Xiaoli Yi

2.7k citations
66 papers · 1.0k · h-index 17

Impact in

Papers in

Xiaoli Yi

60 papers receiving 1.0k citations

Peers

Xiaoli Yi
Comparison fields: 5 of 97
  • Sensory Systems 105
  • Biomaterials 177
  • Automotive Engineering 120
  • Parasitology 39
  • Electrical and Electronic Engineering 350
Replace Brian Lin with:
Brian Lin United States
Suran Kim South Korea
Eiva Bernotienė Lithuania
Young Ha Kim South Korea
Shinichiro Mori Japan
Asish C. Misra United States
Yixuan Shang China
Rahim Esfandyarpour United States
Seungman Park South Korea
Yujie Hua China
Xiaoli Yi relative to Brian Lin United States Brian Lin's profile →
Citations per field
00.5×10×16.7×
Brian Lin · 1×
Citations per year

Countries citing papers authored by Xiaoli Yi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoli Yi, 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 Xiaoli Yi Line = papers co-authored together Xiaoli Yi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022136
2 201698
3 201579
4 201677
5 202360
6 201760
7 202251
8 201949
9 201444
10 202137
11 198630
12 202229
13 202124
14 202222
15 202421
16 200816
17 202116
18 201314
19 202313
20 202312

About Xiaoli Yi

Xiaoli Yi is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Biomedical Engineering, Cancer Research and Automotive Engineering, having authored 66 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advancements in Battery Materials (10 papers), Advanced Battery Materials and Technologies (10 papers), Nanoplatforms for cancer theranostics (6 papers), Advanced Battery Technologies Research (5 papers), Renin-Angiotensin System Studies (5 papers), Supercapacitor Materials and Fabrication (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Apelin-related biomedical research (4 papers). The work is most often cited by research in Sensory Systems (105 citations), Biomaterials (177 citations), Automotive Engineering (120 citations), Parasitology (39 citations) and Electrical and Electronic Engineering (350 citations). Xiaoli Yi has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jiexi Wang, Yao Fu, Tao Gong, Guochun Yan, Huajun Guo, Zhirong Zhang, Xinhai Li, Jing Zhong, Zhixing Wang and Wenhao Li. Their work appears in journals such as Small, Advanced Functional Materials, Journal of Controlled Release, Materials Today Bio and The Journal of Immunology.

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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