Liyan Bi

937 citations
24 papers · 732 · h-index 15

Impact in

Papers in

Liyan Bi

23 papers receiving 721 citations

Peers

Liyan Bi
Comparison fields: 5 of 93
  • Biophysics 118
  • Electronic, Optical and Magnetic Materials 302
  • Biomedical Engineering 405
  • Molecular Biology 359
  • Bioengineering 22
Replace Giorgia Giovannini with:
Giorgia Giovannini Switzerland
Stacey Laing United Kingdom
Cuicui Fu China
Lijia Liang China
Daniel David Galvan United States
Jaehi Kim South Korea
Samuel Mabbott United States
Mi Suk Noh South Korea
Adelaide Miranda Portugal
Xiangxu Jiang China
Liyan Bi relative to Giorgia Giovannini Switzerland Giorgia Giovannini's profile →
Citations per field
00.5×5.5×
Giorgia Giovannini · 1×
Citations per year

Countries citing papers authored by Liyan Bi

Since Specialization
Citations

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

Fields of papers citing papers by Liyan Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202092
2 201892
3 202087
4 201265
5 202357
6 201336
7 201936
8 202433
9 202033
10 201332
11 202030
12 202026
13 202325
14 201823
15
Fatty acid extracts facilitate cutaneous wound healing through activating AKT, ERK, and TGF-β/Smad3 signaling and promoting angiogenesis.
202018
16 202013
17 20248
18 20188
19 20256
20 20125

About Liyan Bi

Liyan Bi is a scholar working on Molecular Biology, Biomedical Engineering, Electronic, Optical and Magnetic Materials, Materials Chemistry and Biophysics, having authored 24 papers that have together received 732 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (13 papers), Gold and Silver Nanoparticles Synthesis and Applications (12 papers), Biosensors and Analytical Detection (10 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers), Electrochemical sensors and biosensors (2 papers), SARS-CoV-2 detection and testing (2 papers), Advanced Nanomaterials in Catalysis (2 papers) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Biophysics (118 citations), Electronic, Optical and Magnetic Materials (302 citations), Biomedical Engineering (405 citations), Molecular Biology (359 citations) and Bioengineering (22 citations). Liyan Bi has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Lingxin Chen, Xiaowei Cao, Jaebum Choo, Qingyin Zheng, Yixuan Wu, Weiping Qian, Jian Dong, Hao Chen, Yunqing Wang and Wenbo Lu. Their work appears in journals such as Biosensors and Bioelectronics, Nanoscale, Analytical and Bioanalytical Chemistry, Journal of Materials Chemistry B and RSC Advances.

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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