Wenzhen Tu

762 total citations
26 papers, 504 citations indexed

About

Wenzhen Tu is a scholar working on Pathology and Forensic Medicine, Epidemiology and Immunology. According to data from OpenAlex, Wenzhen Tu has authored 26 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pathology and Forensic Medicine, 6 papers in Epidemiology and 6 papers in Immunology. Recurrent topics in Wenzhen Tu's work include Systemic Sclerosis and Related Diseases (17 papers), Dermatologic Treatments and Research (5 papers) and Mast cells and histamine (5 papers). Wenzhen Tu is often cited by papers focused on Systemic Sclerosis and Related Diseases (17 papers), Dermatologic Treatments and Research (5 papers) and Mast cells and histamine (5 papers). Wenzhen Tu collaborates with scholars based in China, United States and Japan. Wenzhen Tu's co-authors include Jiucun Wang, Wenyu Wu, Jin Li, Xiaodong Zhou, Yanyun Ma, Haiyan Chu, Qingmei Liu, Hejian Zou, Ting Wu and Shuai Jiang and has published in prestigious journals such as PLoS ONE, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Wenzhen Tu

25 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenzhen Tu China 13 209 117 105 97 97 26 504
Cristina Antinozzi Italy 16 155 0.7× 244 2.1× 45 0.4× 35 0.4× 87 0.9× 41 608
Madhur P. Motwani United Kingdom 10 51 0.2× 123 1.1× 51 0.5× 60 0.6× 284 2.9× 12 561
Ulises De la Cruz-Mosso Mexico 13 132 0.6× 62 0.5× 19 0.2× 60 0.6× 245 2.5× 42 539
Nada Tomanović Serbia 13 47 0.2× 76 0.6× 38 0.4× 102 1.1× 30 0.3× 43 472
Vanessa B. Sequeira Australia 10 221 1.1× 110 0.9× 30 0.3× 38 0.4× 63 0.6× 12 453
Katarzyna Łącka Poland 11 89 0.4× 93 0.8× 20 0.2× 31 0.3× 39 0.4× 75 401
Christina Kellerer Germany 9 114 0.5× 121 1.0× 102 1.0× 25 0.3× 195 2.0× 25 463
S Imanaka Japan 10 207 1.0× 102 0.9× 15 0.1× 38 0.4× 182 1.9× 24 435
Hala T. El‐Bassyouni Egypt 12 63 0.3× 188 1.6× 37 0.4× 66 0.7× 61 0.6× 91 593
Bin Que China 11 32 0.2× 77 0.7× 77 0.7× 50 0.5× 127 1.3× 41 430

