Bing Tang

2.1k total citations
66 papers, 1.6k citations indexed

About

Bing Tang is a scholar working on Rehabilitation, Molecular Biology and Dermatology. According to data from OpenAlex, Bing Tang has authored 66 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Rehabilitation, 18 papers in Molecular Biology and 14 papers in Dermatology. Recurrent topics in Bing Tang's work include Wound Healing and Treatments (31 papers), Dermatologic Treatments and Research (12 papers) and Diabetic Foot Ulcer Assessment and Management (9 papers). Bing Tang is often cited by papers focused on Wound Healing and Treatments (31 papers), Dermatologic Treatments and Research (12 papers) and Diabetic Foot Ulcer Assessment and Management (9 papers). Bing Tang collaborates with scholars based in China, United States and Belarus. Bing Tang's co-authors include Zhicheng Hu, Jiayuan Zhu, Peng Wang, Dong Guo, Xiaoling Cao, Shaobin Huang, Rui Guo, Andrei Hancharou, Wei Yang and Yong Lan and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Bing Tang

60 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Tang China 23 649 454 309 204 185 66 1.6k
Bin Shu China 24 670 1.0× 501 1.1× 194 0.6× 171 0.8× 227 1.2× 77 1.5k
Jiayuan Zhu China 20 596 0.9× 313 0.7× 208 0.7× 185 0.9× 171 0.9× 51 1.2k
Andrew P. Sawaya United States 13 1.1k 1.8× 406 0.9× 307 1.0× 208 1.0× 197 1.1× 21 2.0k
Matthew Caley United Kingdom 17 532 0.8× 632 1.4× 195 0.6× 174 0.9× 143 0.8× 39 1.9k
Swathi Balaji United States 24 651 1.0× 506 1.1× 308 1.0× 359 1.8× 133 0.7× 64 1.9k
Horacio Ramirez United States 10 1.1k 1.8× 302 0.7× 322 1.0× 203 1.0× 199 1.1× 11 1.7k
Natalie Yin United States 11 927 1.4× 215 0.5× 279 0.9× 161 0.8× 337 1.8× 24 1.6k
Amitava Das United States 21 676 1.0× 737 1.6× 262 0.8× 296 1.5× 65 0.4× 48 2.1k
Antonios Kafanas United States 12 859 1.3× 301 0.7× 197 0.6× 184 0.9× 96 0.5× 18 1.4k
Junwang Xu United States 22 592 0.9× 407 0.9× 171 0.6× 117 0.6× 64 0.3× 49 1.5k

