Xingxia Liu

667 total citations
11 papers, 538 citations indexed

About

Xingxia Liu is a scholar working on Genetics, Immunology and Molecular Biology. According to data from OpenAlex, Xingxia Liu has authored 11 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 6 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Xingxia Liu's work include Mesenchymal stem cell research (6 papers), Immunotherapy and Immune Responses (3 papers) and RNA Interference and Gene Delivery (3 papers). Xingxia Liu is often cited by papers focused on Mesenchymal stem cell research (6 papers), Immunotherapy and Immune Responses (3 papers) and RNA Interference and Gene Delivery (3 papers). Xingxia Liu collaborates with scholars based in China, Germany and Canada. Xingxia Liu's co-authors include Robert Chunhua Zhao, Kai Cheng, Xuebin Qu, Martin Zenke, Lianming Liao, Wei Liang, Xiaowei Dou, Rui Liu, Chunhua Lu and Chen Yuan and has published in prestigious journals such as Blood, The Journal of Immunology and Scientific Reports.

In The Last Decade

Xingxia Liu

10 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingxia Liu China 8 338 174 154 106 80 11 538
Fengping Wu China 7 86 0.3× 124 0.7× 149 1.0× 55 0.5× 52 0.7× 10 480
Jana Pindjáková Czechia 9 173 0.5× 129 0.7× 178 1.2× 106 1.0× 56 0.7× 12 501
Wei Rao China 10 160 0.5× 85 0.5× 290 1.9× 96 0.9× 50 0.6× 25 555
Patricia Flores-Guzmán Mexico 14 283 0.8× 107 0.6× 167 1.1× 74 0.7× 43 0.5× 27 548
Ulrich Rochwalsky Germany 5 123 0.4× 100 0.6× 461 3.0× 115 1.1× 142 1.8× 8 626
Declan Doherty United Kingdom 10 212 0.6× 118 0.7× 295 1.9× 103 1.0× 43 0.5× 18 672
Yunxian Chen China 12 97 0.3× 90 0.5× 183 1.2× 79 0.7× 73 0.9× 39 469
Huahua Fan China 14 79 0.2× 198 1.1× 182 1.2× 48 0.5× 56 0.7× 27 444
Kangni Wu China 11 86 0.3× 106 0.6× 113 0.7× 31 0.3× 82 1.0× 20 368
Ravi Medikonda United States 10 170 0.5× 170 1.0× 138 0.9× 67 0.6× 186 2.3× 33 534

Countries citing papers authored by Xingxia Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xingxia Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingxia Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xingxia Liu. A scholar is included among the top collaborators of Xingxia Liu 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 Xingxia Liu. Xingxia Liu 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
1.
Liu, Xingxia, Lijun Zhang, & Jianan Sun. (2024). Numerical Analysis of the Discrete MRLW Equation for a Nonlinear System Using the Cubic B-Spline Collocation Method. Symmetry. 16(4). 438–438.
2.
Wang, Xiang, et al.. (2020). Pure single-mode Rayleigh-Taylor instability for arbitrary Atwood numbers. Scientific Reports. 10(1). 4201–4201. 8 indexed citations
4.
Zhang, Fan, Xingxia Liu, Fan Zhang, et al.. (2018). Qualitative and quantitative analysis of catechin and quercetin in flavonoids extracted from<i> Rosa roxburghii</i> Tratt. Tropical Journal of Pharmaceutical Research. 17(1). 71–71. 20 indexed citations
5.
Xu, Ping, Xingxia Liu, Xiwen Xiong, et al.. (2017). Flavonoids of Rosa roxburghii Tratt Exhibit Anti‐Apoptosis Properties by Regulating PARP‐1/AIF. Journal of Cellular Biochemistry. 118(11). 3943–3952. 26 indexed citations
6.
Liu, Xingxia, et al.. (2015). Mesenchymal stem cells inhibit Th17 cells differentiation via IFN-γ-mediated SOCS3 activation. Immunologic Research. 61(3). 219–229. 43 indexed citations
7.
Liu, Xingxia, Shaoda Ren, Kai Cheng, et al.. (2015). Sca-1+Lin−CD117− Mesenchymal Stem/Stromal Cells Induce the Generation of Novel IRF8-Controlled Regulatory Dendritic Cells through Notch–RBP-J Signaling. The Journal of Immunology. 194(9). 4298–4308. 24 indexed citations
8.
Qu, Xuebin, Xingxia Liu, Kai Cheng, Rongcun Yang, & Robert Chunhua Zhao. (2012). Mesenchymal stem cells inhibit Th17 cell differentiation by IL-10 secretion. Experimental Hematology. 40(9). 761–770. 94 indexed citations
9.
Liu, Xingxia, Xuebin Qu, Yuan Chen, et al.. (2012). Mesenchymal Stem/Stromal Cells Induce the Generation of Novel IL-10–Dependent Regulatory Dendritic Cells by SOCS3 Activation. The Journal of Immunology. 189(3). 1182–1192. 69 indexed citations
10.
Zhang, Bin, Rui Liu, Dan Shi, et al.. (2008). Mesenchymal stem cells induce mature dendritic cells into a novel Jagged-2–dependent regulatory dendritic cell population. Blood. 113(1). 46–57. 247 indexed citations
11.
Zhang, Liping, et al.. (2002). [Effects of HLA disparity of two umbilical cord blood units on human engraftment in SCID mice].. PubMed. 23(12). 624–7. 1 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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