Sha Yan

801 total citations
19 papers, 445 citations indexed

About

Sha Yan is a scholar working on Molecular Biology, Dermatology and Immunology. According to data from OpenAlex, Sha Yan has authored 19 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Dermatology and 4 papers in Immunology. Recurrent topics in Sha Yan's work include Acne and Rosacea Treatments and Effects (4 papers), Mesenchymal stem cell research (3 papers) and Immunotherapy and Immune Responses (3 papers). Sha Yan is often cited by papers focused on Acne and Rosacea Treatments and Effects (4 papers), Mesenchymal stem cell research (3 papers) and Immunotherapy and Immune Responses (3 papers). Sha Yan collaborates with scholars based in China and United States. Sha Yan's co-authors include Liu Yang, Xiaobei Yang, Jiang‐Miao Hu, Jingyue Xu, Jinyu Li, Jun Zhou, Fu‐Cai Ren, Ji Li, Zhaoyuan Liu and Zhenyao Xu and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Sha Yan

19 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sha Yan China 10 181 79 78 76 69 19 445
Zengyang Yu China 15 255 1.4× 130 1.6× 178 2.3× 86 1.1× 52 0.8× 25 671
Zachary R. Healy United States 9 328 1.8× 61 0.8× 91 1.2× 36 0.5× 67 1.0× 17 567
Shuya Zhang China 12 304 1.7× 29 0.4× 84 1.1× 39 0.5× 62 0.9× 21 594
Si Jun Park South Korea 12 203 1.1× 29 0.4× 65 0.8× 20 0.3× 59 0.9× 23 434
Zhouwei Wu China 13 320 1.8× 33 0.4× 134 1.7× 46 0.6× 165 2.4× 38 597
Md Ansarullah India 14 299 1.7× 27 0.3× 97 1.2× 40 0.5× 53 0.8× 18 709
Paul Gomez United States 13 310 1.7× 100 1.3× 78 1.0× 13 0.2× 85 1.2× 20 594
Natsuko Kageyama‐Yahara Japan 14 218 1.2× 30 0.4× 139 1.8× 23 0.3× 38 0.6× 22 520
Kayo Horie Japan 15 170 0.9× 26 0.3× 27 0.3× 66 0.9× 39 0.6× 38 475
Rui Kang United States 7 353 2.0× 39 0.5× 90 1.2× 30 0.4× 100 1.4× 10 660

