(2). 1299–1310. 11 indexed citations
4.
Gu, Fengfei, L. Jiang, Diming Wang, Feng‐Qi Zhao, & Jianxin Liu. (2022). Supplementation with N-carbamoylglutamate during the transition period improves the function of neutrophils and reduces inflammation and oxidative stress in dairy cows. Journal of Dairy Science. 105(7). 5786–5795. 7 indexed citations
5.
Choudhary, Ratan K., et al.. (2021). Hypogalactia in mammary quarters adjacent to lipopolysaccharide-infused quarters is associated with transcriptional changes in immune genes. Journal of Dairy Science. 104(8). 9276–9286. 10 indexed citations
6.
Zhou, Miaomiao, et al.. (2021). Regulation of Milk Protein Synthesis by Free and Peptide-Bound Amino Acids in Dairy Cows. Biology. 10(10). 1044–1044. 14 indexed citations
7.
Hou, Pengfei, et al.. (2021). Nrf2‐ARE Signaling Partially Attenuates Lipopolysaccharide‐Induced Mammary Lesions via Regulation of Oxidative and Organelle Stresses but Not Inflammatory Response in Mice. Oxidative Medicine and Cellular Longevity. 2021(1). 8821833–8821833. 6 indexed citations
8.
9.
Takashima, Miyuki, et al.. (2021). Localized and Systemic Inflammatory Mediators in a Murine Acute Mastitis Model. Journal of Inflammation Research. Volume 14. 4053–4067. 7 indexed citations
10.
Tian, Qing, et al.. (2020). Bacterial Endotoxin Induces Oxidative Stress and Reduces Milk Protein Expression and Hypoxia in the Mouse Mammary Gland. Oxidative Medicine and Cellular Longevity. 2020. 1–16. 11 indexed citations
11.
Choudhary, Ratan K., et al.. (2020). Intramammary lipopolysaccharide infusion induces local and systemic effects on milk components in lactating bovine mammary glands. Journal of Dairy Science. 103(8). 7487–7497. 20 indexed citations
12.
13.
Qian, Xi & Feng‐Qi Zhao. (2016). Regulatory roles of Oct proteins in the mammary gland. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1859(6). 812–819. 8 indexed citations
14.
Qian, Xi & Feng‐Qi Zhao. (2014). Collaborative interaction of Oct-2 with Oct-1 in transactivation of lactogenic hormones-induced β-casein gene expression in mammary epithelial cells. General and Comparative Endocrinology. 204. 185–194. 3 indexed citations
15.
Qian, Xi, Jana Kraft, Yingdong Ni, & Feng‐Qi Zhao. (2014). Production of recombinant human proinsulin in the milk of transgenic mice. Scientific Reports. 4(1). 6465–6465. 11 indexed citations
16.
Zhao, Feng‐Qi. (2013). Biology of Glucose Transport in the Mammary Gland. Journal of Mammary Gland Biology and Neoplasia. 19(1). 3–17. 111 indexed citations
17.
18.
McFadden, T.B., et al.. (2008). Onset of lactation in the bovine mammary gland: gene expression profiling indicates a strong inhibition of gene expression in cell proliferation. Functional & Integrative Genomics. 8(3). 251–264. 101 indexed citations
19.
Zhao, Feng‐Qi, J.J. Kennelly, W.M. Moseley, & H. A. Tucker. (1996). Regulation of the Gene Expression of Glucose Transporter in Liver and Kidney of Lactating Cows by Bovine Growth Hormone and Bovine Growth Hormone-Releasing Factor. Journal of Dairy Science. 79(9). 1537–1542. 7 indexed citations
20.
Zhao, Feng‐Qi, David R. Glimm, & J.J. Kennelly. (1993). Distribution of mammalian facilitative glucose transporter messenger rna in bovine tissues. International Journal of Biochemistry. 25(12). 1897–1903. 80 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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