Guangwen Lu

11.8k total citations · 6 hit papers
84 papers, 6.4k citations indexed

About

Guangwen Lu is a scholar working on Infectious Diseases, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Guangwen Lu has authored 84 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Infectious Diseases, 26 papers in Molecular Biology and 18 papers in Animal Science and Zoology. Recurrent topics in Guangwen Lu's work include SARS-CoV-2 and COVID-19 Research (31 papers), Animal Virus Infections Studies (18 papers) and Viral gastroenteritis research and epidemiology (15 papers). Guangwen Lu is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (31 papers), Animal Virus Infections Studies (18 papers) and Viral gastroenteritis research and epidemiology (15 papers). Guangwen Lu collaborates with scholars based in China, United States and Hong Kong. Guangwen Lu's co-authors include Qihui Wang, George F. Gao, Jinghua Yan, Jianxun Qi, Yanfang Zhang, Kwok‐Yung Yuen, Lili Wu, Chunli Song, Sheng Niu and Yu Hu and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Guangwen Lu

81 papers receiving 6.3k citations

Hit Papers

Structural and Functional Basis of SARS... 2013 2026 2017 2021 2020 2013 2017 2015 2021 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangwen Lu China 32 4.7k 1.6k 1.2k 920 605 84 6.4k
Xuanling Shi China 22 4.7k 1.0× 1.7k 1.1× 815 0.7× 617 0.7× 609 1.0× 50 6.0k
Qibin Geng United States 17 4.8k 1.0× 1.3k 0.8× 747 0.6× 452 0.5× 574 0.9× 28 5.9k
Krzysztof Pyrć Poland 41 4.4k 0.9× 1.1k 0.7× 1.4k 1.1× 1.3k 1.5× 659 1.1× 140 6.9k
Kizzmekia S. Corbett United States 16 6.7k 1.4× 2.1k 1.3× 975 0.8× 718 0.8× 784 1.3× 23 8.2k
Vineet D. Menachery United States 41 6.2k 1.3× 1.6k 1.0× 1.3k 1.1× 748 0.8× 1.3k 2.1× 86 7.9k
Sander van Boheemen Netherlands 17 4.7k 1.0× 837 0.5× 1.5k 1.2× 1.2k 1.3× 607 1.0× 27 6.4k
Swee Kee Wong United States 11 4.6k 1.0× 1.5k 1.0× 1.0k 0.8× 725 0.8× 738 1.2× 12 6.7k
Timothy P. Sheahan United States 37 5.9k 1.3× 1.4k 0.9× 817 0.7× 1.1k 1.2× 925 1.5× 84 8.0k
Anthony R. Fehr United States 27 4.5k 1.0× 1.5k 0.9× 729 0.6× 738 0.8× 1.1k 1.8× 52 6.8k
Chien‐Te K. Tseng United States 45 4.3k 0.9× 1.1k 0.7× 1.3k 1.1× 1.0k 1.1× 1.4k 2.4× 84 6.1k

