Ning Wang

49.2k total citations · 12 hit papers
1.2k papers, 34.9k citations indexed

About

Ning Wang is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Ning Wang has authored 1.2k papers receiving a total of 34.9k indexed citations (citations by other indexed papers that have themselves been cited), including 529 papers in Molecular Biology, 206 papers in Cancer Research and 153 papers in Epidemiology. Recurrent topics in Ning Wang's work include Cancer-related molecular mechanisms research (103 papers), MicroRNA in disease regulation (89 papers) and RNA modifications and cancer (64 papers). Ning Wang is often cited by papers focused on Cancer-related molecular mechanisms research (103 papers), MicroRNA in disease regulation (89 papers) and RNA modifications and cancer (64 papers). Ning Wang collaborates with scholars based in China, Hong Kong and United States. Ning Wang's co-authors include Yibin Feng, Hor‐Yue Tan, Sha Li, Cheng Zhang, Ming Hong, Lixing Lao, Zhang-Jin Zhang, Sai‐Wah Tsao, Xuanbin Wang and Tuofu Zhu and has published in prestigious journals such as Science, New England Journal of Medicine and Cell.

In The Last Decade

Ning Wang

1.2k papers receiving 34.3k citations

Hit Papers

The Role of Oxidative Stres... 1993 2026 2004 2015 2015 1993 2016 2017 2009 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning Wang China 84 15.3k 6.0k 3.8k 3.8k 3.1k 1.2k 34.9k
Chen Chen China 88 19.5k 1.3× 5.7k 1.0× 3.7k 1.0× 4.2k 1.1× 3.8k 1.2× 2.5k 51.4k
Yang Liu China 72 13.8k 0.9× 6.9k 1.2× 2.5k 0.7× 3.2k 0.8× 3.2k 1.0× 1.9k 33.9k
Nitin S. Baliga United States 46 26.6k 1.7× 5.9k 1.0× 2.5k 0.7× 3.4k 0.9× 2.2k 0.7× 144 41.8k
Nadezhda T. Doncheva Denmark 18 17.1k 1.1× 4.5k 0.7× 1.8k 0.5× 3.2k 0.8× 2.6k 0.8× 33 28.4k
Owen Ozier United States 16 22.7k 1.5× 5.6k 0.9× 1.9k 0.5× 3.2k 0.8× 2.1k 0.7× 41 36.5k
Sung‐Hoon Kim South Korea 83 17.9k 1.2× 3.7k 0.6× 1.7k 0.5× 2.8k 0.7× 3.2k 1.1× 1.4k 36.3k
Nada Amin United States 13 21.8k 1.4× 5.5k 0.9× 1.9k 0.5× 3.2k 0.8× 2.1k 0.7× 31 35.2k
Milan Simonovic Switzerland 9 21.7k 1.4× 5.2k 0.9× 2.0k 0.5× 3.5k 0.9× 2.9k 1.0× 10 33.7k
Benno Schwikowski France 23 24.6k 1.6× 5.6k 0.9× 2.0k 0.5× 3.5k 0.9× 2.3k 0.7× 53 38.3k
Michael Kuhn Germany 55 23.9k 1.6× 3.7k 0.6× 1.9k 0.5× 2.9k 0.8× 2.2k 0.7× 153 39.2k

