Xinhui Wang

680 total citations
30 papers, 516 citations indexed

About

Xinhui Wang is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Xinhui Wang has authored 30 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Xinhui Wang's work include Computational Drug Discovery Methods (7 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Melanoma and MAPK Pathways (3 papers). Xinhui Wang is often cited by papers focused on Computational Drug Discovery Methods (7 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Melanoma and MAPK Pathways (3 papers). Xinhui Wang collaborates with scholars based in China, United States and Pakistan. Xinhui Wang's co-authors include Soldano Ferrone, Yangyang Wang, Ling Yu, Alan Parrish, H. Kim Lyerly, Koichi Sakakura, Mamatha Chivukula, William T. Barry, James B. McCarthy and Adam Brufsky and has published in prestigious journals such as Blood, JNCI Journal of the National Cancer Institute and International Journal of Molecular Sciences.

In The Last Decade

Xinhui Wang

27 papers receiving 504 citations

Peers

Xinhui Wang

ONCOL

IMMUN

Dongkyoo Park United States

Chang‐Uk Lim United States

Stephanie M. Cohen United States

Ángeles C. Tecalco-Cruz Mexico

Peronne Joseph United States

Lorna Flanagan Ireland

Monish Ram Makena United States

Sara G. Manore United States

Siao Muk Cheng Taiwan

Pei Wu China

Dongkyoo Park United States

Xinhui Wang

545 ×1.7

287 ×1.9

ONCOL

93 ×1.0

IMMUN

137 ×1.4

35 ×0.7

Citations per year, relative to Xinhui Wang Xinhui Wang (= 1×) peers Dongkyoo Park

Countries citing papers authored by Xinhui Wang

Since Specialization

Citations

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

Fields of papers citing papers by Xinhui Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinhui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xinhui Wang. A scholar is included among the top collaborators of Xinhui 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 Xinhui Wang. Xinhui Wang 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

Huang, Can, Jie Jack Li, Hongwei He, et al.. (2025). In vivo safety prediction of recombinant collagen using in vitro simulated degradation analysis, chronic toxicity and immunological evaluation. Regenerative Biomaterials. 13. rbaf128–rbaf128.

Wang, Xinhui, Yingnan Li, Zhuo Chen, et al.. (2025). MbWRKY50 confers cold and drought tolerance through upregulating antioxidant capacity associated with ROS scavenging. Journal of Plant Physiology. 310. 154526–154526. 8 indexed citations

Wang, Xinhui, Qian Yu, Li X, et al.. (2025). Overexpression of a Malus baccata (L.) Borkh WRKY Factor Gene MbWRKY33 Increased High Salinity Stress Tolerance in Arabidopsis thaliana. International Journal of Molecular Sciences. 26(12). 5833–5833. 2 indexed citations

He, Zhijian, et al.. (2023). Conjoint research of WGCNA, single-cell transcriptome and structural biology reveals the potential targets of IDD development and treatment and JAK3 involvement. Aging. 15(24). 14764–14790.

Wang, Xinhui, et al.. (2023). DNA methylation drives a new path in gastric cancer early detection: Current impact and prospects. Genes & Diseases. 11(2). 847–860. 17 indexed citations

Xin, Lei, Rui Ji, Tianyu Wei, et al.. (2023). Integrated analysis of single-cell transcriptome and structural biology approach reveals the dynamics changes of NP subtypes and roles of Menaquinone in attenuating intervertebral disc degeneration. Journal of Biomolecular Structure and Dynamics. 42(18). 9439–9462. 1 indexed citations

Li, Weihang, Weiye Li, Tao Hong, et al.. (2022). Novel Target Study to Cure Cardiovascular Disease regarding Proprotein Converse Subtilisin/Kexin Type 9. BioMed Research International. 2022(1). 9039377–9039377. 1 indexed citations

Jiang, Yuting, Wanting Chen, Xinhui Wang, et al.. (2022). Novel natural inhibitors targeting KRAS G12C by computational study. Anti-Cancer Drugs. 33(9). 779–788.

Zhong, Sheng, Yuanyuan Hou, Zhiyun Zhang, et al.. (2022). Identification of novel natural inhibitors targeting AKT Serine/Threonine Kinase 1 (AKT1) by computational study. Bioengineered. 13(5). 12003–12020. 24 indexed citations

10.

Hou, Yuanyuan, et al.. (2021). Computational study on novel natural inhibitors targeting c-MET. Medicine. 100(38). e27171–e27171. 4 indexed citations

11.

Jiang, Yuting, et al.. (2021). Computational study on novel natural inhibitors targeting BCL2. Medical Oncology. 38(8). 94–94. 5 indexed citations

12.

Ge, Junliang, et al.. (2020). Computational study on natural compounds inhibitor of c-Myc. Medicine. 99(50). e23342–e23342. 11 indexed citations

13.

Liu, Yang, Weihang Li, Sheng Zhong, et al.. (2019). Computational Study of Novel Natural Inhibitors Targeting O6-Methylguanine-DNA Methyltransferase. World Neurosurgery. 130. e294–e306. 16 indexed citations

14.

Zhang, Xin, Jing Luan, Buchang Zhao, et al.. (2018). Shenxian-Shengmai Oral Liquid Reduces Myocardial Oxidative Stress and Protects Myocardium from Ischemia-Reperfusion Injury. Cellular Physiology and Biochemistry. 48(6). 2503–2516. 16 indexed citations

15.

Wang, Xinhui & Alan Parrish. (2015). Loss of α(E)-catenin promotes Fas mediated apoptosis in tubular epithelial cells. APOPTOSIS. 20(7). 921–929. 11 indexed citations

16.

Wang, Xinhui, et al.. (2014). Loss of α(E)-Catenin Potentiates Cisplatin-Induced Nephrotoxicity via Increasing Apoptosis in Renal Tubular Epithelial Cells. Toxicological Sciences. 141(1). 254–262. 13 indexed citations

17.

Sabbatino, Francesco, Yangyang Wang, Xinhui Wang, Soldano Ferrone, & Cristina R. Ferrone. (2013). Emerging BRAF inhibitors for melanoma. Expert Opinion on Emerging Drugs. 18(4). 431–443. 6 indexed citations

18.

Miura, Norimasa, et al.. (2013). Human RGM249 -Derived Small RNAs Potentially Regulate Tumor Malignancy. Nucleic Acid Therapeutics. 23(5). 332–343. 7 indexed citations

19.

Yu, Ling, Elvira Favoino, Yangyang Wang, et al.. (2011). The CSPG4-specific monoclonal antibody enhances and prolongs the effects of the BRAF inhibitor in melanoma cells. Immunologic Research. 50(2-3). 294–302. 33 indexed citations

20.

Wang, Xinhui, Takuya Osada, Yangyang Wang, et al.. (2010). CSPG4 Protein as a New Target for the Antibody-Based Immunotherapy of Triple-Negative Breast Cancer. JNCI Journal of the National Cancer Institute. 102(19). 1496–1512. 153 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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