Wanjun Chen

6.7k total citations · 1 hit paper
86 papers, 4.1k citations indexed

About

Wanjun Chen is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Wanjun Chen has authored 86 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Infectious Diseases, 30 papers in Epidemiology and 23 papers in Immunology. Recurrent topics in Wanjun Chen's work include HIV/AIDS Research and Interventions (28 papers), HIV, Drug Use, Sexual Risk (24 papers) and Mesenchymal stem cell research (15 papers). Wanjun Chen is often cited by papers focused on HIV/AIDS Research and Interventions (28 papers), HIV, Drug Use, Sexual Risk (24 papers) and Mesenchymal stem cell research (15 papers). Wanjun Chen collaborates with scholars based in China, United States and Hong Kong. Wanjun Chen's co-authors include Sharon M. Wahl, Lingyun Sun, Dandan Wang, Wenwen Jin, Songtao Shi, Mark Frank, Kentaro Akiyama, Takayoshi Yamaza, Chider Chen and Cunye Qu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Wanjun Chen

79 papers receiving 4.0k citations

Hit Papers

Mesenchymal-Stem-Cell-Induced Immunoregulation Involves F... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wanjun Chen China 30 1.6k 1.3k 1.1k 624 623 86 4.1k
Shie‐Liang Hsieh Taiwan 37 1.1k 0.7× 1.9k 1.5× 1.9k 1.7× 505 0.8× 865 1.4× 109 5.3k
Shunichi Kato Japan 43 1.1k 0.7× 1.4k 1.1× 2.2k 1.9× 956 1.5× 714 1.1× 171 6.2k
Alma J. Nauta Netherlands 26 2.3k 1.5× 1.3k 1.1× 2.1k 1.8× 424 0.7× 1.2k 2.0× 35 5.4k
Giselle Chamberlain United Kingdom 14 1.5k 1.0× 1.0k 0.8× 697 0.6× 480 0.8× 912 1.5× 18 3.4k
Veronica Santarlasci Italy 29 1.3k 0.8× 859 0.7× 4.1k 3.6× 843 1.4× 715 1.1× 42 6.3k
Alexander Kalinkovich Israel 37 726 0.5× 1.6k 1.2× 1.5k 1.3× 978 1.6× 491 0.8× 89 5.8k
Eleuterio Lombardo Spain 24 1.2k 0.8× 771 0.6× 541 0.5× 293 0.5× 603 1.0× 47 2.6k
W Wiktor-Jędrzejczak Poland 30 871 0.6× 2.0k 1.6× 1.9k 1.7× 1.5k 2.4× 303 0.5× 222 5.5k
Janis L. Abkowitz United States 36 970 0.6× 1.8k 1.4× 977 0.9× 446 0.7× 154 0.2× 132 4.9k
Arthur I. Roberts United States 26 3.0k 1.9× 1.4k 1.1× 2.9k 2.6× 1.5k 2.3× 1.3k 2.0× 40 6.7k

