Xinxia Wang

7.1k total citations · 3 hit papers
143 papers, 5.7k citations indexed

About

Xinxia Wang is a scholar working on Molecular Biology, Physiology and Electrical and Electronic Engineering. According to data from OpenAlex, Xinxia Wang has authored 143 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 21 papers in Physiology and 20 papers in Electrical and Electronic Engineering. Recurrent topics in Xinxia Wang's work include RNA modifications and cancer (35 papers), Cancer-related gene regulation (20 papers) and Adipose Tissue and Metabolism (17 papers). Xinxia Wang is often cited by papers focused on RNA modifications and cancer (35 papers), Cancer-related gene regulation (20 papers) and Adipose Tissue and Metabolism (17 papers). Xinxia Wang collaborates with scholars based in China, United States and Indonesia. Xinxia Wang's co-authors include Yizhen Wang, Ruifan Wu, Yanguang Li, Yongxi Yao, Fengqin Wang, Feipeng Zhao, Na Han, Yuanling Zhao, Zhen Bi and Jun Zhong and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Xinxia Wang

134 papers receiving 5.6k citations

Hit Papers

VIRMA mediates preferential m6A mRNA methylation in 3′UTR... 2017 2026 2020 2023 2018 2017 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinxia Wang China 38 3.1k 1.3k 1.3k 1.2k 430 143 5.7k
Yanting Zhang China 30 1.0k 0.3× 211 0.2× 538 0.4× 1.1k 0.9× 532 1.2× 129 3.2k
Pengcheng Wang China 31 1.7k 0.5× 531 0.4× 301 0.2× 308 0.3× 298 0.7× 173 3.3k
Xianghong Li China 33 1.8k 0.6× 313 0.2× 194 0.2× 146 0.1× 669 1.6× 159 3.7k
Yanli Li China 31 2.1k 0.7× 412 0.3× 342 0.3× 136 0.1× 648 1.5× 136 3.9k
Haifeng Shi China 32 1.1k 0.3× 248 0.2× 229 0.2× 148 0.1× 452 1.1× 100 3.0k
Peipei Huo China 22 949 0.3× 291 0.2× 327 0.3× 535 0.4× 1.2k 2.8× 44 3.6k
Guoqing Huang China 33 547 0.2× 159 0.1× 625 0.5× 500 0.4× 576 1.3× 124 3.4k
Zhong Yao China 37 2.1k 0.7× 228 0.2× 152 0.1× 163 0.1× 171 0.4× 159 4.2k
Ya‐Jie Tang China 38 2.1k 0.7× 400 0.3× 79 0.1× 297 0.2× 280 0.7× 193 4.7k
Ran Meng China 26 719 0.2× 218 0.2× 312 0.2× 411 0.3× 441 1.0× 67 2.4k

