Xiaoli Zuo

465 total citations
11 papers, 175 citations indexed

About

Xiaoli Zuo is a scholar working on Molecular Biology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Xiaoli Zuo has authored 11 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Infectious Diseases and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Xiaoli Zuo's work include SARS-CoV-2 and COVID-19 Research (3 papers), Extracellular vesicles in disease (3 papers) and COVID-19 Clinical Research Studies (2 papers). Xiaoli Zuo is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Extracellular vesicles in disease (3 papers) and COVID-19 Clinical Research Studies (2 papers). Xiaoli Zuo collaborates with scholars based in China, Ethiopia and United Kingdom. Xiaoli Zuo's co-authors include Fei Lan, Ruitu Lv, Bowen Rong, Ming‐Han Tong, Li Li, Zhaobing Gao, Bingqing Xia, Xiaoyan Pan, Hong Zhong and Gareth Jones and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Biology and Evolution and Journal of Medical Virology.

In The Last Decade

Xiaoli Zuo

11 papers receiving 172 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoli Zuo China 5 108 43 37 18 17 11 175
Youngran Cho South Korea 8 163 1.5× 13 0.3× 36 1.0× 7 0.4× 10 0.6× 12 250
Charlotte George United Kingdom 9 61 0.6× 88 2.0× 27 0.7× 8 0.4× 3 0.2× 11 226
Jenny George United Kingdom 6 103 1.0× 12 0.3× 59 1.6× 9 0.5× 2 0.1× 9 280
Rahul C. Bhoyar India 9 35 0.3× 39 0.9× 32 0.9× 11 0.6× 5 0.3× 37 176
Kaifeng Guan China 11 162 1.5× 24 0.6× 70 1.9× 7 0.4× 87 5.1× 21 310
Ginger D. Shaw United States 8 62 0.6× 12 0.3× 67 1.8× 4 0.2× 5 0.3× 17 164
Congcong Zou China 9 33 0.3× 74 1.7× 58 1.6× 13 0.7× 12 0.7× 22 201
Sally Williamson United States 6 72 0.7× 55 1.3× 77 2.1× 3 0.2× 2 0.1× 7 235
Tavis L. Mendez United States 11 99 0.9× 61 1.4× 14 0.4× 10 0.6× 1 0.1× 19 262
Tamika K. Samuel United States 7 150 1.4× 15 0.3× 9 0.2× 18 1.0× 2 0.1× 7 353

Countries citing papers authored by Xiaoli Zuo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Zuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Zuo

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Zuo. A scholar is included among the top collaborators of Xiaoli Zuo 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 Xiaoli Zuo. Xiaoli Zuo 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.
Wang, Yi, Midie Xu, Xiaoli Zuo, et al.. (2025). The critical role of MLKL in hemorrhagic stroke and the therapeutic potential of its associated protein network. Frontiers in Cell and Developmental Biology. 12. 1509877–1509877. 1 indexed citations
2.
Xu, Qiang, et al.. (2024). Integrative analysis of bioinformatics and machine learning to identify cuprotosis-related biomarkers and immunological characteristics in heart failure. Frontiers in Cardiovascular Medicine. 11. 1349363–1349363. 1 indexed citations
3.
Bu, Jiwen, Xiaoyan Pan, Qiguang Li, et al.. (2024). SARS‐CoV‐2 envelope protein‐derived extracellular vesicles act as potential media for viral spillover. Journal of Medical Virology. 96(7). e29782–e29782. 4 indexed citations
4.
Xu, Qiang, et al.. (2024). Uncovering hub genes and immunological characteristics for heart failure utilizing RRA, WGCNA and Machine learning. IJC Heart & Vasculature. 51. 101335–101335. 3 indexed citations
5.
Li, Qiguang, Qian Liu, Xiaoli Zuo, et al.. (2024). Golgi-derived extracellular vesicle production induced by SARS-CoV-2 envelope protein. APOPTOSIS. 30(1-2). 197–209. 3 indexed citations
6.
Xia, Bingqing, Xiaoyan Pan, Rong‐Hua Luo, et al.. (2023). Extracellular vesicles mediate antibody-resistant transmission of SARS-CoV-2. Cell Discovery. 9(1). 2–2. 42 indexed citations
7.
Xia, Bingqing, Yi Wang, Xiaoyan Pan, et al.. (2022). Why is the SARS-CoV-2 Omicron variant milder?. The Innovation. 3(4). 100251–100251. 17 indexed citations
9.
Zuo, Xiaoli, Bowen Rong, Li Li, et al.. (2018). The histone methyltransferase SETD2 is required for expression of acrosin-binding protein 1 and protamines and essential for spermiogenesis in mice. Journal of Biological Chemistry. 293(24). 9188–9197. 51 indexed citations
11.
Wang, Zhe, Liping Yuan, Stephen J. Rossiter, et al.. (2008). Adaptive Evolution of 5'HoxD Genes in the Origin and Diversification of the Cetacean Flipper. Molecular Biology and Evolution. 26(3). 613–622. 39 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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