Countries citing papers authored by Wenzhen Tu

Since Specialization
Citations

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

Fields of papers citing papers by Wenzhen Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenzhen Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Wenzhen Tu. A scholar is included among the top collaborators of Wenzhen Tu 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 Wenzhen Tu. Wenzhen Tu 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.
Fang, Xinyi, Bin Pan, Jingyu Li, et al.. (2025). Mechanistic insights into ozone-induced asthma exacerbation: role of oxidative stress and IL-33. Journal of Hazardous Materials. 494. 138760–138760.
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Wang, Dandan, Ning Wei, Jianhua Li, et al.. (2022). Paliperidone Extended Release Versus Olanzapine in Treatment-Resistant Schizophrenia. Journal of Clinical Psychopharmacology. 42(4). 383–390. 4 indexed citations
5.
Chen, Jiayue, Xiaoyan Ma, Wenzhen Tu, et al.. (2022). Testing the validity and reliability of the Chinese version of the Staden schizophrenia anxiety rating scale. Frontiers in Psychiatry. 13. 992745–992745. 6 indexed citations
6.
Pu, Weilin, Rui Zhang, Yanyun Ma, et al.. (2021). Genetic Associations of Non–Major Histocompatibility Complex Susceptibility Loci with Systemic Sclerosis in a Han Chinese Population. Journal of Investigative Dermatology. 142(7). 2039–2042.e7. 1 indexed citations
7.
Huang, Yan, Yulong Tang, Xiangguang Shi, et al.. (2020). Involvement of Disabled-2 on skin fibrosis in systemic sclerosis. Journal of Dermatological Science. 99(1). 44–52. 5 indexed citations
8.
Shi, Xiangguang, Qingmei Liu, Jiaying Lu, et al.. (2019). Increased expression of GAB1 promotes inflammation and fibrosis in systemic sclerosis. Experimental Dermatology. 28(11). 1313–1320. 8 indexed citations
9.
Cui, Xiangxiang, Ji Yang, Wenzhen Tu, & Ming Li. (2018). Skin manifestations of patients with systemic sclerosis and their clinical significance. Chinese Journal of Dermatology. 51(1). 14–19. 1 indexed citations
10.
Lu, Jiaying, Qingmei Liu, Wenzhen Tu, et al.. (2017). Increased expression of latent TGF-β-binding protein 4 affects the fibrotic process in scleroderma by TGF-β/SMAD signaling. Laboratory Investigation. 97(5). 591–601. 34 indexed citations
11.
Ding, Weifeng, Weilin Pu, Shuai Jiang, et al.. (2017). Genome-Wide DNA Methylation Analysis in Systemic Sclerosis Reveals Hypomethylation of IFN-Associated Genes in CD4+ and CD8+ T Cells. Journal of Investigative Dermatology. 138(5). 1069–1077. 51 indexed citations
12.
Liu, Qingmei, Haiyan Chu, Yanyun Ma, et al.. (2016). Salvianolic Acid B Attenuates Experimental Pulmonary Fibrosis through Inhibition of the TGF-β Signaling Pathway. Scientific Reports. 6(1). 27610–27610. 74 indexed citations
13.
Guo, Shicheng, Yuan Li, Yi Wang, et al.. (2016). Copy Number Variation of HLA-DQA1 and APOBEC3A/3B Contribute to the Susceptibility of Systemic Sclerosis in the Chinese Han Population. The Journal of Rheumatology. 43(5). 880–886. 3 indexed citations
14.
Chu, Haiyan, Ting Wu, Wenyu Wu, et al.. (2015). Involvement of collagen-binding heat shock protein 47 in scleroderma-associated fibrosis. Protein & Cell. 6(8). 589–598. 18 indexed citations
15.
Wu, Ting, Haiyan Chu, Wenzhen Tu, et al.. (2014). Dissection of the mechanism of traditional Chinese medical prescription-Yiqihuoxue formula as an effective anti-fibrotic treatment for systemic sclerosis. BMC Complementary and Alternative Medicine. 14(1). 224–224. 25 indexed citations
16.
He, Dongyi, Jiucun Wang, Xinjian Guo, et al.. (2014). Association of the HLA-DRB1 with Scleroderma in Chinese Population. PLoS ONE. 9(9). e106939–e106939. 23 indexed citations
17.
Wang, Jiucun, Xinjian Guo, Dongyi He, et al.. (2014). Lack of Association of the CD247 SNP rs2056626 with Systemic Sclerosis in Han Chinese. The Open Rheumatology Journal. 8(1). 43–45. 19 indexed citations
18.
Wang, Jiucun, Xinjian Guo, Gang Guo, et al.. (2014). Association of HLA-DPB1 with Scleroderma and Its Clinical Features in Chinese Population. PLoS ONE. 9(1). e87363–e87363. 27 indexed citations
19.
Morita, Haruo, Kikuya Sugiura, Takashi Nagahama, et al.. (2000). Acceptance of skin xenografts (from guinea pig to mice) by portal venous and intravenous injections of donor hematolymphoid cells. Transplantation Proceedings. 32(2). 293–294. 3 indexed citations
20.
Matsui, Yoichi, Wenzhen Tu, Hiroaki Kitade, et al.. (1996). Hepatocyte volume as an indicator of hepatic functional reserve in cirrhotic patients with liver tumours. Journal of Gastroenterology and Hepatology. 11(6). 540–545. 16 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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