Hua Guo

34.4k total citations · 1 hit paper
67 papers, 5.8k citations indexed

About

Hua Guo is a scholar working on Infectious Diseases, Molecular Biology and Oncology. According to data from OpenAlex, Hua Guo has authored 67 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 18 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in Hua Guo's work include SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (8 papers) and Viral gastroenteritis research and epidemiology (7 papers). Hua Guo is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (8 papers) and Viral gastroenteritis research and epidemiology (7 papers). Hua Guo collaborates with scholars based in China, United States and Australia. Hua Guo's co-authors include Zheng‐Li Shi, Ben Hu, Peng Zhou, Qi Hu, Tong Jiang, Song Feng, Ming Xu, Qi Hu, Qi Zhang and Guiya Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Geochimica et Cosmochimica Acta.

In The Last Decade

Hua Guo

65 papers receiving 5.7k citations

Hit Papers

Characteristics of SARS-CoV-2 and COVID-19 2020 2026 2022 2024 2020 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hua Guo China 24 2.4k 934 876 816 583 67 5.8k
Xiaoli Shi China 42 608 0.2× 219 0.2× 1.8k 2.1× 254 0.3× 291 0.5× 222 7.0k
José R. Romero United States 52 2.2k 0.9× 143 0.2× 637 0.7× 206 0.3× 1.2k 2.0× 261 10.1k
A. Ian Smith Australia 61 1.1k 0.5× 1.0k 1.1× 5.0k 5.7× 123 0.2× 459 0.8× 333 14.1k
Xiao‐Hua Zhang China 46 1.6k 0.7× 385 0.4× 3.7k 4.2× 233 0.3× 925 1.6× 355 10.4k
Timothy J. Brown United States 32 1.2k 0.5× 2.6k 2.8× 425 0.5× 250 0.3× 103 0.2× 172 6.3k
Yin Chen China 54 560 0.2× 501 0.5× 4.0k 4.6× 278 0.3× 88 0.2× 362 9.8k
Jing Chen China 40 1.9k 0.8× 251 0.3× 1.2k 1.4× 50 0.1× 661 1.1× 389 7.7k
Neil Macdonald United Kingdom 43 405 0.2× 999 1.1× 1.9k 2.2× 467 0.6× 71 0.1× 236 12.0k
Yoshiyuki Takahashi Japan 49 586 0.2× 695 0.7× 2.4k 2.7× 54 0.1× 184 0.3× 621 10.3k
Toru Watanabe Japan 32 619 0.3× 121 0.1× 682 0.8× 231 0.3× 108 0.2× 271 4.6k

