Shanhe Wang

814 total citations
54 papers, 526 citations indexed

About

Shanhe Wang is a scholar working on Molecular Biology, Urology and Cell Biology. According to data from OpenAlex, Shanhe Wang has authored 54 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 21 papers in Urology and 18 papers in Cell Biology. Recurrent topics in Shanhe Wang's work include Hair Growth and Disorders (21 papers), Cancer-related molecular mechanisms research (14 papers) and melanin and skin pigmentation (9 papers). Shanhe Wang is often cited by papers focused on Hair Growth and Disorders (21 papers), Cancer-related molecular mechanisms research (14 papers) and melanin and skin pigmentation (9 papers). Shanhe Wang collaborates with scholars based in China, Australia and United States. Shanhe Wang's co-authors include Xin Wang, Wei Ge, Xiaoyang Lv, Wei Sun, Lei Qu, Zehu Yuan, Xiukai Cao, Weihao Chen, Zhixin Luo and Tesfaye Getachew and has published in prestigious journals such as International Journal of Molecular Sciences, Applied Microbiology and Biotechnology and Gene.

In The Last Decade

Shanhe Wang

51 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shanhe Wang China 14 267 249 182 130 112 54 526
Zhiyun Hao China 15 206 0.8× 264 1.1× 111 0.6× 101 0.8× 102 0.9× 46 470
Mei Jin China 13 91 0.3× 222 0.9× 56 0.3× 161 1.2× 84 0.8× 34 487
Yiqiang Zhao China 12 51 0.2× 165 0.7× 54 0.3× 95 0.7× 31 0.3× 28 369
Hegang Li China 10 67 0.3× 183 0.7× 51 0.3× 100 0.8× 37 0.3× 30 366
Liang Deng China 11 108 0.4× 132 0.5× 49 0.3× 42 0.3× 31 0.3× 40 371
Chune Niu China 12 120 0.4× 104 0.4× 42 0.2× 175 1.3× 27 0.2× 18 301
Shouzhi Wang China 14 117 0.4× 226 0.9× 26 0.1× 324 2.5× 38 0.3× 39 625
Enguang Rong China 9 42 0.2× 112 0.4× 40 0.2× 120 0.9× 32 0.3× 20 292
Anne Vaiman France 12 89 0.3× 212 0.9× 10 0.1× 138 1.1× 32 0.3× 20 365
Carine Kolly Switzerland 8 22 0.1× 153 0.6× 15 0.1× 34 0.3× 87 0.8× 17 390

