Naping Tang

1.5k total citations
44 papers, 1.2k citations indexed

About

Naping Tang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Naping Tang has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Naping Tang's work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Cancer-related molecular mechanisms research (4 papers) and Adipose Tissue and Metabolism (4 papers). Naping Tang is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (5 papers), Cancer-related molecular mechanisms research (4 papers) and Adipose Tissue and Metabolism (4 papers). Naping Tang collaborates with scholars based in China, Canada and United States. Naping Tang's co-authors include Bo Zhou, Rihong Cong, Haijuan Gu, Qingmin Sun, Li Yang, Rongbin Yu, Bin Wang, Huaijun Zhu, Jing Ma and Bin Wang and has published in prestigious journals such as Stroke, Clinical Cancer Research and The American Journal of Medicine.

In The Last Decade

Naping Tang

41 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naping Tang China 21 329 235 209 144 135 44 1.2k
Soundararajan Krishnaswamy United States 24 632 1.9× 450 1.9× 329 1.6× 108 0.8× 79 0.6× 34 1.7k
Yiwei Li China 17 457 1.4× 114 0.5× 127 0.6× 118 0.8× 72 0.5× 35 1.1k
Nina Grosser Germany 21 681 2.1× 159 0.7× 141 0.7× 83 0.6× 58 0.4× 26 1.5k
Linlin Pan China 12 239 0.7× 522 2.2× 64 0.3× 220 1.5× 127 0.9× 40 1.1k
Jie Shen China 21 348 1.1× 197 0.8× 60 0.3× 232 1.6× 34 0.3× 81 1.3k
Xiude Fan China 23 355 1.1× 227 1.0× 184 0.9× 449 3.1× 56 0.4× 91 1.3k
Hong Luan China 20 528 1.6× 111 0.5× 90 0.4× 116 0.8× 36 0.3× 55 1.2k
John C. Marecki United States 18 460 1.4× 100 0.4× 93 0.4× 190 1.3× 46 0.3× 30 1.5k
Chen Yu China 23 498 1.5× 93 0.4× 97 0.5× 96 0.7× 47 0.3× 82 1.4k
Yunjun Xiao China 21 382 1.2× 119 0.5× 62 0.3× 106 0.7× 91 0.7× 36 1.1k

Countries citing papers authored by Naping Tang

Since Specialization
Citations

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

Fields of papers citing papers by Naping Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naping Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Naping Tang. A scholar is included among the top collaborators of Naping 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 Naping Tang. Naping 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.
Yang, Zixuan, et al.. (2025). Application of humanized mice in the safety experiments of antibody drugs. Animal Models and Experimental Medicine. 8(6). 1023–1032.
2.
Zhao, Liyuan, Lei Shi, Zixuan Yang, et al.. (2024). The role of exosomal lncRNAs in cardiovascular disease: Emerging insights based on molecular mechanisms and therapeutic target level. Non-coding RNA Research. 10. 198–205.
3.
Yang, Zixuan, et al.. (2024). The role of exosomal lncRNAs in acetaminophen-induced induced liver injury in SD rats. Non-coding RNA Research. 9(4). 1190–1202. 1 indexed citations
4.
Yang, Zixuan, et al.. (2023). Exosomal Long Noncoding RNAs Serve as Biomarkers for Liver Disease. The Turkish Journal of Gastroenterology. 34(7). 674–680. 2 indexed citations
5.
Hong, Min Jeong, Min Lü, Liping Wei, et al.. (2021). A 90-day Sub-chronic Oral Toxicity Assessment of Mulberry Extract in Sprague Dawley Rats. INQUIRY The Journal of Health Care Organization Provision and Financing. 58. 2846649772–2846649772. 8 indexed citations
6.
Tang, Naping, et al.. (2021). Preclinical safety profile of RC88-ADC：a novel mesothelin-targeted antibody conjugated with Monomethyl auristatin E. Drug and Chemical Toxicology. 46(1). 24–34. 10 indexed citations
7.
Tang, Naping, Hua Li, Guomin Zhou, et al.. (2014). Risk/benefit profile of panitumumab-based therapy in patients with metastatic colorectal cancer: evidence from five randomized controlled trials. Tumor Biology. 35(10). 10409–10418. 3 indexed citations
8.
Tang, Naping, et al.. (2013). Myeloperoxidase G-463A polymorphism and susceptibility to coronary artery disease: A meta-analysis. Gene. 523(2). 152–157. 11 indexed citations
9.
Tang, Naping, et al.. (2012). <I>GSTM1</I> and <I>GSTT1</I> null polymorphisms and susceptibility to anti-tuberculosis drug-induced liver injury: a meta-analysis [Review article]. The International Journal of Tuberculosis and Lung Disease. 17(1). 17–25. 24 indexed citations
10.
Wang, Liansheng, Jianjun Yan, Naping Tang, et al.. (2010). A polymorphism in the visfatin gene promoter is related to decreased plasma levels of inflammatory markers in patients with coronary artery disease. Molecular Biology Reports. 38(2). 819–825. 28 indexed citations
11.
Tang, Naping, et al.. (2010). Systematic review and meta-analysis of the association between P53 codon 72 polymorphism and colorectal cancer. European Journal of Surgical Oncology. 36(5). 431–438. 23 indexed citations
12.
Tang, Naping, et al.. (2009). Green tea, black tea consumption and risk of lung cancer: A meta-analysis. Lung Cancer. 65(3). 274–283. 91 indexed citations
13.
Yan, Jianjun, Naping Tang, En‐Zhi Jia, et al.. (2009). Genetic variant in visfatin gene promoter is associated with decreased risk of coronary artery disease in a Chinese population. Clinica Chimica Acta. 411(1-2). 26–30. 17 indexed citations
14.
Tang, Naping, et al.. (2009). Coffee consumption and risk of lung cancer: A meta-analysis. Lung Cancer. 67(1). 17–22. 61 indexed citations
15.
Yang, Li, Huaijun Zhu, Bo Zhou, et al.. (2008). The Association Between the Survivin C-31G Polymorphism and Gastric Cancer Risk in a Chinese Population. Digestive Diseases and Sciences. 54(5). 1021–1028. 38 indexed citations
16.
Tang, Naping, Lian‐Sheng Wang, Li Yang, et al.. (2008). Genetic variant in glutathione peroxidase 1 gene is associated with an increased risk of coronary artery disease in a Chinese population. Clinica Chimica Acta. 395(1-2). 89–93. 43 indexed citations
17.
Tang, Naping, Bo Zhou, Bin Wang, & Rongbin Yu. (2008). Coffee consumption and risk of breast cancer: a metaanalysis. American Journal of Obstetrics and Gynecology. 200(3). 290.e1–290.e9. 46 indexed citations
18.
Zhou, Bo, Li Yang, Liansheng Wang, et al.. (2007). The association of tea consumption with ovarian cancer risk: A metaanalysis. American Journal of Obstetrics and Gynecology. 197(6). 594.e1–594.e6. 18 indexed citations
19.
Wang, Lian‐Sheng, Naping Tang, Huaijun Zhu, et al.. (2007). Endothelin-converting enzyme-1b C-338A polymorphism is associated with the increased risk of coronary artery disease in Chinese population. Clinica Chimica Acta. 384(1-2). 75–79. 12 indexed citations
20.
Tang, Naping, Liansheng Wang, Li Yang, et al.. (2007). Protective effect of an endothelial lipase gene variant on coronary artery disease in a Chinese population. Journal of Lipid Research. 49(2). 369–375. 37 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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