Wei Gu
- Infectious Diseases top 1%
- Biomedical Engineering top 1%
- Microfluidic and Capillary Electrophoresis Applications 9
- Microfluidic and Bio-sensing Technologies 5
- 3D Printing in Biomedical Research 5
- Microbiology top 5%
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 12
- RNA and protein synthesis mechanisms 4
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- Aquaculture disease management and microbiota 5
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- Advanced Photonic Communication Systems 4
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- Cancer Genomics and Diagnostics 4
Wei Gu
99 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Infectious Diseases 1.4k
- Biomedical Engineering 2.0k
- Business and International Management 84
- Microbiology 28
- Molecular Biology 2.4k
Countries citing papers authored by Wei Gu
This map shows the geographic impact of Wei 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 Wei Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Gu more than expected).
Fields of papers citing papers by Wei Gu
This network shows the impact of papers produced by Wei 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 Wei Gu. The network helps show where Wei Gu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 18 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 14 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 11 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 29 | |
| 13 | 2022 | 82 | |
| 14 | CRISPR–Cas12-based detection of SARS-CoV-2breakdown → | 2020 | 1994 |
| 15 | 2019 | 1 | |
| 16 | 2017 | 15 | |
| 17 | [Clinical diagnosis and treatment in an outbreak of Fasciola gigantica infection in Yunnan Province]. | 2012 | 5 |
| 18 | Magnetic gradiometer based on technique of three-tip fluxgate | 2008 | 1 |
| 19 | Studies of engineering design of PMSM | 2006 | 4 |
| 20 | 2006 | 17 |
About Wei Gu
Wei Gu is a scholar working on Business and International Management, Biomedical Engineering, Small Animals, Molecular Biology and Cancer Research, having authored 109 papers that have together received 5.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), Microfluidic and Capillary Electrophoresis Applications (9 papers), Microfluidic and Bio-sensing Technologies (5 papers), Aquaculture disease management and microbiota (5 papers), 3D Printing in Biomedical Research (5 papers), Advanced Photonic Communication Systems (4 papers), Cancer Genomics and Diagnostics (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Biomedical Engineering (2.0k citations), Business and International Management (84 citations), Microbiology (28 citations) and Molecular Biology (2.4k citations). Wei Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Charles Y. Chiu, Steve Miller, Shuichi Takayama, Nobuyuki Futai, Elaine Hsu, Guixia Yu, Xin Miao, Chao‐Yang Pan, Debra A. Wadford and Jasmeet Singh. Their work appears in journals such as Computers and Electronics in Agriculture, Optics Express, Society & Natural Resources, Applied Physics Letters and PLoS Genetics.
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.