Wenping Hu

1.6k total citations
57 papers, 1.0k citations indexed

About

Wenping Hu is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Wenping Hu has authored 57 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Genetics, 21 papers in Molecular Biology and 17 papers in Cancer Research. Recurrent topics in Wenping Hu's work include Genetic and phenotypic traits in livestock (26 papers), Cancer-related molecular mechanisms research (15 papers) and Reproductive Physiology in Livestock (12 papers). Wenping Hu is often cited by papers focused on Genetic and phenotypic traits in livestock (26 papers), Cancer-related molecular mechanisms research (15 papers) and Reproductive Physiology in Livestock (12 papers). Wenping Hu collaborates with scholars based in China, United States and Ireland. Wenping Hu's co-authors include Ran Di, Qiuyue Liu, Mingxing Chu, Xiaosheng Zhang, Lele Li, Zhixiang Li, Yulei Shao, Xiaoyun He, Jian Zhao and Jishun Tang and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Wenping Hu

57 papers receiving 995 citations

Peers

Wenping Hu

GENET

ACS

PHEOH

Brett R. White United States

Lixian Wang China

Dominic Gagné Canada

Shashi Anand India

L Hall United Kingdom

Zhixin Chai China

Masanori KOMATSU Japan

Jianhua Cao China

Michael Byers United States

Hesheng Jiang China

Brett R. White United States

Wenping Hu

482 ×1.0

269 ×0.6

GENET

209 ×0.7

55 ×0.4

ACS

94 ×0.7

PHEOH

Citations per year, relative to Wenping Hu Wenping Hu (= 1×) peers Brett R. White

Countries citing papers authored by Wenping Hu

Since Specialization

Citations

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

Fields of papers citing papers by Wenping Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenping Hu

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

Yang, Jianqi, Jishun Tang, Xiaoyun He, et al.. (2024). Key mRNAs and lncRNAs of pituitary that affect the reproduction of FecB + + small tail han sheep. BMC Genomics. 25(1). 392–392. 1 indexed citations

Wang, Xinyue, et al.. (2023). Multi-Omics Analysis Reveals the Potential Effects of Maternal Dietary Restriction on Fetal Muscle Growth and Development. Nutrients. 15(4). 1051–1051. 1 indexed citations

Hu, Wenping, et al.. (2023). The Molecular Mechanism of the TEAD1 Gene and miR-410-5p Affect Embryonic Skeletal Muscle Development: A miRNA-Mediated ceRNA Network Analysis. Cells. 12(6). 943–943. 7 indexed citations

Yang, Jianqi, Jishun Tang, Xiaoyun He, et al.. (2023). Comparative Transcriptomics Identify Key Pituitary Circular RNAs That Participate in Sheep (Ovis aries) Reproduction. Animals. 13(17). 2711–2711. 3 indexed citations

Liu, Tianyi, et al.. (2023). Single nucleotide polymorphisms in the CDH18 gene affect growth traits in Hu sheep. SHILAP Revista de lepidopterología. 2 indexed citations

Wang, Xinyue, et al.. (2022). Polymorphism, Expression, and Structure Analysis of a Key Gene ARNT in Sheep (Ovis aries). Biology. 11(12). 1795–1795. 1 indexed citations

Wang, Xiangyu, Xiaofei Guo, Xiaoyun He, et al.. (2021). Effects of FecB Mutation on Estrus, Ovulation, and Endocrine Characteristics in Small Tail Han Sheep. Frontiers in Veterinary Science. 8. 709737–709737. 27 indexed citations

Hu, Wenping, Xinlong Dong, Zhuangbiao Zhang, et al.. (2021). Expression, structure and function analysis of the sperm-oocyte fusion genes Juno and Izumo1 in sheep (Ovis aries). Journal of Animal Science and Biotechnology. 12(1). 37–37. 7 indexed citations

Hu, Wenping, Qiuyue Liu, Jishun Tang, et al.. (2021). Polymorphism, expression and structure analysis of key genes in the ovarian steroidogenesis pathway in sheep ( Ovis aries ). Veterinary Medicine and Science. 7(4). 1303–1315. 7 indexed citations

10.

Li, Chunyan, Qiuyue Liu, Xiangyu Wang, et al.. (2020). Expression and localization of PIWI proteins in testis and ovary of domestic sheep. Czech Journal of Animal Science. 65(3). 86–96. 6 indexed citations

11.

Hu, Wenping, et al.. (2020). Identification and Comparative Analysis of Long Non-Coding RNA in the Skeletal Muscle of Two Dezhou Donkey Strains. Genes. 11(5). 508–508. 21 indexed citations

12.

Zhou, Qiang, Wenquan Zhu, Wenbin Chen, et al.. (2020). Formation of formaldehyde as an artifact peak in head space GC analysis resulting from decomposition of sample diluent DMSO: A GC-MS investigation with deuterated DMSO. Journal of Pharmaceutical and Biomedical Analysis. 188. 113361–113361. 8 indexed citations

13.

Hu, Wenping, Jishun Tang, Zhuangbiao Zhang, et al.. (2020). Polymorphisms in the ASMT and ADAMTS1 gene may increase litter size in goats. Veterinary Medicine and Science. 6(4). 775–787. 8 indexed citations

14.

Zhang, Zhuangbiao, Qiuyue Liu, Ran Di, et al.. (2019). Single nucleotide polymorphisms in BMP2 and BMP7 and the association with litter size in Small Tail Han sheep. Animal Reproduction Science. 204. 183–192. 22 indexed citations

15.

Tang, Jishun, Wenping Hu, Ran Di, et al.. (2019). The genetic mechanism of high prolificacy in small tail han sheep by comparative proteomics of ovaries in the follicular and luteal stages. Journal of Proteomics. 204. 103394–103394. 27 indexed citations

16.

Pan, Zhangyuan, Shengdi Li, Qiuyue Liu, et al.. (2019). Rapid evolution of a retro-transposable hotspot of ovine genome underlies the alteration of BMP2 expression and development of fat tails. BMC Genomics. 20(1). 261–261. 32 indexed citations

17.

Zhang, Zhuangbiao, Jishun Tang, Ran Di, et al.. (2019). Identification of Prolificacy‐Related Differentially Expressed Proteins from Sheep (Ovis aries) Hypothalamus by Comparative Proteomics. PROTEOMICS. 19(14). e1900118–e1900118. 12 indexed citations

18.

Guo, Xiaofei, Wenping Hu, Qiuling Li, et al.. (2017). Two single nucleotide polymorphisms sites in α1-AT gene and their association with somatic cell score in Chinese Holstein cows. SHILAP Revista de lepidopterología. 24(1). 8–8. 4 indexed citations

19.

Schook, Lawrence B., Tiago Collares, Wenping Hu, et al.. (2015). A Genetic Porcine Model of Cancer. PLoS ONE. 10(7). e0128864–e0128864. 116 indexed citations

20.

Li, Qiuling, Wenping Hu, Jie Zhao, et al.. (2014). Supplementation transgenic cow’s milk containing recombinant human lactoferrin enhances systematic and intestinal immune responses in piglets. Molecular Biology Reports. 41(4). 2119–2128. 27 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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