Countries citing papers authored by Sha Yan

Since Specialization
Citations

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

Fields of papers citing papers by Sha Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sha Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Sha Yan. A scholar is included among the top collaborators of Sha Yan 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 Sha Yan. Sha Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Zhang, Jing, Shuqin Jiang, Wen Li, et al.. (2025). Diagnostic performance of [18F]FAPI-04 PET/CT in suspected recurrent hepatocellular carcinoma: prospective comparison with contrast-enhanced CT/MRI. European Journal of Nuclear Medicine and Molecular Imaging. 52(11). 3951–3962. 2 indexed citations
2.
Fu, Yuping, et al.. (2025). Appraising histone H4 lysine 5 lactylation as a novel biomarker in breast cancer. Scientific Reports. 15(1). 8205–8205. 3 indexed citations
3.
Wang, Chunxia, et al.. (2023). Screening and verification of genes related to polycystic ovary syndrome. Journal of International Medical Research. 51(1). 3629208372–3629208372. 3 indexed citations
4.
Mao, Rui, Fan Wang, Lei Zhou, et al.. (2022). Identification of Four Biomarkers of Human Skin Aging by Comprehensive Single Cell Transcriptome, Transcriptome, and Proteomics. Frontiers in Genetics. 13. 881051–881051. 9 indexed citations
5.
Wang, Ben, Peiyao Li, Sha Yan, et al.. (2021). Efficacy and safety of non-insulated fractional microneedle radiofrequency for treating difficult-to-treat rosacea: a 48-week, prospective, observational study. Archives of Dermatological Research. 314(7). 643–650. 7 indexed citations
6.
Zhang, Yiya, Yangfan Li, Yaling Wang, et al.. (2021). Bioinformatics and Network Pharmacology Identify the Therapeutic Role and Potential Mechanism of Melatonin in AD and Rosacea. Frontiers in Immunology. 12. 756550–756550. 55 indexed citations
7.
Xie, Hongfu, Liang Zhou, Jennifer Long, et al.. (2021). Autophagy induction regulates aquaporin 3‐mediated skin fibroblast ageing*. British Journal of Dermatology. 186(2). 318–333. 24 indexed citations
8.
Deng, Zhili, Sha Yan, Ji Li, et al.. (2021). The association between rosacea and the condition of low tolerance to skincare of the facial skin: a case‐control study in China. Journal of Cosmetic Dermatology. 21(3). 1171–1177. 3 indexed citations
10.
Li, Jinyu, Xiaobei Yang, Liu Yang, et al.. (2020). Structural characterization and hypoglycemic effect via stimulating glucagon-like peptide-1 secretion of two polysaccharides from Dendrobium officinale. Carbohydrate Polymers. 241. 116326–116326. 119 indexed citations
11.
Wang, Ben, Sha Yan, Yingxue Huang, et al.. (2020). Purified Vitexin Compound 1 Inhibits UVA-Induced Cellular Senescence in Human Dermal Fibroblasts by Binding Mitogen-Activated Protein Kinase 1. Frontiers in Cell and Developmental Biology. 8. 691–691. 4 indexed citations
12.
Liu, Yu-Chun, et al.. (2020). Aberrant Expression of Cancer-Testis Antigen FBXO39 in Breast Cancer and its Clinical Significance. Clinical Laboratory. 66(09/2020). 6 indexed citations
13.
Ma, Yanqing, et al.. (2020). Circular RNA profiling facilitates the diagnosis and prognostic monitoring of breast cancer: A pair‐wise meta‐analysis. Journal of Clinical Laboratory Analysis. 35(1). e23575–e23575. 8 indexed citations
14.
Li, Yongwei, et al.. (2017). Diagnostic and prognostic utilities of humoral fibulin-3 in malignant pleural mesothelioma: Evidence from a meta-analysis. Oncotarget. 8(8). 13030–13038. 31 indexed citations
15.
Fang, Ke, Lingyun Zhang, Zhaoyuan Liu, et al.. (2016). Soluble Tumor Necrosis Factor Receptor 1 Released by Skin-Derived Mesenchymal Stem Cells Is Critical for Inhibiting Th17 Cell Differentiation. Stem Cells Translational Medicine. 5(3). 301–313. 29 indexed citations
16.
Zhang, Lingyun, Ke Fang, Zhaoyuan Liu, et al.. (2015). MicroRNA-31 negatively regulates peripherally derived regulatory T-cell generation by repressing retinoic acid-inducible protein 3. Nature Communications. 6(1). 7639–7639. 76 indexed citations
17.
Liu, Jinlin, Ke Fang, Zhenyao Xu, et al.. (2014). CCR6 Is a Prognostic Marker for Overall Survival in Patients with Colorectal Cancer, and Its Overexpression Enhances Metastasis In Vivo. PLoS ONE. 9(6). e101137–e101137. 27 indexed citations
18.
Yang, Zhi-Xue, Shaoguang Yang, Sha Yan, et al.. (2014). Long-term cultured mesenchymal stem cells frequently develop genomic mutations but do not undergo malignant transformation. Cytotherapy. 16(4). S75–S76. 10 indexed citations
19.
Zhang, Lingyun, Zhaoyuan Liu, Jinlin Liu, et al.. (2014). Autocrine Interleukin-6 Drives Skin-Derived Mesenchymal Stem Cell Trafficking via Regulating Voltage-Gated Ca2+ Channels. Stem Cells. 32(10). 2799–2810. 20 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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