Xiaoyang Chu

955 citations
27 papers · 709 · h-index 13

Impact in

Papers in

Xiaoyang Chu

26 papers receiving 699 citations

Peers

Xiaoyang Chu
Comparison fields: 5 of 94
  • Biomaterials 249
  • Pharmaceutical Science 71
  • Geriatrics and Gerontology 18
  • Biomedical Engineering 220
  • Molecular Biology 290
Replace Pradip R. Chaudhari with:
Pradip R. Chaudhari India
Muhammad Kashif Riaz Hong Kong
Bo Fan China
Han Cui China
Żaneta Kałuzińska‐Kołat Poland
Mahalingam Rajamanickam Vijayakumar India
Tong Yang China
Yinghui Wei China
Xuan Huang China
Tsung‐Lang Chiu Taiwan
Xiaoyang Chu relative to Pradip R. Chaudhari India Pradip R. Chaudhari's profile →
Citations per field
00.5×2×4×6×
Pradip R. Chaudhari · 1×
Citations per year

Countries citing papers authored by Xiaoyang Chu

Since Specialization
Citations

This map shows the geographic impact of Xiaoyang Chu'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 Xiaoyang Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyang Chu more than expected).

Fields of papers citing papers by Xiaoyang Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoyang Chu. 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 Xiaoyang Chu. The network helps show where Xiaoyang Chu may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiaoyang Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoyang Chu Line = papers co-authored together Xiaoyang Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018144
2 2020128
3 201854
4 201950
5 201950
6 202140
7 202137
8 201826
9 202226
10 201824
11 202216
12 201915
13 202115
14 202413
15 202212
16 202011
17 202010
18 20228
19 20228
20 20248

About Xiaoyang Chu

Xiaoyang Chu is a scholar working on Biomaterials, Pharmaceutical Science, Molecular Biology, Genetics and Geriatrics and Gerontology, having authored 27 papers that have together received 709 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (6 papers), RNA Interference and Gene Delivery (4 papers), Mesenchymal stem cell research (3 papers), MicroRNA in disease regulation (2 papers), Drug Solubulity and Delivery Systems (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), Advanced Drug Delivery Systems (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Biomaterials (249 citations), Pharmaceutical Science (71 citations), Geriatrics and Gerontology (18 citations), Biomedical Engineering (220 citations) and Molecular Biology (290 citations). Xiaoyang Chu has collaborated with scholars based in China, Canada and Portugal. Frequent co-authors include Chunsheng Gao, Shiyao Fu, Lin Cui, Wei Gong, Yang Yang, Meiyan Yang, Han Na Yang, Baoshan Sun, Yi Li and Chunhong Gao. Their work appears in journals such as Drug Delivery, Pharmaceutics, International Journal of Nanomedicine, AAPS PharmSciTech and Frontiers in Bioengineering and Biotechnology.

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.

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