Ding Qu
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Pharmacology top 2%
- Pharmacological Effects of Natural Compounds
- Medicinal Plant Pharmacodynamics Research
Papers in
-
- RNA Interference and Gene Delivery 10
- Glycosylation and Glycoproteins Research 4
- Natural product bioactivities and synthesis 4
- Biomaterials 16
- Nanoparticle-Based Drug Delivery 16
- Co-authors
- Yan Chen (28 shared papers)Congyan Liu (27 shared papers)Yuping Liu (18 shared papers)Can Zhang (5 shared papers)Mengmeng Huang (7 shared papers)Wenjie Sun (4 shared papers)Lingjing Xue (4 shared papers)Nan Zhang (2 shared papers)
- Journals
- Drug Delivery (7 papers)International Journal of Nanomedicine (7 papers)Carbohydrate Polymers (3 papers)Journal of Controlled Release (3 papers)Journal of Nanobiotechnology (3 papers)
- Partner nations
- China
In The Last Decade
Ding Qu
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Biomaterials 299
- Pharmacology 168
- Pharmaceutical Science 103
- Complementary and alternative medicine 126
- Molecular Medicine 39
Countries citing papers authored by Ding Qu
This map shows the geographic impact of Ding 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 Ding Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Qu more than expected).
Fields of papers citing papers by Ding Qu
This network shows the impact of papers produced by Ding 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 Ding Qu. The network helps show where Ding Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ding 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
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 61 | |
| 2 | 2015 | 61 | |
| 3 | 2017 | 60 | |
| 4 | 2012 | 59 | |
| 5 | 2013 | 51 | |
| 6 | 2013 | 50 | |
| 7 | 2014 | 47 | |
| 8 | 2018 | 45 | |
| 9 | 2017 | 41 | |
| 10 | 2018 | 40 | |
| 11 | 2018 | 36 | |
| 12 | 2017 | 36 | |
| 13 | 2015 | 34 | |
| 14 | 2017 | 34 | |
| 15 | 2022 | 33 | |
| 16 | 2023 | 31 | |
| 17 | 2016 | 30 | |
| 18 | 2019 | 27 | |
| 19 | 2017 | 27 | |
| 20 | 2016 | 23 |
About Ding Qu
Ding Qu is a scholar working on Molecular Biology, Biomaterials, Oncology, Immunology and Pharmacology, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (16 papers), RNA Interference and Gene Delivery (10 papers), Medicinal Plant Pharmacodynamics Research (6 papers), Nanoplatforms for cancer theranostics (5 papers), Glycosylation and Glycoproteins Research (4 papers), Natural Compounds in Disease Treatment (4 papers), Drug Transport and Resistance Mechanisms (4 papers) and Natural product bioactivities and synthesis (4 papers). The work is most often cited by research in Biomaterials (299 citations), Pharmacology (168 citations), Pharmaceutical Science (103 citations), Complementary and alternative medicine (126 citations) and Molecular Medicine (39 citations). Ding Qu has collaborated with scholars based in China. Frequent co-authors include Yan Chen, Congyan Liu, Yuping Liu, Can Zhang, Mengmeng Huang, Wenjie Sun, Lingjing Xue, Nan Zhang, Jing Zhou and Jingwei Xue. Their work appears in journals such as Drug Delivery, International Journal of Nanomedicine, Carbohydrate Polymers, Journal of Controlled Release and Journal of Nanobiotechnology.
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.