Daxiong Xiang
- Molecular Biology top 5%
- Cancer Research top 2%
- Biomedical Engineering top 5%
- Immunology top 10%
- Biomaterials top 5%
- Topics
- Extracellular vesicles in disease (17 papers)Nanoplatforms for cancer theranostics (14 papers)RNA Interference and Gene Delivery (13 papers)
- Journals
- CirculationJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Daxiong Xiang
110 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 1.8k
- Cancer Research 656
- Biomedical Engineering 550
- Immunology 353
- Biomaterials 341
Countries citing papers authored by Daxiong Xiang
This map shows the geographic impact of Daxiong Xiang'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 Daxiong Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daxiong Xiang more than expected).
Fields of papers citing papers by Daxiong Xiang
This network shows the impact of papers produced by Daxiong Xiang. 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 Daxiong Xiang. The network helps show where Daxiong Xiang may publish in the future.
Co-authorship network of co-authors of Daxiong Xiang
This figure shows the co-authorship network connecting the top 25 collaborators of Daxiong Xiang. A scholar is included among the top collaborators of Daxiong Xiang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daxiong Xiang. Daxiong Xiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | Nanomaterials for bone metastasisbreakdown → | 89 |
| 6 | 11 | |
| 7 | Hybrid Cell Membrane-Functionalized Biomimetic Nanoparticles for Targeted Therapy of Osteosarcoma | 48 |
| 8 | 86 | |
| 9 | 21 | |
| 10 | 16 | |
| 11 | 32 | |
| 12 | 10 | |
| 13 | 13 | |
| 14 | 41 | |
| 15 | 197 | |
| 16 | 35 | |
| 17 | Determination of polysaccharide in rhizoma of Panax japonicus by anthrone sulfuric acid method and phenol sulfuric method | 1 |
| 18 | Effect of pH on apparent oil/water partition coefficient of berberine hydrochloride | 1 |
| 19 | Preparation and evaluation of puerarin microemulsion for oral delivery | 2 |
| 20 | 6 |
About Daxiong Xiang
Daxiong Xiang is a scholar working on Geriatrics and Gerontology, Pharmaceutical Science and Pharmacology, having authored 112 papers that have together received 3.6k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (17 papers), Nanoplatforms for cancer theranostics (14 papers) and RNA Interference and Gene Delivery (13 papers). The work is most often cited by research in Cancer Research (656 citations), Pharmacology (287 citations) and Pharmaceutical Science (184 citations). Daxiong Xiang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Junyong Wu, Yongjiang Li, Xiong-Bin Hu, Jiemin Wang, Si Huang, Wenjie Xu, Shilin Luo, Jiaxin Cai, Taoli Sun and Bikui Zhang. Their work appears in journals such as Circulation, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.