Xiaoyu Luo

1.9k total citations
27 papers, 944 citations indexed

About

Xiaoyu Luo is a scholar working on Immunology, Virology and Molecular Biology. According to data from OpenAlex, Xiaoyu Luo has authored 27 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 12 papers in Virology and 6 papers in Molecular Biology. Recurrent topics in Xiaoyu Luo's work include HIV Research and Treatment (12 papers), Immune Cell Function and Interaction (12 papers) and T-cell and B-cell Immunology (8 papers). Xiaoyu Luo is often cited by papers focused on HIV Research and Treatment (12 papers), Immune Cell Function and Interaction (12 papers) and T-cell and B-cell Immunology (8 papers). Xiaoyu Luo collaborates with scholars based in United States, China and Japan. Xiaoyu Luo's co-authors include Warner C. Greene, Nadia R. Roan, Johnny J. He, Jason Neidleman, Xiangjun Meng, Sulggi A. Lee, Matthew McGregor, Guorui Xie, Ashley F. George and Kazuhiro Tsukada and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Xiaoyu Luo

24 papers receiving 935 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyu Luo United States 15 319 288 194 171 153 27 944
Julia Roider Germany 12 328 1.0× 119 0.4× 250 1.3× 108 0.6× 64 0.4× 34 769
Luisa Gennero Italy 13 137 0.4× 172 0.6× 121 0.6× 88 0.5× 26 0.2× 23 621
Germana Grassi Italy 13 122 0.4× 277 1.0× 133 0.7× 152 0.9× 49 0.3× 28 684
Earl A. Gage United States 8 318 1.0× 227 0.8× 973 5.0× 312 1.8× 51 0.3× 10 1.7k
Eleonora Lauri Italy 13 197 0.6× 106 0.4× 136 0.7× 134 0.8× 105 0.7× 18 675
Susan S. Kaplan United States 12 208 0.7× 482 1.7× 83 0.4× 165 1.0× 19 0.1× 26 984
Sachin Gupta United States 17 102 0.3× 122 0.4× 314 1.6× 181 1.1× 113 0.7× 47 961
Shima Shahbaz Canada 20 243 0.8× 187 0.6× 420 2.2× 44 0.3× 138 0.9× 33 861
Robert Santoianni United States 12 269 0.8× 344 1.2× 51 0.3× 99 0.6× 15 0.1× 18 796
Daniel Fremgen United States 8 217 0.7× 348 1.2× 571 2.9× 380 2.2× 70 0.5× 9 1.1k