Countries citing papers authored by Guangwen Lu

Since Specialization
Citations

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

Fields of papers citing papers by Guangwen Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangwen Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Guangwen Lu. A scholar is included among the top collaborators of Guangwen Lu 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 Guangwen Lu. Guangwen Lu 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.
Yu, You, Fanli Yang, Sheng Lin, et al.. (2025). Rabies virus glycoprotein: Structure, function, and antivirals. 4(2). 67–86. 1 indexed citations
2.
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Wen, Qiao, Yujiao Chen, Shenghai Chang, et al.. (2024). Deciphering the molecular basis of lipoprotein recognition and transport by LolCDE. Signal Transduction and Targeted Therapy. 9(1). 354–354. 3 indexed citations
5.
Zhang, Ming, Chao Tang, Zichun Wang, et al.. (2024). Real-time detection of 20 amino acids and discrimination of pathologically relevant peptides with functionalized nanopore. Nature Methods. 21(4). 609–618. 67 indexed citations breakdown →
6.
Yang, Yi, Guangwen Lu, Fanli Yang, et al.. (2023). Characterization of a human–mouse chimeric monoclonal antibody targeting rabies virus glycoprotein. Journal of Medical Virology. 95(7). e28954–e28954. 2 indexed citations
7.
He, Cai, Aqu Alu, Lei Hong, et al.. (2023). A recombinant spike‐XBB.1.5 protein vaccine induces broad‐spectrum immune responses against XBB.1.5‐included Omicron variants of SARS‐CoV‐2. SHILAP Revista de lepidopterología. 4(3). e263–e263. 11 indexed citations
8.
Chang, Shenghai, Qinghua Luo, Chun Chan, et al.. (2023). Structural basis of BAM-mediated outer membrane β-barrel protein assembly. Nature. 617(7959). 185–193. 38 indexed citations
9.
Hong, Lei, Aqu Alu, H. J. Yang, et al.. (2023). Cationic crosslinked carbon dots-adjuvanted intranasal vaccine induces protective immunity against Omicron-included SARS-CoV-2 variants. Nature Communications. 14(1). 2678–2678. 30 indexed citations
10.
Qin, Shugang, Hai Huang, Wen Xiao, et al.. (2023). A novel heterologous receptor-binding domain dodecamer universal mRNA vaccine against SARS-CoV-2 variants. Acta Pharmaceutica Sinica B. 13(10). 4291–4304. 10 indexed citations
11.
Guo, Liyan, Sheng Lin, Zimin Chen, et al.. (2023). Targetable elements in SARS-CoV-2 S2 subunit for the design of pan-coronavirus fusion inhibitors and vaccines. Signal Transduction and Targeted Therapy. 8(1). 197–197. 37 indexed citations
12.
Yang, H. J., Weiqi Hong, Lei Hong, et al.. (2023). Low levels of neutralizing antibodies against XBB Omicron subvariants after BA.5 infection. Signal Transduction and Targeted Therapy. 8(1). 252–252. 20 indexed citations
13.
Hong, Lei, Aqu Alu, H. J. Yang, et al.. (2022). Intranasal administration of a recombinant RBD vaccine induces long-term immunity against Omicron-included SARS-CoV-2 variants. Signal Transduction and Targeted Therapy. 7(1). 159–159. 31 indexed citations
14.
Lin, Sheng, Hua Chen, Zimin Chen, et al.. (2021). Crystal structure of SARS-CoV-2 nsp10 bound to nsp14-ExoN domain reveals an exoribonuclease with both structural and functional integrity. Nucleic Acids Research. 49(9). 5382–5392. 85 indexed citations
15.
Chen, Gao, Yin Wang, Xin Cheng, et al.. (2021). Flagella hook protein FlgE is a novel vaccine candidate of Pseudomonas aeruginosa identified by a genomic approach. Vaccine. 39(17). 2386–2395. 14 indexed citations
16.
Lin, Xi, Fei Ye, Sheng Lin, et al.. (2019). Crystal structure of PA0833 periplasmic domain from Pseudomonas aeruginosa reveals an unexpected enlarged peptidoglycan binding pocket. Biochemical and Biophysical Research Communications. 511(4). 875–881. 4 indexed citations
17.
Ye, Fei, Fanli Yang, Xi Lin, et al.. (2018). Molecular basis of binding between the global post-transcriptional regulator CsrA and the T3SS chaperone CesT. Nature Communications. 9(1). 1196–1196. 24 indexed citations
18.
Gu, Jiang, et al.. (2018). Cloning, Expression, Purification, and Crystallization of <i>P. aeruginosa </i>ICMP. American Journal of Molecular Biology. 8(4). 195–204.
19.
Lu, Guangwen, Jianxun Qi, Lili Wu, et al.. (2017). Structural basis of nectin-1 recognition by pseudorabies virus glycoprotein D. PLoS Pathogens. 13(5). e1006314–e1006314. 67 indexed citations
20.
Lu, Guangwen, George F. Gao, & Jinghua Yan. (2013). [The receptors and entry of measles virus: a review].. PubMed. 29(1). 1–9. 6 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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