Mengxuan Xia

1.1k total citations · 1 hit paper
9 papers, 668 citations indexed

About

Mengxuan Xia is a scholar working on Molecular Biology, Cancer Research and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mengxuan Xia has authored 9 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mengxuan Xia's work include RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (3 papers) and Acute Lymphoblastic Leukemia research (2 papers). Mengxuan Xia is often cited by papers focused on RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (3 papers) and Acute Lymphoblastic Leukemia research (2 papers). Mengxuan Xia collaborates with scholars based in China. Mengxuan Xia's co-authors include An‐Yuan Guo, Qiong Zhang, Ya‐Ru Miao, Gui‐Yan Xie, Hongmei Zhang, Mei Luo, Chunjie Liu, Tao Luo, Zhifeng Gu and Xin Fu and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Cells.

In The Last Decade

Mengxuan Xia

9 papers receiving 659 citations

Hit Papers

hTFtarget: A Comprehensive Database for Regulations of Hu... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mengxuan Xia China 8 448 220 120 110 87 9 668
Si Yang China 17 455 1.0× 206 0.9× 51 0.4× 109 1.0× 95 1.1× 43 702
Ting Gong China 13 384 0.9× 178 0.8× 110 0.9× 84 0.8× 89 1.0× 29 644
Laura D’Ignazio United Kingdom 8 273 0.6× 283 1.3× 159 1.3× 83 0.8× 68 0.8× 10 641
Natalya V. Guseva United States 18 509 1.1× 186 0.8× 109 0.9× 196 1.8× 131 1.5× 37 764
Javier Cotignola Argentina 15 331 0.7× 137 0.6× 83 0.7× 69 0.6× 128 1.5× 32 568
Ting Sun China 12 428 1.0× 225 1.0× 93 0.8× 44 0.4× 138 1.6× 19 611
Yuan Ma China 13 380 0.8× 179 0.8× 95 0.8× 57 0.5× 98 1.1× 19 584
Kai Fang China 14 572 1.3× 428 1.9× 66 0.6× 91 0.8× 102 1.2× 40 728
Takumi Konno Japan 16 334 0.7× 147 0.7× 70 0.6× 90 0.8× 88 1.0× 54 656
Christin Dewitz Germany 8 366 0.8× 146 0.7× 194 1.6× 174 1.6× 102 1.2× 8 608

Countries citing papers authored by Mengxuan Xia

Since Specialization
Citations

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

Fields of papers citing papers by Mengxuan Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengxuan Xia

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

All Works

9 of 9 papers shown
2.
Miao, Ya‐Ru, et al.. (2021). ImmuCellAI-mouse: a tool for comprehensive prediction of mouse immune cell abundance and immune microenvironment depiction. Bioinformatics. 38(3). 785–791. 101 indexed citations
3.
Liu, Chunjie, Gui‐Yan Xie, Ya‐Ru Miao, et al.. (2021). EVAtlas: a comprehensive database for ncRNA expression in human extracellular vesicles. Nucleic Acids Research. 50(D1). D111–D117. 46 indexed citations
4.
Zhang, Qiong, Hongmei Zhang, Gui‐Yan Xie, et al.. (2020). hTFtarget: A Comprehensive Database for Regulations of Human Transcription Factors and Their Targets. Genomics Proteomics & Bioinformatics. 18(2). 120–128. 330 indexed citations breakdown →
5.
Liu, Chunjie, Xin Fu, Mengxuan Xia, et al.. (2020). miRNASNP-v3: a comprehensive database for SNPs and disease-related variations in miRNAs and miRNA targets. Nucleic Acids Research. 49(D1). D1276–D1281. 88 indexed citations
6.
Xia, Mengxuan, Qiong Zhang, Mei Luo, et al.. (2019). Regulatory network analysis reveals the oncogenesis roles of feed-forward loops and therapeutic target in T-cell acute lymphoblastic leukemia. BMC Medical Genomics. 12(1). 8–8. 6 indexed citations
7.
Xie, Gui‐Yan, Mengxuan Xia, Ya‐Ru Miao, et al.. (2019). FFLtool: a web server for transcription factor and miRNA feed forward loop analysis in human. Bioinformatics. 36(8). 2605–2607. 29 indexed citations
8.
Xia, Mengxuan, Chunjie Liu, Qiong Zhang, & An‐Yuan Guo. (2019). GEDS: A Gene Expression Display Server for mRNAs, miRNAs and Proteins. Cells. 8(7). 675–675. 17 indexed citations
9.
Luo, Mei, Qiong Zhang, Mengxuan Xia, et al.. (2018). Differential Co-expression and Regulatory Network Analysis Uncover the Relapse Factor and Mechanism of T Cell Acute Leukemia. Molecular Therapy — Nucleic Acids. 12. 184–194. 18 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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