Xiaoye Liang

1.2k total citations
34 papers, 841 citations indexed

About

Xiaoye Liang is a scholar working on Endocrinology, Molecular Biology and Molecular Medicine. According to data from OpenAlex, Xiaoye Liang has authored 34 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Endocrinology, 10 papers in Molecular Biology and 8 papers in Molecular Medicine. Recurrent topics in Xiaoye Liang's work include Vibrio bacteria research studies (23 papers), Escherichia coli research studies (12 papers) and Antibiotic Resistance in Bacteria (8 papers). Xiaoye Liang is often cited by papers focused on Vibrio bacteria research studies (23 papers), Escherichia coli research studies (12 papers) and Antibiotic Resistance in Bacteria (8 papers). Xiaoye Liang collaborates with scholars based in China, Canada and United States. Xiaoye Liang's co-authors include Tao Dong, Richard A. Moore, Linh Lam, John J. Mekalanos, Tong‐Tong Pei, Mike Wilton, Ping Xu, Brianne J. Burkinshaw, Hao Li and Fatima Kamal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Xiaoye Liang

29 papers receiving 836 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoye Liang China 14 536 279 254 179 84 34 841
Saemee Song South Korea 14 174 0.3× 306 1.1× 294 1.2× 260 1.5× 94 1.1× 29 1.0k
Jennifer K. Teschler United States 10 482 0.9× 107 0.4× 435 1.7× 120 0.7× 122 1.5× 13 730
Kim Lee Chua Singapore 20 195 0.4× 362 1.3× 579 2.3× 168 0.9× 73 0.9× 25 1.2k
Weiquan Wang China 15 113 0.2× 118 0.4× 295 1.2× 86 0.5× 190 2.3× 47 645
Claudine Baraquet France 12 203 0.4× 128 0.5× 663 2.6× 340 1.9× 151 1.8× 16 850
Evan D. Brutinel United States 17 294 0.5× 217 0.8× 499 2.0× 255 1.4× 96 1.1× 19 1.0k
Michael J. Capeness United Kingdom 14 246 0.5× 102 0.4× 396 1.6× 192 1.1× 191 2.3× 17 747
Karen Otto Sweden 8 206 0.4× 74 0.3× 437 1.7× 197 1.1× 130 1.5× 11 737
Eva Brombacher Switzerland 8 367 0.7× 75 0.3× 591 2.3× 268 1.5× 147 1.8× 8 918
Henrik Almblad United States 7 191 0.4× 187 0.7× 626 2.5× 257 1.4× 144 1.7× 10 822

Countries citing papers authored by Xiaoye Liang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoye Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoye Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoye Liang. A scholar is included among the top collaborators of Xiaoye Liang 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 Xiaoye Liang. Xiaoye Liang 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.
Pei, Tong‐Tong, Xingyu Wang, Yiqiu Zhang, et al.. (2025). TssW-PpkA-Fha axis controls the positioning and initiation of the type VI secretion system in Acidovorax citrulli. mBio. 16(11). e0187925–e0187925.
2.
Pei, Tong‐Tong, et al.. (2025). Not just passengers: effectors contribute to the assembly of the type VI secretion system as structural building blocks. Journal of Bacteriology. 207(3). e0045524–e0045524. 2 indexed citations
5.
Pei, Tong‐Tong, Xingyu Wang, Yiqiu Zhang, et al.. (2025). Fha initiates the inside-out assembly of the type VI secretion system. Cell Reports. 44(7). 115990–115990. 1 indexed citations
6.
An, Ying, Ting Zhao, Tong‐Tong Pei, et al.. (2024). Amidase and lysozyme dual functions in TseP reveal a new family of chimeric effectors in the type VI secretion system. eLife. 13. 1 indexed citations
7.
Pei, Tong‐Tong, Han Luo, Yuanyuan Wang, et al.. (2024). Filamentous prophage Pf4 promotes genetic exchange in Pseudomonas aeruginosa. The ISME Journal. 18(1). 6 indexed citations
9.
Wu, Lili, Shuangquan Yan, Tong‐Tong Pei, et al.. (2023). A Dueling-Competent Signal-Sensing Module Guides Precise Delivery of Cargo Proteins into Target Cells by Engineered Pseudomonas aeruginosa. ACS Synthetic Biology. 12(2). 360–368. 1 indexed citations
10.
Zhang, Haiyang, Xiaoxiao Sun, Dehong Tan, et al.. (2023). Mesoporous silica-encapsulated Co-doped ceria nanodots with enhanced peroxidase-like activity enable intensive and long-lasting chemiluminescence for glutathione detection. Sensors and Actuators B Chemical. 383. 133609–133609. 13 indexed citations
11.
Liang, Xiaoye, et al.. (2023). On association schemes generated by a relation or an idempotent. Linear Algebra and its Applications. 670. 1–18. 1 indexed citations
12.
Sun, Xiaoxiao, Xiaoye Liang, Peng‐Cheng Ma, et al.. (2023). A tumor microenvironment-activatable nanoplatform with phycocyanin-assisted in-situ nanoagent generation for synergistic treatment of colorectal cancer. Biomaterials. 301. 122263–122263. 32 indexed citations
13.
Chen, Lianglong, Haiyang Zhang, Xiaoye Liang, & Lingling Li. (2023). Dual-responsive persistent luminescence nanoflowers for glutathione detection and imaging. Sensors and Actuators B Chemical. 403. 135200–135200. 7 indexed citations
14.
Lin, Yucai, Feng Chen, Wen Yang, et al.. (2022). Bioinspired self-stratification fouling release silicone coating with strong adhesion to substrate. Chemical Engineering Journal. 446. 137043–137043. 54 indexed citations
15.
Liang, Xiaoye, Tong‐Tong Pei, Hao Li, et al.. (2021). VgrG-dependent effectors and chaperones modulate the assembly of the type VI secretion system. PLoS Pathogens. 17(12). e1010116–e1010116. 30 indexed citations
16.
Stietz, María Silvina, Xiaoye Liang, Hao Li, Xinran Zhang, & Tao Dong. (2020). TssA–TssM–TagA interaction modulates type VI secretion system sheath-tube assembly in Vibrio cholerae. Nature Communications. 11(1). 5065–5065. 22 indexed citations
17.
Pei, Tong‐Tong, Hao Li, Xiaoye Liang, et al.. (2020). Intramolecular chaperone-mediated secretion of an Rhs effector toxin by a type VI secretion system. Nature Communications. 11(1). 1865–1865. 54 indexed citations
18.
Kamal, Fatima, Xiaoye Liang, Tong‐Tong Pei, et al.. (2020). Differential Cellular Response to Translocated Toxic Effectors and Physical Penetration by the Type VI Secretion System. Cell Reports. 31(11). 107766–107766. 48 indexed citations
19.
Burkinshaw, Brianne J., et al.. (2018). A type VI secretion system effector delivery mechanism dependent on PAAR and a chaperone–co-chaperone complex. Nature Microbiology. 3(5). 632–640. 104 indexed citations
20.
Dong, Tao, et al.. (2015). Generation of reactive oxygen species by lethal attacks from competing microbes. Proceedings of the National Academy of Sciences. 112(7). 2181–2186. 132 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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