Xinhui Fu

1.6k total citations
40 papers, 1.2k citations indexed

About

Xinhui Fu is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Xinhui Fu has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 20 papers in Molecular Biology and 17 papers in Pathology and Forensic Medicine. Recurrent topics in Xinhui Fu's work include Genetic factors in colorectal cancer (15 papers), Colorectal Cancer Treatments and Studies (11 papers) and Colorectal Cancer Screening and Detection (6 papers). Xinhui Fu is often cited by papers focused on Genetic factors in colorectal cancer (15 papers), Colorectal Cancer Treatments and Studies (11 papers) and Colorectal Cancer Screening and Detection (6 papers). Xinhui Fu collaborates with scholars based in China, United States and Canada. Xinhui Fu's co-authors include Xiaohui Huang, Hao‐Xiang Tan, Jingsong Chen, Jiong Bi, Xilin Chen, Lianzhou Chen, Wen Li, Liangqi Cao, L. Zhang and Qian Wang and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Free Radical Biology and Medicine.

In The Last Decade

Xinhui Fu

36 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinhui Fu China 20 793 448 366 214 119 40 1.2k
Mingsheng Zhang China 13 584 0.7× 240 0.5× 392 1.1× 139 0.6× 186 1.6× 29 1.1k
Xiao Qi Wang Hong Kong 22 1.1k 1.3× 394 0.9× 629 1.7× 93 0.4× 132 1.1× 33 1.5k
Chungang Liu China 19 822 1.0× 375 0.8× 352 1.0× 74 0.3× 88 0.7× 29 1.2k
Danhui Weng China 22 926 1.2× 471 1.1× 492 1.3× 113 0.5× 79 0.7× 41 1.5k
Ming-hua Zhu China 21 833 1.1× 461 1.0× 289 0.8× 105 0.5× 83 0.7× 50 1.2k
Şerif Şentürk Türkiye 16 796 1.0× 246 0.5× 295 0.8× 82 0.4× 101 0.8× 38 1.2k
Pia Herrmann Germany 18 665 0.8× 236 0.5× 443 1.2× 202 0.9× 104 0.9× 31 1.1k
Jia Zhu China 17 882 1.1× 654 1.5× 271 0.7× 104 0.5× 59 0.5× 31 1.3k
Junhong Zhao China 19 805 1.0× 469 1.0× 244 0.7× 93 0.4× 120 1.0× 32 1.2k
C C Bancroft United States 6 774 1.0× 400 0.9× 503 1.4× 85 0.4× 115 1.0× 6 1.2k