Countries citing papers authored by Xinxia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xinxia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinxia Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xinxia Wang. A scholar is included among the top collaborators of Xinxia 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 Xinxia Wang. Xinxia 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.
Wang, Xinxia, et al.. (2025). VESICLE-INDUCING PROTEIN IN PLASTIDS 1 from thylakoid-lacking Gloeobacter promotes thylakoid formation in Arabidopsis. PLANT PHYSIOLOGY. 199(1). 4 indexed citations
2.
Jiang, Zipeng, Weifa Su, Jie Fu, et al.. (2025). Integrated multi-omics reveals the Bacillus amyloliquefaciens BA40 against Clostridium perfringens infection in weaned piglets. Journal of Advanced Research. 77. 75–90. 1 indexed citations
3.
Zhang, Xiuping, Zexuan Li, Ruiting Li, et al.. (2025). Construction and Brain Validation of circRNAs-miRNAs-mRNAs Regulatory Axis in Early-Onset Schizophrenia. Neuropsychiatric Disease and Treatment. Volume 21. 1481–1493.
4.
Liu, Yuxi, et al.. (2024). Betaine alleviates nonalcoholic fatty liver disease (NAFLD) via a manner involving BHMT/FTO/m6A/ PGC1α signaling. The Journal of Nutritional Biochemistry. 134. 109738–109738. 10 indexed citations
5.
Yang, Yuxuan, et al.. (2023). Dual-Phase Shifting Strategy for CLLC Resonant Converters. Journal of Electrical Engineering and Technology. 19(4). 2347–2360. 1 indexed citations
6.
Wang, Xinxia, Yuan Wei, Zhilan Sun, Fang Liu, & Daoying Wang. (2022). Ultrasensitive multicolor electrochromic sensor built on closed bipolar electrode: Application in the visual detection of Pseudomonas aeruginosa. Food Chemistry. 403. 134240–134240. 24 indexed citations
7.
Sheng, Dandan, Zhipeng Han, Luyao Zhang, et al.. (2022). Doxorubicin-liposome combined with clodronate-liposome inhibits hepatocellular carcinoma through the depletion of macrophages and tumor cells. International Journal of Pharmaceutics. 629. 122346–122346. 15 indexed citations
8.
Chen, Wei, et al.. (2022). Studies on the fat mass and obesity-associated (FTO) gene and its impact on obesity-associated diseases. Genes & Diseases. 10(6). 2351–2365. 36 indexed citations
10.
Chen, Wei, Yushi Chen, Ruifan Wu, et al.. (2022). DHA alleviates diet-induced skeletal muscle fiber remodeling via FTO/m6A/DDIT4/PGC1α signaling. BMC Biology. 20(1). 39–39. 30 indexed citations
11.
Wang, Xinxia, Ruifan Wu, Youhua Liu, et al.. (2019). m6A mRNA methylation controls autophagy and adipogenesis by targeting Atg5 and Atg7. Autophagy. 16(7). 1221–1235. 297 indexed citations breakdown →
12.
13.
Li, Sisi, Haichao Wang, Xinxia Wang, Yizhen Wang, & Jie Feng. (2017). Betaine affects muscle lipid metabolism via regulating the fatty acid uptake and oxidation in finishing pig. Journal of Animal Science and Biotechnology. 8(1). 72–72. 47 indexed citations
14.
Lu, Zeqing, Yifan Liu, Xi Xia, et al.. (2016). Cathelicidin-BF ameliorates lipopolysaccharide-induced intestinal epithelial barrier disruption in rat. Life Sciences. 152. 199–209. 33 indexed citations
15.
Tu, Ye, Xinxia Wang, Ying Lü, et al.. (2016). Promotion of the transdermal delivery of protein drugs by <em>N</em>-trimethyl chitosan nanoparticles combined with polypropylene electret. International Journal of Nanomedicine. Volume 11. 5549–5561. 17 indexed citations
16.
Zhou, Xihong, et al.. (2015). The beneficial effects of betaine on dysfunctional adipose tissue and N6-methyladenosine mRNA methylation requires the AMP-activated protein kinase α1 subunit. The Journal of Nutritional Biochemistry. 26(12). 1678–1684. 54 indexed citations
17.
Zhou, Xihong, et al.. (2014). Selenium-enriched exopolysaccharides improve skeletal muscle glucose uptake of diabetic KKAy mice via AMPK pathway. Journal of Physiology and Biochemistry. 70(2). 547–554. 9 indexed citations
18.
Chen, Yanping, Yong Ding, & Xinxia Wang. (2011). Compactness of Commutators for Singular Integrals on Morrey Spaces. Canadian Journal of Mathematics. 64(2). 257–281. 59 indexed citations
19.
Wang, Xinxia & Kangsen Mai. (2005). A successful microbound diet for the larval culture of Chinese shrimp Fenneropenaeus chinensis. Journal of Ocean University of China. 4(3). 267–271. 3 indexed citations
20.
Wang, Xinxia. (2004). Boundedness of Vector-valued Operators on Herz-Morrey Spaces.

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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