Countries citing papers authored by Wanjun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wanjun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanjun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Wanjun Chen. A scholar is included among the top collaborators of Wanjun Chen 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 Wanjun Chen. Wanjun Chen 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
3.
Chen, Wanjun, Qiaoqin Ma, Hui Wang, et al.. (2024). Factors associated with voluntary HIV counseling and testing among young students engaging in casual sexual activity: a cross-sectional study from Eastern China. BMC Public Health. 24(1). 1109–1109. 1 indexed citations
5.
Yi, Chanlin, Jiamin Zhang, Wanjun Chen, et al.. (2024). Nonparametric Dynamic Granger Causality based on Multi-Space Spectrum Fusion for Time-varying Directed Brain Network Construction. IEEE Journal of Biomedical and Health Informatics. PP. 1–10. 1 indexed citations
6.
Chen, Nuo, Ming Zhao, Yaxin Guo, et al.. (2023). D-mannose is a rapid inducer of ACSS2 to trigger rapid and long-lasting antidepressant responses through augmenting BDNF and TPH2 levels. Translational Psychiatry. 13(1). 338–338. 6 indexed citations
7.
Wang, Hui, Qiaoqin Ma, Xiang Zhao, et al.. (2023). Factors Associated with HIV Testing among Male Students Who Have Engaged in Sexual Behaviour in Zhejiang Province, China. Canadian Journal of Infectious Diseases and Medical Microbiology. 2023(1). 6646210–6646210. 1 indexed citations
8.
Ma, Qiaoqin, Xin Zhou, Tingting Jiang, et al.. (2022). Analysis of Multiple Sexual Partners among 2665 Male College Students Who Have Sexual Behaviour in Zhejiang Province, China. BioMed Research International. 2022(1). 8006537–8006537. 8 indexed citations
9.
Lin, Hongxia, et al.. (2022). Potential value of tumor stiffness and sE-cadherin in predicting the response to neoadjuvant therapy in HER2-positive breast cancers. Future Oncology. 18(25). 2817–2825. 2 indexed citations
10.
Chaillon, Antoine, Xiaohong Pan, Jiafeng Zhang, et al.. (2022). Characterizing genetic transmission networks among newly diagnosed HIV-1 infected individuals in eastern China: 2012–2016. PLoS ONE. 17(6). e0269973–e0269973. 3 indexed citations
11.
He, Sijia, Jia Guo, Yajing Fu, et al.. (2021). Prestimulation of CD2 confers resistance to HIV-1 latent infection in blood resting CD4 T cells. iScience. 24(11). 103305–103305. 1 indexed citations
12.
Chen, Wanjun, et al.. (2021). The Characteristics and Risk Factors of Web-Based Sexual Behaviors Among Men Who Have Sex With Men in Eastern China: Cross-sectional Study. JMIR Public Health and Surveillance. 7(9). e25360–e25360. 5 indexed citations
13.
Chen, Zilin, Tian Zhang, Hiotong Kam, et al.. (2021). Induction of antigen-specific Treg cells in treating autoimmune uveitis via bystander suppressive pathways without compromising anti-tumor immunity. EBioMedicine. 70. 103496–103496. 17 indexed citations
14.
Xu, Junji, Peter Zanvit, Lei Hu, et al.. (2020). The Cytokine TGF-β Induces Interleukin-31 Expression from Dermal Dendritic Cells to Activate Sensory Neurons and Stimulate Wound Itching. Immunity. 53(2). 371–383.e5. 81 indexed citations
15.
He, Sijia, Yajing Fu, Jia Guo, et al.. (2019). Cofilin hyperactivation in HIV infection and targeting the cofilin pathway using an anti-α 4 β 7 integrin antibody. Science Advances. 5(1). eaat7911–eaat7911. 14 indexed citations
16.
Jiang, Jun, Jiezhe Yang, Lin Chen, et al.. (2018). [Sources and characteristics of newly reported HIV/AIDS cases in Yiwu, Zhejiang province, 2015-2016].. PubMed. 39(1). 21–26. 1 indexed citations
17.
Zhang, Jiafeng, Qin Fan, Wanjun Chen, et al.. (2017). [Analysis on HIV-1 subtypes and transmission clusters in newly reported HIV/AIDS cases in Yiwu, Zhejiang Province, 2016].. PubMed. 38(12). 1688–1693.
18.
Wang, Liang, Dali Han, Wanjun Chen, et al.. (2015). Non-functional parathyroid carcinoma: a case report and review of the literature. Cancer Biology & Therapy. 16(11). 1569–1576. 24 indexed citations
20.
Chen, Wanjun, Qing Zheng, Hong Lü, Qin-Juan Sun, & Shudong Xiao. (2011). The evaluation of the efficacy of pantoprazole-based triple and quadruple therapy in Helicobacter pylori eradication. Zhonghua xiaohua zazhi. 31(1). 40–44. 1 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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