Shengwei Hu

1.0k total citations
48 papers, 574 citations indexed

About

Shengwei Hu is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Shengwei Hu has authored 48 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 16 papers in Cancer Research and 15 papers in Genetics. Recurrent topics in Shengwei Hu's work include Cancer-related molecular mechanisms research (13 papers), MicroRNA in disease regulation (11 papers) and CRISPR and Genetic Engineering (8 papers). Shengwei Hu is often cited by papers focused on Cancer-related molecular mechanisms research (13 papers), MicroRNA in disease regulation (11 papers) and CRISPR and Genetic Engineering (8 papers). Shengwei Hu collaborates with scholars based in China, Kazakhstan and France. Shengwei Hu's co-authors include Wei Ni, Chuangfu Chen, Cunyuan Li, Jun Qiao, Xiaoyue Li, Mengdan Zhang, Dawei Wang, Wureli Hazi, Xiangyu Zhang and Jinliang Sheng and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shengwei Hu

46 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shengwei Hu China	14	405	201	172	79	48	48	574
Lili Niu China	15	277 0.7×	136 0.7×	187 1.1×	39 0.5×	43 0.9×	56	585
Yanghua He China	17	497 1.2×	176 0.9×	241 1.4×	189 2.4×	100 2.1×	43	847
Changzhi Zhao China	13	424 1.0×	64 0.3×	168 1.0×	25 0.3×	45 0.9×	32	579
Arun Kommadath Canada	15	263 0.6×	128 0.6×	180 1.0×	89 1.1×	99 2.1×	29	557
Fanming Meng China	15	198 0.5×	89 0.4×	221 1.3×	47 0.6×	27 0.6×	61	586
Dejun Ji China	15	251 0.6×	188 0.9×	180 1.0×	126 1.6×	78 1.6×	59	627
Cunyuan Li China	13	278 0.7×	215 1.1×	117 0.7×	56 0.7×	37 0.8×	30	414
T. G. McDaneld United States	18	291 0.7×	304 1.5×	527 3.1×	184 2.3×	120 2.5×	40	956
Zhongyin Zhou China	10	551 1.4×	467 2.3×	148 0.9×	18 0.2×	25 0.5×	18	776
Jinxue Ruan China	16	619 1.5×	36 0.2×	295 1.7×	39 0.5×	45 0.9×	36	811

Countries citing papers authored by Shengwei Hu

Since Specialization

Citations

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

Fields of papers citing papers by Shengwei Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengwei Hu

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

Li, Cunyuan, Xiaoyue Li, Jingya Xu, et al.. (2025). Multiomic analysis of different horse breeds reveals that gut microbial butyrate enhances racehorse athletic performance. npj Biofilms and Microbiomes. 11(1). 87–87. 1 indexed citations

Li, Cunyuan, Jinming Yu, Yue Wang, et al.. (2024). Efficacy of H2O2 inactivated bovine virus diarrhoea virus (BVDV) type 1 vaccine in mice. BMC Veterinary Research. 20(1). 43–43. 4 indexed citations

Chen, Shengnan, Qing Zhang, Yuanbao Du, et al.. (2023). Emerging non-native amphibians require immediate prevention management in a megacity of South China. BioInvasions Records. 12(3). 731–744. 1 indexed citations

Li, Fulin, Yi‐Fan Chen, Jiawei Li, et al.. (2023). AnimalMetaOmics: a multi-omics data resources for exploring animal microbial genomes and microbiomes. Nucleic Acids Research. 52(D1). D690–D700. 3 indexed citations

Li, Cunyuan, Ping Zhou, Limin Wang, et al.. (2022). CRAMdb: a comprehensive database for composition and roles of microbiome in animals. Nucleic Acids Research. 51(D1). D700–D707. 9 indexed citations

Wang, Tiantian, Huifang Xu, Peng Sun, et al.. (2022). Kappa-RBD produced by glycoengineered Pichia pastoris elicited high neutralizing antibody titers against pseudoviruses of SARS-CoV-2 variants. Virology. 569. 56–63. 8 indexed citations

Li, Yaxin, Tao Guo, Xiaokui Wang, et al.. (2021). ITRAQ-based quantitative proteomics reveals the proteome profiles of MDBK cells infected with bovine viral diarrhea virus. Virology Journal. 18(1). 119–119. 6 indexed citations

Guo, Tao, Lei Li, Yue Wang, et al.. (2021). Analysis of the eighth intron polymorphism of NR6A1 gene in sheep and its correlation with lumbar spine number. Animal Biotechnology. 34(2). 218–224. 8 indexed citations

Yao, Rui, Lang Wang, Dawei Wang, et al.. (2021). CRISPR-Cas13a-Based Detection for Bovine Viral Diarrhea Virus. Frontiers in Veterinary Science. 8. 603919–603919. 14 indexed citations

10.

Li, Cunyuan, Xiaoyue Li, Wei Ni, et al.. (2020). Identification and Profiling of Pituitary microRNAs of Sheep during Anestrus and Estrus Stages. Animals. 10(3). 402–402. 9 indexed citations

11.

Li, Xiaoyue, Cunyuan Li, Rui Yao, et al.. (2020). Analysis of pituitary transcriptomics indicates that lncRNAs are involved in the regulation of sheep estrus. Functional & Integrative Genomics. 20(4). 563–573. 12 indexed citations

12.

Li, Xiaoyue, Cunyuan Li, Wei Ni, et al.. (2019). Comprehensive Expression Profiling Analysis of Pituitary Indicates that circRNA Participates in the Regulation of Sheep Estrus. Genes. 10(2). 90–90. 22 indexed citations

13.

Yao, Rui, Cunyuan Li, Xiaoyue Li, et al.. (2019). Circ-HIPK3 plays an active role in regulating myoblast differentiation. International Journal of Biological Macromolecules. 155. 1432–1439. 12 indexed citations

14.

Li, Xiaoyue, Cunyuan Li, Wureli Hazi, et al.. (2019). Screening and evaluating of long non-coding RNAs in prenatal and postnatal pituitary gland of sheep. Genomics. 112(1). 934–942. 7 indexed citations

15.

Li, Xiaoyue, Cunyuan Li, Wei Ni, et al.. (2018). Identification and comparison of microRNAs in pituitary gland during prenatal and postnatal stages of sheep by deep sequencing. Journal of Genetics. 97(4). 965–975. 6 indexed citations

16.

Li, Cunyuan, Xiaoyue Li, Wei Ni, et al.. (2018). Expression profiles of microRNAs in skeletal muscle of sheep by deep sequencing. Asian-Australasian Journal of Animal Sciences. 32(6). 757–766. 19 indexed citations

17.

Li, Cunyuan, Xiaoyue Li, Wei Ni, et al.. (2018). Identification and characterization of long non-coding RNA in prenatal and postnatal skeletal muscle of sheep. Genomics. 111(2). 133–141. 16 indexed citations

18.

Fu, Qiang, Guozhong Li, Yan Ren, et al.. (2015). Roles of p53 and ASF1A in the Reprogramming of Sheep Kidney Cells to Pluripotent Cells. Cellular Reprogramming. 17(6). 441–452. 7 indexed citations

19.

Hu, Shengwei, Wei Ni, Jun Qiao, et al.. (2013). Knockdown of Myostatin Expression by RNAi Enhances Muscle Growth in Transgenic Sheep. PLoS ONE. 8(3). e58521–e58521. 42 indexed citations

20.

Hu, Shengwei, Wei Ni, Wureli Hazi, et al.. (2011). Cloning and Functional Analysis of Sheep U6 Promoters. Animal Biotechnology. 22(3). 170–174. 6 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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