Shiwei Zhou

1.3k total citations
37 papers, 719 citations indexed

About

Shiwei Zhou is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Shiwei Zhou has authored 37 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Genetics and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Shiwei Zhou's work include CRISPR and Genetic Engineering (15 papers), Animal Genetics and Reproduction (11 papers) and Drug Transport and Resistance Mechanisms (4 papers). Shiwei Zhou is often cited by papers focused on CRISPR and Genetic Engineering (15 papers), Animal Genetics and Reproduction (11 papers) and Drug Transport and Resistance Mechanisms (4 papers). Shiwei Zhou collaborates with scholars based in China, Egypt and Germany. Shiwei Zhou's co-authors include Yulin Chen, Xiaolong Wang, Bei Cai, Peter Kalds, Yan Shu, Björn Petersen, Baohua Ma, Xingxu Huang, Xiaoe Zhao and Tad S. Sonstegard and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Shiwei Zhou

34 papers receiving 688 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiwei Zhou China 18 422 400 81 47 46 37 719
Lei An China 22 493 1.2× 202 0.5× 97 1.2× 38 0.8× 60 1.3× 65 1.1k
Dong Il Jin South Korea 21 712 1.7× 298 0.7× 42 0.5× 55 1.2× 69 1.5× 88 1.4k
Yongjie Wan China 20 641 1.5× 364 0.9× 152 1.9× 46 1.0× 60 1.3× 66 1.1k
Zhongxian Xu China 16 393 0.9× 127 0.3× 183 2.3× 88 1.9× 85 1.8× 41 742
Jianhui Tian China 23 638 1.5× 239 0.6× 119 1.5× 61 1.3× 68 1.5× 90 1.5k
Caifang Ren China 16 397 0.9× 218 0.5× 267 3.3× 35 0.7× 17 0.4× 37 716
Yonggang Liu China 14 269 0.6× 214 0.5× 122 1.5× 97 2.1× 71 1.5× 46 636
Weihua Du China 23 541 1.3× 249 0.6× 92 1.1× 46 1.0× 104 2.3× 70 1.5k
Wooyoung Jeong South Korea 22 364 0.9× 210 0.5× 229 2.8× 117 2.5× 42 0.9× 59 929

Countries citing papers authored by Shiwei Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Shiwei Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiwei Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Shiwei Zhou. A scholar is included among the top collaborators of Shiwei Zhou 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 Shiwei Zhou. Shiwei Zhou 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.
Peng, Xiaowei, Peng Wu, Tao Ouyang, et al.. (2025). AI-based multimodal prediction of lymph node metastasis and capsular invasion in cT1N0M0 papillary thyroid carcinoma. Frontiers in Endocrinology. 16. 1580885–1580885. 1 indexed citations
2.
3.
Kalds, Peter, Shiwei Zhou, Shuhong Huang, et al.. (2023). When Less Is More: Targeting the Myostatin Gene in Livestock for Augmenting Meat Production. Journal of Agricultural and Food Chemistry. 71(10). 4216–4227. 8 indexed citations
4.
Gao, Yawei, Bei Cai, Qian Wang, et al.. (2023). Sheep with partial RXFP2 knockout exhibit normal horn phenotype but unilateral cryptorchidism. Journal of Integrative Agriculture. 24(9). 3698–3702. 4 indexed citations
5.
Zhou, Shiwei, Peter Kalds, Qi Luo, et al.. (2022). Optimized Cas9:sgRNA delivery efficiently generates biallelic MSTN knockout sheep without affecting meat quality. BMC Genomics. 23(1). 348–348. 23 indexed citations
6.
Zhou, Xianhui, Ke Zhang, Shuhong Huang, et al.. (2022). Inactivation of the MSTN gene expression changes the composition and function of the gut microbiome in sheep. BMC Microbiology. 22(1). 273–273. 13 indexed citations
7.
Kalds, Peter, Shiwei Zhou, Yawei Gao, et al.. (2022). Genetics of the phenotypic evolution in sheep: a molecular look at diversity-driving genes. Genetics Selection Evolution. 54(1). 61–61. 40 indexed citations
8.
Guo, Tingting, Hongchang Zhao, Chao Yuan, et al.. (2021). Selective Sweeps Uncovering the Genetic Basis of Horn and Adaptability Traits on Fine-Wool Sheep in China. Frontiers in Genetics. 12. 604235–604235. 8 indexed citations
9.
Zhao, Jin, Qiang Ding, Lan Li, et al.. (2021). Deletions in the KAP6-1 gene are associated with fiber traits in cashmere-producing goats. Animal Biotechnology. 33(6). 1198–1204. 1 indexed citations
10.
Yang, Hong, et al.. (2021). Divergent Regulation of OCT and MATE Drug Transporters by Cadmium Exposure. Pharmaceutics. 13(4). 537–537. 7 indexed citations
11.
Kalds, Peter, Qi Luo, Kexin Sun, et al.. (2021). Trends towards revealing the genetic architecture of sheep tail patterning: Promising genes and investigatory pathways. Animal Genetics. 52(6). 799–812. 27 indexed citations
12.
Kalds, Peter, Yawei Gao, Shiwei Zhou, et al.. (2020). Redesigning small ruminant genomes with CRISPR toolkit: Overview and perspectives. Theriogenology. 147. 25–33. 20 indexed citations
13.
Zhou, Shiwei, et al.. (2020). Effect of dietary nutrition on tail fat deposition and evaluation of tail-related genes in fat-tailed sheep. Electronic Journal of Biotechnology. 46. 30–37. 5 indexed citations
14.
Kalds, Peter, Shiwei Zhou, Bei Cai, et al.. (2019). Sheep and Goat Genome Engineering: From Random Transgenesis to the CRISPR Era. Frontiers in Genetics. 10. 750–750. 72 indexed citations
15.
Huang, Yu, Yao Liu, Shiwei Zhou, et al.. (2019). Optimisation of the clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 : single-guide RNA (sgRNA) delivery system in a goat model. Reproduction Fertility and Development. 31(9). 1533–1537. 3 indexed citations
16.
Zeng, Jie, Shiwei Zhou, Jin Zhao, et al.. (2019). Role of OXCT1 in ovine adipose and preadipocyte differentiation. Biochemical and Biophysical Research Communications. 512(4). 779–785. 10 indexed citations
17.
Li, Chao, Shiwei Zhou, Yan Li, et al.. (2018). Trio-Based Deep Sequencing Reveals a Low Incidence of Off-Target Mutations in the Offspring of Genetically Edited Goats. Frontiers in Genetics. 9. 449–449. 26 indexed citations
18.
Wang, Xiaolong, Yiyuan Niu, Jiankui Zhou, et al.. (2016). Multiplex gene editing via CRISPR/Cas9 exhibits desirable muscle hypertrophy without detectable off-target effects in sheep. Scientific Reports. 6(1). 32271–32271. 74 indexed citations
19.
Zhou, Shiwei, et al.. (2014). Liraglutide reduces lipid accumulation in steatotic L-02 cells by enhancing autophagy. Molecular Medicine Reports. 10(5). 2351–2357. 32 indexed citations
20.
Xiao, Yu‐Dong, Shiwei Zhou, Cong Ma, et al.. (2013). Radiological and histopathological features of hepatic inflammatory myofibroblastic tumour: Analysis of 10 cases. Clinical Radiology. 68(11). 1114–1120. 8 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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