Countries citing papers authored by Ning Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ning Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Wang. A scholar is included among the top collaborators of Ning 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 Ning Wang. Ning 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.
Ye, Run‐Ze, Ning Wang, Qiushi Wang, et al.. (2025). Virome specific to tick genus with distinct ecogeographical distribution. Microbiome. 13(1). 57–57. 2 indexed citations
3.
4.
Li, Liang, Ning Wang, Xiang Li, et al.. (2024). Shape Engineering of Exosomes for Endoplasmic Reticulum-Targeted Delivery and Amplified Anticancer Efficacy. Nano Today. 57. 102377–102377. 7 indexed citations
6.
Yang, Jiali, Lifeng Zhang, Yue Wang, et al.. (2024). Dihydromyricetin-loaded oxidized polysaccharide/L-arginine chitosan adhesive hydrogel promotes bone regeneration by regulating PI3K/AKT signaling pathway and MAPK signaling pathway. Carbohydrate Polymers. 346. 122614–122614. 19 indexed citations
7.
Mamun, MAA, Yi‐Chao Zheng, Ning Wang, et al.. (2024). Decoding CLU (Clusterin): Conquering cancer treatment resistance and immunological barriers. International Immunopharmacology. 137. 112355–112355. 4 indexed citations
8.
Tang, Ying, Yibing Li, Wei Wei, et al.. (2024). ALDH1A3 contributes to tumorigenesis in high-grade serous ovarian cancer by epigenetic modification. Cellular Signalling. 116. 111044–111044. 3 indexed citations
9.
Wang, Xuan, Ning Wang, Di Miao, et al.. (2024). Tailoring enzyme modified starch through high-moisture extrusion: Unraveling structure-property relationships. International Journal of Biological Macromolecules. 282(Pt 4). 137140–137140. 3 indexed citations
10.
Zhou, Yue, Rong Zhou, Ning Wang, et al.. (2024). Inhibition of STRA6 suppresses NSCLC growth via blocking STAT3/SREBP-1c axis-mediated lipogenesis. Molecular and Cellular Biochemistry. 480(3). 1715–1730.
11.
Wang, Ning, Ying Dong, Hong Zhang, et al.. (2023). Exploring the mechanism of high hydrostatic pressure on the chemical activity of starch based on its structure and properties changes. Food Chemistry. 418. 136058–136058. 12 indexed citations
12.
Wu, Junyu, Yau-Tuen Chan, Yuanjun Lu, et al.. (2023). Genipin-activating PPARγ impedes CCR2-mediated macrophage infiltration into postoperative liver to suppress recurrence of hepatocellular carcinoma. International Journal of Biological Sciences. 19(16). 5257–5274. 6 indexed citations
13.
Huang, Ting, et al.. (2023). Effectiveness of acupuncture for pain relief in shoulder-hand syndrome after stroke: a systematic evaluation and Bayesian network meta-analysis. Frontiers in Neurology. 14. 1268626–1268626. 3 indexed citations
14.
Zhang, Ming, Ning Wang, Peng Song, et al.. (2020). LncRNA GATA3‐AS1 facilitates tumour progression and immune escape in triple‐negative breast cancer through destabilization of GATA3 but stabilization of PD‐L1. Cell Proliferation. 53(9). e12855–e12855. 123 indexed citations
15.
Pan, Yuesong, et al.. (2018). THRIVE‐c score predicts clinical outcomes in Chinese patients after thrombolysis. Brain and Behavior. 8(2). e00927–e00927. 9 indexed citations
16.
Zhang, Hui, Hongli Zhang, Ning Wang, et al.. (2017). TCF21 is related to testis growth and development in broiler chickens. Genetics Selection Evolution. 49(1). 25–25. 16 indexed citations
17.
Wang, Xinzheng, et al.. (2015). Over-expression of microRNA-375 inhibits papillary thyroid carcinoma cell proliferation and induces cell apoptosis by targeting ERBB2. Journal of Pharmacological Sciences. 130(2). 78–84. 38 indexed citations
18.
Xie, Weizhen, et al.. (2013). Clarifying the Role of Psychological Pain in the Risks of Suicidal Ideation and Suicidal Acts among Patients with Major Depressive Episodes. Suicide and Life-Threatening Behavior. 44(1). 78–88. 72 indexed citations
19.
Wu, Yanmei, Wei Hu, Yang Wang, et al.. (2013). Exploring novel targets of basal-like breast carcinoma by comparative gene profiling and mechanism analysis. Breast Cancer Research and Treatment. 141(1). 23–32. 4 indexed citations
20.
Fu, Qiang, Yanfeng Wu, Yan Fang, et al.. (2011). Efficient induction of a Her2-specific anti-tumor response by dendritic cells pulsed with a Hsp70L1–Her2341–456 fusion protein. Cellular and Molecular Immunology. 8(5). 424–432. 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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