Chao-wu Tang

685 total citations
32 papers, 585 citations indexed

About

Chao-wu Tang is a scholar working on Rehabilitation, Molecular Biology and Surgery. According to data from OpenAlex, Chao-wu Tang has authored 32 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Rehabilitation, 8 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Chao-wu Tang's work include Wound Healing and Treatments (12 papers), Mesenchymal stem cell research (5 papers) and Dermatologic Treatments and Research (5 papers). Chao-wu Tang is often cited by papers focused on Wound Healing and Treatments (12 papers), Mesenchymal stem cell research (5 papers) and Dermatologic Treatments and Research (5 papers). Chao-wu Tang collaborates with scholars based in China and South Korea. Chao-wu Tang's co-authors include Dahai Hu, Jihong Shi, Xiaozhi Bai, Xiongxiang Zhu, Yunchuan Wang, Zhanfeng Zhang, Linlin Su, Jiaqi Liu, Lei Fan and Tao Ke and has published in prestigious journals such as Biochemical and Biophysical Research Communications, British Journal of Pharmacology and Frontiers in Microbiology.

In The Last Decade

Chao-wu Tang

32 papers receiving 581 citations

Peers

Chao-wu Tang

REHAB

DERMA

BIOMA

SURGE

Jisun Cha United States

Ningwen Zhu China

Norio Kumagai Japan

You J. Shen Canada

Byung-Soon Park South Korea

Aziz Ghahary Canada

Valérie Haydont France

Michael P. O’Quinn United States

Shun Yu China

Jisun Cha United States

Chao-wu Tang

294 ×1.1

REHAB

107 ×0.6

105 ×0.6

DERMA

77 ×1.1

BIOMA

105 ×1.5

SURGE

Citations per year, relative to Chao-wu Tang Chao-wu Tang (= 1×) peers Jisun Cha

Countries citing papers authored by Chao-wu Tang

Since Specialization

Citations

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

Fields of papers citing papers by Chao-wu Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao-wu Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Chao-wu Tang. A scholar is included among the top collaborators of Chao-wu 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 Chao-wu Tang. Chao-wu Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Li, Nan, Qiangsheng Xu, Huimin Liu, et al.. (2020). Phylogenetic Responses of Marine Free-Living Bacterial Community to Phaeocystis globosa Bloom in Beibu Gulf, China. Frontiers in Microbiology. 11. 1624–1624. 18 indexed citations

Wu, Xue, Longlong Yang, Zhao Zheng, et al.. (2016). Src promotes cutaneous wound healing by regulating MMP-2 through the ERK pathway. International Journal of Molecular Medicine. 37(3). 639–648. 40 indexed citations

Li, Zhenzhen, Shichao Han, Xingqin Wang, et al.. (2015). Rho kinase inhibitor Y-27632 promotes the differentiation of human bone marrow mesenchymal stem cells into keratinocyte-like cells in xeno-free conditioned medium. Stem Cell Research & Therapy. 6(1). 17–17. 34 indexed citations

Bai, Xiaozhi, Ting He, Jiaqi Liu, et al.. (2015). Loureirin B inhibits fibroblast proliferation and extracellular matrix deposition in hypertrophic scar via TGF‐β/Smad pathway. Experimental Dermatology. 24(5). 355–360. 64 indexed citations

Yang, Longlong, Jiaqi Liu, Xiaozhi Bai, et al.. (2014). Acute downregulation of miR-155 at wound sites leads to a reduced fibrosis through attenuating inflammatory response. Biochemical and Biophysical Research Communications. 453(1). 153–159. 44 indexed citations

Ke, Tao, Hongtao Wang, Bi Chen, et al.. (2013). Effect of nonpeptide NK1 receptor antagonist L-703,606 on the edema formation in rats at early stage after deep partial-thickness skin scalding. Asian Pacific Journal of Tropical Medicine. 6(5). 387–394. 2 indexed citations

Tao, Ke, Zhanfeng Zhang, Jihong Shi, et al.. (2013). Construction of the tissue engineering seed cell (HaCaT–EGF) and analysis of its biological characteristics. Asian Pacific Journal of Tropical Medicine. 6(11). 893–896. 6 indexed citations

Shi, Jihong, Hao Guan, Shan Shi, et al.. (2013). Protection against TGF-β1-induced fibrosis effects of IL-10 on dermal fibroblasts and its potential therapeutics for the reduction of skin scarring. Archives of Dermatological Research. 305(4). 341–352. 98 indexed citations

Shi, Jihong, Dahai Hu, Zhanfeng Zhang, et al.. (2012). Reduced expression of microtubule-associated protein 1 light chain 3 in hypertrophic scars. Archives of Dermatological Research. 304(3). 209–215. 31 indexed citations

10.

Hu, Dahai, Zhanfeng Zhang, Wanfu Zhang, et al.. (2012). A potential skin substitute constructed with hEGF gene modified HaCaT cells for treatment of burn wounds in a rat model. Burns. 38(5). 702–712. 25 indexed citations

11.

Bai, Xiaozhi, Dahai Hu, Yunchuan Wang, et al.. (2012). [Effects of Angelica dahurica extract on biological behavior of dermal fibroblasts].. PubMed. 50(4). 357–60. 5 indexed citations

12.

Zhang, Zhanfeng, Dahai Hu, Jihong Shi, et al.. (2011). Smad interacting protein 1 as a regulator of skin fibrosis in pathological scars. Burns. 37(4). 665–672. 32 indexed citations

13.

Liu, Jiaqi, Yunchuan Wang, Yingjun Su, et al.. (2011). Wnt/β-catenin pathway forms a negative feedback loop during TGF-β1 induced human normal skin fibroblast-to-myofibroblast transition. Journal of Dermatological Science. 65(1). 38–49. 84 indexed citations

14.

Dong, Maolong, Dahai Hu, Wanfu Zhang, et al.. (2011). Insulin-Mediated Inhibition of p38 Mitogen-Activated Protein Kinase Protects Cardiomyocytes in Severe Burns. Journal of Burn Care & Research. 32(6). 591–599. 11 indexed citations

15.

Bai, Xiaozhi, Dahai Hu, Wanfu Zhang, et al.. (2010). [Effect of heat injured keratinocytes supernatant on biological behavior of fibroblasts].. PubMed. 26(2). 133–7. 1 indexed citations

16.

Wang, Li, et al.. (2010). [Expression of glucagon in gestational and diet-induced hyperlipidemic gestational rats].. PubMed. 26(4). 359–62. 1 indexed citations

17.

Wang, Li, Jing Wu, Rong Chen, et al.. (2009). The Correlation Between Intestinal Gonadotropin-Releasing Hormone (GnRH) and Proglucagon in Hyperlipidemic Rats and Goto-Kakizaki (GK) Rats. Endocrine Pathology. 20(4). 227–234. 5 indexed citations

18.

Zhang, Jun, et al.. (2009). [Protective effect of melatonin on oxidative stress inducing hair follicle injury in scald rat].. PubMed. 25(2). 129–32. 1 indexed citations

19.

Wang, Hongtao, et al.. (2005). Compatibility between human fetal hair papilla cells and polyhydroxybutyrate. 9(42). 42–43. 4 indexed citations

20.

Hu, Dahai, et al.. (2002). [Substance P up-regulates the TGF-beta 1 mRNA expression of human dermal fibroblasts in vitro].. PubMed. 18(4). 234–6. 13 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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