Di Qu
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
Papers in
- Microbiology 26
- Antimicrobial Peptides and Activities 24
-
- Antimicrobial Resistance in Staphylococcus 42
- Co-authors
- Zhiqiang QinSøren MolinLiang YangTim Tolker‐NielsenYouhua XieZhu Yu-liJinxin ZhengXia Cai
- Journals
- Frontiers in Microbiology (10 papers)BMC Microbiology (7 papers)PLoS ONE (7 papers)Journal of Medical Microbiology (4 papers)Emerging Microbes & Infections (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Di Qu
141 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Molecular Medicine 527
- Microbiology 586
- Infectious Diseases 1.7k
- Endocrinology 329
- Molecular Biology 3.3k
Countries citing papers authored by Di Qu
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
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
The 25 scholars most cited alongside Di Qu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 15 | |
| 5 | 2021 | 165 | |
| 6 | 2021 | 11 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 29 | |
| 9 | 2019 | 13 | |
| 10 | 2018 | 19 | |
| 11 | 2016 | 24 | |
| 12 | 2015 | 6 | |
| 13 | Holidays short term load forecasting using fuzzy linear regression method | 2013 | 2 |
| 14 | 2012 | 23 | |
| 15 | 2011 | 13 | |
| 16 | Effect of ultrasound irradiation on viability of HepG_2 cell:an experimental study in vitro | 2011 | 1 |
| 17 | 2010 | 12 | |
| 18 | Viability Rates of Eriocheir sinensis Sperms in SixPreservation Solutions (In Vitro)(Chinese) | 2007 | 2 |
| 19 | 2006 | 20 | |
| 20 | 1998 | 4 |
About Di Qu
Di Qu is a scholar working on Microbiology, Infectious Diseases, Molecular Medicine, Endocrinology and Molecular Biology, having authored 142 papers that have together received 6.4k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (49 papers), Antimicrobial Resistance in Staphylococcus (42 papers), Antimicrobial Peptides and Activities (24 papers), Antibiotic Resistance in Bacteria (13 papers), Biochemical and Structural Characterization (9 papers), Ginseng Biological Effects and Applications (8 papers), Hepatitis B Virus Studies (8 papers) and Bacterial Genetics and Biotechnology (8 papers). The work is most often cited by research in Molecular Medicine (527 citations), Microbiology (586 citations), Infectious Diseases (1.7k citations), Endocrinology (329 citations) and Molecular Biology (3.3k citations). Di Qu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhiqiang Qin, Søren Molin, Liang Yang, Tim Tolker‐Nielsen, Youhua Xie, Zhu Yu-li, Jinxin Zheng, Xia Cai, Chenjian Gu and Zhiwei Lin. Their work appears in journals such as Frontiers in Microbiology, BMC Microbiology, PLoS ONE, Journal of Medical Microbiology and Emerging Microbes & Infections.
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.