Liyan Bi

979 citations
24 papers · 791 · h-index 15

Impact in

Papers in

Liyan Bi

24 papers receiving 782 citations

Peers

Liyan Bi
Comparison fields: 5 of 93
  • Biophysics 128
  • Electronic, Optical and Magnetic Materials 317
  • Biomedical Engineering 421
  • Molecular Biology 365
  • Bioengineering 24
Replace Lijia Liang with:
Lijia Liang China
Joung‐Il Moon South Korea
Stacey Laing United Kingdom
Jaehi Kim South Korea
Daniel David Galvan United States
Samuel Mabbott United States
Xiangxu Jiang China
Gunsung Kim South Korea
Hyangah Chon South Korea
Y. Yamaguchi Japan
Liyan Bi relative to Lijia Liang China Lijia Liang's profile →
Citations per field
00.5×1.5×2.4×
Lijia Liang · 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 2020100
2 201896
3 202094
4 202368
5 201268
6 201937
7 201336
8 202035
9 201334
10 202434
11 202030
12 202330
13 202028
14 201823
15
Fatty acid extracts facilitate cutaneous wound healing through activating AKT, ERK, and TGF-β/Smad3 signaling and promoting angiogenesis.
202018
16 202014
17 202513
18 202410
19 20189
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 791 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 Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Biophysics (128 citations), Electronic, Optical and Magnetic Materials (317 citations), Biomedical Engineering (421 citations), Molecular Biology (365 citations) and Bioengineering (24 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, Jian Dong, Hao Chen, Weiping Qian, Yunqing Wang and Ying Yang. Their work appears in journals such as Biosensors and Bioelectronics, Nanoscale, Journal of Nanoscience and Nanotechnology, AIP Advances and ACS Applied Materials & Interfaces.

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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