Qida Hu
Impact in
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Supramolecular Self-Assembly in Materials
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- RNA Interference and Gene Delivery 11
- Advanced biosensing and bioanalysis techniques 10
- Wnt/β-catenin signaling in development and cancer 3
- Oncology 10
- Pancreatic and Hepatic Oncology Research 5
- Co-authors
- Guping Tang (14 shared papers)Paul K. Chu (3 shared papers)Xueli Bai (11 shared papers)Ping Yuan (9 shared papers)Tingbo Liang (10 shared papers)Wei Chen (9 shared papers)Jun Li (2 shared papers)Qihan Fu (7 shared papers)
In The Last Decade
Qida Hu
53 papers receiving 2.5k citations
Qida Hu's Hit Papers
Peers
Comparison fields: 5 of 121
- Biomaterials 596
- Cancer Research 408
- Hepatology 132
- Oncology 388
- Molecular Biology 1.0k
Countries citing papers authored by Qida Hu
This map shows the geographic impact of Qida Hu'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 Qida Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qida Hu more than expected).
Fields of papers citing papers by Qida Hu
This network shows the impact of papers produced by Qida Hu. 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 Qida Hu. The network helps show where Qida Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qida Hu, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cyclodextrin-Based Host–Guest Supramolecular Nanoparticles for Delivery: From Design to Applications Hit paper breakdown → | 2014 | 451 |
| 2 | 2016 | 238 | |
| 3 | 2013 | 203 | |
| 4 | 2013 | 134 | |
| 5 | 2022 | 107 | |
| 6 | 2012 | 105 | |
| 7 | 2015 | 77 | |
| 8 | 2011 | 76 | |
| 9 | 2011 | 75 | |
| 10 | 2013 | 74 | |
| 11 | 2014 | 73 | |
| 12 | 2014 | 71 | |
| 13 | 2014 | 62 | |
| 14 | 2023 | 57 | |
| 15 | 2014 | 51 | |
| 16 | 2013 | 50 | |
| 17 | 2013 | 42 | |
| 18 | 2016 | 39 | |
| 19 | 2016 | 38 | |
| 20 | Wnt/beta-catenin signaling enhances hypoxia-induced epithelial-mesenchymal transition in hepatocellular carcinoma by increasing hif-1alpha activity and decreasing hypoxia-associated cell death | 2012 | 34 |
About Qida Hu
Qida Hu is a scholar working on Molecular Biology, Oncology, Biomaterials, Cancer Research and Surgery, having authored 55 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (11 papers), Advanced biosensing and bioanalysis techniques (10 papers), Nanoparticle-Based Drug Delivery (9 papers), Nanoplatforms for cancer theranostics (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Pancreatic and Hepatic Oncology Research (5 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Biomaterials (596 citations), Cancer Research (408 citations), Hepatology (132 citations), Oncology (388 citations) and Molecular Biology (1.0k citations). Qida Hu has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Guping Tang, Paul K. Chu, Xueli Bai, Ping Yuan, Tingbo Liang, Wei Chen, Jun Li, Qihan Fu, Qi Zhang and Tingbo Liang. Their work appears in journals such as Biomaterials, BMC Gastroenterology, OncoTargets and Therapy, Cancer Letters and Advanced Functional Materials.
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.