Jiuqiang Guan

878 total citations
27 papers, 606 citations indexed

About

Jiuqiang Guan is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Jiuqiang Guan has authored 27 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Genetics and 8 papers in Cancer Research. Recurrent topics in Jiuqiang Guan's work include Adipose Tissue and Metabolism (7 papers), Cancer-related molecular mechanisms research (6 papers) and Genetic and phenotypic traits in livestock (5 papers). Jiuqiang Guan is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Cancer-related molecular mechanisms research (6 papers) and Genetic and phenotypic traits in livestock (5 papers). Jiuqiang Guan collaborates with scholars based in China, United States and Thailand. Jiuqiang Guan's co-authors include Mingzhou Li, Xuewei Li, Zonggang Luo, Tao Wang, Surong Shuai, Xiaolin Luo, Xiaolian Gao, Lei Chen, Haosi Chen and Xiang Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Jiuqiang Guan

26 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiuqiang Guan China 13 328 304 137 74 66 27 606
Zongjun Yin China 14 279 0.9× 277 0.9× 289 2.1× 47 0.6× 92 1.4× 81 683
Guangyu Li China 15 665 2.0× 365 1.2× 164 1.2× 151 2.0× 47 0.7× 47 960
Yaqiu Lin China 15 351 1.1× 186 0.6× 143 1.0× 36 0.5× 52 0.8× 93 751
Yiren Gu China 11 514 1.6× 443 1.5× 158 1.2× 22 0.3× 60 0.9× 40 791
Boxing Sun China 15 293 0.9× 208 0.7× 118 0.9× 26 0.4× 74 1.1× 44 560
Youji Ma China 13 248 0.8× 214 0.7× 326 2.4× 74 1.0× 59 0.9× 47 589
Jincheng Zhong China 18 537 1.6× 292 1.0× 401 2.9× 145 2.0× 93 1.4× 86 1.0k
Tainã Figueiredo Cardoso Brazil 16 162 0.5× 177 0.6× 439 3.2× 93 1.3× 105 1.6× 56 798
Zhibin Ji China 16 380 1.2× 392 1.3× 213 1.6× 85 1.1× 49 0.7× 41 650
C. Y. Deng China 15 253 0.8× 136 0.4× 249 1.8× 22 0.3× 122 1.8× 50 555

Countries citing papers authored by Jiuqiang Guan

Since Specialization
Citations

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

Fields of papers citing papers by Jiuqiang Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiuqiang Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Jiuqiang Guan. A scholar is included among the top collaborators of Jiuqiang Guan 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 Jiuqiang Guan. Jiuqiang Guan 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.
Zhao, Hongwen, Quan Mo, Muhammad Fakhar‐e‐Alam Kulyar, et al.. (2024). Metagenomic Analysis Reveals A Gut Microbiota Structure and Function Alteration between Healthy and Diarrheic Juvenile Yaks. Animals. 14(8). 1181–1181. 2 indexed citations
2.
Zhou, Zhiwei, Yulan Jin, Yu Fu, et al.. (2023). Carcass characteristics and meat quality attributes of cattleyak in Tibet Plateau. SHILAP Revista de lepidopterología. 1(3). 9240027–9240027. 2 indexed citations
3.
Li, Biao, et al.. (2023). Antimicrobial activity of yak beta-defensin 116 against Staphylococcus aureus and its role in gut homeostasis. International Journal of Biological Macromolecules. 253(Pt 2). 126761–126761. 3 indexed citations
4.
Zheng, Yao, et al.. (2022). Comparative proteomic analysis of spleen reveals key immune-related proteins in the yak (Bos grunniens) at different growth stages. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 42. 100968–100968. 9 indexed citations
5.
Zhang, Ling, et al.. (2022). Yak DEFB124 alleviates intestinal injury caused by Staphylococcus aureus infection. International Immunopharmacology. 114. 109531–109531.
6.
7.
Wang, Li, et al.. (2022). Molecular characterization, expression and anti-tumor function analysis of yak IFITM2 gene. International Journal of Biological Macromolecules. 209(Pt A). 405–412. 2 indexed citations
8.
Zhang, Xiangfei, Xianwen Dong, Metha Wanapat, et al.. (2021). Ruminal pH pattern, fermentation characteristics and related bacteria in response to dietary live yeast (Saccharomyces cerevisiae) supplementation in beef cattle. Animal Bioscience. 35(2). 184–195. 19 indexed citations
9.
Wang, Jiabo, Jiabo Wang, Jiuqiang Guan, et al.. (2021). Comparative transcriptome analysis of winter yaks in plateau and plain. Reproduction in Domestic Animals. 57(1). 64–71. 3 indexed citations
10.
Zhang, Gongwei, Yuhui Wu, Zonggang Luo, et al.. (2019). Comparison of Y-chromosome-linked TSPY, TSPY2, and PRAMEY genes in Taurus cattle, yaks, and interspecific hybrid bulls. Journal of Dairy Science. 102(7). 6263–6275. 20 indexed citations
11.
Li, Ruolin, Jiuqiang Guan, Zhiwei Zhou, et al.. (2019). Skeletal muscle proteome analysis provides insights on high altitude adaptation of yaks. Molecular Biology Reports. 46(3). 2857–2866. 12 indexed citations
12.
Xue, Dan, et al.. (2018). Microbial diversity in the rumen, reticulum, omasum, and abomasum of yak on a rapid fattening regime in an agro-pastoral transition zone. The Journal of Microbiology. 56(10). 734–743. 26 indexed citations
13.
Nie, Yuanyang, Zhiwei Zhou, Jiuqiang Guan, et al.. (2017). Dynamic changes of yak (Bos grunniens) gut microbiota during growth revealed by polymerase chain reaction-denaturing gradient gel electrophoresis and metagenomics. Asian-Australasian Journal of Animal Sciences. 30(7). 957–966. 12 indexed citations
14.
Peng, Quanhui, et al.. (2016). Effects of Starvation on Lipid Metabolism and Gluconeogenesis in Yak. Asian-Australasian Journal of Animal Sciences. 29(11). 1593–1600. 19 indexed citations
15.
Zhang, Gongwei, et al.. (2016). A tremendous expansion of TSPY copy number in crossbred bulls (Bos taurus × Bos grunniens)1. Journal of Animal Science. 94(4). 1398–1407. 10 indexed citations
16.
Tang, Qianzi, Jiuqiang Guan, Long Jin, et al.. (2015). Transcriptomic analysis provides insight into high-altitude acclimation in domestic goats. Gene. 567(2). 208–216. 13 indexed citations
17.
Zhou, Shuling, et al.. (2012). Short Communication Differential expression analysis of porcine MDH1, MDH2 and ME1 genes in adipose tissues. Genetics and Molecular Research. 11(2). 1254–1259. 20 indexed citations
18.
Li, Mingzhou, Yingkai Liu, Tao Wang, et al.. (2011). Repertoire of Porcine MicroRNAs in Adult Ovary and Testis by Deep Sequencing. International Journal of Biological Sciences. 7(7). 1045–1055. 120 indexed citations
19.
Wang, Tao, Mingzhou Li, Jiuqiang Guan, et al.. (2011). MicroRNAs miR-27a and miR-143 Regulate Porcine Adipocyte Lipid Metabolism. International Journal of Molecular Sciences. 12(11). 7950–7959. 67 indexed citations
20.
Li, Mingzhou, Youlin Xia, Yiren Gu, et al.. (2010). MicroRNAome of Porcine Pre- and Postnatal Development. PLoS ONE. 5(7). e11541–e11541. 123 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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