Xibi Fang

539 total citations
44 papers, 401 citations indexed

About

Xibi Fang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Xibi Fang has authored 44 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Cancer Research and 16 papers in Genetics. Recurrent topics in Xibi Fang's work include Cancer-related molecular mechanisms research (18 papers), Genetic and phenotypic traits in livestock (11 papers) and MicroRNA in disease regulation (8 papers). Xibi Fang is often cited by papers focused on Cancer-related molecular mechanisms research (18 papers), Genetic and phenotypic traits in livestock (11 papers) and MicroRNA in disease regulation (8 papers). Xibi Fang collaborates with scholars based in China, United States and Germany. Xibi Fang's co-authors include Zhihui Zhao, Runjun Yang, Ping Jiang, Lixin Xia, Yuwei Yang, Xianzhong Yu, Boxing Sun, Hang Xiao, Wei He and Xiang Yu and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Xibi Fang

42 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xibi Fang China 13 204 190 144 55 52 44 401
Caifang Ren China 16 397 1.9× 267 1.4× 218 1.5× 35 0.6× 84 1.6× 37 716
Huibin Tian China 14 280 1.4× 191 1.0× 132 0.9× 42 0.8× 61 1.2× 37 497
Xiaoming Hou China 14 292 1.4× 133 0.7× 174 1.2× 38 0.7× 140 2.7× 36 551
Ye Lin China 13 262 1.3× 107 0.6× 143 1.0× 34 0.6× 137 2.6× 26 509
Yanhua Li China 10 142 0.7× 92 0.5× 190 1.3× 36 0.7× 63 1.2× 24 382
Urszula Czarnik Poland 12 215 1.1× 62 0.3× 129 0.9× 50 0.9× 42 0.8× 41 476
Abdelaziz Adam Idriss Arbab China 12 111 0.5× 127 0.7× 120 0.8× 62 1.1× 77 1.5× 25 324
Xiaoping Li China 11 131 0.6× 94 0.5× 120 0.8× 95 1.7× 25 0.5× 28 395
Yaxu Liang China 10 195 1.0× 99 0.5× 60 0.4× 23 0.4× 42 0.8× 20 323
Eung-Woo Park South Korea 11 153 0.8× 59 0.3× 190 1.3× 89 1.6× 18 0.3× 25 325

Countries citing papers authored by Xibi Fang

Since Specialization
Citations

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

Fields of papers citing papers by Xibi Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xibi Fang. 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 Xibi Fang. The network helps show where Xibi Fang may publish in the future.