Countries citing papers authored by Shanhe Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shanhe Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanhe Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shanhe Wang. A scholar is included among the top collaborators of Shanhe Wang 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 Shanhe Wang. Shanhe Wang 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.
2.
Lv, Xiaoyang, Hui Zhou, Shanhe Wang, et al.. (2024). SP1 and KROX20 Regulate the Proliferation of Dermal Papilla Cells and Target the CUX1 Gene. Animals. 14(3). 429–429. 1 indexed citations
3.
Li, Xiaoyu, Shanhe Wang, Yajun Cheng, et al.. (2024). Bibliometric analysis of the inflammation expression after spinal cord injury: current research status and emerging frontiers. Spinal Cord. 62(11). 609–618. 5 indexed citations
4.
Wang, Shanhe, Xiukai Cao, Tesfaye Getachew, et al.. (2024). FecB Was Associated with Litter Size and Follows Mendel’s Laws of Inheritance When It Transited to Next Generation in Suhu Meat Sheep Breeding Population. Genes. 15(3). 260–260. 2 indexed citations
5.
Duan, Yanjun, Xiaoyang Lv, Xiukai Cao, et al.. (2024). A Study of the Resistance of Hu Sheep Lambs to Escherichia coli F17 Based on Whole Genome Sequencing. Animals. 14(1). 161–161. 1 indexed citations
6.
Chen, Weihao, Xiaoyang Lv, Xiukai Cao, et al.. (2023). Integration of the Microbiome, Metabolome and Transcriptome Reveals Escherichia coli F17 Susceptibility of Sheep. Animals. 13(6). 1050–1050. 2 indexed citations
7.
Lv, Xiaoyang, Yue Li, Weihao Chen, et al.. (2023). Association between DNA Methylation in the Core Promoter Region of the CUT-like Homeobox 1 (CUX1) Gene and Lambskin Pattern in Hu Sheep. Genes. 14(10). 1873–1873. 1 indexed citations
8.
Zhou, Hui, Xiaoyang Lv, Shanhe Wang, et al.. (2023). Effect of CUX1 on the Proliferation of Hu Sheep Dermal Papilla Cells and on the Wnt/β-Catenin Signaling Pathway. Genes. 14(2). 423–423. 6 indexed citations
9.
Wang, Shanhe, Xiukai Cao, Zehu Yuan, et al.. (2023). Defining ovine dermal papilla cell markers and identifying key signaling pathways regulating its intrinsic properties. Frontiers in Veterinary Science. 10. 1127501–1127501. 5 indexed citations
10.
Chen, Weihao, Xinyu Gu, Xiaoyang Lv, et al.. (2022). Non-coding transcriptomic profiles in the sheep mammary gland during different lactation periods. Frontiers in Veterinary Science. 9. 983562–983562. 6 indexed citations
11.
Lv, Xiaoyang, Shanhe Wang, Tesfaye Getachew, et al.. (2021). miR-143 Targeting CUX1 to Regulate Proliferation of Dermal Papilla Cells in Hu Sheep. Genes. 12(12). 2017–2017. 12 indexed citations
12.
Ge, Wei, Weidong Zhang, Yujie Zheng, et al.. (2021). A Single-Cell Transcriptome Atlas of Cashmere Goat Hair Follicle Morphogenesis. Genomics Proteomics & Bioinformatics. 19(3). 437–451. 40 indexed citations
13.
Yuan, Zehu, Ling Ge, Jingyi Sun, et al.. (2021). Integrative analysis of Iso-Seq and RNA-seq data reveals transcriptome complexity and differentially expressed transcripts in sheep tail fat. PeerJ. 9. e12454–e12454. 19 indexed citations
14.
Wang, Shanhe, Tianyi Wu, Jingyi Sun, et al.. (2021). Single-Cell Transcriptomics Reveals the Molecular Anatomy of Sheep Hair Follicle Heterogeneity and Wool Curvature. Frontiers in Cell and Developmental Biology. 9. 800157–800157. 14 indexed citations
15.
Ge, Ling, Zehu Yuan, Weihao Chen, et al.. (2021). Sheep β-Defensin 2 Regulates Escherichia coli F17 Resistance via NF-κB and MAPK Signaling Pathways in Ovine Intestinal Epithelial Cells. Biology. 10(12). 1356–1356. 2 indexed citations
16.
Wang, Tianci, et al.. (2020). Chi-miR-30b-5p inhibits dermal papilla cells proliferation by targeting CaMKIIδ gene in cashmere goat. BMC Genomics. 21(1). 430–430. 17 indexed citations
17.
Chen, Weihao, Xiaoyang Lv, Yue Wang, et al.. (2020). Transcriptional Profiles of Long Non-coding RNA and mRNA in Sheep Mammary Gland During Lactation Period. Frontiers in Genetics. 11. 946–946. 7 indexed citations
18.
19.
Yang, Bing, Wei Ge, Xiaolan Zhang, et al.. (2018). Transcriptome sequencing to detect the potential role of long non-coding RNAs in bovine mammary gland during the dry and lactation period. BMC Genomics. 19(1). 605–605. 39 indexed citations
20.
Wang, Shanhe, Wei Ge, Zhixin Luo, et al.. (2017). Integrated analysis of coding genes and non-coding RNAs during hair follicle cycle of cashmere goat (Capra hircus). BMC Genomics. 18(1). 767–767. 79 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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