Ye Qiu

4.1k total citations · 1 hit paper
97 papers, 2.7k citations indexed

About

Ye Qiu is a scholar working on Molecular Biology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ye Qiu has authored 97 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 23 papers in Infectious Diseases and 17 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ye Qiu's work include SARS-CoV-2 and COVID-19 Research (16 papers), Viral Infections and Immunology Research (13 papers) and Animal Virus Infections Studies (13 papers). Ye Qiu is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (16 papers), Viral Infections and Immunology Research (13 papers) and Animal Virus Infections Studies (13 papers). Ye Qiu collaborates with scholars based in China, Canada and United States. Ye Qiu's co-authors include Xing‐Yi Ge, Decheng Yang, Zhijian Zhou, Rui Luo, Gabriel Fung, Qiong Wang, Honglin Luo, Bruce M. McManus, Qiong Wang and Zhi You and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Ye Qiu

87 papers receiving 2.6k citations

Hit Papers

align trajectories

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ye Qiu China	24	934	847	484	261	259	97	2.7k
Hongliang Wang China	23	669 0.7×	784 0.9×	117 0.2×	188 0.7×	93 0.4×	94	2.3k
Qiong Lu China	29	1.6k 1.7×	2.0k 2.4×	89 0.2×	342 1.3×	277 1.1×	87	4.6k
Martin Deijs Netherlands	21	1.2k 1.2×	402 0.5×	207 0.4×	238 0.9×	539 2.1×	53	2.4k
José Ángel Regla-Nava United States	24	2.6k 2.7×	915 1.1×	97 0.2×	406 1.6×	467 1.8×	30	3.6k
Huibin Lv China	18	1.4k 1.4×	520 0.6×	57 0.1×	227 0.9×	192 0.7×	53	2.3k
Zhiwei Li China	25	616 0.7×	540 0.6×	61 0.1×	373 1.4×	135 0.5×	115	2.4k
Long Liu China	22	666 0.7×	511 0.6×	67 0.1×	143 0.5×	208 0.8×	103	2.0k
Yaping Chen China	29	571 0.6×	1.0k 1.2×	162 0.3×	606 2.3×	41 0.2×	183	3.9k
Dae‐Gyun Ahn South Korea	19	795 0.9×	637 0.8×	76 0.2×	158 0.6×	99 0.4×	41	1.9k

Countries citing papers authored by Ye Qiu

Since Specialization

Citations

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

Fields of papers citing papers by Ye Qiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Qiu. A scholar is included among the top collaborators of Ye Qiu 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 Ye Qiu. Ye Qiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Qiu, Ye, Zhengtu Li, Shi‐Xiong Yang, et al.. (2025). Early differential diagnosis models of Talaromycosis and Tuberculosis in HIV-negative hosts using clinical data and machine learning. Journal of Infection and Public Health. 18(6). 102740–102740.

2.

Liu, Qian, et al.. (2025). SARS‐CoV‐2 Membrane Protein Induces MARCHF1/GPX4‐Mediated Ferroptosis by Promoting Lipid Accumulation. Journal of Medical Virology. 97(4). e70328–e70328. 2 indexed citations

3.

Chen, Yajie, Lijun Chen, Xi Zhu, et al.. (2025). An oligomeric approach toward dual-mechanistic, broad-spectrum antiviral effectiveness. Science China Chemistry. 69(2). 890–899.

4.

You, Zhi, et al.. (2025). Decoding the virome reveals diverse novel viruses in tree shrews (Tupaia belangeri) in Yunnan Province. Virologica Sinica. 40(3). 314–323.

5.

Qiu, Ye, et al.. (2025). Interkingdom signaling between gastrointestinal hormones and the gut microbiome. Gut Microbes. 17(1). 2456592–2456592. 9 indexed citations

6.

Zhu, Tao, et al.. (2024). The Relationship Between Blood Urea Nitrogen to Creatinine Ratio and Severe Acute Exacerbation of COPD Patients: A Propensity Score Matching Study. International Journal of COPD. Volume 19. 2529–2543.

7.

Li, Xiang, et al.. (2024). Research Progress of Pyroptosis in Diabetic Kidney Disease. International Journal of Molecular Sciences. 25(13). 7130–7130. 8 indexed citations

8.

Qiu, Ye, et al.. (2024). Evolutionary Analysis and Antiviral Drug Prediction of Mpox Virus. Microorganisms. 12(11). 2239–2239. 1 indexed citations

9.

Chen, Yijun, Yongming Li, Weisi Chen, et al.. (2023). Comparison of diagnostic efficiency of detecting IgG and IgE with immunoassay method in diagnosing ABPA: a meta-analysis. BMC Pulmonary Medicine. 23(1). 374–374. 1 indexed citations

10.

Li, Zenghui, Ya Li, Liyang Shi, et al.. (2023). Antagonizing apolipoprotein J chaperone promotes proteasomal degradation of mTOR and relieves hepatic lipid deposition. Hepatology. 78(4). 1182–1199. 4 indexed citations

11.

Lu, Congyu, Ye Qiu, Heping Zheng, et al.. (2022). An atlas of human viruses provides new insights into diversity and tissue tropism of human viruses. Bioinformatics. 38(11). 3087–3093. 14 indexed citations

12.

Cai, Zena, Ye Qiu, Aiping Wu, et al.. (2022). vsRNAfinder: a novel method for identifying high-confidence viral small RNAs from small RNA-Seq data. Briefings in Bioinformatics. 23(6). 2 indexed citations

13.

Wang, Qiong, Zhijian Zhou, Xi Zhu, et al.. (2022). Key mutations in the spike protein of SARS‐CoV‐2 affecting neutralization resistance and viral internalization. Journal of Medical Virology. 95(1). e28407–e28407. 20 indexed citations

14.

Li, Jinyan, et al.. (2021). The 442th amino acid residue of the spike protein is critical for the adaptation to bat hosts for SARS-related coronaviruses. Virus Research. 295. 198307–198307. 3 indexed citations

15.

Zhang, Liang, Hui Deng, Huan Li, et al.. (2021). In vivo activation of pH-responsive oxidase-like graphitic nanozymes for selective killing of Helicobacter pylori. Nature Communications. 12(1). 2002–2002. 182 indexed citations

16.

Lu, Congyu, Zheng Zhang, Zena Cai, et al.. (2021). Prokaryotic virus host predictor: a Gaussian model for host prediction of prokaryotic viruses in metagenomics. BMC Biology. 19(1). 5–5. 67 indexed citations

17.

Qiu, Ye, Yuanbo Zhao, Qiong Wang, et al.. (2020). Predicting the angiotensin converting enzyme 2 (ACE2) utilizing capability as the receptor of SARS-CoV-2. Microbes and Infection. 22(4-5). 221–225. 150 indexed citations

18.

Hanson, Paul, Ye Qiu, Maged Gomaa Hemida, et al.. (2015). Cleavage of DAP5 by coxsackievirus B3 2A protease facilitates viral replication and enhances apoptosis by altering translation of IRES-containing genes. Cell Death and Differentiation. 23(5). 828–840. 28 indexed citations

19.

Koga, Takahisa, Xiang Shen, Jeong‐Seok Park, et al.. (2009). Differential Effects of Myocilin and Optineurin, Two Glaucoma Genes, on Neurite Outgrowth. American Journal Of Pathology. 176(1). 343–352. 23 indexed citations

20.

Qiu, Ye. (2008). FPGA Technology on Fuzzy Numbers Algorithm of VCN.

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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