Weimin Shi

570 total citations
25 papers, 437 citations indexed

About

Weimin Shi is a scholar working on Cell Biology, Molecular Biology and Dermatology. According to data from OpenAlex, Weimin Shi has authored 25 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cell Biology, 6 papers in Molecular Biology and 5 papers in Dermatology. Recurrent topics in Weimin Shi's work include melanin and skin pigmentation (6 papers), Skin Protection and Aging (5 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Weimin Shi is often cited by papers focused on melanin and skin pigmentation (6 papers), Skin Protection and Aging (5 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Weimin Shi collaborates with scholars based in China, United States and Japan. Weimin Shi's co-authors include Zhouwei Wu, Jianqiang Li, Zhanhui Wang, Xingyu Mei, Saori Morino‐Koga, Hiroshi Uchi, Masutaka Furue, Jianzhong Shen, Huiyan Zhang and Suxia Zhang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Sensors.

In The Last Decade

Weimin Shi

24 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weimin Shi China 11 205 67 51 48 39 25 437
Fang Shan China 11 192 0.9× 55 0.8× 176 3.5× 103 2.1× 18 0.5× 43 913
Xue Mei Li China 11 127 0.6× 21 0.3× 39 0.8× 11 0.2× 23 0.6× 38 380
Masaya Ohta Japan 14 223 1.1× 26 0.4× 95 1.9× 19 0.4× 14 0.4× 56 737
Yixi Yang China 12 124 0.6× 17 0.3× 135 2.6× 52 1.1× 19 0.5× 46 527
Tao Hu China 12 191 0.9× 43 0.6× 16 0.3× 33 0.7× 8 0.2× 35 509
Byeong Soo Kim South Korea 8 95 0.5× 19 0.3× 24 0.5× 32 0.7× 46 1.2× 36 348
Fan Chen China 15 243 1.2× 54 0.8× 60 1.2× 23 0.5× 9 0.2× 32 583
Yuan Qu China 13 121 0.6× 15 0.2× 36 0.7× 27 0.6× 17 0.4× 32 393
Ting Weng China 13 287 1.4× 61 0.9× 141 2.8× 136 2.8× 138 3.5× 39 834

Countries citing papers authored by Weimin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Weimin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weimin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Weimin Shi. A scholar is included among the top collaborators of Weimin Shi 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 Weimin Shi. Weimin Shi 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.
Ru, Xin, et al.. (2024). Fast Automatic Fuzzy C-Means Knitting Pattern Color-Separation Algorithm Based on Superpixels. Sensors. 24(1). 281–281. 1 indexed citations
2.
Zhang, Wei, et al.. (2024). In vitro inhibition of α-Synuclein aggregation and disaggregation of preformed fibers by polyphenol hybrids with 2-conjugated benzothiazole. Bioorganic & Medicinal Chemistry Letters. 105. 129752–129752. 1 indexed citations
3.
Dai, Ning, et al.. (2023). Prediction of Cotton Yarn Quality Based on Attention-GRU. Applied Sciences. 13(18). 10003–10003. 4 indexed citations
4.
Mei, Xingyu, et al.. (2023). Kaempferol promotes melanogenesis and reduces oxidative stress in PIG1 normal human skin melanocytes. Journal of Cellular and Molecular Medicine. 27(7). 982–990. 15 indexed citations
5.
Xu, Ziqian, et al.. (2022). A Necroptosis-Related Gene Signature to Predict the Prognosis of Skin Cutaneous Melanoma. Disease Markers. 2022. 1–18. 1 indexed citations
6.
Shi, Weimin, et al.. (2022). Biological function and application of melanocytes induced and transformed by mouse bone marrow mesenchymal stem cells. Regenerative Therapy. 21. 148–156. 3 indexed citations
7.
Li, Jianqiang, et al.. (2021). Fabric wrinkle evaluation model with regularized extreme learning machine based on improved Harris Hawks optimization. Journal of the Textile Institute. 113(2). 199–211. 16 indexed citations
8.
Li, Jianqiang, et al.. (2021). Clothing Image Classification with a Dragonfly Algorithm Optimised Online Sequential Extreme Learning Machine. Fibres and Textiles in Eastern Europe. 29(3(147)). 91–96. 13 indexed citations
9.
Huang, Juntao, Xingyu Mei, Jun S. Song, et al.. (2021). Ferroptosis-Related Gene Signature Predicts the Prognosis of Skin Cutaneous Melanoma and Response to Immunotherapy. Frontiers in Genetics. 12. 758981–758981. 25 indexed citations
10.
Wang, Xin, Rui Ma, Xilin Zhang, et al.. (2021). Crosstalk between N6-methyladenosine modification and circular RNAs: current understanding and future directions. Molecular Cancer. 20(1). 121–121. 73 indexed citations
11.
Mei, Xingyu, et al.. (2020). Reciprocal regulation of interleukin‑17A and interleukin‑22 secretion through aryl hydrocarbon receptor activation in CD4+ T cells of patients with vitiligo. Experimental and Therapeutic Medicine. 21(2). 158–158. 9 indexed citations
12.
Li, Jianqiang, et al.. (2020). Investigation on experiment and simulation of the grinding process of cast iron. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 234(13). 2653–2661. 3 indexed citations
13.
Mei, Xingyu, Zhouwei Wu, Jie Huang, Yue Sun, & Weimin Shi. (2019). Screening and analysis of differentially expressed genes of human melanocytes in skin cells mixed culture.. PubMed. 11(5). 2657–2667. 5 indexed citations
14.
Mei, Xingyu, Zhouwei Wu, Cheng‐Zhong Zhang, Yue Sun, & Weimin Shi. (2019). A preliminary study of markers for human hair follicle melanin stem cell. Chinese Medical Journal. 132(9). 1117–1119. 1 indexed citations
16.
Mei, Xingyu, Yue Sun, Zhouwei Wu, et al.. (2015). In vitro‐induced differentiation of bone marrow mesenchymal stem cells into melanocytes. Cell Biology International. 39(7). 824–833. 10 indexed citations
17.
Wang, Zhanhui, Tiejun Mi, Ross C. Beier, et al.. (2014). Hapten synthesis, monoclonal antibody production and development of a competitive indirect enzyme-linked immunosorbent assay for erythromycin in milk. Food Chemistry. 171. 98–107. 69 indexed citations
18.
Wu, Zhouwei, Hiroshi Uchi, Saori Morino‐Koga, Weimin Shi, & Masutaka Furue. (2014). Resveratrol inhibition of human keratinocyte proliferation via SIRT1/ARNT/ERK dependent downregulation of aquaporin 3. Journal of Dermatological Science. 75(1). 16–23. 65 indexed citations
19.
Jiang, Wenxiao, Huiyan Zhang, Xiangmei Li, et al.. (2013). Monoclonal Antibody Production and the Development of an Indirect Competitive Enzyme-Linked Immunosorbent Assay for Screening Spiramycin in Milk. Journal of Agricultural and Food Chemistry. 61(46). 10925–10931. 23 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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