Jiangbo Cheng

576 total citations
41 papers, 275 citations indexed

About

Jiangbo Cheng is a scholar working on Genetics, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Jiangbo Cheng has authored 41 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 21 papers in Molecular Biology and 12 papers in Agronomy and Crop Science. Recurrent topics in Jiangbo Cheng's work include Genetic and phenotypic traits in livestock (26 papers), Ruminant Nutrition and Digestive Physiology (9 papers) and Cancer-related molecular mechanisms research (9 papers). Jiangbo Cheng is often cited by papers focused on Genetic and phenotypic traits in livestock (26 papers), Ruminant Nutrition and Digestive Physiology (9 papers) and Cancer-related molecular mechanisms research (9 papers). Jiangbo Cheng collaborates with scholars based in China, Estonia and United States. Jiangbo Cheng's co-authors include Deyin Zhang, Yukun Zhang, Changchun Lin, Xiaoxue Zhang, Jianhui Wang, Xiaolong Li, Fadi Li, Weimin Wang, Dan Xu and Liming Zhao and has published in prestigious journals such as Frontiers in Microbiology, PLoS Genetics and Gene.

In The Last Decade

Jiangbo Cheng

35 papers receiving 273 citations

Peers

Jiangbo Cheng

GENET

ACS

ASZ

Ramesh Kumar Vijh India

Qizhi Song China

Farhad Bordbar China

E Guangxin China

Tianzeng Song China

Eric Fritz-Waters United States

Chad Harland New Zealand

Arianna Manunza Spain

Mahmoud Amiri Roudbar Iran

Zhuqing Zheng China

Ramesh Kumar Vijh India

Jiangbo Cheng

211 ×1.4

GENET

97 ×0.9

76 ×1.0

ACS

85 ×1.3

53 ×0.8

ASZ

Citations per year, relative to Jiangbo Cheng Jiangbo Cheng (= 1×) peers Ramesh Kumar Vijh

Countries citing papers authored by Jiangbo Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Jiangbo Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangbo Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangbo Cheng. A scholar is included among the top collaborators of Jiangbo Cheng 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 Jiangbo Cheng. Jiangbo Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Huang, Songqian, Minghao Zhang, Qiao Huang, et al.. (2025). Uncovering the chromatin-mediated transcriptional regulatory network governing cold stress responses in fish immune cells. Journal of genetics and genomics. 52(8). 1046–1057. 2 indexed citations

Zhao, Liming, Fadi Li, Xiaoxue Zhang, et al.. (2024). Integrating genome-wide association and transcriptome analysis to provide molecular insights into growth rates in sheep1. Journal of Integrative Agriculture. 2 indexed citations

Huang, Songqian, C. Yan, Minghao Zhang, et al.. (2024). Integrated transcriptomic and epigenomic analyses to disclose the transcriptional regulatory mechanisms of lipid and energy metabolism under cold stress in grass carp. Aquaculture. 595. 741526–741526. 7 indexed citations

Chen, Zhanyu, Weimin Wang, Xiaojuan Wang, et al.. (2024). PDE9A polymorphism and association analysis with growth performance and gastrointestinal weight of Hu sheep. Gene. 900. 148137–148137.

Zhang, Yukun, Xiaoxue Zhang, Huibin Tian, et al.. (2024). Rumen microbiome and fat deposition in sheep: insights from a bidirectional mendelian randomization study. npj Biofilms and Microbiomes. 10(1). 129–129. 6 indexed citations

He, Lijuan, Weimin Wang, Xiaojuan Wang, et al.. (2024). Identification of the FGB gene polymorphism and analysis of its association with fat deposition traits in Hu sheep. Animal Biotechnology. 35(1). 2344207–2344207.

Yang, Xiaobin, Jianhui Wang, Jiangbo Cheng, et al.. (2024). Relationship between sheep feces scores and gastrointestinal microorganisms and their effects on growth traits and blood indicators. Frontiers in Microbiology. 15. 1348873–1348873. 6 indexed citations

Zhao, Liming, Lvfeng Yuan, Fadi Li, et al.. (2024). Whole-genome resequencing of Hu sheep identifies candidate genes associated with agronomic traits. Journal of genetics and genomics. 51(8). 866–876. 13 indexed citations

Lin, Changchun, Weimin Wang, Deyin Zhang, et al.. (2023). Analysis of liver miRNA in Hu sheep with different residual feed intake. Frontiers in Genetics. 14. 1113411–1113411.

10.

Wang, Weimin, Yukun Zhang, Xiaoxue Zhang, et al.. (2023). Heritability and recursive influence of host genetics on the rumen microbiota drive body weight variance in male Hu sheep lambs. Microbiome. 11(1). 197–197. 32 indexed citations

11.

Yang, Xiaobin, Weimin Wang, Deyin Zhang, et al.. (2023). Genetic polymorphism of the ovine MAP3K5 gene and its association with body size traits in Hu sheep of China. Archives animal breeding/Archiv für Tierzucht. 66(1). 71–79. 2 indexed citations

12.

Wang, Weimin, Deyin Zhang, Yukun Zhang, et al.. (2022). Ovine RAP1GAP and rBAT gene polymorphisms and their association with tail fat deposition in Hu sheep. Frontiers in Veterinary Science. 9. 974513–974513. 6 indexed citations

13.

Zhao, Yuan, Xiaoxue Zhang, Fadi Li, et al.. (2022). Whole Genome Sequencing Analysis to Identify Candidate Genes Associated With the rib eye Muscle Area in Hu Sheep. Frontiers in Genetics. 13. 824742–824742. 15 indexed citations

14.

Zhao, Liming, Fadi Li, Xiaoxue Zhang, et al.. (2022). Integrative analysis of transcriptomics and proteomics of longissimus thoracis of the Hu sheep compared with the Dorper sheep. Meat Science. 193. 108930–108930. 28 indexed citations

15.

Zhao, Liming, Deyin Zhang, Xiaolong Li, et al.. (2022). Comparative proteomics reveals genetic mechanisms of body weight in Hu sheep and Dorper sheep. Journal of Proteomics. 267. 104699–104699. 13 indexed citations

16.

Wang, Jianhui, Xiaojuan Wang, Fadi Li, et al.. (2022). Molecular characterization and expression of RPS23 and HPSE and their association with hematologic parameters in sheep. Gene. 837. 146654–146654. 3 indexed citations

17.

Cheng, Jiangbo, Xiaoxue Zhang, Fadi Li, et al.. (2021). Detecting Single Nucleotide Polymorphisms in MEF2B and UCP3 and Elucidating Their Association with Sheep Growth Traits. DNA and Cell Biology. 40(12). 1554–1562. 8 indexed citations

18.

Zhao, Liming, Fadi Li, Teng Liu, et al.. (2021). Ovine ELOVL5 and FASN genes polymorphisms and their correlations with sheep tail fat deposition. Gene. 807. 145954–145954. 13 indexed citations

19.

Zhao, Liming, Fadi Li, Lvfeng Yuan, et al.. (2021). Expression of ovine CTNNA3 and CAP2 genes and their association with growth traits. Gene. 807. 145949–145949. 21 indexed citations

20.

Zhang, Deyin, Xiaoxue Zhang, Fadi Li, et al.. (2021). Whole-genome resequencing identified candidate genes associated with the number of ribs in Hu sheep. Genomics. 113(4). 2077–2084. 10 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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