Countries citing papers authored by Bing Tang

Since Specialization
Citations

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

Fields of papers citing papers by Bing Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Tang. A scholar is included among the top collaborators of Bing Tang 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 Bing Tang. Bing Tang 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.
Zhao, Zirui, Dongming Lv, Rong Yin, et al.. (2025). Association and mediation between circulating inflammatory proteins and skin fibrosis. Frontiers in Endocrinology. 16. 1416993–1416993.
3.
Xie, Hui, Ming Liu, Zhaolong Wang, et al.. (2025). Efficient Multiexciton Energy Transfer from Quantum Dots to Molecular Triplets. Journal of the American Chemical Society. 148(1). 1513–1523.
5.
Yang, Hao, Yongfei Chen, Shuting Li, et al.. (2025). Multifunctional hydrogel targeting senescence to accelerate diabetic wound healing through promoting angiogenesis. Journal of Nanobiotechnology. 23(1). 177–177. 5 indexed citations
6.
Wan, Juan, Huimin Wang, Yong Liu, et al.. (2025). The anti-NMDAR1 antibodies and IL-17 signaling pathway shape NMDAR encephalitis. Molecular Psychiatry.
7.
Zhao, Zirui, Dongming Lv, Rong Yin, et al.. (2025). Tailored Metal–Phenolic Network with Hypoglycemic Polyphenol for Promoting Diabetic Wound Healing. ACS Applied Materials & Interfaces. 17(10). 15163–15176. 2 indexed citations
8.
Yang, Hao, Hailin Xu, Dongming Lv, et al.. (2024). The naringin/carboxymethyl chitosan/sodium hyaluronate/silk fibroin scaffold facilitates the healing of diabetic wounds by restoring the ROS-related dysfunction of vascularization and macrophage polarization. International Journal of Biological Macromolecules. 260(Pt 1). 129348–129348. 9 indexed citations
9.
Lv, Dongming, Hao Yang, Zirui Zhao, et al.. (2024). Hollow Bismuth Nanoparticle-Loaded Gelatin Hydrogel Regulates M2 Polarization of Macrophages to Promote Infected Wound Healing. Biomaterials Research. 28. 105–105. 2 indexed citations
10.
Jiang, Biao, et al.. (2024). The role of ACER2 in intestinal sphingolipid metabolism and gastrointestinal cancers. Frontiers in Immunology. 15. 1511283–1511283. 2 indexed citations
11.
Dong, Yunxian, Jinsheng Huang, Zhicheng Hu, et al.. (2023). Melatonin inhibits fibroblast cell functions and hypertrophic scar formation by enhancing autophagy through the MT2 receptor-inhibited PI3K/Akt /mTOR signaling. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(1). 166887–166887. 17 indexed citations
12.
Xu, Hailin, Hao Yang, Zhiyong Wang, et al.. (2023). Epidermal Stem Cell Derived Exosomes Alleviate Excessive Autophagy Induced Endothelial Cell Apoptosis by Delivering miR200b-3p to Diabetic Wounds. Journal of Investigative Dermatology. 144(5). 1134–1147.e2. 16 indexed citations
13.
Lv, Dongming, Xiaoling Cao, Zhong Li, et al.. (2023). Targeting phenylpyruvate restrains excessive NLRP3 inflammasome activation and pathological inflammation in diabetic wound healing. Cell Reports Medicine. 4(8). 101129–101129. 84 indexed citations
14.
Yang, Hao, Hailin Xu, Shuting Li, et al.. (2022). Bioinformatic Analysis Reveals Hub Immune-Related Genes of Diabetic Foot Ulcers. Frontiers in Surgery. 9. 878965–878965. 11 indexed citations
15.
He, Tao, et al.. (2022). Blood Urea Nitrogen to Serum Albumin Ratio in the Prediction of Acute Kidney Injury of Patients with Rib Fracture in Intensive Care Unit. SHILAP Revista de lepidopterología. 11 indexed citations
16.
Wang, Peng, Georgios Theocharidis, Ioannis S. Vlachos, et al.. (2022). Exosomes Derived from Epidermal Stem Cells Improve Diabetic Wound Healing. Journal of Investigative Dermatology. 142(9). 2508–2517.e13. 70 indexed citations
17.
Chen, Fengshou, Jie Han, & Bing Tang. (2021). Patterns of Immune Infiltration and the Key Immune-Related Genes in Acute Type A Aortic Dissection in Bioinformatics Analyses. International Journal of General Medicine. Volume 14. 2857–2869. 15 indexed citations
18.
Hu, Zhicheng, Shanqiang Qu, Jian Zhang, et al.. (2019). Efficacy and Safety of Platelet-Rich Plasma for Patients with Diabetic Ulcers: A Systematic Review and Meta-analysis. Advances in Wound Care. 8(7). 298–308. 36 indexed citations
19.
Wang, Peng, Shaobin Huang, Zhicheng Hu, et al.. (2019). In situ formed anti-inflammatory hydrogel loading plasmid DNA encoding VEGF for burn wound healing. Acta Biomaterialia. 100. 191–201. 187 indexed citations
20.
Tang, Bing, et al.. (2015). Systematic review of high pressure and low pressure vacuum drainage for breast cancer patients after surgery. Zhonghua xiandai huli zazhi. 21(10). 1157–1161. 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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