Tai Wang

2.4k total citations
58 papers, 1.2k citations indexed

About

Tai Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Immunology. According to data from OpenAlex, Tai Wang has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 6 papers in Immunology. Recurrent topics in Tai Wang's work include Heat shock proteins research (11 papers), Computational Drug Discovery Methods (7 papers) and Probabilistic and Robust Engineering Design (5 papers). Tai Wang is often cited by papers focused on Heat shock proteins research (11 papers), Computational Drug Discovery Methods (7 papers) and Probabilistic and Robust Engineering Design (5 papers). Tai Wang collaborates with scholars based in China, United States and Switzerland. Tai Wang's co-authors include Shaojun Dai, Heng Zhang, Sixue Chen, Gabriela Chiosis, Suhasini Joshi, Qi Zhao, Didier Picard, Xufeng Yang, Sahil Sharma and Pascal Mäser and has published in prestigious journals such as Journal of Biological Chemistry, Nature reviews. Cancer and PLoS ONE.

In The Last Decade

Tai Wang

53 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tai Wang China 20 540 220 122 106 101 58 1.2k
Debashis Mukhopadhyay India 22 697 1.3× 53 0.2× 20 0.2× 218 2.1× 128 1.3× 100 1.5k
Yi Lü China 25 901 1.7× 90 0.4× 6 0.0× 52 0.5× 63 0.6× 129 2.2k
Zijing Liu China 22 465 0.9× 216 1.0× 81 0.7× 70 0.7× 39 0.4× 54 1.5k
Andreas Kremling Germany 25 1.4k 2.5× 56 0.3× 109 0.9× 136 1.3× 27 0.3× 77 1.8k
Binghua Wu China 22 1.1k 2.1× 528 2.4× 39 0.3× 136 1.3× 76 0.8× 74 2.4k
Akira Asano Japan 29 941 1.7× 70 0.3× 13 0.1× 55 0.5× 242 2.4× 150 2.4k
Limin Zhang China 20 714 1.3× 171 0.8× 41 0.3× 106 1.0× 20 0.2× 76 1.4k
Yasushi Hasegawa Japan 20 325 0.6× 38 0.2× 19 0.2× 150 1.4× 89 0.9× 118 1.4k
Yong Jin Cho South Korea 17 257 0.5× 173 0.8× 15 0.1× 169 1.6× 14 0.1× 84 1.2k
Zhong Li China 17 494 0.9× 22 0.1× 81 0.7× 75 0.7× 21 0.2× 67 955

Countries citing papers authored by Tai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tai Wang. A scholar is included among the top collaborators of Tai Wang 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 Tai Wang. Tai Wang 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.
Huang, Haifeng, Xinyi Chen, Yilun Chen, et al.. (2025). RoboGround: Robotic Manipulation with Grounded Vision-Language Priors. 22540–22550. 1 indexed citations
2.
Yang, Xufeng, Yu Zhang, Tai Wang, & Haizhu Zhang. (2024). An active learning reliability method combining population Monte Carlo and Kriging model for small failure probability. Structures. 70. 107621–107621. 6 indexed citations
3.
Zhang, Xuejing, et al.. (2023). Transcriptome analysis and gene expression analysis related to salinity-alkalinity and low temperature adaptation of Triplophysa yarkandensis. Frontiers in Genetics. 13. 1089274–1089274. 2 indexed citations
4.
An, Yuan, et al.. (2023). Relationship between ideal cardiovascular health score and perioperative acute kidney injury: A case‐control study. Clinical Cardiology. 47(1). e24159–e24159. 1 indexed citations
5.
Shi, Changhe, Tai Wang, Jing Yang, et al.. (2022). Dysregulation of peripheral monocytes and pro-inflammation of alpha-synuclein in Parkinson’s disease. Journal of Neurology. 269(12). 6386–6394. 20 indexed citations
6.
Zheng, Huimin, Tai Wang, Changhe Shi, et al.. (2022). Increased PRR14 and VCAM-1 level in serum of patients with Parkinson's disease. Frontiers in Neurology. 13. 993940–993940. 4 indexed citations
7.
Ginsberg, Stephen D., et al.. (2021). The penalty of stress ‐ Epichaperomes negatively reshaping the brain in neurodegenerative disorders. Journal of Neurochemistry. 159(6). 958–979. 21 indexed citations
8.
Wang, Tai, et al.. (2021). Hexyl-aminolevulinate ethosome–mediated photodynamic therapy against acne: in vitro and in vivo analyses. Drug Delivery and Translational Research. 12(1). 325–332. 12 indexed citations
9.
Xie, Zhi, et al.. (2021). Identification of a Potentially Functional circRNA-miRNA-mRNA Regulatory Network in Melanocytes for Investigating Pathogenesis of Vitiligo. Frontiers in Genetics. 12. 663091–663091. 12 indexed citations
10.
Wang, Tai, Xinge Zhu, & Dahua Lin. (2020). Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds. arXiv (Cornell University). 286–295. 4 indexed citations
11.
Yan, Pengrong, Tai Wang, Mónica L. Guzmán, Ioan Radu Peter, & Gabriela Chiosis. (2020). Chaperome Networks – Redundancy and Implications for Cancer Treatment. Advances in experimental medicine and biology. 1243. 87–99. 15 indexed citations
12.
Liu, Shuo, Wen‐Bo Zhang, Yao Yu, Tai Wang, & Xin Peng. (2020). Three-Dimensional Accuracy of Bone Contouring Surgery for Zygomaticomaxillary Fibrous Dysplasia Using Virtual Planning and Surgical Navigation. Journal of Oral and Maxillofacial Surgery. 78(12). 2328–2338. 3 indexed citations
13.
Jiang, Yang, Tai Wang, Lina Zhao, et al.. (2020). Gold/alpha-lactalbumin nanoprobes for the imaging and treatment of breast cancer. Nature Biomedical Engineering. 4(7). 686–703. 75 indexed citations
14.
Joshi, Suhasini, Tai Wang, Thaı́s L. S. Araujo, et al.. (2018). Adapting to stress — chaperome networks in cancer. Nature reviews. Cancer. 18(9). 562–575. 94 indexed citations
15.
Li, Yang, et al.. (2017). Mechanism of transdermal permeation promotion of lipophilic drugs by ethosomes. International Journal of Nanomedicine. Volume 12. 3357–3364. 87 indexed citations
16.
Abla, Nada, Sridevi Bashyam, Susan A. Charman, et al.. (2017). Long-Lasting and Fast-Acting in Vivo Efficacious Antiplasmodial Azepanylcarbazole Amino Alcohol. ACS Medicinal Chemistry Letters. 8(12). 1304–1308. 11 indexed citations
17.
Wang, Tai, William H. Bisson, Pascal Mäser, Léonardo Scapozza, & Didier Picard. (2014). Differences in Conformational Dynamics between Plasmodium falciparum and Human Hsp90 Orthologues Enable the Structure-Based Discovery of Pathogen-Selective Inhibitors. Journal of Medicinal Chemistry. 57(6). 2524–2535. 39 indexed citations
18.
Wang, Tai, et al.. (2013). Inhibitors of Molecular Chaperones as Therapeutic Agents. 20 indexed citations
19.
Wang, Tai, et al.. (1999). Components and Functions of Ubiquitin System(I) - Components Recognition of Substrates and Protein Ubiquitination. Chinese Bulletin of Botany. 16(3). 208. 1 indexed citations
20.
Wang, Tai, et al.. (1999). Components and Functions of the Ubiquitin System (II) - Biological Functions and Applications in Biotechnology. Chinese Bulletin of Botany. 16(4). 359. 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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