Chenjian Gu
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
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- Advanced biosensing and bioanalysis techniques
- vaccines and immunoinformatics approaches
- RNA Interference and Gene Delivery
Papers in
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- SARS-CoV-2 and COVID-19 Research 7
- SARS-CoV-2 detection and testing 5
- COVID-19 Clinical Research Studies 4
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- Advanced biosensing and bioanalysis techniques 3
- Co-authors
- Youhua Xie (21 shared papers)Shibo Jiang (5 shared papers)Lu Lu (5 shared papers)Di Qu (5 shared papers)Shuai Xia (4 shared papers)Wei Xu (6 shared papers)Xia Cai (5 shared papers)Dacheng Wei (3 shared papers)
In The Last Decade
Chenjian Gu
22 papers receiving 1.4k citations
Chenjian Gu's Hit Papers
Peers
Comparison fields: 5 of 97
- Infectious Diseases 700
- Molecular Biology 625
- Bioengineering 49
- Biomedical Engineering 372
- Immunology 148
Countries citing papers authored by Chenjian Gu
This map shows the geographic impact of Chenjian 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 Chenjian Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenjian Gu more than expected).
Fields of papers citing papers by Chenjian Gu
This network shows the impact of papers produced by Chenjian 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 Chenjian Gu. The network helps show where Chenjian Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenjian 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Rapid and ultrasensitive electromechanical detection of ions, biomolecules and SARS-CoV-2 RNA in unamplified samples Hit paper breakdown → | 2022 | 267 |
| 2 | 2020 | 210 | |
| 3 | 2020 | 186 | |
| 4 | 2020 | 145 | |
| 5 | 2020 | 131 | |
| 6 | 2021 | 124 | |
| 7 | 2021 | 56 | |
| 8 | 2021 | 47 | |
| 9 | 2020 | 45 | |
| 10 | 2020 | 41 | |
| 11 | 2017 | 37 | |
| 12 | 2017 | 35 | |
| 13 | 2021 | 33 | |
| 14 | 2017 | 21 | |
| 15 | 2021 | 17 | |
| 16 | 2020 | 14 | |
| 17 | 2019 | 11 | |
| 18 | 2019 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2020 | 4 |
About Chenjian Gu
Chenjian Gu is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Immunology and Biomedical Engineering, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Hepatitis B Virus Studies (6 papers), SARS-CoV-2 detection and testing (5 papers), COVID-19 Clinical Research Studies (4 papers), Biosensors and Analytical Detection (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Virus-based gene therapy research (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Infectious Diseases (700 citations), Molecular Biology (625 citations), Bioengineering (49 citations), Biomedical Engineering (372 citations) and Immunology (148 citations). Chenjian Gu has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Youhua Xie, Shibo Jiang, Lu Lu, Di Qu, Shuai Xia, Wei Xu, Xia Cai, Dacheng Wei, Derong Kong and Mingquan Guo. Their work appears in journals such as Cell Discovery, Biochemical and Biophysical Research Communications, Science Bulletin, Signal Transduction and Targeted Therapy and Cell Host & Microbe.
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.