Co-authorship network of co-authors of Xibi Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Xibi Fang. A scholar is included among the top collaborators of Xibi Fang 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 Xibi Fang. Xibi Fang 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
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Lu, Xin, Xibi Fang, Jiaqi Mi, et al.. (2023). Effects of Adipose Tissue-Specific Knockout of Delta-like Non-Canonical Notch Ligand 1 on Lipid Metabolism in Mice. International Journal of Molecular Sciences. 25(1). 132–132. 1 indexed citations
4.
Li, Peizhi, Xibi Fang, Guijie Hao, et al.. (2023). Methionine Promotes Milk Protein Synthesis via the PI3K-mTOR Signaling Pathway in Human Mammary Epithelial Cells. Metabolites. 13(11). 1149–1149. 1 indexed citations
5.
Zhao, Zhihui, et al.. (2023). Syndecan-3 Coregulates Milk Fat Metabolism and Inflammatory Reactions in Bovine Mammary Epithelial Cells through AMPK/SIRT1 Signaling Pathway. International Journal of Molecular Sciences. 24(7). 6657–6657. 9 indexed citations
6.
He, Wei, Xibi Fang, Xin Lu, et al.. (2022). Function Identification of Bovine ACSF3 Gene and Its Association With Lipid Metabolism Traits in Beef Cattle. Frontiers in Veterinary Science. 8. 766765–766765. 8 indexed citations
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Fang, Xibi, Lixin Xia, Wei He, et al.. (2021). Comparative Genome-Wide Alternative Splicing Analysis of Longissimus Dorsi Muscles Between Japanese Black (Wagyu) and Chinese Red Steppes Cattle. Frontiers in Veterinary Science. 8. 634577–634577. 10 indexed citations
9.
Jiang, Ping, et al.. (2021). Transcriptomic Analysis of Short/Branched-Chain Acyl-Coenzyme a Dehydrogenase Knocked Out bMECs Revealed Its Regulatory Effect on Lipid Metabolism. Frontiers in Veterinary Science. 8. 744287–744287. 17 indexed citations
10.
Xia, Lixin, Zhihui Zhao, Runjun Yang, et al.. (2020). miR-2382-5p Regulates Lipid Metabolism by Targeting NDRG2 in Mammary Epithelial Cells of Dairy Cattle. DNA and Cell Biology. 39(12). 2125–2133. 1 indexed citations
11.
Li, Xiaohui, Ping Jiang, Yuwei Yang, et al.. (2019). miR-21-3p Targets Elovl5 and Regulates Triglyceride Production in Mammary Epithelial Cells of Cow. DNA and Cell Biology. 38(4). 352–357. 18 indexed citations
12.
Liu, Yinuo, Xibi Fang, Zhihui Zhao, et al.. (2019). Polymorphisms of the <i>ASIP</i> gene and the haplotype are associated with fat deposition traits and fatty acid composition in Chinese Simmental steers. Archives animal breeding/Archiv für Tierzucht. 62(1). 135–142. 4 indexed citations
13.
Yu, Xiang, Xibi Fang, Hang Xiao, et al.. (2019). The effect of acyl-CoA synthetase long-chain family member 5 on triglyceride synthesis in bovine preadipocytes. Archives animal breeding/Archiv für Tierzucht. 62(1). 257–264. 3 indexed citations
14.
Yang, Yuwei, Xibi Fang, Runjun Yang, et al.. (2018). MiR-152 Regulates Apoptosis and Triglyceride Production in MECs via Targeting ACAA2 and HSD17B12 Genes. Scientific Reports. 8(1). 417–417. 36 indexed citations
15.
Liu, Xiaochuan, Yuwei Yang, Ping Jiang, et al.. (2018). Effect of <i>QSOX1</i> on cattle carcass traits as well as apoptosis and triglyceride production in bovine fetal fibroblasts and mammary epithelial cells. Journal of Veterinary Medical Science. 80(8). 1329–1336. 3 indexed citations
16.
Fang, Xibi, Zhihui Zhao, Guangpeng Li, et al.. (2017). Comparative genome-wide methylation analysis of longissimus dorsi muscles between Japanese black (Wagyu) and Chinese Red Steppes cattle. PLoS ONE. 12(8). e0182492–e0182492. 33 indexed citations
17.
Xiao, Hong‐Bo, Zhihui Zhao, Xibi Fang, et al.. (2016). Association of the ACSL5 gene g.33185918G > A and g.33186348C > T mutations with carcass and meat quality traits of Chinese Simmental-cross steers.. The Journal of Animal and Plant Sciences. 26(3). 658–664. 1 indexed citations
18.
Yang, Yuwei, Boxing Sun, Runjun Yang, et al.. (2016). miR-29b Targets LPL and TDG Genes and Regulates Apoptosis and Triglyceride Production in MECs. DNA and Cell Biology. 35(12). 758–765. 16 indexed citations
19.
Fang, Xibi, Shan Li, Yunyun Cheng, et al.. (2015). Linkage analysis of SNPs in IGFBP-6 and its relation with the body sizes of pig. Genetics and Molecular Research. 14(4). 17273–17280. 1 indexed citations
20.
Fang, Xibi, Liying Zhang, Xiang Yu, et al.. (2013). Association of HSL gene E1-c.276C>T and E8-c.51C>T mutation with economical traits of Chinese Simmental cattle. Molecular Biology Reports. 41(1). 105–112. 18 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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