Na Qu
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Pharmaceutical Science top 10%
Papers in
-
- RNA modifications and cancer 4
- Ubiquitin and proteasome pathways 3
- Advanced biosensing and bioanalysis techniques 3
- Oncology 9
- Cancer Cells and Metastasis 4
- Co-authors
- Lesheng Teng (4 shared papers)Yating Sun (3 shared papers)Ming Zhang (1 shared paper)Congying Wang (1 shared paper)Chengxia Kan (7 shared papers)Xiaodong Sun (6 shared papers)Ben‐Zhan Zhu (3 shared papers)Fengping Shan (10 shared papers)
- Journals
- International Immunopharmacology (10 papers)Biochemical Pharmacology (3 papers)International Journal of Nanomedicine (2 papers)Frontiers in Pharmacology (2 papers)iScience (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Na Qu
55 papers receiving 833 citations
Na Qu's Hit Papers
Peers
Comparison fields: 5 of 109
- Biomaterials 147
- Pharmaceutical Science 41
- Cancer Research 89
- Virology 22
- Molecular Biology 335
Countries citing papers authored by Na Qu
This map shows the geographic impact of Na 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 Na Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Qu more than expected).
Fields of papers citing papers by Na Qu
This network shows the impact of papers produced by Na 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 Na Qu. The network helps show where Na Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Na 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Albumin Nanoparticle-Based Drug Delivery Systems Hit paper breakdown → | 2024 | 86 |
| 2 | 2018 | 77 | |
| 3 | 2022 | 71 | |
| 4 | 2019 | 67 | |
| 5 | 2016 | 64 | |
| 6 | 2016 | 49 | |
| 7 | 2010 | 41 | |
| 8 | 2016 | 33 | |
| 9 | 2019 | 29 | |
| 10 | 2022 | 27 | |
| 11 | 2022 | 24 | |
| 12 | 2018 | 22 | |
| 13 | 2020 | 21 | |
| 14 | 2016 | 18 | |
| 15 | 2021 | 12 | |
| 16 | 2019 | 12 | |
| 17 | 2024 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2022 | 10 | |
| 20 | 2023 | 10 |
About Na Qu
Na Qu is a scholar working on Molecular Biology, Oncology, Psychiatry and Mental health, Epidemiology and Immunology, having authored 58 papers that have together received 847 indexed citations. Recurring topics across this work include Cancer, Stress, Anesthesia, and Immune Response (8 papers), Autophagy in Disease and Therapy (5 papers), Neuropeptides and Animal Physiology (5 papers), Cancer Cells and Metastasis (4 papers), RNA modifications and cancer (4 papers), Ubiquitin and proteasome pathways (3 papers), Immune cells in cancer (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Biomaterials (147 citations), Pharmaceutical Science (41 citations), Cancer Research (89 citations), Virology (22 citations) and Molecular Biology (335 citations). Na Qu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lesheng Teng, Yating Sun, Ming Zhang, Congying Wang, Chengxia Kan, Xiaodong Sun, Ben‐Zhan Zhu, Fengping Shan, Ningning Hou and Lijiang Chen. Their work appears in journals such as International Immunopharmacology, Biochemical Pharmacology, International Journal of Nanomedicine, Frontiers in Pharmacology and iScience.
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.