Kerong Shi

432 total citations
24 papers, 332 citations indexed

About

Kerong Shi is a scholar working on Agronomy and Crop Science, Plant Science and Molecular Biology. According to data from OpenAlex, Kerong Shi has authored 24 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Agronomy and Crop Science, 9 papers in Plant Science and 7 papers in Molecular Biology. Recurrent topics in Kerong Shi's work include Plant Virus Research Studies (8 papers), Ruminant Nutrition and Digestive Physiology (6 papers) and Genetic and phenotypic traits in livestock (4 papers). Kerong Shi is often cited by papers focused on Plant Virus Research Studies (8 papers), Ruminant Nutrition and Digestive Physiology (6 papers) and Genetic and phenotypic traits in livestock (4 papers). Kerong Shi collaborates with scholars based in China, United States and Lithuania. Kerong Shi's co-authors include Xuefeng Yuan, Anne E. Simon, Xueyan Lin, Zhonghua Wang, Zhengui Yan, Zhiyong Hu, Arturas Meškauskas, Yuanyuan Gao, Qiuling Hou and Zhiying Yan and has published in prestigious journals such as PLoS ONE, Journal of Virology and Scientific Reports.

In The Last Decade

Kerong Shi

22 papers receiving 327 citations

Peers

Kerong Shi

ACS

GENET

CCM

Guohua Zhang China

Su Hua Guan China

Luiz Roberto Furlan Brazil

Sara Ricci Austria

Yuzhu Sha China

Woncheoul Park South Korea

Meng Pan China

Agnieszka Witek Poland

Cornelia Lemke United States

Guohua Zhang China

Kerong Shi

347 ×2.5

37 ×0.3

ACS

157 ×1.5

35 ×0.5

GENET

29 ×0.5

CCM

Citations per year, relative to Kerong Shi Kerong Shi (= 1×) peers Guohua Zhang

Countries citing papers authored by Kerong Shi

Since Specialization

Citations

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

Fields of papers citing papers by Kerong Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kerong Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Kerong Shi. A scholar is included among the top collaborators of Kerong Shi 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 Kerong Shi. Kerong Shi 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

Liu, Yu, Kerong Shi, Haitao Gao, et al.. (2024). A Trp-574-Leu mutation in acetolactate synthase confers imazamox resistance in barnyardgrass (Echinochloa crus-galli) from China. Weed Science. 72(6). 683–692.

Chen, Fenfen, et al.. (2022). Multi-omics analyses reveal that the gut microbiome and its metabolites promote milk fat synthesis in Zhongdian yak cows. PeerJ. 10. e14444–e14444. 11 indexed citations

Sun, Xiaomei, Yan Liang, Cheng Tang, et al.. (2021). AGPAT3 Gene polymorphisms are associated with milk production traits in Chinese Holstein cows. Journal of Dairy Research. 88(3). 247–252. 7 indexed citations

Wang, Xi, Xi Li, S. Vincent Wu, Kerong Shi, & Yanghua He. (2021). DNA methylation and transcriptome comparative analysis for Lvliang Black goats in distinct feeding pattern reveals epigenetic basis for environment adaptation. Biotechnology & Biotechnological Equipment. 35(1). 788–795. 3 indexed citations

Lin, Xueyan, Zhiyong Hu, Qiuling Hou, et al.. (2020). A Study on the Mechanism Regulating Acetate to Propionate Ratio in Rumen Fermentation by Dietary Carbohydrate Type. Advances in Bioscience and Biotechnology. 11(8). 369–390. 15 indexed citations

Zhao, Kai-Di, Xueyan Lin, Zhiyong Hu, et al.. (2019). Effects of rumen-protected methionine and other essential amino acid supplementation on milk and milk component yields in lactating Holstein cows. Journal of Dairy Science. 102(9). 7936–7947. 38 indexed citations

Lin, Xueyan, et al.. (2018). Effect of initial time of forage supply on growth and rumen development in preweaning calves. Animal Production Science. 58(12). 2224–2232. 16 indexed citations

Liu, Shanshan, et al.. (2017). Structural alteration of a BYDV-like translation element (BTE) that attenuates p35 expression in three mild Tobacco bushy top virus isolates. Scientific Reports. 7(1). 4213–4213. 10 indexed citations

Lin, Xueyan, Jian Wang, Qiuling Hou, et al.. (2017). Effect of hay supplementation timing on rumen microbiota in suckling calves. MicrobiologyOpen. 7(1). 24 indexed citations

10.

Hou, Qiuling, Zhiyong Hu, Kerong Shi, et al.. (2017). Effects of Dietary Energy Density in the Dry Period on the Production Performance and Metabolism of Dairy Cows. Advances in Bioscience and Biotechnology. 8(3). 104–126. 2 indexed citations

11.

Lin, Xueyan, et al.. (2017). Effects of Supplemental Dietary Energy Source on Feed Intake, Lactation Performance, and Serum Indices of Early-Lactating Holstein Cows in a Positive Energy Balance. Advances in Bioscience and Biotechnology. 8(2). 68–77. 3 indexed citations

12.

Zhang, Zhenjia, et al.. (2016). Identification of three new isolates of Tomato spotted wilt virus from different hosts in China: molecular diversity, phylogenetic and recombination analyses. Virology Journal. 13(1). 8–8. 19 indexed citations

13.

Shi, Kerong, et al.. (2015). Phylogenetic and recombination analysis of Tobacco bushy top virus in China. Virology Journal. 12(1). 111–111. 3 indexed citations

14.

Gao, Yuanyuan, Xueyan Lin, Kerong Shi, Zhengui Yan, & Zhonghua Wang. (2013). Bovine Mammary Gene Expression Profiling during the Onset of Lactation. PLoS ONE. 8(8). e70393–e70393. 40 indexed citations

15.

Shi, Kerong, Feng He, Xuefeng Yuan, et al.. (2013). Genome-scale gene expression characteristics define the follicular initiation and developmental rules during folliculogenesis. Mammalian Genome. 24(7-8). 266–275. 3 indexed citations

16.

Shi, Kerong, et al.. (2011). Long-distance kissing loop interactions between a 3′ proximal Y-shaped structure and apical loops of 5′ hairpins enhance translation of Saguaro cactus virus. Virology. 417(1). 113–125. 38 indexed citations

17.

Yuan, Xuefeng, et al.. (2010). The terminal loop of a 3′ proximal hairpin plays a critical role in replication and the structure of the 3′ region of Turnip crinkle virus. Virology. 402(2). 271–280. 20 indexed citations

18.

Yuan, Xuefeng, Kerong Shi, Arturas Meškauskas, & Anne E. Simon. (2009). The 3′ end of Turnip crinkle virus contains a highly interactive structure including a translational enhancer that is disrupted by binding to the RNA-dependent RNA polymerase. RNA. 15(10). 1849–1864. 38 indexed citations

19.

Shi, Kerong, Xuefeng Yuan, Liying Du, et al.. (2006). Advanced methods of isolation and identification of porcine primordial follicles. Animal Reproduction Science. 101(1-2). 163–171. 6 indexed citations

20.

Shi, Kerong, Aiguo Wang, Ning Li, & Xuemei Deng. (2004). Single nucleotide polymorphism analysis on melanocortin receptor 1 (MC1R) of Chinese native pig. Science in China Series C Life Sciences. 47(3). 287–292. 7 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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