Xiang Yi

1.5k total citations
24 papers, 1.2k citations indexed

About

Xiang Yi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Xiang Yi has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Neurology. Recurrent topics in Xiang Yi's work include RNA Interference and Gene Delivery (5 papers), Lipid Membrane Structure and Behavior (4 papers) and Regulation of Appetite and Obesity (4 papers). Xiang Yi is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), Lipid Membrane Structure and Behavior (4 papers) and Regulation of Appetite and Obesity (4 papers). Xiang Yi collaborates with scholars based in United States, Russia and Macao. Xiang Yi's co-authors include Alexander V. Kabanov, William A. Banks, Ying Zheng, Simon Ming‐Yuen Lee, Jamie L. Gilmore, Tongkai Chen, Devika S. Manickam, Rainer Jordan, Robert Luxenhofer and Jing Tong and has published in prestigious journals such as Biomaterials, Advanced Functional Materials and ACS Applied Materials & Interfaces.

In The Last Decade

Xiang Yi

24 papers receiving 1.2k citations

Peers

Xiang Yi
Comparison fields: 5 of 101
  • Molecular Biology 382
  • Biomaterials 347
  • Biomedical Engineering 227
  • Materials Chemistry 206
  • Pharmaceutical Science 183
Replace Jason Thomas Duskey with:
Jason Thomas Duskey Italy
Avinash Gothwal India
Xiaowei Dong United States
Buddhadev Layek United States
Zibin Gao China
Hongzhuo Liu China
Devika S. Manickam United States
Matteo Battaglini Italy
Mara Canovi Italy
Xiyang Sun China
Jason Thomas Duskey Italy View profile →
Citations per field, relative to Xiang Yi
Xiang Yi · 1×
Citations per year, relative to Xiang Yi
Xiang Yi · 1×

Countries citing papers authored by Xiang Yi

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Yi. A scholar is included among the top collaborators of Xiang Yi 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 Xiang Yi. Xiang Yi 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 5
2 21
3 53
4 23
5 61
6 41
7 26
8 46
9 72
10 3
11 93
12 73
13 39
14 17
15 67
16 80
17 23
18 59
19 48
20 151

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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