Wang Da-wu

538 total citations
11 papers, 394 citations indexed

About

Wang Da-wu is a scholar working on Pathology and Forensic Medicine, Pharmacology and Epidemiology. According to data from OpenAlex, Wang Da-wu has authored 11 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 3 papers in Pharmacology and 3 papers in Epidemiology. Recurrent topics in Wang Da-wu's work include Spine and Intervertebral Disc Pathology (3 papers), Healthcare and Venom Research (2 papers) and Sirtuins and Resveratrol in Medicine (2 papers). Wang Da-wu is often cited by papers focused on Spine and Intervertebral Disc Pathology (3 papers), Healthcare and Venom Research (2 papers) and Sirtuins and Resveratrol in Medicine (2 papers). Wang Da-wu collaborates with scholars based in China and Iran. Wang Da-wu's co-authors include Jieliang Shen, Zhenming Hu, Jie Hao, Wei Jiang, Xiaojun Zhang, Fang Ji, Liangbo Lin, Wen Dong, Yanjin He and Xiaohong Li and has published in prestigious journals such as Scientific Reports, Journal of Rehabilitation Medicine and Frontiers in Neurology.

In The Last Decade

Wang Da-wu

11 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wang Da-wu China 7 157 116 80 58 55 11 394
Majid Nisar China 8 148 0.9× 115 1.0× 96 1.2× 61 1.1× 49 0.9× 9 375
Wen Geng China 7 237 1.5× 144 1.2× 141 1.8× 60 1.0× 36 0.7× 14 460
Yuhao Wu China 11 104 0.7× 120 1.0× 99 1.2× 66 1.1× 35 0.6× 14 371
Jiayi Lin China 13 168 1.1× 177 1.5× 154 1.9× 48 0.8× 26 0.5× 35 593
Laura Giannotti Italy 14 64 0.4× 146 1.3× 43 0.5× 59 1.0× 67 1.2× 26 542
Marina Klawitter Switzerland 9 298 1.9× 97 0.8× 236 3.0× 69 1.2× 13 0.2× 9 463
Shen Kou Tsai Taiwan 10 46 0.3× 102 0.9× 19 0.2× 63 1.1× 56 1.0× 23 415
Xuejun Zhang China 12 33 0.2× 164 1.4× 46 0.6× 19 0.3× 55 1.0× 53 470
Dingkun Lin China 10 122 0.8× 124 1.1× 84 1.1× 13 0.2× 12 0.2× 25 393

Countries citing papers authored by Wang Da-wu

Since Specialization
Citations

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

Fields of papers citing papers by Wang Da-wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wang Da-wu

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

All Works

11 of 11 papers shown
1.
He, Yanjin, et al.. (2024). Chronobiological disruptions: unravelling the interplay of shift work, circadian rhythms, and vascular health in the context of stroke risk. Clinical and Experimental Medicine. 25(1). 6–6. 6 indexed citations
2.
Li, Xiaohong, Yanjin He, Wang Da-wu, & Mohammad Rezaei. (2024). Stroke rehabilitation: from diagnosis to therapy. Frontiers in Neurology. 15. 1402729–1402729. 36 indexed citations
3.
Yi, Weiwei, Qing Chen, Chuan Liu, et al.. (2021). LIPUS inhibits inflammation and catabolism through the NF‐κB pathway in human degenerative nucleus pulposus cells. Journal of Orthopaedic Surgery and Research. 16(1). 619–619. 13 indexed citations
4.
Da-wu, Wang, et al.. (2019). Pain correlates with social integration in individuals with traumatic spinal cord injury: A cross-sectional survey. Journal of Rehabilitation Medicine. 51(7). 506–512. 4 indexed citations
5.
Chen, Qing, et al.. (2016). Mitochondrial pathway and endoplasmic reticulum stress participate in the photosensitizing effectiveness of AEPDT in MG63 cells. Cancer Medicine. 5(11). 3186–3193. 41 indexed citations
6.
Liu, Zongchao, Chuan Ma, Jieliang Shen, et al.. (2016). SDF-1/CXCR4 axis induces apoptosis of human degenerative nucleus pulposus cells via the NF-κB pathway. Molecular Medicine Reports. 14(1). 783–789. 36 indexed citations
7.
Zhou, Nian, Xin Lin, Wen Dong, et al.. (2016). SIRT1 alleviates senescence of degenerative human intervertebral disc cartilage endo-plate cells via the p53/p21 pathway. Scientific Reports. 6(1). 22628–22628. 63 indexed citations
8.
Jiang, Wei, Xuemei Zhang, Jie Hao, et al.. (2014). SIRT1 protects against apoptosis by promoting autophagy in degenerative human disc nucleus pulposus cells. Scientific Reports. 4(1). 7456–7456. 122 indexed citations
9.
Shen, Jieliang, et al.. (2013). [Restoring phenotype of dedifferentiated normal nucleus pulposus cells by resveratrol].. PubMed. 27(5). 547–53. 3 indexed citations
10.
Da-wu, Wang, Zhenming Hu, Jie Hao, et al.. (2012). SIRT1 inhibits apoptosis of degenerative human disc nucleus pulposus cells through activation of Akt pathway. AGE. 35(5). 1741–1753. 68 indexed citations
11.
Da-wu, Wang. (2011). Determination of longistylin A and longistylin C in Cajanus cajan. China Journal of Chinese Materia Medica. 36(19). 2680–3. 2 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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