Xianyi Sha

6.2k total citations · 1 hit paper
98 papers, 5.3k citations indexed

About

Xianyi Sha is a scholar working on Molecular Biology, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Xianyi Sha has authored 98 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 38 papers in Biomaterials and 30 papers in Biomedical Engineering. Recurrent topics in Xianyi Sha's work include Nanoparticle-Based Drug Delivery (38 papers), Nanoplatforms for cancer theranostics (28 papers) and RNA Interference and Gene Delivery (13 papers). Xianyi Sha is often cited by papers focused on Nanoparticle-Based Drug Delivery (38 papers), Nanoplatforms for cancer theranostics (28 papers) and RNA Interference and Gene Delivery (13 papers). Xianyi Sha collaborates with scholars based in China, United States and South Korea. Xianyi Sha's co-authors include Xiaoling Fang, Yanzuo Chen, Jijin Gu, Xinyi Jiang, Hongliang Xin, Liangcen Chen, Junguo Hao, Wei Zhang, Wuli Yang and Ye Jiang and has published in prestigious journals such as Advanced Materials, Neuron and Journal of Clinical Oncology.

In The Last Decade

Xianyi Sha

97 papers receiving 5.3k citations

Hit Papers

Anti-CHAC1 exosomes for nose-to-brain delivery of miR-760... 2023 2026 2024 2025 2023 25 50 75 100

Peers

Xianyi Sha
Comparison fields: 5 of 128
  • Biomaterials 2.7k
  • Molecular Biology 2.1k
  • Biomedical Engineering 1.9k
  • Pharmaceutical Science 819
  • Oncology 671
Replace Zhonggao Gao with:
Zhonggao Gao China
Wenbing Dai China
Silvia Arpicco Italy
Xiaoling Fang China
Swati Biswas India
Bing He China
Songwei Tan China
Wan-Liang Lü China
Ran Mo China
Josbert M. Metselaar Netherlands
Zhonggao Gao China View profile →
Citations per field, relative to Xianyi Sha
Xianyi Sha · 1×
Citations per year, relative to Xianyi Sha
Xianyi Sha · 1×

Countries citing papers authored by Xianyi Sha

Since Specialization
Citations

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

Fields of papers citing papers by Xianyi Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianyi Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Xianyi Sha. A scholar is included among the top collaborators of Xianyi Sha 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 Xianyi Sha. Xianyi Sha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 0
3 2
4 1
5 3
6 19
7 9
8 23
9 30
10 26
11 87
12 255
13 30
14 40
15 97
16 19
17 21
18 10
19 51
20 50

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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2026