Di Qu

9.3k total citations · 2 hit papers
142 papers, 6.4k citations indexed

About

Di Qu is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Di Qu has authored 142 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 63 papers in Infectious Diseases and 26 papers in Epidemiology. Recurrent topics in Di Qu's work include Bacterial biofilms and quorum sensing (49 papers), Antimicrobial Resistance in Staphylococcus (42 papers) and Antimicrobial Peptides and Activities (24 papers). Di Qu is often cited by papers focused on Bacterial biofilms and quorum sensing (49 papers), Antimicrobial Resistance in Staphylococcus (42 papers) and Antimicrobial Peptides and Activities (24 papers). Di Qu collaborates with scholars based in China, United States and Germany. Di Qu's co-authors include Zhiqiang Qin, Søren Molin, Tim Tolker‐Nielsen, Liang Yang, Youhua Xie, Zhu Yu-li, Jinxin Zheng, Xia Cai, Zhiwei Lin and Chenjian Gu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Di Qu

141 papers receiving 6.3k citations

Hit Papers

Genome sequence and analysis of the tuber crop potato 2011 2026 2016 2021 2011 2022 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Genome sequence and analysis of the tuber crop potato
    2011 1.5k citations Di Qu et al. profile →
  2. Rapid and ultrasensitive electromechanical detection of ions, biomolecules and SARS-CoV-2 RNA in unamplified samples
    2022 255 citations Chenjian Gu, Di Qu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Di Qu China 36 3.3k 1.7k 1.6k 739 586 142 6.4k
Deborah A. Hogan United States 46 4.6k 1.4× 2.7k 1.7× 849 0.5× 667 0.9× 642 1.1× 121 7.6k
Roland Brousseau Canada 49 4.0k 1.2× 750 0.5× 1.1k 0.7× 575 0.8× 320 0.5× 125 6.6k
Dong Wook Kim South Korea 39 2.0k 0.6× 841 0.5× 707 0.4× 588 0.8× 265 0.5× 131 4.9k
Cristina De Castro Italy 39 2.4k 0.7× 390 0.2× 1.3k 0.9× 686 0.9× 354 0.6× 202 5.5k
Pilar García Spain 43 3.1k 1.0× 1.1k 0.7× 495 0.3× 1.4k 1.9× 1.3k 2.3× 128 6.2k
Sangryeol Ryu South Korea 53 3.3k 1.0× 1.2k 0.7× 987 0.6× 2.6k 3.5× 983 1.7× 280 8.4k
Beth Burgwyn Fuchs United States 37 1.6k 0.5× 1.7k 1.0× 547 0.3× 412 0.6× 613 1.0× 89 4.5k
Naoki Kato Japan 40 2.4k 0.7× 1.2k 0.7× 724 0.5× 569 0.8× 252 0.4× 150 6.0k
Gregory T. Robertson United States 27 2.6k 0.8× 506 0.3× 1.0k 0.7× 297 0.4× 250 0.4× 59 5.2k
David E. Heinrichs Canada 56 3.7k 1.1× 2.2k 1.4× 602 0.4× 452 0.6× 594 1.0× 128 7.0k

Countries citing papers authored by Di Qu

Since Specialization
Citations

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

Fields of papers citing papers by Di Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Di Qu. A scholar is included among the top collaborators of Di Qu 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 Di Qu. Di Qu 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.
Qu, Di, Peng Ge, Laure Botella, et al.. (2024). Mycobacterial biotin synthases require an auxiliary protein to convert dethiobiotin into biotin. Nature Communications. 15(1). 4161–4161. 3 indexed citations
2.
3.
Qu, Di, et al.. (2023). Effects of whole nutritional formula foods on nutritional improvement and intestinal flora in malnourished rats. Food Science & Nutrition. 12(3). 1724–1735. 1 indexed citations
4.
Sun, Zhiping, Xia Cai, Wendong Han, et al.. (2022). Survival of SARS‐CoV‐2 in artificial seawater and on the surface of inanimate materials. Journal of Medical Virology. 94(8). 3982–3987. 15 indexed citations
5.
Song, Kun, Yongpeng Shang, Junwen Chen, et al.. (2021). Selection and Identification of Novel Antibacterial Agents against Planktonic Growth and Biofilm Formation of Enterococcus faecalis. Journal of Medicinal Chemistry. 64(20). 15037–15052. 11 indexed citations
6.
Zhu, Yunkai, Fei Feng, Gaowei Hu, et al.. (2021). A genome-wide CRISPR screen identifies host factors that regulate SARS-CoV-2 entry. Nature Communications. 12(1). 961–961. 165 indexed citations
7.
Sun, Zhiping, Xia Cai, Chenjian Gu, et al.. (2020). Survival of SARS-COV-2 under liquid medium, dry filter paper and acidic conditions. Cell Discovery. 6(1). 57–57. 14 indexed citations
8.
Shang, Yongpeng, Xiaofei Wang, Zhiwei Lin, et al.. (2020). Staphylococcus aureus PhoU Homologs Regulate Persister Formation and Virulence. Frontiers in Microbiology. 11. 865–865. 29 indexed citations
9.
Zheng, Jinxin, Zhong Chen, Junwen Chen, et al.. (2019). In vitro evaluation of the antibacterial activities of radezolid and linezolid for Streptococcus agalactiae. Microbial Pathogenesis. 139. 103866–103866. 13 indexed citations
10.
11.
Qu, Di, Chuan Li, Feng Sang, et al.. (2016). The variances of Sp1 and NF-κB elements correlate with the greater capacity of Chinese HIV-1 B′-LTR for driving gene expression. Scientific Reports. 6(1). 34532–34532. 24 indexed citations
12.
Zhou, Ying, Ruzhou Zhao, Bo Ma, et al.. (2015). Oligomerization of RNAIII-Inhibiting Peptide Inhibits Adherence and Biofilm Formation of Methicillin-Resistant Staphylococcus aureus In Vitro and In Vivo. Microbial Drug Resistance. 22(3). 193–201. 9 indexed citations
13.
Hu, Liu, Shuang Geng, Bo Wang, et al.. (2015). Immuno-potentiating pathway of HBsAg-HBIG immunogenic complex visualized. Human Vaccines & Immunotherapeutics. 12(1). 77–84. 6 indexed citations
14.
Qu, Di. (2013). Holidays short term load forecasting using fuzzy linear regression method. Power Demand Side Management. 2 indexed citations
15.
16.
17.
Qu, Di. (2011). Effect of ultrasound irradiation on viability of HepG_2 cell:an experimental study in vitro. Shengxue jishu. 1 indexed citations
18.
Zhao, Yanfeng, Su Qu, Xinwen Zhou, et al.. (2010). Proteomic analysis of primary duck hepatocytes infected with duck hepatitis B virus. Proteome Science. 8(1). 28–28. 12 indexed citations
19.
Chen, Donghua, et al.. (2007). Viability Rates of Eriocheir sinensis Sperms in SixPreservation Solutions (In Vitro)(Chinese). Huadong Shifan Daxue xuebao. Ziran kexue ban. 2007(4). 86. 2 indexed citations
20.
Qu, Di, et al.. (1998). Effect of Plasmid DNA on Immunogenicity of HBsAg–Anti-HBs Complex. Viral Immunology. 11(2). 65–72. 4 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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