Lide Gu
Impact in
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- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
- RNA Interference and Gene Delivery
- RNA and protein synthesis mechanisms
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- Biosensors and Analytical Detection
Papers in
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- Advanced biosensing and bioanalysis techniques 14
- DNA and Nucleic Acid Chemistry 6
- RNA and protein synthesis mechanisms 4
- RNA Interference and Gene Delivery 2
- Ecology 8
- Microbial Community Ecology and Physiology 5
- Co-authors
- Shujun Wang (9 shared papers)Mingsheng Lyu (9 shared papers)Wanli Yan (8 shared papers)Juewen Liu (10 shared papers)Le Liu (2 shared papers)Wei Ren (6 shared papers)Wen Xu (1 shared paper)Deli Wang (11 shared papers)
In The Last Decade
Lide Gu
21 papers receiving 353 citations
Peers
Comparison fields: 5 of 57
- Molecular Biology 283
- Biomedical Engineering 149
- Endocrinology 12
- Biotechnology 20
- Ecology 59
Countries citing papers authored by Lide Gu
This map shows the geographic impact of Lide 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 Lide Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lide Gu more than expected).
Fields of papers citing papers by Lide Gu
This network shows the impact of papers produced by Lide 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 Lide Gu. The network helps show where Lide Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lide 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
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 92 | |
| 2 | 2019 | 41 | |
| 3 | 2021 | 31 | |
| 4 | 2019 | 30 | |
| 5 | 2023 | 26 | |
| 6 | 2018 | 25 | |
| 7 | 2019 | 17 | |
| 8 | 2023 | 16 | |
| 9 | 2024 | 14 | |
| 10 | 2019 | 11 | |
| 11 | 2018 | 11 | |
| 12 | 2024 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2024 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2018 | 6 | |
| 17 | 2024 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2023 | 2 |
About Lide Gu
Lide Gu is a scholar working on Molecular Biology, Ecology, Biomedical Engineering, Materials Chemistry and Pollution, having authored 25 papers that have together received 365 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (14 papers), DNA and Nucleic Acid Chemistry (6 papers), Biosensors and Analytical Detection (5 papers), Microbial Community Ecology and Physiology (5 papers), RNA and protein synthesis mechanisms (4 papers), Marine and coastal ecosystems (3 papers), Molecular Sensors and Ion Detection (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Molecular Biology (283 citations), Biomedical Engineering (149 citations), Endocrinology (12 citations), Biotechnology (20 citations) and Ecology (59 citations). Lide Gu has collaborated with scholars based in China and Canada. Frequent co-authors include Shujun Wang, Mingsheng Lyu, Wanli Yan, Juewen Liu, Le Liu, Wei Ren, Wen Xu, Deli Wang, Yao Zhang and Yuzhe Ding. Their work appears in journals such as Environmental Research, ACS Chemical Biology, ACS Omega, Analytical Biochemistry and Environmental Science and Pollution 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.