Weiqun Yan

1.8k total citations
57 papers, 1.5k citations indexed

About

Weiqun Yan is a scholar working on Molecular Biology, Rheumatology and Oncology. According to data from OpenAlex, Weiqun Yan has authored 57 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 13 papers in Rheumatology and 8 papers in Oncology. Recurrent topics in Weiqun Yan's work include Osteoarthritis Treatment and Mechanisms (13 papers), Cell Adhesion Molecules Research (7 papers) and Proteoglycans and glycosaminoglycans research (6 papers). Weiqun Yan is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (13 papers), Cell Adhesion Molecules Research (7 papers) and Proteoglycans and glycosaminoglycans research (6 papers). Weiqun Yan collaborates with scholars based in China, Japan and United States. Weiqun Yan's co-authors include Yukio Kato, Takeshi Kawamoto, Mitsuhide Noshiro, Ming Shen, Seicho Makihira, Yasunori Okada, Kazuko Nakamasu, Jie Ma, Ping Jiao and Katsumi Fujimoto and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Journal of Cell Science.

In The Last Decade

Weiqun Yan

55 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiqun Yan China 19 667 305 263 257 194 57 1.5k
Shun‐Fu Chang Taiwan 21 678 1.0× 208 0.7× 119 0.5× 227 0.9× 143 0.7× 69 1.4k
Vanessa M. Freitas Brazil 21 594 0.9× 316 1.0× 106 0.4× 198 0.8× 187 1.0× 59 1.4k
Mehmet Gündüz Japan 24 942 1.4× 295 1.0× 118 0.4× 287 1.1× 225 1.2× 95 1.7k
Guozhi Xiao United States 25 831 1.2× 156 0.5× 178 0.7× 279 1.1× 132 0.7× 29 1.5k
Kotaro Sugimoto Japan 23 962 1.4× 321 1.1× 108 0.4× 249 1.0× 177 0.9× 54 2.1k
Karen L. Posey United States 20 612 0.9× 173 0.6× 408 1.6× 137 0.5× 85 0.4× 37 1.1k
Roger Rezzonico France 28 814 1.2× 426 1.4× 176 0.7× 217 0.8× 70 0.4× 44 1.8k
Michele Scuruchi Italy 21 435 0.7× 176 0.6× 215 0.8× 350 1.4× 152 0.8× 54 1.1k
Arkadiusz Nawrocki Denmark 20 593 0.9× 233 0.8× 114 0.4× 104 0.4× 352 1.8× 41 1.6k
Yuan‐Li Huang Taiwan 30 1.1k 1.7× 548 1.8× 231 0.9× 160 0.6× 116 0.6× 87 2.1k

Countries citing papers authored by Weiqun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Weiqun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiqun Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Weiqun Yan. A scholar is included among the top collaborators of Weiqun 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 Weiqun Yan. Weiqun Yan 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.
Wan, Hui, et al.. (2025). MIF/CD74 axis in hepatic stellate cells mediates HBV-related liver fibrosis. International Immunopharmacology. 147. 113929–113929. 1 indexed citations
2.
Yan, Weiqun, et al.. (2022). The mononuclear phagocyte system in hepatocellular carcinoma. World Journal of Gastroenterology. 28(45). 6345–6355. 4 indexed citations
3.
Tian, Geer, et al.. (2021). Therapeutic Antitumor Efficacy of Cancer Stem Cell-Derived DRibble Vaccine on Colorectal Carcinoma. International Journal of Medical Sciences. 18(14). 3249–3260. 9 indexed citations
4.
Meng, Heyu, et al.. (2017). Role of Rock 1 protein in non-small cell lung cancer. Biomedical Research-tokyo. 28(6). 2530–2534. 3 indexed citations
5.
Tao, Ran, Zhongfeng Wang, Wei Qiu, et al.. (2017). Role of S100A3 in human hepatocellular carcinoma and the anticancer effect of sodium cantharidinate. Experimental and Therapeutic Medicine. 13(6). 2812–2818. 22 indexed citations
6.
Tao, Ran, Wenyi Sun, Dehai Yu, et al.. (2017). Sodium cantharidinate induces HepG2 cell apoptosis through LC3 autophagy pathway. Oncology Reports. 38(2). 1233–1239. 18 indexed citations
7.
Ye, Qiao, et al.. (2016). High yields and soluble expression of superoxide dismutases in Escherichia coli due to the HIV-1 Tat peptide via increases in mRNA transcription. Experimental & Molecular Medicine. 48(10). e264–e264. 4 indexed citations
8.
Mu, Xupeng, et al.. (2015). Protection against influenza A virus by vaccination with a recombinant fusion protein linking influenza M2e to human serum albumin (HSA). Journal of Virological Methods. 228. 84–90. 7 indexed citations
9.
Luo, Hong, et al.. (2014). Analysis of Indoleamine 2-3 Dioxygenase (IDO) and EGFR Co-expression in Breast Cancer Tissue by Immunohistochemistry. Asian Pacific Journal of Cancer Prevention. 15(14). 5535–5538. 8 indexed citations
10.
Yan, Weiqun, et al.. (2012). [Cytotoxic activity of spleen lymphocytes in BALB/c mice immunized by HSP110-HER2/neu ICD].. PubMed. 34(1). 11–4. 1 indexed citations
11.
Jiao, Ping, Jie Ma, Bin Feng, et al.. (2010). FFA‐Induced Adipocyte Inflammation and Insulin Resistance: Involvement of ER Stress and IKKβ Pathways. Obesity. 19(3). 483–491. 167 indexed citations
12.
Yan, Weiqun. (2008). High level secretory expression of human oncostatin M in Pichia pastoris. Journal of Jilin University. 1 indexed citations
13.
Yan, Weiqun. (2008). Reconstruction of fibrin-based tissue engineering corneal epithelium. Journal of Jilin University. 1 indexed citations
14.
Wang, Quancai, et al.. (2008). Expression, purification and characterization of recombinant human β-amyloid 1–42 in Pichia pastoris. Protein Expression and Purification. 63(2). 84–88. 4 indexed citations
15.
Yan, Weiqun. (2007). Cloning and identification of human α1-microglobulin/bikunin precursor cDNA. Journal of Jilin University. 1 indexed citations
16.
Yan, Weiqun. (2005). Construction of cDNA library of Gloydius saxatilis venom gland cloning and sequence analysis of defibrase. Zhongguo sheng-hua yaowu zazhi. 1 indexed citations
17.
Wang, Yi, Xiaoyun Su, Fang Wang, et al.. (2004). Induction of specific CTLs in BALB/c mice by chiral MUC1 synthetic peptide vaccine. Di-Si Junyi Daxue xuebao. 25(16). 1452–1455. 2 indexed citations
18.
Noshiro, Mitsuhide, Seicho Makihira, Takeshi Kawamoto, et al.. (1999). RGD-CAP (βig-h3) enhances the spreading of chondrocytes and fibroblasts via integrin α1β1. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1451(1). 196–205. 91 indexed citations
19.
Kawamoto, Takeshi, Haiou Pan, Weiqun Yan, et al.. (1998). Expression of membrane‐bound transferrin‐like protein p97 on the cell surface of chondrocytes. European Journal of Biochemistry. 256(3). 503–509. 30 indexed citations
20.
Okada, Yasunori, Seicho Makihira, Haiou Pan, et al.. (1997). Enhancement of cartilage matrix protein synthesis in arthritic cartilage. Arthritis & Rheumatism. 40(6). 1029–1036. 32 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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