Daxing Xu

463 total citations
11 papers, 330 citations indexed

About

Daxing Xu is a scholar working on Molecular Biology, Nephrology and Infectious Diseases. According to data from OpenAlex, Daxing Xu has authored 11 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Nephrology and 3 papers in Infectious Diseases. Recurrent topics in Daxing Xu's work include Gout, Hyperuricemia, Uric Acid (6 papers), Clostridium difficile and Clostridium perfringens research (3 papers) and Gut microbiota and health (3 papers). Daxing Xu is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (6 papers), Clostridium difficile and Clostridium perfringens research (3 papers) and Gut microbiota and health (3 papers). Daxing Xu collaborates with scholars based in China and United Kingdom. Daxing Xu's co-authors include Qiulan Lv, Shichao Xing, Xiaomin Yang, Guanpin Yang, Guangtao Wang, Xiu Liu, Peng Zhao, Zenglan Wang, Pengjun Wang and Peng Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Journal of Applied Polymer Science.

In The Last Decade

Daxing Xu

10 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daxing Xu China 8 211 141 59 55 44 11 330
Yunbing Chang China 8 53 0.3× 123 0.9× 40 0.7× 27 0.5× 21 0.5× 9 409
Robert D. Thurston United States 8 84 0.4× 187 1.3× 35 0.6× 13 0.2× 33 0.8× 8 484
Zhen Zeng China 10 41 0.2× 151 1.1× 17 0.3× 20 0.4× 65 1.5× 24 392
Xinglong Zhong China 7 84 0.4× 202 1.4× 41 0.7× 6 0.1× 31 0.7× 11 434
Bo Lin China 11 92 0.4× 78 0.6× 19 0.3× 8 0.1× 32 0.7× 33 245
Changxiang Liang China 9 52 0.2× 111 0.8× 61 1.0× 27 0.5× 19 0.4× 16 320
Puxun Tian China 12 69 0.3× 120 0.9× 25 0.4× 12 0.2× 22 0.5× 36 346
Shun Wu China 12 44 0.2× 98 0.7× 24 0.4× 9 0.2× 36 0.8× 44 362
Sameen Fatima Germany 9 92 0.4× 103 0.7× 18 0.3× 6 0.1× 38 0.9× 16 326
Muhammad Zaeem China 9 43 0.2× 215 1.5× 34 0.6× 9 0.2× 48 1.1× 10 369

Countries citing papers authored by Daxing Xu

Since Specialization
Citations

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

Fields of papers citing papers by Daxing Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daxing Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Daxing Xu. A scholar is included among the top collaborators of Daxing Xu 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 Daxing Xu. Daxing Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Jiao, Meng, Wei Qian, Zhenkun Yang, et al.. (2024). p53/E2F7 axis promotes temozolomide chemoresistance in glioblastoma multiforme. BMC Cancer. 24(1). 317–317. 7 indexed citations
3.
Jin, Meng, Qiulan Lv, Aihua Sui, et al.. (2021). Hyperuricemia induces lipid disturbances by upregulating the CXCL-13 pathway. American Journal of Physiology-Gastrointestinal and Liver Physiology. 322(2). G256–G267. 6 indexed citations
4.
Gong, Lingli, et al.. (2021). TGF-β links glycolysis and immunosuppression in glioblastoma.. PubMed. 36(11). 1111–1124. 20 indexed citations
5.
Lv, Qiulan, Daxing Xu, Xuezhi Zhang, et al.. (2020). Association of Hyperuricemia With Immune Disorders and Intestinal Barrier Dysfunction. Frontiers in Physiology. 11. 524236–524236. 63 indexed citations
6.
Lv, Qiulan, Daxing Xu, Yan Wang, et al.. (2020). Uric acid drives intestinal barrier dysfunction through TSPO-mediated NLRP3 inflammasome activation. Inflammation Research. 70(1). 127–137. 31 indexed citations
7.
Ma, Chunling, Xiaomin Yang, Qiulan Lv, et al.. (2020). Soluble uric acid induces inflammation via TLR4/NLRP3 pathway in intestinal epithelial cells.. SHILAP Revista de lepidopterología. 23(6). 744–750. 17 indexed citations
8.
Liu, Xiu, Qiulan Lv, Hongyan Ren, et al.. (2020). The altered gut microbiota of high-purine-induced hyperuricemia rats and its correlation with hyperuricemia. PeerJ. 8. e8664–e8664. 85 indexed citations
9.
Xu, Daxing, Qiulan Lv, Peng Zhao, et al.. (2019). Hyperuricemia is associated with impaired intestinal permeability in mice. American Journal of Physiology-Gastrointestinal and Liver Physiology. 317(4). G484–G492. 68 indexed citations
10.
Wang, Pengjun, Yang Liu, Liqiu Wang, et al.. (2019). One‐step synthesis of hydrophilic graphene‐Fe3O4‐PVA composite film: Micromorphology and performance. Journal of Applied Polymer Science. 136(44). 4 indexed citations
11.
Wang, Pengjun, Tengbo Yu, Qiulan Lv, et al.. (2018). Fabrication of hydroxyapatite/hydrophilic graphene composites and their modulation to cell behavior toward bone reconstruction engineering. Colloids and Surfaces B Biointerfaces. 173. 512–520. 29 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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