Yu Tai

3.1k total citations
78 papers, 2.0k citations indexed

About

Yu Tai is a scholar working on Molecular Biology, Immunology and Electrical and Electronic Engineering. According to data from OpenAlex, Yu Tai has authored 78 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Immunology and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Yu Tai's work include Immune Cell Function and Interaction (7 papers), Receptor Mechanisms and Signaling (7 papers) and T-cell and B-cell Immunology (7 papers). Yu Tai is often cited by papers focused on Immune Cell Function and Interaction (7 papers), Receptor Mechanisms and Signaling (7 papers) and T-cell and B-cell Immunology (7 papers). Yu Tai collaborates with scholars based in China, United States and Saint Kitts and Nevis. Yu Tai's co-authors include Wei Wei, Qingtong Wang, Dong Wang, Chendi Ding, Jiajun Fu, Linghua Tan, Lingling Zhang, Jianbing Xu, Ruiqi Shen and Ji Dai and has published in prestigious journals such as Nature Communications, Blood and Journal of Applied Physics.

In The Last Decade

Yu Tai

74 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Tai China 25 715 365 299 270 224 78 2.0k
Hirofumi Inoue Japan 31 1.8k 2.5× 456 1.2× 223 0.7× 231 0.9× 136 0.6× 199 3.9k
Min Hwan Kim South Korea 32 819 1.1× 349 1.0× 340 1.1× 122 0.5× 226 1.0× 212 3.7k
Hyunsung Park South Korea 31 1.3k 1.8× 227 0.6× 187 0.6× 34 0.1× 571 2.5× 100 3.7k
Yuanyuan Yang China 26 659 0.9× 663 1.8× 145 0.5× 117 0.4× 217 1.0× 144 3.0k
Kejia Li China 22 317 0.4× 138 0.4× 809 2.7× 70 0.3× 655 2.9× 117 2.4k
Kae Nakamura Japan 38 1.4k 2.0× 257 0.7× 377 1.3× 36 0.1× 1.1k 5.1× 102 4.6k
Jun Hwan Kim South Korea 28 725 1.0× 883 2.4× 168 0.6× 120 0.4× 192 0.9× 178 2.7k
Yamin Fu China 29 1.2k 1.7× 401 1.1× 139 0.5× 245 0.9× 316 1.4× 67 2.3k
Dongdong Zhang China 39 1.7k 2.4× 638 1.7× 319 1.1× 69 0.3× 1.0k 4.5× 161 4.5k

Countries citing papers authored by Yu Tai

Since Specialization
Citations

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

Fields of papers citing papers by Yu Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Tai