Countries citing papers authored by Hua Guo

Since Specialization
Citations

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

Fields of papers citing papers by Hua Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Guo. A scholar is included among the top collaborators of Hua Guo 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 Hua Guo. Hua Guo 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.
Zhang, Shuai, Hua Guo, Yubo Zhao, et al.. (2025). Mechanism of Brucella pathogenesis mediated by outer membrane protein Omp19: Synergistic activation of cytokine storm and dual apoptotic pathways. Microbial Pathogenesis. 210. 108125–108125.
2.
Sun, Beibei, Guizhen Wang, Hua Guo, et al.. (2024). Oncogenic functions and therapeutic potentials of targeted inhibition of SMARCAL1 in small cell lung cancer. Cancer Letters. 592. 216929–216929. 1 indexed citations
3.
Hu, Ben, Hua Guo, Hao-Rui Si, & Zheng‐Li Shi. (2024). Emergence of SARS and COVID-19 and preparedness for the next emerging disease X. Frontiers of Medicine. 18(1). 1–18. 5 indexed citations
4.
Guo, Hua, Ang Li, Haofeng Lin, et al.. (2022). The Glycan-Binding Trait of the Sarbecovirus Spike N-Terminal Domain Reveals an Evolutionary Footprint. Journal of Virology. 96(15). e0095822–e0095822. 9 indexed citations
5.
Chai, Zhonglin, Mark E. Cooper, Paul Zimmet, et al.. (2022). Elevated Fasting Blood Glucose Levels Are Associated with Worse Clinical Outcomes in COVID-19 Patients Than in Pneumonia Patients with Bacterial Infections. Pathogens. 11(8). 902–902. 1 indexed citations
6.
Shen, Yao, Jasvinder A. Singh, Zhongming Chen, et al.. (2022). The Histone Demethylase HR Suppresses Breast Cancer Development through Enhanced CELF2 Tumor Suppressor Activity. Cancers. 14(19). 4648–4648. 2 indexed citations
7.
Guo, Hua, Ang Li, Jia Su, et al.. (2022). ACE2-Independent Bat Sarbecovirus Entry and Replication in Human and Bat Cells. mBio. 13(6). e0256622–e0256622. 16 indexed citations
8.
Hu, Ben, Hua Guo, Peng Zhou, & Zheng‐Li Shi. (2022). Author Correction: Characteristics of SARS-CoV-2 and COVID-19. Nature Reviews Microbiology. 20(5). 315–315. 23 indexed citations
9.
Guo, Hua, Ben Hu, Hao-Rui Si, et al.. (2021). Identification of a novel lineage bat SARS-related coronaviruses that use bat ACE2 receptor. Emerging Microbes & Infections. 10(1). 1507–1514. 42 indexed citations
10.
Guo, Hua, Bingjie Hu, Xing‐Lou Yang, et al.. (2020). Evolutionary Arms Race between Virus and Host Drives Genetic Diversity in Bat Severe Acute Respiratory Syndrome-Related Coronavirus Spike Genes. Journal of Virology. 94(20). 71 indexed citations
11.
Hu, Ben, Hua Guo, Peng Zhou, & Zheng‐Li Shi. (2020). Characteristics of SARS-CoV-2 and COVID-19. Nature Reviews Microbiology. 19(3). 141–154. 3348 indexed citations breakdown →
12.
13.
Guo, Hua, Chunlin Cai, Bo Wang, et al.. (2019). Novel hepacivirus in Asian house shrew, China. Science China Life Sciences. 62(5). 701–704. 15 indexed citations
14.
Ma, Qiang, Chuan Wang, Xiaojin Li, et al.. (2016). Fabrication of water-soluble polymer-encapsulated As4S4 to increase oral bioavailability and chemotherapeutic efficacy in AML mice. Scientific Reports. 6(1). 29348–29348. 18 indexed citations
15.
Feng, Yifan, et al.. (2015). Lipopolysaccharide Promotes Choroidal Neovascularization by Up-Regulation of CXCR4 and CXCR7 Expression in Choroid Endothelial Cell. PLoS ONE. 10(8). e0136175–e0136175. 24 indexed citations
16.
Feng, Yifan, et al.. (2014). TGF-β1 enhances SDF-1-induced migration and tube formation of choroid-retinal endothelial cells by up-regulating CXCR4 and CXCR7 expression. Molecular and Cellular Biochemistry. 397(1-2). 131–138. 25 indexed citations
17.
Meng, Jie, Yinglu Ji, Jian Liu, et al.. (2013). Using gold nanorods core/silver shell nanostructures as model material to probe biodistribution and toxic effects of silver nanoparticles in mice. Nanotoxicology. 8(6). 686–696. 39 indexed citations
18.
Yang, Man, Jie Meng, Xuelian Cheng, et al.. (2012). Multiwalled Carbon Nanotubes Interact with Macrophages and Influence Tumor Progression and Metastasis. Theranostics. 2(3). 258–270. 34 indexed citations
19.
Agrawal, Anurag K., Hua Guo, & Carla Golden. (2011). Siblings presenting with progressive congenital aleukemic leukemia cutis. Pediatric Blood & Cancer. 57(2). 338–340. 7 indexed citations
20.
Xu, Xiang, Hua Guo, Fulong Wang, et al.. (2003). [An experimental study of inhibiting effect of decoy oligodeoxynucleotides on the gene expression of collagen in NIH3T3 cell].. PubMed. 19(3). 175–8. 1 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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