Countries citing papers authored by Xinhui Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xinhui Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinhui Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinhui Fu. A scholar is included among the top collaborators of Xinhui Fu 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 Fu. Xinhui Fu 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.
2.
Zhang, Jian, Quan Li, Jing Cui, Xinhui Fu, & Geng Tian. (2025). Specificity protein 1 suppresses prohibitin 1 to induce macrophage M1 polarization and impair phagocytosis, exacerbating sepsis-associated acute lung injury. Free Radical Biology and Medicine. 237. 473–490.
3.
Fu, Xinhui, Jinglin Huang, Xinjuan Fan, et al.. (2024). Prognosis and immunotherapy efficacy in dMMR&MSS colorectal cancer patients and an MSI status predicting model. International Journal of Cancer. 155(4). 766–775. 5 indexed citations
4.
5.
Liu, Jiang, Xinhui Fu, Qiao Li, et al.. (2024). A novel comprehensive metric balancing imaging dose and setup accuracy in image-guided radiotherapy: concept proposal and clinical validation. Frontiers in Oncology. 14. 1463219–1463219.
6.
Fan, Xinjuan, Jinglin Huang, Jiaxin Zou, et al.. (2023). Testing region selection and prognostic analysis of MLH1 promoter methylation in colorectal cancer in China. Gastroenterology report. 12. goae011–goae011. 2 indexed citations
7.
Fu, Xinhui, Jinglin Huang, Xinjuan Fan, et al.. (2023). Head-to-head comparative study: evaluating three panels for MSI-PCR testing in patients with colorectal and gastric cancer. Journal of Clinical Pathology. 77(10). 683–689. 1 indexed citations
8.
Fu, Xinhui, et al.. (2021). The Spectrum, Tendency and Predictive Value of PIK3CA Mutation in Chinese Colorectal Cancer Patients. Frontiers in Oncology. 11. 595675–595675. 8 indexed citations
9.
Yu, Huichuan, Qi Zou, Zenghong Huang, et al.. (2020). <p>Nomograms for Prediction of Molecular Phenotypes in Colorectal Cancer</p>. OncoTargets and Therapy. Volume 13. 309–321. 5 indexed citations
10.
Luo, Qianxin, Dianke Chen, Xinjuan Fan, et al.. (2020). KRAS and PIK3CA bi-mutations predict a poor prognosis in colorectal cancer patients: A single-site report. Translational Oncology. 13(12). 100874–100874. 25 indexed citations
11.
Wang, Jianwei, Rong Lu, Xinhui Fu, et al.. (2018). Novel Regulatory Roles of Wnt1 in Infection-Associated Colorectal Cancer. Neoplasia. 20(5). 499–509. 36 indexed citations
12.
Fu, Xinhui, Chujun Li, Shan Wu, et al.. (2017). Stool DNA Test of Methylated Syndecan-2 for the Early Detection of Colorectal Neoplasia. Cancer Epidemiology Biomarkers & Prevention. 26(9). 1411–1419. 69 indexed citations
13.
Li, Jiang, Meijin Huang, Lei Wang, et al.. (2013). Overexpression of MEKK2 is associated with colorectal carcinogenesis. Oncology Letters. 6(5). 1333–1337. 8 indexed citations
14.
Chen, Dianke, Jiachun Lü, Yanxin Luo, et al.. (2011). Functional variants of -1318T > G and -673C > T in c-Jun promoter region associated with increased colorectal cancer risk by elevating promoter activity. Carcinogenesis. 32(7). 1043–1049. 9 indexed citations
15.
Chen, Dianke, Jiachun Lü, Jiawei Liao, et al.. (2011). NFκB1 and NFκBIA Polymorphisms Are Associated with Increased Risk for Sporadic Colorectal Cancer in a Southern Chinese Population. PLoS ONE. 6(6). e21726–e21726. 64 indexed citations
16.
Rao, Benqiang, Yuanhong Gao, Jun Huang, et al.. (2011). Mutations of p53 and K-ras correlate TF expression in human colorectal carcinomas: TF downregulation as a marker of poor prognosis. International Journal of Colorectal Disease. 26(5). 593–601. 46 indexed citations
17.
Fu, Xinhui, Qian Wang, Jingsong Chen, et al.. (2010). Clinical significance of miR-221 and its inverse correlation with p27Kip1 in hepatocellular carcinoma. Molecular Biology Reports. 38(5). 3029–3035. 62 indexed citations
18.
Chen, Jingsong, Qian Wang, Xinhui Fu, et al.. (2009). Involvement of PI3K/PTEN/AKT/mTOR pathway in invasion and metastasis in hepatocellular carcinoma: Association with MMP‐9. Hepatology Research. 39(2). 177–186. 292 indexed citations
19.
Tan, Hao‐Xiang, Qian Wang, Lianzhou Chen, et al.. (2009). MicroRNA-9 reduces cell invasion and E-cadherin secretion in SK-Hep-1 cell. Medical Oncology. 27(3). 654–660. 76 indexed citations
20.
Fu, Xinhui, Qian Wang, Xilin Chen, et al.. (2008). Expression patterns and polymorphisms of PTCH in Chinese hepatocellular carcinoma patients. Experimental and Molecular Pathology. 84(3). 195–199. 11 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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