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Tai. A scholar is included among the top collaborators of Yu Tai 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 Yu Tai. Yu Tai 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.
2.
Han, Dafei, et al.. (2024). Inhibition of GRK2 ameliorates the pristane-induced mouse SLE model by suppressing plasma cells differentiation. International Immunopharmacology. 138. 112557–112557. 5 indexed citations
3.
Tai, Yu, et al.. (2024). Topic-aware Masked Attentive Network for Information Cascade Prediction. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(8). 1–21. 2 indexed citations
4.
Tai, Yu, Feng He, Yongsheng Han, et al.. (2024). Combined injection of pristane and Bacillus Calmette-Guerin Vaccine successfully establishes a lupus model with atherosclerosis. Experimental Cell Research. 444(2). 114381–114381.
5.
Tai, Yu, et al.. (2023). Predicting information diffusion using the inter- and intra-path of influence transitivity. Information Sciences. 651. 119705–119705. 2 indexed citations
6.
Tai, Yu, et al.. (2023). Comprehensive analysis and evaluation of the geometric errors of the rotating axis of five-axis double-pendulum machine tools based on S-shaped samples. The International Journal of Advanced Manufacturing Technology. 129(11-12). 5135–5148. 1 indexed citations
7.
Wu, Li, Feng He, Yu Tai, et al.. (2023). CP-25 inhibits the hyperactivation of rheumatic synoviocytes by suppressing the switch in Gαs-Gαi coupling to the β2-adrenergic receptor. Cell Communication and Signaling. 21(1). 346–346. 5 indexed citations
8.
Wang, Manman, Yu Tai, Shangxue Yan, et al.. (2022). Ziyuglycoside I attenuates collagen-induced arthritis through inhibiting plasma cell expansion. Journal of Ethnopharmacology. 294. 115348–115348. 7 indexed citations
9.
Tao, Juan, Huijuan Chen, Weijie Zhou, et al.. (2022). A novel GRK2 inhibitor alleviates experimental arthritis through restraining Th17 cell differentiation. Biomedicine & Pharmacotherapy. 157. 113997–113997. 10 indexed citations
10.
Samur, Mehmet, Ricardo Sánchez, Santiago Barrio, et al.. (2021). Pathogenetic and Prognostic Implications of Increased Mitochondrial Content in Multiple Myeloma. Cancers. 13(13). 3189–3189. 5 indexed citations
11.
Zhang, Xian‐Zheng, Dan Mei, Han Wang, et al.. (2021). hIgDFc-Ig inhibits B cell function by regulating the BCR-Syk-Btk-NF-κB signalling pathway in mice with collagen-induced arthritis. Pharmacological Research. 173. 105873–105873. 4 indexed citations
12.
Zhang, Mei, Manman Wang, Yu Tai, et al.. (2021). Triggers of Cardiovascular Diseases in Rheumatoid Arthritis. Current Problems in Cardiology. 47(6). 100853–100853. 18 indexed citations
13.
Tai, Yu, Yue Zhu, Dan Mei, et al.. (2021). IgD promotes pannus formation by activating Wnt5A-Fzd5-CTHRC1-NF-κB signaling pathway in FLS of CIA rats and the regulation of IgD-Fc-Ig fusion protein. International Immunopharmacology. 101(Pt A). 108261–108261. 9 indexed citations
14.
Zhou, Weijie, Dandan Wang, Yu Tai, et al.. (2020). Deficiency of β-arrestin2 exacerbates inflammatory arthritis by facilitating plasma cell formation. Acta Pharmacologica Sinica. 42(5). 755–766. 19 indexed citations
15.
Tai, Yu, Xuan Peng, Nan Qin, et al.. (2018). Mitochondrial uncoupler BAM15 inhibits artery constriction and potently activates AMPK in vascular smooth muscle cells. Acta Pharmaceutica Sinica B. 8(6). 909–918. 27 indexed citations
16.
Wu, Li, Yu Tai, Shanshan Hu, et al.. (2018). Bidirectional Role of β2-Adrenergic Receptor in Autoimmune Diseases. Frontiers in Pharmacology. 9. 1313–1313. 47 indexed citations
17.
Tai, Yu, Qingtong Wang, Heinrich Körner, Lingling Zhang, & Wei Wei. (2018). Molecular Mechanisms of T Cells Activation by Dendritic Cells in Autoimmune Diseases. Frontiers in Pharmacology. 9. 642–642. 147 indexed citations
18.
Zhang, Xian‐Zheng, Feng Zhang, Chen Wang, et al.. (2018). Paeoniflorin-6′-O-benzene sulfonate alleviates collagen-induced arthritis in mice by downregulating BAFF-TRAF2-NF-κB signaling: comparison with biological agents. Acta Pharmacologica Sinica. 40(6). 801–813. 36 indexed citations
19.
Li, Shanliang, Jie Yan, Yanqiu Zhang, et al.. (2016). Niclosamide ethanolamine inhibits artery constriction. Pharmacological Research. 115. 78–86. 37 indexed citations
20.
Ohguchi, Hiroto, Teru Hideshima, Manoj Bhasin, et al.. (2016). The KDM3A–KLF2–IRF4 axis maintains myeloma cell survival. Nature Communications. 7(1). 10258–10258. 75 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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