Countries citing papers authored by Xiaoyu Luo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyu Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyu Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyu Luo. A scholar is included among the top collaborators of Xiaoyu Luo 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 Xiaoyu Luo. Xiaoyu Luo 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.
Luo, Xiaoyu, Cheuk Chi Albert Ng, Henry Lam, & Zhong‐Ping Yao. (2025). Advances in protein sequencing: Techniques, challenges and prospects. TrAC Trends in Analytical Chemistry. 191. 118341–118341.
3.
Packard, Thomas, Roland Schwarzer, Eytan Herzig, et al.. (2022). CCL2: a Chemokine Potentially Promoting Early Seeding of the Latent HIV Reservoir. mBio. 13(5). e0189122–e0189122. 12 indexed citations
4.
Luo, Xiaoyu, et al.. (2022). Nef inhibits HIV transcription and gene expression in astrocytes and HIV transmission from astrocytes to CD4+ T cells. Journal of NeuroVirology. 28(4-6). 552–565. 4 indexed citations
5.
George, Ashley F., Xiaoyu Luo, Jason Neidleman, et al.. (2022). Deep Phenotypic Analysis of Blood and Lymphoid T and NK Cells From HIV+ Controllers and ART-Suppressed Individuals. Frontiers in Immunology. 13. 803417–803417. 10 indexed citations
6.
Luo, Xiaoyu, Julie Frouard, Gang Zhang, et al.. (2022). Subsets of Tissue CD4 T Cells Display Different Susceptibilities to HIV Infection and Death: Analysis by CyTOF and Single Cell RNA-seq. Frontiers in Immunology. 13. 883420–883420. 4 indexed citations
7.
Neidleman, Jason, Xiaoyu Luo, Ashley F. George, et al.. (2021). Distinctive features of SARS-CoV-2-specific T cells predict recovery from severe COVID-19. Cell Reports. 36(3). 109414–109414. 58 indexed citations
8.
Luo, Xiaoyu, Hugo Mouquet, Olivier Schwartz, & Warner C. Greene. (2021). Bystander CD4 T-cell death is inhibited by broadly neutralizing anti-HIV antibodies only at levels blocking cell-to-cell viral transmission. Journal of Biological Chemistry. 297(4). 101098–101098. 3 indexed citations
9.
10.
Xie, Guorui, Xiaoyu Luo, Tongcui Ma, et al.. (2021). Characterization of HIV-induced remodeling reveals differences in infection susceptibility of memory CD4+ T cell subsets in vivo. Cell Reports. 35(4). 109038–109038. 12 indexed citations
11.
Hou, Yichao, Qingwei Zhang, Wenjing Pang, et al.. (2021). YTHDC1-mediated augmentation of miR-30d in repressing pancreatic tumorigenesis via attenuation of RUNX1-induced transcriptional activation of Warburg effect. Cell Death and Differentiation. 28(11). 3105–3124. 125 indexed citations
12.
Ma, Tongcui, Xiaoyu Luo, Ashley F. George, et al.. (2020). HIV efficiently infects T cells from the endometrium and remodels them to promote systemic viral spread. eLife. 9. 28 indexed citations
13.
Frouard, Julie, Andrea Gramatica, Guorui Xie, et al.. (2020). Tissue memory CD4+ T cells expressing IL-7 receptor-alpha (CD127) preferentially support latent HIV-1 infection. PLoS Pathogens. 16(4). e1008450–e1008450. 26 indexed citations
14.
Neidleman, Jason, Xiaoyu Luo, Julie Frouard, et al.. (2020). SARS-CoV-2-Specific T Cells Exhibit Phenotypic Features of Helper Function, Lack of Terminal Differentiation, and High Proliferation Potential. Cell Reports Medicine. 1(6). 100081–100081. 126 indexed citations
15.
Chen, Yunlong, et al.. (2020). Administration of umbilical cord mesenchymal stem cells in patients with severe COVID-19 pneumonia. Critical Care. 24(1). 420–420. 53 indexed citations
16.
Luo, Xiaoyu, Xiangjun Meng, Wei Wang, et al.. (2019). Transplantation of bone marrow mesenchymal stromal cells attenuates liver fibrosis in mice by regulating macrophage subtypes. Stem Cell Research & Therapy. 10(1). 16–16. 76 indexed citations
17.
Zhou, Kun, et al.. (2017). MicroRNA-30a suppresses tumor progression by blocking Ras/Raf/MEK/ERK signaling pathway in hepatocellular carcinoma. Biomedicine & Pharmacotherapy. 93. 1025–1032. 29 indexed citations
18.
Luo, Xiaoyu, et al.. (2015). Exosomes Are Unlikely Involved in Intercellular Nef Transfer. PLoS ONE. 10(4). e0124436–e0124436. 29 indexed citations
19.
Luo, Xiaoyu & Johnny J. He. (2014). Cell–cell contact viral transfer contributes to HIV infection and persistence in astrocytes. Journal of NeuroVirology. 21(1). 66–80. 43 indexed citations
20.
Luo, Xiaoyu, Terumi Takahara, Kengo Kawai, et al.. (2011). Theaflavin attenuates ischemia–reperfusion injury in a mouse fatty liver model. Biochemical and Biophysical Research Communications. 417(1). 287–293. 37 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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