Xinqi Liu

2.0k total citations · 1 hit paper
61 papers, 1.6k citations indexed

About

Xinqi Liu is a scholar working on Molecular Biology, Immunology and Virology. According to data from OpenAlex, Xinqi Liu has authored 61 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 16 papers in Immunology and 10 papers in Virology. Recurrent topics in Xinqi Liu's work include HIV Research and Treatment (10 papers), interferon and immune responses (7 papers) and Cell death mechanisms and regulation (4 papers). Xinqi Liu is often cited by papers focused on HIV Research and Treatment (10 papers), interferon and immune responses (7 papers) and Cell death mechanisms and regulation (4 papers). Xinqi Liu collaborates with scholars based in China, United States and Japan. Xinqi Liu's co-authors include Shaodong Dai, John W. Kappler, Yanan Zhu, Philippa Marrack, Liangwei Duan, Guo Chen, Zhe Han, Xiaohui Wang, Du Feng and Changqian Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Xinqi Liu

58 papers receiving 1.5k citations

Hit Papers

A Regulatory Signaling Loop Comprising the PGAM5 Phosphat... 2014 2026 2018 2022 2014 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Regulatory Signaling Loop Comprising the PGAM5 Phosphatase and CK2 Controls Receptor-Mediated Mitophagy
    2014 463 citations Guo Chen, Zhe Han et al. Molecular Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinqi Liu China 16 915 479 200 139 125 61 1.6k
Santosh Renuse United States 27 1.2k 1.3× 206 0.4× 154 0.8× 175 1.3× 194 1.6× 73 2.1k
Keisuke Hamada Japan 23 1.2k 1.3× 356 0.7× 329 1.6× 257 1.8× 153 1.2× 89 2.2k
Morten Luhr Norway 9 936 1.0× 1.0k 2.1× 178 0.9× 303 2.2× 119 1.0× 12 1.9k
Alain Grodet France 19 777 0.8× 425 0.9× 186 0.9× 169 1.2× 82 0.7× 27 1.5k
Lichun Wang China 23 860 0.9× 221 0.5× 231 1.2× 211 1.5× 70 0.6× 73 1.5k
Riccardo Vago Italy 22 1.1k 1.3× 247 0.5× 438 2.2× 126 0.9× 99 0.8× 72 2.0k
Junichiro Futami Japan 23 1.1k 1.2× 451 0.9× 281 1.4× 116 0.8× 180 1.4× 63 1.9k
Javad Alizadeh Canada 22 679 0.7× 531 1.1× 134 0.7× 259 1.9× 124 1.0× 36 1.5k
Soumya Panigrahi United States 21 681 0.7× 327 0.7× 387 1.9× 66 0.5× 295 2.4× 37 1.7k

Countries citing papers authored by Xinqi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xinqi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinqi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinqi Liu. A scholar is included among the top collaborators of Xinqi 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 Xinqi Liu. Xinqi Liu 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.
Yin, Zhang, et al.. (2025). VAPB is a negative regulator of STING-mediated innate immune signaling. Science Advances. 11(49). eaea3996–eaea3996. 1 indexed citations
2.
3.
Gao, Yunhuan, Ya Wang, Rong Wang, et al.. (2024). Bile acid derivatives from gut microbiota promote GBPs-mediated activation of caspase-4/11 by LPS through lncRNA57RIK. International Journal of Biological Sciences. 20(15). 5831–5849. 5 indexed citations
4.
5.
Zhang, Yifan, Xinqi Liu, Chang Liu, et al.. (2024). Magnetic domain structures in ultrathin Bi2Te3/CrTe2 heterostructures. Chinese Physics B. 33(8). 87504–87504.
6.
Li, Shuai Cheng, et al.. (2023). HIV-1 p17 matrix protein enhances type I interferon responses through the p17–OLA1–STING axis. Journal of Cell Science. 137(2). 3 indexed citations
7.
Li, Shuai, et al.. (2023). Newly synthesized AIFM1 determines the hypersensitivity of T lymphocytes to STING activation-induced cell apoptosis. Cell Reports. 42(4). 112327–112327. 7 indexed citations
8.
Sun, Xiaowei, Wenyue Zheng, Rui Hua, et al.. (2021). Macropinocytosis and SARS-CoV-2 cell entry. 5(1). 1–12. 2 indexed citations
9.
Liu, Xinqi, et al.. (2021). ALG2 regulates type I interferon responses by inhibiting STING trafficking. Journal of Cell Science. 134(24). 9 indexed citations
10.
Xie, Wei, Mingzhen Chen, Hongjie Li, et al.. (2021). HIV-1 exposure promotes PKG1-mediated phosphorylation and degradation of stathmin to increase epithelial barrier permeability. Journal of Biological Chemistry. 296. 100644–100644. 11 indexed citations
11.
Wu, Yanying, et al.. (2021). Abscisic acid employs NRP‐dependent PIN2 vacuolar degradation to suppress auxin‐mediated primary root elongation in Arabidopsis. New Phytologist. 233(1). 297–312. 13 indexed citations
12.
Zhang, Shuai, Junqi Zhang, Guiping Wang, et al.. (2021). The Hippo signaling component LATS2 enhances innate immunity to inhibit HIV-1 infection through PQBP1-cGAS pathway. Cell Death and Differentiation. 29(1). 192–205. 12 indexed citations
13.
14.
Yang, Xin, et al.. (2020). ALG2 Influences T cell apoptosis by regulating FASLG intracellular transportation. Biochemical Journal. 477(16). 3105–3121. 8 indexed citations
15.
Zhang, Junqi, et al.. (2020). ALG-2 couples T cell activation and apoptosis by regulating proteasome activity and influencing MCL1 stability. Cell Death and Disease. 11(1). 5–5. 13 indexed citations
16.
Li, Lian, et al.. (2019). Structural and functional study of FK domain of Fstl1. Protein Science. 28(10). 1819–1829. 17 indexed citations
17.
Lu, Jing, et al.. (2018). Insulin-induced gene 1 (INSIG1) inhibits HIV-1 production by degrading Gag via activity of the ubiquitin ligase TRC8. Journal of Biological Chemistry. 294(6). 2046–2059. 5 indexed citations
18.
Duan, Liangwei, et al.. (2016). Structural and functional characterization of EIAV gp45 fusion peptide proximal region and asparagine-rich layer. Virology. 491. 64–72. 4 indexed citations
19.
Chen, Guo, Zhe Han, Du Feng, et al.. (2014). A Regulatory Signaling Loop Comprising the PGAM5 Phosphatase and CK2 Controls Receptor-Mediated Mitophagy. Molecular Cell. 54(3). 362–377. 463 indexed citations breakdown →
20.
Ma, Jing, Fang Liu, Jianhua Zhou, et al.. (2013). The crystal structure of HIV CRF07 B′/C gp41 reveals a hyper-mutant site in the middle of HR2 heptad repeat. Virology. 446(1-2). 86–94. 5 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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