Daqiang Wu
Impact in
-
- NMR spectroscopy and applications
- Spectroscopy top 2%
- Advanced NMR Techniques and Applications
Papers in ⓘ
-
- Antibiotic Resistance in Bacteria 8
-
- Reproductive tract infections research 7
- Co-authors
- Charles S. Johnson (4 shared papers)Jing Shao (49 shared papers)Changzhong Wang (47 shared papers)Gaoxiang Shi (15 shared papers)Tianming Wang (37 shared papers)Huijuan Cheng (8 shared papers)Guiming Yan (14 shared papers)Yuquan Xu (4 shared papers)
- Journals
- Frontiers in Microbiology (7 papers)Journal of Magnetic Resonance Series A (6 papers)Journal of Ethnopharmacology (5 papers)Medical Mycology (4 papers)Journal of Leukocyte Biology (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Daqiang Wu
80 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Nuclear and High Energy Physics 378
- Spectroscopy 480
- Molecular Medicine 98
- Microbiology 107
- Pharmacology 141
Countries citing papers authored by Daqiang Wu
This map shows the geographic impact of Daqiang Wu'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 Daqiang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daqiang Wu more than expected).
Fields of papers citing papers by Daqiang Wu
This network shows the impact of papers produced by Daqiang Wu. 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 Daqiang Wu. The network helps show where Daqiang Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daqiang Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Improved Diffusion-Ordered Spectroscopy Experiment Incorporating Bipolar-Gradient Pulses Hit paper breakdown → | 1995 | 1250 |
| 2 | 1995 | 75 | |
| 3 | 2013 | 72 | |
| 4 | 2011 | 63 | |
| 5 | 2015 | 54 | |
| 6 | 2013 | 42 | |
| 7 | 2014 | 38 | |
| 8 | 2018 | 36 | |
| 9 | 2020 | 35 | |
| 10 | 2016 | 33 | |
| 11 | 2014 | 32 | |
| 12 | 2022 | 31 | |
| 13 | 2014 | 29 | |
| 14 | 2020 | 29 | |
| 15 | 2011 | 28 | |
| 16 | 2016 | 26 | |
| 17 | 2015 | 25 | |
| 18 | 2020 | 23 | |
| 19 | 2017 | 22 | |
| 20 | 2020 | 22 |
About Daqiang Wu
Daqiang Wu is a scholar working on Molecular Medicine, Microbiology, Pharmacology, Infectious Diseases and Epidemiology, having authored 85 papers that have together received 2.4k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (21 papers), Mycobacterium research and diagnosis (19 papers), Nephrotoxicity and Medicinal Plants (15 papers), Bacterial biofilms and quorum sensing (10 papers), Antibiotic Resistance in Bacteria (8 papers), Plant-based Medicinal Research (7 papers), Reproductive tract infections research (7 papers) and Fungal Infections and Studies (6 papers). The work is most often cited by research in Nuclear and High Energy Physics (378 citations), Spectroscopy (480 citations), Molecular Medicine (98 citations), Microbiology (107 citations) and Pharmacology (141 citations). Daqiang Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Charles S. Johnson, Jing Shao, Changzhong Wang, Gaoxiang Shi, Tianming Wang, Huijuan Cheng, Guiming Yan, Yuquan Xu, Xianqing Huang and Wei Xue. Their work appears in journals such as Frontiers in Microbiology, Journal of Magnetic Resonance Series A, Journal of Ethnopharmacology, Medical Mycology and Journal of Leukocyte Biology.
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.