Yin Gu

824 citations
45 papers · 620 · h-index 14

Impact in

Papers in

    • Biosensors and Analytical Detection 9
    • Microfluidic and Capillary Electrophoresis Applications 5
    • Innovative Microfluidic and Catalytic Techniques Innovation 2
    • Advanced biosensing and bioanalysis techniques 5

Yin Gu

39 papers receiving 598 citations

Peers

Yin Gu
Comparison fields: 5 of 124
  • Endocrine and Autonomic Systems 57
  • Anesthesiology and Pain Medicine 35
  • Biomedical Engineering 208
  • Behavioral Neuroscience 16
  • Cellular and Molecular Neuroscience 65
Replace Tetsuya Hayashi with:
Tetsuya Hayashi Japan
D. G. Frazer United States
A. A. Fawcett Australia
T Nishiyama Japan
Min Young Seo South Korea
John Klaessens Netherlands
Limin Liao China
Ji‐Sun Kim South Korea
Juan Luo China
Yin Gu relative to Tetsuya Hayashi Japan Tetsuya Hayashi's profile →
Citations per field
00.5×4.3×
Tetsuya Hayashi · 1×
Citations per year

Countries citing papers authored by Yin Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yin Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201777
2 199375
3 201755
4 202147
5 201840
6 199326
7 201625
8 201725
9 202124
10 200722
11 201022
12 201119
13 202218
14 201718
15 201913
16 202112
17 201012
18 201612
19 202411
20 201911

About Yin Gu

Yin Gu is a scholar working on Biomedical Engineering, Molecular Biology, Infectious Diseases, Health, Toxicology and Mutagenesis and Physiology, having authored 45 papers that have together received 620 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (9 papers), SARS-CoV-2 detection and testing (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Thermoregulation and physiological responses (4 papers), Climate Change and Health Impacts (4 papers), Wind and Air Flow Studies (3 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (57 citations), Anesthesiology and Pain Medicine (35 citations), Biomedical Engineering (208 citations), Behavioral Neuroscience (16 citations) and Cellular and Molecular Neuroscience (65 citations). Yin Gu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Peng Liu, J. A. Deutsch, Manuel F. Gonzalez, Jiansong Wu, Junping Han, Jing Sun, Caixia Li, Shanglin Li, Chengwei Zhang and Andrew A. Freiberg. Their work appears in journals such as Analytical Chemistry, Sensors and Actuators B Chemical, Energy, Inflammation Research and Brazilian Journal of Medical and Biological Research.

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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